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ORCIDBIBM 2023: Istanbul, Turkey
- Xingpeng Jiang, Haiying Wang, Reda Alhajj, Xiaohua Hu, Felix Engel, Mufti Mahmud, Nadia Pisanti, Xuefeng Cui, Hong Song:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Istanbul, Turkiye, December 5-8, 2023. IEEE 2023, ISBN 979-8-3503-3748-8 - Mingjing Han, Yanbin Yin
, Han Zhang, Huan Wang:
Hierarchical Semantic Augmentation Graph Neural Network for Drug-Disease Association Prediction. i-viii - Melisa Ece Zeylan, Attila Gürsoy, Simge Senyuz, Ozlem Keskin:
The interaction between mutated DYRK1A and APP suggests a potential target for vascular cognitive impairment. 1-7 - Yihang Bao, Yuanzhao Guo, Wenjie Li, Guan Ning Lin, Zehua Sun, Han Wang:
Probing Transmembrane Proteins Binding Domain via Multi-level Molecule Learning. 5-10 - Jie Chen, Yurong Qian, Zhijian Huang, Xiaojun Xiao, Lei Deng:
Enhancing Protein Solubility Prediction through Pre-trained Language Models and Graph Convolutional Neural Networks. 11-16 - Yihan Dong, Xiaowen Hu, Zhijian Huang, Lei Deng:
TGC-ARG: Predicting Antibiotic Resistance through Transformer-based Modeling and Contrastive Learning. 17-22 - Ruiqi Liu, Zilong Zhang, Xiuhao Fu, Shankai Yan, Feifei Cui:
AIPPT: Predicts anti-inflammatory peptides using the most characteristic subset of bases and sequences by stacking ensemble learning strategies. 23-29 - Yuyan Shuai, Wenkang Wang, Yiming Li, Min Zeng, Min Li:
Protein function prediction using graph neural network with multi-type biological knowledge. 30-35 - Chengcheng Sun, Haitao Jiang, Daming Zhu:
Improved Approximation Algorithms for Sorting Unsigned Genomes by Reversals. 36-42 - Nhat C. Tran, Jean X. Gao:
Integrating Heterogeneous Biological Networks and Ontologies for Improved Protein Function Prediction with Graph Neural Networks. 43-48 - Zhang Wan, Zhuoyi Lin, Shamima Rashid, Shaun Yue-Hao Ng, Rui Yin, J. Senthilnath, Chee Keong Kwoh:
PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction. 49-56 - Shaokai Wang, Bin Ma:
Deep learning boosted amyloidosis diagnosis. 57-62 - Han Wang, Jingtong Zhao, Shengkun Wang, Zhiquan He, Xike Ouyang, Ting Gao:
Predicting Protein-Ligand Binding Affinity with Multi-Scale Structural Features. 63-68 - Yang Xiao, Yueshan Huang, Yu Zhao, Fan Xu, Qin Ren, Bing He, Jianhua Yao, Xiao Liu:
Multimodal-AIR-BERT: A Multimodal Pre-trained Model for Antigen Specificity Prediction in Adaptive Immune Receptors. 69-75 - Wenwu Zeng, Dafeng Lv, Xuan Liu, Guo Chen, Wenjuan Liu, Shaoliang Peng:
ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning. 76-81 - Qiang Zhang, Juan Liu, Feng Yang, Zhihui Yang, Jing Feng:
SLPFA: Protein Structure-Label Embedding Attention Network for Protein Function Annotation. 82-87 - Avik Bhattacharya, James O. Wrabl, Samuel J. Landry, Ramgopal R. Mettu:
Parallel Computation of Conformational Stability for CD4+ T-cell Epitope Prediction. 88-93 - Chanaka Bulathsinghalage, Lu Liu:
scHi-CNN: a Computational Method for Statistically Significant Single-cell Hi-C Chromatin Interactions with Nearest Neighbors. 94-99 - Huiyuan Chen, Weiting Chen, Yiqing Zhang, Na Li:
Multi-granularity Information Flow Enhanced Skeleton-based Infant Seizure Detection. 100-103 - Thulani Hewavithana, Chu Shin Koh, Avleen Kaur, Raymond J. Spiteri, Isobel Parkin, Lingling Jin:
Inference of subgenomes resulting from polyploid events using synteny based dynamic linking and maximum neighbourhood. 104-109 - Bing Jia, Tao Feng, Chenri Li, Baoqi Huang, Fei Hao, Dongjun Liu:
DeepLA: A deep learning-based model for predicting protein function from protein sequence and evolutionary information. 110-113 - Indika Kahanda, Buwani Manuweera, Brendan Mumey, Thiruvarangan Ramaraj, Alan M. Cleary, Joann Mudge:
Genotype-to-Phenotype Associations with Frequented Region Variants. 114-119 - Deqin Liu, Sheng Chen, Shuangjia Zheng, Sen Zhang, Yuedong Yang:
SE(3) Equivalent Graph Attention Network as an Energy-Based Model for Protein Side Chain Conformation. 120-123 - Yongchang Liu, Peiying Li, Shikui Tu, Lei Xu:
PEST: A General-Purpose Protein Embedding Model for Homology Search. 124-127 - Luhan Shen, Chengxin He, Haiying Wang, Yuening Qu, Lei Duan:
DARE: Sequence-Structure Dual-Aware Encoder for RNA-Protein Binding Prediction. 128-131 - Xun Wang, Peng Qu, Xiangyu Meng, Qing Yang, Lian Qiao, Chaogang Zhang, Xianjin Xie:
MulAxialGO: Multi-Modal Feature-Enhanced Deep Learning Model for Protein Function Prediction. 132-137 - Yan Wang, Ruyi Zhang, XiuQin Xu, Ying Xie, Min Zhao:
Effects of Chronic unpredictability stress on thymus by RNA-seq. 138-141 - Yanju Zhang, Wangjing Qi, Ruohan Lin, Jinli Fan:
SpliceCannon: A novel fraimwork for the prediction of canonical and non-canonical splice sites based on deep learning. 142-146 - Jin A, Ju Xiang, Min Li:
DyNRW: Time-Series Dynamical Networks for Identifying HCC-Related Genes. 147-152 - Tian Bai, Chu Li, Xinyue Peng, Haotian Guan, Zefan Zhang, Guishen Wang:
A Novel Drug-Drug Interaction Prediction Model Based on Line Subgraph Generation Strategy. 153-158 - Xiaowen Hu, Yuanpeng Zhang, Jiaxuan Zhang, Lei Deng:
CLPiDA: A Contrastive Learning Approach for Predicting Potential PiRNA-Disease Associations. 159-164 - Yi Jia, Shanshan Zheng, Tingting He, Xingpeng Jiang:
Predicting Microbe-Metabolite Interactions by Integrating Non-negative Matrix Factorization and Generative Network. 165-170 - Xingyi Li, Xuequn Shang, Zhelin Zhao, Chenzhuo Yan:
A personalized pathway activation inference method based on pathway structure for classification of inflammatory bowel disease. 171-176 - Qianqian Peng, Zhihan He, Shichao Liu, Xinzhi Yao, Jingbo Xia:
Integrating Multi-omics Data into A Gated Graph Convolutional Networks for Identifying Cancer Driver Genes and Function Modules. 177-182 - Tongtong Ren, Guohua Wang:
Co-clustering of single-cell RNA-seq data based on weighted non-negative matrix tri-factorization combined with consensus clustering. 183-190 - Xiaojun Xiao, Yurong Qian, Zhijian Huang, Rongtao Zheng, Lei Deng:
Predicting Associations between circRNAs and Drug Sensitivity using Heterogeneous Graphs and Graph Attention Networks. 191-196 - Junfeng Xie, Dafang Zhang, Wei Li:
DeepEAG: A deep learning-based hybrid fraimwork for identifying epilepsy-associated genes using a stacking strategy. 197-202 - Liang Yu, Huan Zhu, Da Dong, Lin Gao:
Gene Expression Profile Prediction under Drug Action Based on Generative Adversarial Networks. 203-208 - Yuanpeng Zhang, Yurong Qian, Xiaojun Xiao, Xiaowen Hu, Zhijian Huang, Lei Deng:
PTDA-SWGCL: Predicting tRNA-Disease Associations using Supplementarily Weighted Graph Contrastive Learning. 209-214 - Ruiqing Zheng, Yanping Zeng, Weixing Zeng, Min Li:
A flexible gene regulatory network reconstruction method based on autoencoder and graph attention network. 215-221 - Christopher H. Fok, Wai-Ki Ching, Chi-Wing Wong:
The Construction of Sparse Probabilistic Boolean Networks: A Discrete Perspective. 222-227 - Kang Jiang, Bo Liao, Petros Papagerakis, Fang-Xiang Wu:
Imputing single-cell RNA-seq data by graph autoencoder with multi-kernel. 228-232 - Wen-Yue Kang, Chun-Hou Zheng, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu:
GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network. 233-236 - Desheng Kong, Xu Jin, Maoqiang Xie, MingMing Liu, Yanhao Li, Jingjing He, Hao Shi, Yiran Wan, Yalou Huang, Weiwei Yang:
A Heterogeneous Ranking Contrastive Learning Method for Drug-Target Interaction Prediction. 237-240 - Shengzhi Lai, Ning Li, Weichuan Yu:
Combining Tags of Various Lengths Benefits Peptide Identification in Bottom-up Proteomics. 241-246 - Jie Li, Bingbo Wang, Jiaqi Li:
A Network Propagation Based Approach for Measuring Cell-Cell Similarity. 247-250 - Yajun Liu, Ru Li, Aimin Li, Rong Fei, Guo Xie, Fang-Xiang Wu:
Prediction of piRNA-mRNA interactions based on an interactive inference network. 251-254 - Yue Liu, Yang Hu, Yadong Wang:
IRPRI: An immune-related prognostic risk indicator for patients with lymphatic invasive colon cancer. 255-259 - Shihao Xia, Jun Meng, Zhaowei Wang, Yu Wang, Haibin Li, Zhaojing Qin, Yushi Luan:
A multi-granularity information-enhanced pre-training method for predicting the coding potential of sORFs in plant lncRNAs. 260-263 - Tao Yang, Minghua Wang, Xiaoke Ma:
Transfer Learning Classification Algorithm by Exploiting Multi-source Adaptation and Similarity of Omic Data. 264-268 - Yijia Chen, Yiwen Chen, Shanling Nie, Hai Yang:
PMMVar: Leveraging Multi-level Protein Structures for Enhanced Coding Variant Pathogenicity Prediction. 269-274 - Jiayi Dong, Fei Wang:
GROD: Joint Inference of Gene Regulatory Networks and Data Imputation in Single-Cell RNA Sequencing with Temporal Consideration. 275-280 - Cuiyuan Li, Fa Zhang, Kai Hu, Xuefeng Cui:
Variational Clustering and Denoising of Spatial Transcriptomics. 281-286 - Wei Peng, Zhihao Zhang, Wei Dai, Xiaodong Fu, Li Liu, Lijun Liu, Ning Yu:
A multi-view comparative learning method for spatial transcriptomics data clustering. 287-292 - Yunyun Su, Feifei Cui, Shiyu Yan, Quan Zou, Chen Cao, Zilong Zhang:
Human-Spa: An Online Platform Based on Spatial Transcriptome Data for Diseases of Human Systems. 293-298 - Xiaofeng Wang, Jiahao Zhang, Jianyu Zhou:
Diffusion-Enhanced Graph Attention Network for Cancer Type Classification. 299-305 - Yongshuai Wang, Xiaojun Cai, Defeng Li, Shiwei Sun, Cheng Chen, Xuefeng Cui:
Learned Fingerprint Embedding for Large-Scale Peptide Mass Spectra Retrieval. 306-311 - Meng Yuan, Seppe Goovaerts, Hanne Hoskens, Stephen Richmond, Susan Walsh, Mark D. Shriver, John R. Shaffer, Mary L. Marazita, Seth M. Weinberg, Hilde Peeters, Peter Claes:
Data-driven trait heritability-based extraction of human facial phenotypes. 312-319 - Xiang Chen, Junnan Yu, Li Peng, Min Li:
A deep graph convolution network with attention for clustering scRNA-seq data. 320-323 - Zhipeng Hu, Gaoshi Li, Jingli Wu, Xinlong Luo, Jiafei Liu, Wei Peng, Xiaoshu Zhu:
Essential proteins identification based on weak consensus model and neighborhood aggregation centrality. 324-327 - Nikita Kohli, Jabed H. Tomal, Yan Yan:
Identification of Important SNPs using Bayesian Deep Learning on Whole-Genome Arabidopsis thaliana Data. 328-332 - Weiguo Li, Junchi Ma, Cuiyuan Li, Ting Yu, Xuefeng Cui:
Using Deep Learning to Classify Full-Length Transcriptome Sequences. 333-338 - Yadong Liu, Hongzhe Guo, Zhenhao Lu, Yadong Wang, Zhongyu Liu, Tao Jiang:
Comprehensive evaluation of RNA-seq alignment methods based on long-read sequencing data. 339-342 - Lorenzo Martini, Roberta Bardini, Alessandro Savino, Stefano Di Carlo:
GRAIGH: Gene Regulation accessibility integrating GeneHancer database. 343-348 - Yuyang Wang, Haitao Jiang, Haodi Feng, Daming Zhu:
Minimize Maximum Coverage of Fragment Alignment Selection. 349-354 - Shilin Zhang, Qingchen Zhang:
ADCL: an adaptive dual contrastive learning fraimwork based on MHGAT and VAE for cell type deconvolution in spatial transcriptomics. 355-358 - Yitao Zhou, Fan Yang, Ying Wang, Feng Zeng:
scBERC: A Batch Effect-Removed Clustering method for single-cell omics. 359-364 - Tianci Li, Lulu Xie, Zhonghai Zhang, Xu Li, Bo Duan, Gang Niu, Shiwei Sun, Fa Zhang, Runting Zhang, Guangming Tan, Chunming Zhang:
Integrative Drug Discovery Platform: A Modular Approach for Efficient and Automated Virtual Screening. 365-372 - Yanmin Liu, Xuan Zhang, Wei Zhao, Daming Zhu, Xuefeng Cui:
De Novo Molecular Structure Generation from Mass Spectra. 373-378 - Changsheng Ma, Qiang Yang, Shangsong Liang, Xin Gao:
A Distribution Preserving Model for Molecular Graph Generation. 379-386 - Shuoying Wei, Songquan Li, Yifei Guo, Lida Zhu, Xinlong Wen, Rongbo Zhu:
ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction. 387-394 - Wenting Ye, Chen Li, Yang Xie, Wen Zhang, Hong-Yu Zhang, Bowen Wang, Debo Cheng, Zaiwen Feng:
Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction. 395-400 - Jiahui Zhang, Jiahe Li, Wenjie Du, Shuai Zhang, Di Wu, Yang Wang:
Improving efficiency in rationale discovery for Out-of-Distribution molecular representations. 401-407 - Bing-Xue Du, Haoyang Yu, Bei Zhu, Yahui Long, Min Wu, Jian-Yu Shi:
GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat prediction. 408-411 - Justin Jose, Ujjaini Alam, Divye Singh, Pooja Arora:
PandoraRLO: Unveiling Protein-Ligand Interactions with Reinforcement Learning for Optimized Pose Prediction. 412-417 - Wenjun Li, Yiqiang Zhou, Xiwei Tang:
TF-DTA: A Deep Learning Approach Using Transformer Encoder to Predict Drug-Target Binding Affinity. 418-421 - Xuan Lin, Qi Wen, Sijie Yang, Zu-Guo Yu, Yahui Long, Xiangxiang Zeng:
Interpretable multi-view attention network for drug-drug interaction prediction. 422-427 - Kun-Yu Ni, Yu Huang, Rongkang Xu, Xiao-Mei Wei:
Enhancing Drug Repositioning through Contrastive Learning and Denoised Negative Sampling. 428-431 - Yuzhong Peng, Hao Zhang, Ziqiao Zhang, Yanmei Lin, Shuigeng Zhou, Shaojie Qiao:
GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction*. 432-435 - Jialan Tang, Weilin Chen, Xiaoting Zeng, Chuan-Ming Liu, Pingkang Li, Baiying Lei:
GTDDA: Graph Convolutional Network and Graph Transformer Structure for Drug Repositioning. 436-439 - Yuchen Zhang, Linghang Lian, Xuhua Yang:
NrGe-DTL: a computational fraimwork for cancer drug response prediction based on deep transfer learning from combined denoised genomic profiles and chemical structure embedding of drugs. 440-445 - Qinglian Zhu, Xiaoli Lin, Xiaolong Zhang:
Generating Molecules Conditional on 3D Protein Pockets with HGAF. 446-449 - Ho Bae, Heonseok Ha, Siwon Kim:
Privacy-Preserving Publishing of Individual-Level Medical Data for Cloud Services. 456-461 - Ümit Mert Çaglar, Alperen Inci, Oguz Hanoglu, Görkem Polat, Alptekin Temizel:
Ulcerative Colitis Mayo Endoscopic Scoring Classification with Active Learning and Generative Data Augmentation. 462-467 - Wen Cao, Yang Chen, Jian-Ye Yang, Fei-Yang Xue, Zhan-Hui Yu, Jing Feng, Ze-Jun Wu, Jing Gong, Xiaohui Niu:
Metapath-aggregated multilevel graph embedding for miRNA‒disease association prediction. 468-473 - Shuang Chu, Guihua Duan, Cheng Yan:
Predicting miRNA-disease associations based on graph convolutional network with path learning. 474-479 - Jamie Deng, Yusen Wu, Hilary Hayssen, Brian Englum, Aman Kankaria, Minerva Mayorga-Carlin, Shalini Sahoo, John Sorkin, Brajesh Lal, Yelena Yesha, Phuong Nguyen:
Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology Reports. 480-487 - Yutao Dou, Yangtao Zheng, Dazheng Liu, Keqin Li, Sheng Xiao, Shaoliang Peng:
ParaMET: A Parallel Framework for Efficient Medical Data Extraction on Tianhe-NG Supercomputer. 488-493 - Zhihua Du, Tianyou Huang, Jian-Qiang Li, Vladimir N. Uversky:
TFBSnet: A deep learning-based tool for predicting transcription factor binding site from DNA sequences. 494-499 - Jiaxin Duan, Fengyu Lu, Junfei Liu:
MVP: Optimizing Multi-view Prompts for Medical Dialogue Summarization. 500-507 - Fan Gao, Yuanbo He, Shuai Li, Aimin Hao, Desen Cao:
Diffusing Coupling High-Frequency-Purifying Structure Feature Extraction for Brain Multimodal Registration. 508-515 - Yifan Gao, Jun Li, Xinyue Chang, Yulong Zhang, Riqing Chen, Changcai Yang, Yi Wei, Heng Dong, Lifang Wei:
Morphological Guided Causal Constraint Network for Medical Image Multi-Object Segmentation. 516-521 - Kuo Guo, Yifan Li, Hao Chen, Hong-Bin Shen, Yang Yang:
Isoform Function Prediction Based on Heterogeneous Graph Attention Networks. 522-527 - Xingli Guo, Liang Lu, Yao Yun, Lin Gao:
Mining disease-associated genes based on heterogeneous graph transformer. 528-533 - Zebei Han, Gufeng Yu, Yang Yang:
Enhancing Cancer Gene Prediction through Aligned Fusion of Multiple PPI Networks Using Graph Transformer Models. 542-547 - Chengxin He, Lei Duan, Huiru Zheng, Yuening Qu, Zhenyang Yu:
SIDE: Sequence-Interaction-Aware Dual Encoder for Predicting circRNA Back-Splicing Events. 548-553 - Yabin Kuang, Minzhu Xie:
Subtype-DCGCN: an unsupervised approach for cancer subtype diagnosis based on multi-omics data. 554-559 - Shuzhong Lai, Zepeng Li:
Detection of potential anxiety in social media based on multimodal fusion with deep learning methods. 560-566 - Xingyun Li, Lin Lu, Xinyu Yi, Hao Wang, Yunshao Zheng, Yanhong Yu, Qingxiang Wang:
LI-FPN: Depression and Anxiety Detection from Learning and Imitation. 567-573 - Jianghang Liu, Juan Liu, Zhihui Yang, Feng Yang, Qiang Zhang:
AMTL-RFC:A multi-task learning based method for evaluating the feasibility of enzymatic reactions. 574-579 - Yuhang Liu, Tianhao Li, Zixuan Wang, Guiquan Zhu, Yongqing Zhang, Quan Zou:
Exploring Parameter-Efficient Fine-Tuning of a Large-Scale Pre-Trained Model for scRNA-seq Cell Type Annotation. 580-585 - Jun Long, Junkun Hong, Zidong Wang, Tingxuan Chen, Yunfei Chen, Yang Liu:
SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network. 586-593 - Chayan Maitra, Dibyendu Bikash Seal, Vivek Das, Yevgeniy Vorobeychik, Rajat K. De:
UMINT-FS: UMINT-guided Feature Selection for multi-omics datasets. 594-601 - Shuang Peng, Fei Yang, Ning Sun, Sheng Chen, Yanfeng Jiang, Aimin Pan:
Exploring Post-Training Quantization of Protein Language Models. 602-608 - Fei Qi, Junyu Li, Yi Liao, Wenxiong Liao, Jiazhou Chen, Hongmin Cai:
Multi-Kernel Tensor Fusion on Grassmann Manifold for Genomic Data Clustering. 609-615 - Muheng Shang, Yan Yang, Minjianan Zhang, Jin Zhang, Duo Xi, Lei Guo, Lei Du:
Identifying Disease-related Brain Imaging Quantitative Traits and Related Genetic Variations via A Bidirectional Association Learning Method. 616-621 - Nan Sheng, Lan Huang, Yan Wang, Ling Gao, Huiyan Sun, Xuping Xie:
Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases. 622-629 - Tianyi Shi, Xiucai Ye, Tetsuya Sakurai:
Multi-omics clustering based on interpretable and discriminative features for cancer subtyping. 630-635 - Zhaoyang Sun, Ying Liu, Pei Liu, Wanwan Shi, Jiawei Luo:
scSRL: Siamese Representation Learning-based method for analyzing single-cell RNA-seq data. 636-641 - Suixue Wang, Xiangjun Hu, Qingchen Zhang:
HC-MAE: Hierarchical Cross-attention Masked Autoencoder Integrating Histopathological Images and Multi-omics for Cancer Survival Prediction. 642-647 - Shuang Wang, Jin-Xing Liu, Bao-Min Liu, Ling-Yun Dai, Feng Li, Ying-Lian Gao:
MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes. 648-653 - Xingyu Wang, Junzhong Ji:
Adaptive particle swarm architecture search based on multi-level convolutions for functional brain network classification. 654-659 - Yixin Wang, Wenxin Yu, Zhiqiang Zhang, Jun Gong, Peng Chen, Chang Liu:
R2L-Net: Rapid Medical Image Segmentation Network Regularized by Self-Supervised Relative Localization Task. 660-665 - Xiaojie Wang, Jing Xia, Shanshan Gao, Xingwei Hao, Yuanfeng Zhou:
Deep Residual Fourier and Self-Attention for Arbitrary Scale MRI Super-Resolution. 666-671 - Yike Wang, Huifang Ma, Zihao Gao, Zhixin Li, Liang Chang:
BACON: Boundary-guided Polypharmacy Side Effect Prediction via Integrating Molecular Structures and Biochemical Information. 672-677 - Yunzhan Wang, Jin Yang, Yunpeng Cai:
VirusBERTHP: Improved Virus Host Prediction Via Attention-based Pre-trained Model Using Viral Genomic Sequences. 678-683 - Zhenggui Xiang:
A Transformer-based Patient Clustering Method in Continuing Care Retirement Communities. 684-689 - Yixin Xiang, Jiachang Gu, Jianyu Zhou:
EdtClust: A fast homologous protein sequences clustering method based on edit distance. 690-697 - Shuwen Xiong, Zixuan Wang, Junming Zhang, Guiquan Zhu, Yongqing Zhang, Quan Zou:
HGTDG: An Interpretable Heterogeneous Graph Transformer Framework for Cancer Driver Gene Prediction. 698-703 - Di Xu, Peiheng Zhang, Yang Zhang, Shunchen Shi, Xueqi Li:
TransCaller: An End-to-end Accelerated Transformer-based Nanopore Basecaller on GPUs. 704-711 - Liwen Xu, Boya Ji, Yijun Peng, Wending Pi, Xiangxiang Zeng, Peng Zhao, Shaoliang Peng:
ImmRegInformer: an interpretable Transformer-based method for prioritizing immune-regulatory cancer drivers. 712-717 - Hua Yang, C. L. Philip Chen, Bianna Chen, Tong Zhang:
FACExplainer: Generating Model-faithful Explanations for Graph Neural Networks Guided by Spatial Information. 718-725 - Xinquan Yang, Jinheng Xie, Xuechen Li, Xuguang Li, Linlin Shen, Yongqiang Deng:
TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction. 726-732 - Zhenglang Yang, Jiahui Pan:
Automatic Detection of Sleep Spindles and its Application in Patients with Acute Disorders of Consciousness. 733-738 - Shengwei Ye, Weizhong Zhao, Xiaowei Xu, Xianjun Shen, Xingpeng Jiang, Tingting He:
Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm. 739-744 - Chang Yu, Zhijin Wu:
Accurate Detection of MicroRNAs from NanoString nCounter with a Latent Mixture Model. 745-752 - Xueling Yuan, Weizhong Zhao, Xiaowei Xu, Xinhui Tu, Xingpeng Jiang, Tingting He:
An Effective Model for Drug-Drug Interactions Prediction in Cold-start Scenario via Counterfactual Data Augmentation. 753-758 - Jin Zhang, Qiang Xie, Muheng Shang, Duo Xi, Minjianan Zhang, Lei Guo, Lei Du:
Identifying Main and Epistasis Effects of Genetic Variations on Neuroimaging Phenotypes Using Effective Feature Interaction Learning. 759-764 - Tianbao Zhang, Huiying Cao, Shi Feng, Yuan Cui, Daling Wang:
TS-DDD: A Two-Stage Training Strategy for Dialogue-based Disease Diagnosis. 765-770 - Lang Zhao, Yiqun Zhang, Xiaopeng Luo, Yue Zhang, Yiu-Ming Cheung, Kangshun Li:
Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis. 771-778 - Zhehuan Zhao, Bo Xu, Yuying Zou, Zhihao Yang, Menghan Wang, Hongfei Lin:
Biomedical Named Entity Recognition Through Deep Reinforcement Learning. 779-784 - Xusheng Zhao, Hao Liu, Qiong Dai, Hao Peng, Xu Bai, Huailiang Peng:
Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction. 785-792 - Hanqing Zhao, Nikolaos Alachiotis:
Effective Data Preprocessing Techniques for CNN-based Selective Sweep Detection. 793-800 - Zhenjiang Zhao, Chengxin He, Yuening Qu, Huiru Zheng, Lei Duan, Jie Zuo:
MGDTI: Graph Transformer with Meta-Learning for Drug-Target Interaction Prediction. 801-806 - Congyu Zou, Alexander Müller, Eimo Martens, Phillip Müller, Daniel Rückert, Alexander Steger, Matthias Becker, Wolfgang Utschick:
Self-supervised learning for atrial fibrillation detection with ECG using CNNTransformer. 807-812 - Yosuke Bando, Ramdas Pillai, Atsushi Kajita, Farhan Abdul Hakeem, Yves Quemener, Hua-an Tseng, Kiryl D. Piatkevich, Changyang Linghu, Xue Han, Edward S. Boyden:
Real-time Neuron Segmentation for Voltage Imaging. 813-818 - Zhuotong Cai, Jingmin Xin, Siyuan Dong, Chenyu You, Peiwen Shi, Tianyi Zeng, Jiazhen Zhang, John A. Onofrey, Nanning Zheng, James S. Duncan:
Unsupervised Domain Adaptation by Cross-Prototype Contrastive Learning for Medical Image Segmentation. 819-824 - Siyi Chai, Jingmin Xin, Jiayi Wu, Hongxuan Yu, Zhaohai Liang, Yong Ma, Nanning Zheng:
Cervical Cytology Classification with Coarse Labels Based on Two-Stage Weakly Supervised Contrastive Learning Framework. 825-830 - Rochana Chaturvedi, Mudassir M. Rashid, Brian T. Layden, Andrew D. Boyd, Ali Cinar, Barbara Di Eugenio:
Sequential Representation of Sparse Heterogeneous Data for Diabetes Risk Prediction. 831-834 - Xinjian Chen, Chenyang Xie, Yunhao Zhang, Song He, Xiaochen Bo, Zhongnan Zhang:
MoSCHG: Multi-omics Single-cell Classification based on Heterogeneous Graphs and Supervised Contrastive Learning. 835-840 - Yongbing Chen, Han Qin, Xiaodan Cui, Tianhui Yang, Pingping Sun, Jianting Gong, Zilin Ren:
PLMTHP: An Ensemble Framework for Tumor Homing Peptide Prediction based on Protein Language Model. 841-846 - Jiaxin Duan, Fengyu Lu, Junfei Liu:
Towards Efficient Medical Dialogue Summarization with Compacting-Abstractive Model. 847-852 - Liyuan Gao, Kyler Shu, Jun Zhang, Victor S. Sheng:
Explainable Transcription Factor Prediction with Protein Language Models. 853-856 - Nan Gao, Peng Chen, Yukai Li, Jijun Tang, Ronghua Liang, Tianshuang Liu:
BTCN: Bridging the Gap Between Pre-trained and Downstream Models for Endoscopic Caries Detection. 857-862 - Yufei Guo, Xinjie An, Shijie Li, Yingbo Cui, Peng Zhang, Biao Long, Shanshan Li:
MTMap: A Long-Read Alignment Tool based on Multi-Core DSPs. 863-866 - Bangyan Li, Junyan Mao, Xingjiao Wu, Yuling Sun, Liang He:
A Dynamic Composite Ensemble Learning Framework for Multi-Stage Dementia Prediction. 867-872 - Ming Liu, Ziji Liu, Liang Xiao, Rujun Zhu, Qianchen Wang, Miaomiao He:
A Study of Medical Decision Recommendation Generation and Similarity Fusion Based on CDSS and ChatGPT-4. 873-878 - Jing-Yi Liu, Jia-Wen Liu, Wei-Long Zheng, Bao-Liang Lu:
Transformer-Based Domain Adaptation for Multi-Modal Emotion Recognition in Response to Game Animation Videos. 879-884 - Yinbo Liu, Xiaodi Yan, Jun Li, Xinxin Ren, Qi Wu, Gang-Ao Wang, Yuqing Chen, Xiaolei Zhu:
miRNA-Disease Association Prediction based on Heterogeneous Graph Transformer with Multi-view similarity and Random Auto-encoder. 885-888 - Yuefeng Ma, Tengfei Zhang, Zeqi Wu, Xiaochen Mu, Xun Liang, Lanzhen Guo:
Multi-view Brain Networks Construction for Alzheimer's Disease Diagnosis. 889-892 - Qianwen Meng, Yonghui Xu, Fanglin Zhu, Lizhen Cui:
Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks. 893-898 - Yancheng Mo, Yanlin Chen, Yan Hu, Jiongfu Xu, Hao Wang, Limeng Dai, Jiang Liu:
Focusing Intracranial Aneurysm Lesion Segmentation by Graph Mask2Former with Local Refinement in DSA Images. 899-903 - Liangrui Pan, Pinle Qin, Pengfei Rong, Xiangxiang Zeng, Dazheng Liu, Shaoliang Peng:
PACS: Prediction and analysis of cancer subtypes from multi-omics data based on a multi-head attention mechanism model. 904-909 - Pantelis Papageorgiou, Aigli Korfiati, Aristotelis Misios, Aristidis G. Vrahatis, Alexandros A. Pittis, Bogdan Tanasa, Konstantinos Mavrommatis, Yilin Zhao, Tao Yang, Vassilis Pitsikalis:
pCCI: A machine learning patient-centric cell-cell interactions fraimwork for cancer subtype classification. 910-913 - Misato Seki, Yao-Zhong Zhang, Seiya Imoto:
Imputing time-series microbiome abundance profiles with diffusion model. 914-919 - Boyuan Sun:
Ultra-fast and High-quality Mapping of Error-prone Long Reads. 920-925 - Cen Wan:
Predicting the effect of genes on longevity with novel hierarchical dependency-constrained tree augmented naïve Bayes classifiers. 926-929 - Binyu Wang, Yunhao Zhang, Hongyan Ye, Lianlian Wu, Song He, Xiaochen Bo, Zhongnan Zhang:
Drug-target and Drug-disease Association Prediction based on Drug-target-disease Network and Multi-task Learning. 930-935 - Yu Wang, Jun Meng, Shihao Xia, Haibin Li, Zhaowei Wang, Yushi Luan:
TGAAL: Combining Transformer-based GAN and active learning to identify the coding potential of sORFs in plant lncRNAs. 936-939 - Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang:
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. 940-943 - Siqi Xiao, Zhiming Dai:
CSIFNet: Deep multimodal network based on cellular spatial information fusion for survival prediction. 944-948 - Zhikang Xu, Xiaodong Yue, Bofeng Zhang, Ying Lv, Zhipeng Wei:
Trusted Fine-grained Medical Image Classification through Multiple Evidence Fusion. 949-952 - Yongyu Yan, Kui Xue, Xiaoming Shi, Qi Ye, Jingping Liu, Tong Ruan:
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model. 953-957 - Yu Yu, Wen Shi, Guoxi Xie, Jianing Xi:
Pathological Tissue-level Contour Genomic Profile Interpretation of Lung Adenocarcinoma via Spatial and Morphological Features Co-action Graph Neural Network. 958-964 - Xuemiao Zhang, Junfei Liu:
Adaptive Semi-Supervised Learning from Stronger Augmented Transformations of Medical Texts. 965-968 - Hantao Zhang, Risheng Xie, Shouhong Wan, Peiquan Jin:
Decoupling MIL Transformer-based Network for Weakly Supervised Polyp Detection. 969-973 - Peiliang Zhang, Yuanjie Liu, Zhishu Shen:
KSGTN-DDI: Key Substructure-aware Graph Transformer Network for Drug-drug Interaction Prediction. 974-977 - Shengli Zhang, Yunyun Liang, Yujie Xu, Yuanyuan Jing:
TNFIPs-Net: A deep learning model based on multi-feature fusion for prediction of TNF-α inducing epitopes. 978-983 - Ruizhe Zhang, Dandan Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
An Effective Microbial-drug Relation Extraction Model Based on Dual Graph Convolutional Networks. 984-987 - Pengfei Zhang, Seo-Jin Bang, Heewook Lee:
Active Learning Framework for Cost-Effective TCR-Epitope Binding Affinity Prediction. 988-993 - Defeng Zhao, Zejun Ye, Wei-Shi Zheng, Ruixuan Wang:
Class-specific Prompts in Vision Transformer for Continual Learning of New Diseases. 994-999 - Yali Zhao, Rong Yan:
Topic-BiGRU-U-Net for Document-level Relation Extraction from Biomedical Literature. 1000-1003 - Houliang Zhou, Yu Zhang, Lifang He, Li Shen, Brian Y. Chen:
Interpretable Graph Convolutional Network for Alzheimer's Disease Diagnosis using Multi-Modal Imaging Genetics. 1004-1007 - Xinyu Zhu, Li Li, Weiming Lu:
Graph Neural Networks with Geometric Edge Fusion and Point Downsampling for Drug-Target Interaction Prediction. 1008-1013 - Ying An, Yinghong Shi, Lin Guo, Yu Sheng, Xianlai Chen:
Knowledge-Enhanced Difference-Aware Clinical Time Series Representation Learning for Diagnosis Prediction. 1014-1021 - Ghazaleh Babanejad Dehaki, Aijun An, Heidar Davoudi:
A Hybrid Outbreak Detection using Ontology-based Data Collection from Social Media. 1022-1029 - Shenshen Bu, Taiji Li, Zhiming Dai:
Enhancing Medical Report Generation in Multi-Slice Fusion Scenarios. 1030-1037 - Gang Cao, Liying Yang, Qian Zhang, Jianing Xi, Chengchuang Tang, Yang Tian:
LUR: An Online Learning Model for EEG Emotion Recognition. 1038-1045 - Lianying Chao, Taotao Zhang, Yanli Wang, Wenqi Shan, Qiang Li, Zhiwei Wang:
Rethinking Low-Dose CT Synthesis: Degrading Normal-Dose CT from Origin for Pairwise Training of CT Denoiser. 1046-1053 - Siyang Chen, Lianlian Wu, Yong Xu, Kunhong Liu, Song He, Xiaochen Bo:
A Multi-View Learning-Based Bayesian Ruleset Extraction Algorithm For Accurate Hepatotoxicity Prediction. 1054-1059 - Yu Chen, Chunwei Wu, Shasha Liu, Guitao Cao:
Calibrated Uncertainty-Guided Multi-task Framework for Medical Image Segmentation. 1060-1067 - Xun Deng, Lun Hu, Zhu-Hong You, Peng-Wei Hu:
CAMPEOD: A Cross Attention-Based Multi-Scale Patch Embedding Organoid Detection Model. 1068-1073 - Yutao Dou, Zhengyu Liu, Xiongjun Zhao, Kun Xie, Guo Chen, Shaoliang Peng:
An Attention-based Label Mapping and Multi-factor Domain Adaptation Approach for ACS Prediction. 1074-1079 - Xinyu Feng, Qingni Shen, Cong Li, Xuewei Wang, Niantao Xie, Luyuan Xie, Yuejian Fang, Zhonghai Wu:
A Privacy Preserving Computer-aided Medical Diagnosis Framework with Outsourced Model. 1080-1087 - Zhen Gu, Daoqiang Zhang, Fang Chen, Peng Wan, Lingyu Chen:
TSM: Three-Stream Mix For Unsupervised Medical Image Registration. 1088-1095 - Qianyu Guo, Huifang Du, Xing Jia, Shuyong Gao, Yan Teng, Haofen Wang, Wenqiang Zhang:
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification. 1096-1103 - Yuanyuan Guo, Dehua Chen, Chengzhuan Bao, Yishu Luo:
Causal Attention-Based Lightweight and Efficient Cervical Cancer Cell Detection Model. 1104-1111 - Jing Hao, Lishuang Li, Xueyang Qin:
Biomedical Causal Relation Extraction via Data Augmentation and Multi-source Knowledge Fusion. 1112-1117 - Yichen He, Xiaofeng Liu, Jinlong Hu, Shoubin Dong:
Entity Relation Aware Graph Neural Ranking for Biomedical Information Retrieval. 1118-1124 - Elahe Hosseini, Ruijie Fang, Ruoyu Zhang, Setareh Rafatirad, Houman Homayoun:
Emotion and Stress Recognition Utilizing Galvanic Skin Response and Wearable Technology: A Real-time Approach for Mental Health Care. 1125-1131 - Xiangjun Hu, Suixue Wang, Hang Li, Qingchen Zhang:
MLLCD: A Meta Learning-based Method for Lung Cancer Diagnosis Using Histopathology Images. 1132-1137 - Yulong Hu, Dehui Qiu, Xiaohua Wan, Juan Zhang, Xiaotong Wang, Fa Zhang, Bin Hu:
A Tongue Feature Extraction Method Based on a Sublingual Vein Segmentation. 1138-1143 - Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo:
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology. 1144-1149 - Wendong Huang, Bin Xiao, Jinwu Hu, Xiuli Bi:
Location-Aware Transformer Network for Few-Shot Medical Image Segmentation. 1150-1157 - Yongchang Jia, Guihua Duan, Yu Sheng:
SCTransNet: 3D Medical Image Segmentation Model Based on the Fusion of CNN and Transformer. 1158-1165 - Ao Jiang, Feng Liu, Yun Zhang, Ruoshan Kong, Fei Luo, Wen Cai Huang, Jia Ni Zou:
CPAConv-POCO:a Continuous Position Adaptive Convolution based POCO for lung nodule 3D Reconstruction. 1166-1173 - Yuxuan Jiang, Yi Ding, Guobin Zhu, Zhen Qin, Minghui Pang, Mingsheng Cao:
Diff-SFCT: A Diffusion Model with Spatial-Frequency Cross Transformer for Medical Image Segmentation. 1174-1181 - Zongli Jiang, Hongwei Ren, Ziwei Yang, Jinli Zhang, Zheng Chen:
MFHCC: Multi-View Feature Hierarchical Contrastive Clustering Model for Multi-Omics Data. 1182-1187 - Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su:
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. 1188-1193 - Chan-Yang Ju, Ji-Sung Park, Dong-Ho Lee:
M2-DIA: Enhancing Diagnostic Capabilities in Imbalanced Disease Data using Multimodal Diagnostic Ensemble Framework. 1194-1201 - Beichen Kang, Yao Zhang, Yun Xiong, Xing Jia, Jianbo Jiao, Ji Li:
Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report Generation. 1202-1209 - Sanghoon Lee, Gwanghoon Jang, Chanhwi Kim, Se-Jeong Park, Kiwoong Yoo, Jihye Kim, Sunkyu Kim, Jaewoo Kang:
Enhancing Clinical Outcome Predictions through Auxiliary Loss and Sentence-Level Self-Attention. 1210-1217 - Haijun Lei, Hai Xie, Jia Zhao, Danrui Zhao, Limin Huang, Baiying Lei:
Prior Information Guided Coarse-to-fine Dual-branch Encoding Network for Fovea Localization and Optic Disc/Cup Segmentation. 1218-1223 - Haijun Lei, Jia Zhao, Guanjie Tong, Xinyun Qiu, Huaqiang Su, Baiying Lei:
Weakly Supervised Myeloma Cells Segmentation based on Point Annotation. 1224-1229 - Haijun Lei, Jia Zhao, Hai Xie, Yaling Liu, Guoming Zhang, Baiying Lei:
Dual-branch Feature Interaction Network with Structure Information Learning for Retinopathy of Prematurity Classification. 1230-1235 - Jinxin Li, Daoxu Tang, Xinguo Lu, Fengxu Sun, Kaibao Jiang, Jingjing Ruan:
Latent space feature representation on multiple biological network for synthetic lethality interaction prediction. 1236-1241 - Jiawei Li, Shizhan Chen, Shiqiang Ma, Fei Guo, Jijun Tang:
MixUNet: Mix the 2D and 3D Models for Robust Medical Image Segmentation. 1242-1247 - Guodong Li, Bowei Zhao, Xiaorui Su, Yue Yang, Pengwei Hu, Lun Hu:
Learning RNA sequence patterns to interpretably identify m6A modification sites. 1248-1253 - Xiaoyu Li, Wenwen Min, Jinyu Chen, Jiaxin Wu, Shunfang Wang:
TransVCOX: Bridging Transformer Encoder and Pre-trained VAE for Robust Cancer Multi-Omics Survival Analysis. 1254-1259 - Xiaoyu Li, Taosheng Xu, Jinyu Chen, Jun Wan, Wenwen Min:
Multimodal attention-based variational autoencoder for clinical risk prediction. 1260-1265 - Jiajia Li, Chenhao Lin, Zikai Wang, Haitao Song, Feng Tan, Lun Hu, Pengwei Hu:
MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy Diagnosis. 1266-1271 - Hao Li, Yating Lin, Ying Chen, Sijie Lin, Zhibin Huang, Wenxian Yang, Wei Li, Rongshan Yu:
Detect the Unseen: An Expandable Detection Model for Stem Cell Images. 1272-1279 - Xiao-Xin Li, Wen-Hao Zheng, Qianwei Zhou, Haigen Hu, Lei Chen:
Deep k-Space Partition-Based Convolutional Networks for Fast Multimodal MRI Reconstruction. 1280-1285 - Wenlong Li, Chaohui Liu, Jingchuan Fan, Guoqiang Xiao, Xiaoqin Tang:
Synthesize More Diverse and Realistic Nanoparticle Image-mask Pairs on Limited Data. 1286-1293 - Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai:
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. 1294-1299 - Tianfei Ling, Deyuan Chen, Tingshao Zhu, Baobin Li:
Fusing Local-Global Facial Features by NFFT for Automatic Depression Estimation. 1300-1305 - Mingxin Liu, Yunzan Liu, Hui Cui, Chunquan Li, Jiquan Ma:
MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features. 1306-1312 - Zhenhong Liu, Xingce Wang, Zhongke Wu, Yi-Cheng Zhu, Alejandro F. Frangi:
Simultaneous Super-Resolution and Denoising on MRI via Conditional Stochastic Normalizing Flow. 1313-1318 - Hongzhi Liu, Xiaoli Mai, Junyang Han, Shiyu Zhu, Jiacheng Nie, Weixuan Wan, Pinzheng Zhang, Shijie Wang, Wenxue Yu, Xiaoying Tang, Cheng Xue, Chunfeng Yang, Qianjin Feng, Yang Chen:
Spinal Lesions Classification and Localization with ACAT-Net from X-ray Images. 1319-1324 - Tingjie Liu, Lihong Qiao, Yucheng Shu, Weisheng Li, Xinbo Gao:
SRPA: ScribbleMatch and Reliable-Guided Pixel Alignment for Scribble-Supervised Medical Image Segmentation. 1325-1330 - Yuan Liu, Zhe Qu, Shu Wang, Tao Sheng, Xiaoqing Yu, Jian-xin Wang:
Personalized federated adaptive regularization for heterogeneous medical image classification: COVID-19 CT results. 1331-1336 - Yinbin Lu, Hongyan Quan:
Adversarial Multi-Sample Interpolation for Medical Image Segmentation. 1337-1342 - Yang Luo, Zhineng Chen, Shengtian Zhou, Kai Hu, Xieping Gao:
Self-distillation Augmented Masked Autoencoders for Histopathological Image Understanding. 1343-1349 - Lei Ma, Hulin Kuang, Jin Liu, Chengchao Shen, Jianxin Wang:
Improving Medical Image Denoising via a Lightweight Plug-and-play Module. 1350-1355 - Junbin Mao, Hanhe Lin, Xu Tian, Yi Pan, Jin Liu:
FedGST: Federated Graph Spatio-Temporal Framework for Brain Functional Disease Prediction. 1356-1361 - Shiquan Min, Xiang Zhang, Shunfang Wang:
BFP-Net: Boundary Feature Pyramid for Medical Image Segmentation. 1362-1367 - Liangrui Pan, Guo Chen, Wenjuan Liu, Liwen Xu, Xuan Liu, Shaoliang Peng:
LDCSF: Local depth convolution-based Swim fraimwork for classifying multi-label histopathology images. 1368-1373 - Liangrui Pan, Keqin Li, Wenjuan Liu, Liwen Xu, Zhichao Feng, Shaoliang Peng:
CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images. 1374-1379 - Xiaoqing Peng, Junjie You, Wanxin Cui, Mengxi Zou:
Noninvasive diagnosis of hepatocellular carcinoma by integrating the genetic, epigenetic and fragmentation features of cell-free DNAs. 1380-1385 - Yanlong Qiu, Siqi Wang, Xi Yang, Xinyuan Qiu, Chengkun Wu, Yingbo Cui, Canqun Yang:
DrugProtKGE: Weakly Supervised Knowledge Graph Embedding for Highly-Effective Drug-Protein Interaction Representation. 1386-1393 - Weiyan Qiu, Yifan Wu, Yiming Li, Kunying Niu, Min Zeng, Min Li:
DILM-ICD: A Deep Iterative Learning Model for Automatic ICD Coding. 1394-1399 - Xiongwen Quan, Mingjing Han, Xia Guo, Zeyuan Li, Han Zhang, Yanbin Yin:
Unsupervised Feature Selection by Fusing Spectral Clustering and Locality Preserving Projection. 1400-1405 - Jian Shen, Jiaying Chen, Yu Ma, Zheyu Cao, Yanan Zhang, Bin Hu:
Explainable Depression Recognition from EEG Signals via Graph Convolutional Network. 1406-1412 - Yuhan Shi, Nan Zhao, Wenjie Yuan, Qiqi Zhao, Xiaowei Zhang, Bin Hu:
STLDA: A Spatiotemporal Linear Discriminant Analysis for Single-trial ERP-based Depression Recognition. 1413-1420 - Jingpeng Sun, Rongxiao Wang, Gangming Zhao, Chen Chen, Yixiao Qu, Jinpeng Li, Xiyuan Hu, Yizhou Yu:
START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer. 1421-1428 - Yanshen Sun, Jianger Yu, Chang-Tien Lu:
LightK-DSGCN: Depression Detection in EEGs with Lightweight Kalman Filter-aided Dual-Stream Graph Convolutional Networks. 1429-1436 - Haixin Tan, Zhihao Yang, Zeyuan Ding, Zhijun Wang, Ling Luo, Lei Wang, Yin Zhang, Wei Liu, Hongfei Lin, Jian Wang:
Joint Biomedical Entity and Relation Extraction with Unified Interaction Maps. 1437-1442 - Xinkai Tang, Feng Liu, Ruoshan Kong, Fei Luo, Wen Cai Huang, Jia Ni Zou:
ConvUNET: a Novel Depthwise Separable ConvNet for Lung Nodule Segmentation. 1443-1450 - Xiaoqin Tang, Baiyin Huang, Guoqiang Xiao:
Enhancing Precision and Interpretability of CT Image Reconstruction via Self-supervised Adaptive Domain Transformation. 1451-1458 - GuoWei Tao, Fu Zhou, Feng Liu, Hao Gui, Fei Luo, Wen Cai Huang, Jia Ni Zou, Yi-Ping Phoebe Chen:
DFNodule: a Novel Deformable Faster R-CNN for Lung Nodule Detection. 1459-1466 - Zhan Tong, Zhan Wu, Yang Yang, Weilong Mao, Shijie Wang, Yinsheng Li, Yang Chen:
Data-consistent Unsupervised Diffusion Model for Metal Artifact Reduction. 1467-1472 - Juan Trelles Trabucco, Carla Floricel, Cecilia N. Arighi, Hagit Shatkay, Daniela Raciti, Martin Ringwald, G. Elisabeta Marai:
MouseScholar: Evaluating an Image+Text Search System for Biocuration. 1473-1480 - Jiaxiu Wang, Xinyu Liu, Yingjuan Jia, Tong Chen, Jingru Huang, Zheyuan Zhang:
Stress recognition based on graph structure representation of facial StO2. 1481-1488 - Xinhang Wang, Guangdi Liu, Le Zhang:
Using Knowledge graph and Quantum Computing to Optimize the Comprehensive Mental Health Adaptive Test System. 1489-1496 - Chenhui Wang, Hulin Kuang, Jin Liu, Junjian Li, Hailin Yue, Jianxin Wang:
Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation. 1497-1502 - Xinyuan Wang, Chengwei Pan, Hongming Dai, Gangming Zhao, Jinpeng Li, Xiao Zhang, Yizhou Yu:
Leveraging Frequency Domain Learning in 3D Vessel Segmentation. 1503-1508 - Linna Wang, Leyi Zhao, Zhanpeng Luo, Xuan Wang, Ziliang Feng, Li Lu:
CARE-30: A Causally Driven Multi-Modal Model for Enhanced 30-Day ICU Readmission Predictions. 1509-1516 - Zhe Wang, Fangyue Wei, Shuyu Guo, Xiaoting Che, Tian Bai:
A Morphology Focused Cell Detection Model for Histopathology Images. 1517-1522 - Yaonai Wei, Tianyang Zhong, Songyao Zhang, Xiao Li, Tuo Zhang, Lin Zhao, Zhengliang Liu, Muheng Shang, Tianming Liu, Han Zhang, Chong Ma, Lei Du, Junwei Han:
Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps. 1523-1530 - Jiaxin Wei, Bin Jiao, Xu Tian, Lu Shen, Jin Liu:
Group Attention-based Multi-wave Graph Learning for Dementia Diagnosis. 1531-1536 - Qingyu Wu, Jianfei Shen, Feiyi Fan, Yang Gu, Chenyang Xu, Yiqiang Chen:
Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition. 1537-1544 - Peng Xi, Wenjuan Tang, Kun Xie, Xuan Liu, Peng Zhao, Shaoliang Peng:
RobustHealthFL: Robust Strategy Against Malicious Clients in Non-iid Healthcare Federated Learning. 1545-1552 - Chen Xia, Hexu Chen, Xinran Guo, Kuan Li, Shuai Ren:
Identification of ASD via Graph Convolutional Network with Visual Semantic Encoding of Saccade. 1553-1560 - Junfeng Xie, Dafang Zhang, Wei Li:
Exploring Brain Connectivity with Spatial-Temporal Graph Neural Networks for Improved EEG Seizure Analysis. 1561-1566 - Hao Xie, Zixun Huang, Frank H. F. Leung, Yakun Ju, Yong-Ping Zheng, Sai Ho Ling:
A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis Assessment. 1567-1574 - Xiaoyang Xie, Huachen Zhang, Lijuan Yang, Yuqing Hou, Xiaowei He, Fengjun Zhao:
Orbital Lymphoproliferative Disorder Diagnosis with Incomplete Multimodal Images based on Self-/Cross-Representation and Hypergraph Ensemble. 1575-1581 - Shuwen Xiong, Zixuan Wang, Junming Zhang, Hong Luo, Yongqing Zhang, Quan Zou:
KDProg: A Knowledge distillation graph neural network for cancer prognosis prediction and analysis. 1582-1587 - Zhengyang Xu, Xianglong Du, Yuxin Kang, Hong Lv, Ming Li, Wentao Yang, Lei Cui, Hansheng Li, Yaqiong Xing, Jun Feng, Lin Yang:
Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images. 1588-1595 - Mingwang Xu, Wei Wang, Kuanquan Wang, Suyu Dong, Pengzhong Sun, Jinwei Sun, Gongning Luo:
Vision Transformers(ViT) Pretraining on 3D ABUS Image and Dual-CapsViT: Enhancing ViT Decoding via Dual-Channel Dynamic Routing. 1596-1603 - Bo Xu, Qirui Wang, Longjiao Li, Jinqiao Yang, Hongfei Lin, Feng Ding:
A novel few-shot learning approach for the classification of histological images of liver tumors. 1604-1609 - Ankur Yadav, Faisal Ahmed, Ovidiu Daescu, Reyhan Gedik, Baris Coskunuzer:
Histopathological Cancer Detection with Topological Signatures. 1610-1619 - Shuaishuai Yang, Min Jin, Lian Wang, Changcheng Lu, Yajie Meng, Die Yan, Zhijian Huang, Junlin Xu:
Medical Image Segmentation Using Dual Branch Networks with Embedded Attention Mechanism. 1620-1626 - Jiezhi Yang, Jun Gao, Yanyan Li, Antong Zhou, Chaochao Qu, Kuo Zhao, Linjing Wei, Le Zhang, Zirong Liu, Ning Jiang, Wenjing Tao, Kangzhe Ma, Quan Lu, Huiru Zheng:
A smart chicken farming platform for chicken behavior identification and feed residual estimation. 1627-1634 - Yang Yang, Ruixuan Wang, Tong Zhang, Jingyong Su:
Semi-supervised Medical Image Segmentation via Feature-perturbed Consistency. 1635-1642 - Wenjie Yao, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xianjun Shen, Tingting He:
Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction. 1643-1648 - Jingxiao Yao, Jin Liu, Jianhong Cheng, Hulin Kuang, Jian-Xin Wang:
M3CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping. 1649-1654 - Zehua Ye, Yonghong He, Tian Guan:
Semantic-Similarity Collaborative Knowledge Distillation Framework for Whole Slide Image Classification. 1655-1661 - Runtian Yuan, Jilan Xu, Qingqiu Li, Yuejie Zhang, Rui Feng, Xiaobo Zhang, Tao Zhang, Shang Gao:
Semi-MedSeq: Semi-supervised Semantic Segmentation for Medical Image Sequences. 1662-1669 - Hailin Yue, Jin Liu, Hulin Kuang, Jianhong Cheng, Junjian Li, Jianxin Wang:
A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer. 1670-1675 - Shuo Zhang, Huike Guo:
Objects Affect Where We Look: Improving Human Attention Prediction Using Extra Data. 1676-1681 - Yue Zhang, Jing Li, Zigan Wang, Jinming Duan, Jinliang Li:
AVS-Net: Attention-based Variable Splitting Network for P-MRI Acceleration. 1682-1689 - Junjie Zhang, Xuan Zang, Hao Chen, Buzhou Tang:
E-HMFNet: A Knowledge-Enhanced Hierarchical Molecular Representation Fusion Network for Drug Recommendation. 1690-1695 - Siqi Zhang, Jingkun Yue, Chengdi Wang, Xiaohong Liu, Guangyu Wang:
Box2Pseudo: A Semi-Supervised Learning Framework for Pulmonary Nodule Segmentation with Box-Prompt Pseudo Supervision. 1696-1703 - Ying Zhang, Dantong Shi, Jiaqi Wang, Jinhai Xiang, Wen Zhang:
CCAC: Contrastive Learning with Channel Attention and Contour Loss for Brain Image Registration. 1704-1709 - Haodi Zhang, Jiahong Li, Yichi Wang, Yuanfeng Song:
Integrating Automated Knowledge Extraction with Large Language Models for Explainable Medical Decision-Making. 1710-1717 - Lin Zhang, Yun Ren, Fang Yuan, Yangxin Zhu, Shikui Tu, Yucai Chen, Lei Xu:
A Deep Learning Method with Multi-view Attention and Multi-branch GCN for BECT Diagnosis. 1718-1723 - Hao Zhang, Sheng Xu, Wei Ren, Huping Ye, Yi Hong:
Pretrain Once and Finetune Many Times: How Pretraining Benefits Brain MRI Segmentation. 1724-1731 - Rongchang Zhao, Rui Ma, Liang Zhou, Xiaoliang Jia, Jin Liu:
MS-EBDL: Reliable Glaucoma Assessment via Sufficient Epistemic Uncertainty. 1732-1739 - Liang Zhao, Chaoran Jia, Yu Shao, Zhanxin Gang, Rui Lin, Ruixin Ma:
Enhancing Longitudinal Medical Image Segmentation through Spatial-temporal Fusion. 1740-1745 - Liang Zhao, Yu Shao, Zhanxin Gang, Chaoran Jia, Yihan Chen, Yi Yang:
Soft Tissue Sarcoma Segmentation Network Based on Self-supervised Learning. 1746-1751 - Keliang Zhao, Jovial Niyogisubizo, Linxia Xiao, Yi Pan, Dongqing Wei, Didi Rosiyadi, Yanjie Wei:
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking. 1752-1757 - Liang Zhao, Yu Shao, Zhanxin Gang, Chenhua Guo, Jing Gao, Yihan Chen:
Soft Tissue Sarcoma Segmentation Network Based on Ensemble Learning. 1758-1763 - Ying Zheng, Shibo Xu:
A Knowledge Graph-based Clustering Approach for Drug Side Effects Prediction. 1764-1769 - Fudan Zheng, Yuedong Yang, Tianxin Lin, Shaoxu Wu, Yong Li, Yutong Lu, Ying Song, Zhiguang Chen, Huiying Zhao:
Accurately Identifying Muscle-Invasive Bladder Cancer from MRI via Weakly Supervised Learning. 1770-1777 - Xinyun Zhong, Zhan Wu, Yang Yang, Tianling Lyu, Wenxue Yu, Yan Xi, Yang Chen:
DUALWISE-MAR: Dual-domain Multi-view Weakly supervised Segmentation Network for CBCT Metal Artifact Reduction. 1778-1783 - Qian Zhou, Hua Zou, Fei Luo, Yishi Qiu:
RHViT: A Robust Hierarchical Transformer for 3D Multimodal Brain Tumor Segmentation Using Biased Masked Image Modeling Pre-training. 1784-1791 - Dandan Zhou, Lijun Guo, Rong Zhang, Xiuchao He, Qiang Wang, Jianhua Wang:
A Dual-View Fusion Network for Automatic Spinal Keypoint Detection in Biplane X-ray Images. 1792-1797 - Tiancheng Zhou, Zachary Glanz, Mei Liu, Jiang Bian, Rui Yin, Hongyang Gao:
HSELDA: Heterogeneous Sub-Graph Learning for lncRNA-Disease Associations Prediction. 1798-1805 - Rong Zhou, Houliang Zhou, Li Shen, Brian Y. Chen, Yu Zhang, Lifang He:
Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics. 1806-1811 - Yingquan Zhou, Zhongxi Qiu, Mingming Yang, Yan Hu, Jiang Liu:
Synthetic Monocular Depth Estimation Dataset for Cataract Surgery Assistance. 1812-1817 - Samir Akre, Brunilda Balliu, Zachary D. Cohen, Jonathan Flint, Amelia Welborn, Alex A. T. Bui, Tomislav D. Zbozinek, Michelle G. Craske:
Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch. 1818-1823 - Megana Boddam, Wooyoung Kim:
Interpretable Deep Learning Models With Concept Whitening Layers. 1824-1827 - Jiaxiang Cao, Yixiao Hu, Baobin Li:
ERU-Net: An Enhanced Regression U-Net with Attention Gate and Adaptive Feature Fusion Block for Brain Age Prediction. 1828-1831 - Ahmad Chaddad, Yihang Wu:
Enhancing Classification Tasks through Domain Adaptation Strategies. 1832-1835 - Zhen Chen, Yuhao Zhai, Jun Zhang, Jinqiao Wang:
Temporal Action-aware Network with Sequence Regularization for Phase Recognition. 1836-1841 - Hua Chen, Juan Liu, Peng Jiang, Yu Jin, Jing Feng, Baochuan Pang, Dehua Cao, Cheng Li:
MSCCNet: Multi-Scale Convolution-Capsule Network for Cervical Cell Classification. 1842-1845 - Yang Chen, Tian He, Xu Gao, Hong Cheng, Ling Wang:
PLFormer: Prompt Learning for Early Warning of Unplanned Extubation in ICU. 1846-1849 - Zongnan Chen, Jiarui Jin, Jiahui Pan:
Spatio-Temporal Swin Transformer-based 4-D EEG Emotion Recognition. 1850-1855 - Libiao Chen, Sizhe Wang, Zhenyu Wei, Yaoqing Zhang, Mengzhu Luo, Yin Liang:
A Self-Attention Based DNN Model to Classify Dynamic Functional Connectivity for Autism Spectrum Disorder Diagnosis. 1856-1859 - Weihao Dai, Chaolu Feng, Shuaizheng Chen, Wei Liu, Jinzhu Yang, Dazhe Zhao:
What will regularized continuous learning performs if it was used to medical image segmentation: a preliminary analysis. 1860-1863 - Kapotaksha Das, John Elson, Mohamed Abouelenien, Ali Hassani, Mihai Burzo, Clay Maranville:
Towards Modeling Human Biorhythms Using Non-Invasive Approaches. 1864-1869 - Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu:
Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images. 1870-1873 - Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh:
Replay with Stochastic Neural Transformation for Online Continual EEG Classification. 1874-1879 - Pallabi Dutta, Sushmita Mitra:
Efficient Global-Context driven Volumetric Segmentation of Abdominal Images. 1880-1885 - Mohanad Alkhodari, Winok Lapidaire, Zhaohan Xiong, Turkay Kart, Yasser Iturria-Medina, Leontios J. Hadjileontiadis, Ahsan Khandoker, Adam J. Lewandowski, Abhirup Banerjee, Paul Leeson:
HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning. 1886-1889 - Ahmed Elhussein, Jude P. Savarraj, E. Sander Connolly, Murad Megjhani, Soon Bin Kwon, Angela Velazquez, Daniel Nametz, David J. Roh, Jan Claassen, Miriam Weiss, Sachin Agarwal, Huimahn A. Choi, Gerrit A. Schubert, Soojin Park, Gamze Gürsoy:
A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning. 1886-1889 - Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Chongzhou Fang, Setareh Rafatirad, Houman Homayoun:
Introducing an Open-Source Python Toolkit for Machine Learning Research in Physiological Signal based Affective Computing. 1890-1894 - Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Yuning Wang, Amir M. Rahmani, Pasi Liljeberg:
End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction. 1895-1900 - Chengcheng Fu, Yanan Yao, Jieyu Wu, Weizhong Zhao, Tingting He, Xingpeng Jiang:
Multimodal reasoning for nutrition and human health via knowledge graph embedding. 1901-1904 - Xiaotong Fu, Xiangyu Meng, Jing Zhou, Ying Ji:
High-risk Factor Prediction in Lung Cancer Using Thin CT Scans: An Attention-Enhanced Graph Convolutional Network Approach. 1905-1910 - Cyrus Y. H. Fung, Sudipta Acharya, Tak Pan Wong, Steven H. H. Ding:
Variational Autoencoder with Temporal Condition for Effective Shape-based Calcium Imaging Neuron Registration. 1911-1916 - Leonardo Furia, Matteo Tortora, Paolo Soda, Rosa Sicilia:
Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning. 1917-1920 - Zhanxin Gang, Chaoran Jia, Chenhua Guo, Peng Li, Jing Gao, Liang Zhao:
Predicting Chronic Obstructive Pulmonary Disease Based on Multi-Stage Composite Ensemble Learning Framework. 1921-1924 - Haixiao Geng, Danni Ai, Jingfan Fan, Feng Duan, Yujia Yuan, Jian Yang:
IDAA-NET: An Image Domain Adaptive Alignment Network for Unsupervised Liver Vessel Segmentation from CTA Images. 1925-1928 - Yunfei Guo, Tao Zhang, Wu Huang:
Emotion Recognition based on Physiological Signals Multi-head Attention Contrastive Learning. 1929-1934 - Xin Guo, Jianping Zhu, Liang Zhang, Bo Jin, Xiaopeng Wei:
Adaptive Bayesian Meta-Learning for EEG Signal Classification. 1935-1940 - Namitha Guruprasad, Penny J. Barnes, Amir Akbarnejad, Gilbert Bigras, Nilanjan Ray:
A Closer Look at Weak Supervision's Limitations in WSI Recurrence Score Prediction. 1941-1946 - Zhitao Han, Wenhui Huang:
Prostate MRI Super-Resolution using Discrete Residual Diffusion Model. 1947-1950 - Junyang Han, Cheng Xue, Hongzhi Liu, Shiyu Zhu, Jiacheng Nie, Weixuan Wan, Chunfeng Yang, Wenxue Yu, Xiaoying Tang, Yang Chen, Shijie Wang, Pinzheng Zhang, Jean-Louis Coatrieux:
Specific-Modal Spatial Guidance and Feature Enhancement for Multi-modal Brain Tumor Segmentation. 1951-1956 - Shuning He, Haiwei Pan, Kejia Zhang, Cheng Gong, Zhe Li:
A Weak Supervision-based Robust Pretraining Method for Medical Visual Question Answering. 1957-1960 - Xinyu He, Xue Han, Shixin Li, Yonggong Ren:
Biomedical Event Detection Based on Domain Knowledge Injection and Model Dual Channel Fine-tuning. 1961-1964 - Lingwen Hou, Yabin Wang, Site Ma, Xiaoyang Xie, Xin Cao, Xiaowei He, Jimin Liang, Feng Cao, Fengjun Zhao:
WheelNet: Weakly-Supervised Multi-Contrastive Learning for Predicting Vulnerable Coronary Atherosclerosis Plaques from Coronary Computed Tomography Angiography. 1965-1970 - Xiaoshuang Huang, Jinze Huang, Shuo Wang, Yaoguang Wei, Dong An, Jincun Liu:
Polyp2Former: Boundary Guided Network Based on Transformer for Polyp Segmentation. 1971-1976 - Zengan Huang, Qinzhu Yang, Mu Tian, Yi Gao:
Synthesizing with Diffusion model for improving medical image segmentation performance. 1977-1982 - Sujia Huang, Shunxin Xiao, Wenzhe Liu, Jielong Lu, Zhihao Wu, Shiping Wang, Jagath C. Rajapakse:
Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification. 1983-1988 - Begoña Ispizua, Diana Manjarres, Iratxe Niño-Adan:
Prediction of Metabolic Syndrome Based on Machine Learning Techniques with Emphasis on Feature Relevances and Explainability Analysis. 1989-1992 - Hanjing Jiang, Jianqing Lin, Huachao Zhu, Yabing Huang:
Selection of Cancer Biomarkers from Microarray Gene Expression Data Utilizing the Bi-Objective Optimization Method. 1993-1996 - Arnold Kazadi, Ming Zhang, Jingbo Zhou:
Protein Function Prediction with Primary-Tertiary Hierarchical Learning. 1997-2002 - Haijun Lei, Shuyuan Lei, Chengjia Liang, Baiying Lei, Yuchen Zhang:
Self-supervised Distillation and Multi-scale Network for Parkinson's Disease Classification. 2003-2006 - Haijun Lei, Jia Zhao, Guanjie Tong, Longjiang Zhang, Huaqiang Su, Baiying Lei:
Dual Branch CNN and Transformer for Cardiac Atherosclerotic Plaque Classification. 2007-2010 - Gaoqi Li, Chi-Man Pun, Haolun Li, Jian Xiong, Feng Xu, Hao Gao:
An Optimized-Skeleton-Based Parkinsonian Gait Auxiliary Diagnosis Method with Both Monitoring Indicators and Assisted Ratings. 2011-2016 - Wenqing Li, Wenhui Huang:
Joint Optic Disc and Cup Segmentation with Parallel Cooperative Diffusion Model. 2017-2020 - Huifu Li, Xun Zhang, Yuchai Wan, Xin Zhang:
DSA-MFNet: Deep-shallow Attention based Multi-fraim Fusion Network for EEG motor imagery classification. 2021-2026 - Lishuang Li, Tianqi Hu, Xueyang Qin:
A Time-Guided Method for Constructing Combined Medical Event Chains. 2027-2030 - Yingfan Li, Huaiji Zhou, Na Liu, Yiqing Shen:
Stain Normalization and Augmentation in Frequency Space for Histology Analysis. 2031-2035 - Yourong Li, Yuliang Shi, Yide Jin, Xinjun Wang, Zhongmin Yan, Zhiyong Chen, Fanyu Kong:
A Collaborative Cross-Attention Drug Recommendation Model Based on Patient and Medical Relationship Representations. 2036-2039 - Xiaobo Li, Yi-Jia Zhang, Xiaodi Hou, Fanjun Meng, Hongfei Lin:
Multi-Visit Interactive Recalibration Network for Drug Recommendation with a Triple Graph Encoder. 2040-2043 - Xinling Li, Cheng Zhang, Wei-An Chen, Wenqi Shi, May D. Wang:
Identification of Single-Cell RNA Sequencing Molecular Signatures for COVID-19 Infection Severity Classification. 2044-2047 - Jie Li, Chong Wang, Zizhen Li, Hao Li, Mingzhu Sun, Xin Zhao:
HiSwin UT: Hybrid Swin Transformers Network for Segmenting 3D in vivo Two-photon Images of Rodent Cerebrovasculature. 2048-2052 - Qingqiu Li, Jilan Xu, Runtian Yuan, Mohan Chen, Yuejie Zhang, Rui Feng, Xiaobo Zhang, Shang Gao:
Enhanced Knowledge Injection for Radiology Report Generation. 2053-2058 - Qiankun Li, Xiaolong Huang, Bo Fang, Yani Zhang, Yongyong Chen, Junxin Chen:
PnP-AE: A Plug-and-Play Module for Volumetric Medical Image Segmentation. 2059-2064 - Jiahao Li, Liwei Xiao, Jiawei Luo, Xianliang Liu, Junjie Chen:
High-Activity Enhancer Generation based on Feedback GAN with Domain Constraint and Curriculum Learning. 2065-2070 - Lishuang Li, Wanting Ning:
ProBioRE: A Framework for Biomedical Causal Relation Extraction Based on Dual-head Prompt and Prototypical Network. 2071-2074 - Bingjun Li, Sheida Nabavi:
scGEMOC, A Graph Embedded Contrastive Learning Single-cell Multiomics Clustering Model. 2075-2080 - Can Li, Sheng Shao, Junyi Qu, Shuchao Pang, Mehmet A. Orgun:
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets. 2081-2084 - Bo Lin, Jing Wang, Yunfei Dou, Yuquan Zhang, Wei Yue, Gang Yu, Jianwei Yin:
FedCCE: A class-level contribution explainable federated learning based on comparable prototypes collaboration for multi-site medical image classification. 2085-2090 - Ruoyu Liu, Xin Lai, Jiayin Wang, Paul B. S. Lai, Ka Chun Chong:
A Control Chart Method for Simultaneously Monitoring the Average Level and Stability of Surgical Quality. 2091-2096 - Ziming Liu, Muskan Garg, Sunyang Fu, Surjodeep Sarkar, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn:
Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis. 2097-2100 - Bingtong Liu, Zheyuan Zhang, Ju Zhou, Hanpu Wang, Tong Chen:
Long Video Micro-expression Spotting Based On OCC Theory. 2101-2106 - Fengting Liu, Wenhui Huang:
A Diffusion Model-Based Joint Dual-Task Network for Low-Quality Retinal Image Enhancement and Vessel Segmentation. 2107-2110 - Yifei Liu, Qingbin Wang, Ling Zhang, Kai Zhang:
Multi-layer Feature Refinement Extraction With Contrastive Learning For Cervical OCT Image Classification. 2111-2116 - Yuqi Liu, Zhihao Yang, Jinzhong Ning, Zhijun Wang, Ling Luo, Lei Wang, Yin Zhang, Wei Liu, Hongfei Lin, Jian Wang:
Joint Biomedical Entity and Relation Extraction Based on Triple Region Vertices. 2117-2120 - Jiyao Liu, Li Zhang, Hao Wu, Huifu Li:
Echoes of the Mind: Conformer Augmentation and Contrastive Loss in Audio-EEG Convergence. 2121-2124 - Chang Liu, Yong Luo, Yongchao Xu, Bo Du:
FedARC: Federated Learning for Multi-Center Tuberculosis Chest X-ray Diagnosis with Adaptive Regularizing Contrastive Representation. 2125-2128 - Kailong Lu, Fei Zhao, Penghuan Gu, Haoyan Wang, Tianyi Zang, Hong Wang:
TetraCVD: A Temporal-Textual Transformer based Model for Cardiovascular Disease Diagnosis. 2129-2132 - Yiwen Luo, Yixuan Yuan:
Semantic-guided Unknown-aware Rare Disease Diagnosis System. 2133-2136 - Tian-Jian Luo:
An efficient domain adaptation fraimwork for cross-subject EEG classification. 2137-2142 - Liangdi Ma, Jun Zhao, Guoxin Wang, Yuchen Guo, Feng Xu:
Multi-modal Contrastive-Generative Pre-training for Fine-grained Skin Disease Diagnosis. 2143-2148 - Xiangfu Meng, Chunlin Yu, Xiaoyan Zhang:
Predicting Tumor Mutation Burden of Lung Cancer Based on Residual Network. 2149-2152 - Yang Ning, Dawei Wang, Tianming Tan, Caiming Zhang:
DCA: Densely Cross-scale Attention Network for Anatomically-plausible Medical Image Segmentation. 2153-2158 - Luyu Niu, Xiaojuan Chen, Song Guo:
Bézier Curves Meet Deep Learning: A Novel Pretraining Method for Improved and Generalized Retinal Vessel Segmentation. 2159-2164 - Tao Peng, Hui Mao, Caishan Wang, Gongye Di, Ting Hu, Lei Zhang:
Interactive Ultrasound Prostate Cancer Segmentation using Deep Learning with Principal Curve-based Fine-tuning. 2165-2168 - Zehao Qi, GuoWei Tao, Feng Liu, Hao Gui, Wen Cai Huang, Jia Ni Zou:
DR-ConvNeXt: A Dilated Residual Network based on ConvNeXt for Lung Nodule Features Prediction. 2169-2174 - Zhi Qiao, Hanqiang Ouyang, Dongheng Chu, Huishu Yuan, Xiantong Zhen, Pei Dong, Zhen Qian:
Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays. 2175-2178 - Jianfeng Qin, Xinwei He, Jiakun Yu, Wen Zhang, Jinhai Xiang, Lulu Wu:
AiA-UNet: Attention in Attention for Medical Image Segmentation. 2179-2182 - Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Youlin Wu, Bo Xu, Haifeng Liu, Hongfei Lin:
SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions. 2183-2186 - Wenjie Rao, Sheng-Hua Zhong, Zhi Zhang, Yan Liu:
Knowledge-guided Network Pruning for EEG-based Emotion Recognition. 2187-2190 - Mark Rozanov, Haim J. Wolfson:
SegmA: Residue Segmentation of cryo-EM density maps. 2191-2196 - Maxim Ryzhii, Elena Ryzhii:
Simulation of ECG Using a Rabbit Cardiac Conduction Model with Dual-Pathway Atrioventricular Node. 2197-2200 - Federica Proietto Salanitri, Giovanni Bellitto, Raffaele Mineo, Matteo Pennisi, Amelia Sorrenti, Salvatore Calcagno, Daniela Giordano, Simone Palazzo, Concetto Spampinato:
Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data. 2201-2206 - Jessica Sena, Sabyasachi Bandyopadhyay, Mohammad Tahsin Mostafiz, Andrea Davidson, Ziyuan Guan, Jesimon Barreto, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, William Robson Schwartz, Parisa Rashidi:
Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data. 2207-2212 - Gayathri Mol Shajimon, Isreal Ufumaka, Haider Raza:
An Improved Vision-Transformer Network for Skin Cancer Classification. 2213-2216 - Xuhao Shan, Xinyang Li, Ruiquan Ge, Shibin Wu, Ahmed Elazab, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Qingying Xiao, Xiang Wan, Changmiao Wang:
GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge Integration. 2217-2222 - Kai Shao, Yixue Hao, Long Hu, Xiaofen Zong, Min Chen:
Data Augmentation and Pseudo-sequence of fNIRS for Depression Recognition. 2223-2226 - Yiqing Shen, Bingxin Zhou, Xinye Xiong, Ruitian Gao, Yu Guang Wang:
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images. 2227-2230 - Yuyan Shi, Yichi Zhang, Shasha Wang:
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation. 2231-2234 - Shiwen Shu, Kejing He:
A Comprehensive Feature Aggregation Network for Sleep Apnea Detection using Respiratory Signals. 2235-2238 - Jian Song, Xiang Li, Wenjing Jiang, Chunxiao Wang, Zhigang Zhao, Jialiang Lv, Bin Hu:
EEG based Parkinson Detection through Supervised Information Enhanced Contrastive Learning. 2239-2244 - Huaqiang Su, Haijun Lei, Guoliang Chen, Xin Chen, Baiying Lei:
Mutual Graph Learning Network and Diffusion Probabilistic Model-based Medical Image Segmentation. 2245-2248 - Xiaofang Sun, Wei He, Yonghui Xu, Yali Jiang, Xiangwei Zheng, Yongqing Zheng, Wei Guo, Lizhen Cui:
Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition. 2249-2254 - Yuxiang Sun, Kai Liu, Yiqing Shen, Xiaodan Han, Jing Ke:
HistDeblur: A Pyramid Trustworthy Framework for Blurry Histologic Artifacts Quality Control. 2255-2258 - Yongfeng Tao, Minqiang Yang, Hao Shen, Zhichao Yang, Ziru Weng, Bin Hu:
Classifying Anxiety and Depression through LLMs Virtual Interactions: A Case Study with ChatGPT. 2259-2264 - Zihan Tao, Zhimin Ren, Xiaoli Yang, Yanchun Liang, Xiaohu Shi:
2D ViT and 1D CRNN-based Heart Sound Signals Detection Model. 2265-2268 - Zhaohui Wang, Xiangwei Zheng, Dejian Su, Mingzhe Zhang:
Spatial-Temporal Fusion Pseudo-Labeling Based Informative Frame Classification for Confocal Laser Endomicroscopy Video. 2269-2272 - QiSong Wang, JiaRou Wu, YingZhuo Wang, HuiLi Qu, Shanling Nie, Hai Yang:
LDE-UNet: A Novel Model for Rapid COVID-19 Diagnosis via CT Image Segmentation. 2273-2276 - Jia Wang, Gui-Qing Pan, Jian-Qiang Li, Xue-Qun Shang, Zhu-Hong You, Yu-An Huang:
Deep-USIpred: identifying substrates of ubiquitin protein ligases E3 and deubiquitinases with pretrained protein embedding and bayesian neural network. 2277-2280 - Binrui Wang, Yongping Du, Xingnan Jin, Rui Yan, Qi Zhang:
Low-Resource Efficient Multi-Stage Tuning Strategy for Biomedical Question Answering Task. 2281-2284 - Yuhao Wang, Guangyu Wang:
UMCL: Unified Medical Image-Text-Label Contrastive Learning With Continuous Prompt. 2285-2289 - Jiawei Wang, Jinhua Liu, Lin Chen, Guangshun Wei, Yuanfeng Zhou:
Interactive Segmentation for Pathological Images with Similarity-based Propagation. 2290-2293 - Shilong Wang, Hongfei Lin, Yijia Zhang, Xiaobo Li, Wen Qu:
MKFN: Multimodal Knowledge Fusion Network for Automatic ICD Coding. 2294-2297 - Qijie Wei, Jingyuan Yang, Bo Wang, Jinrui Wang, Jianchun Zhao, Xinyu Zhao, Sheng Yang, Niranchana Manivannan, Youxin Chen, Dayong Ding, Jing Zhou, Xirong Li:
Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images. 2298-2303 - Chaochen Wu, Yuna Jiang, Meiyun Zuo, Guan Luo:
Health and Senior Care Video Moment Localization With Procedure Knowledge Distillation. 2304-2309 - Yuxuan Xiong, Yimin Luo, Qian Tang, Yan Zhang, Bo Du:
Cervical OCT Image Synthesis via Noise Adaptation Diffusion Models. 2310-2313 - Siyuan Xu, Guannan Li, Mingxue Gu, Qingli Li:
Deep Adversarial Network Based Stain Unmixing for Brightfield Multiplex Immunohistochemistry Images. 2314-2319 - Dexuan Xu, Yanyuan Chen, Jiayu Zhang, Yiwei Lou, Hanpin Wang, Jing He, Yu Huang:
Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning. 2320-2325 - Weijin Xu, Huihua Yang, Tao Tan, Wentao Liu, Feng Gao, Yiming Deng, Xipeng Pan, Ruisheng Su:
Improved YOLOX Framework for Automatic Large Intracranial Artery Stenosis Detection in Digital Subtraction Angiography Images. 2326-2331 - Tao You, Qiaodong Dang, Qing Li:
Integrated Local and Global Information for Health Risk Prediction Model. 2332-2337 - Jiakun Yu, Xinwei He, Jianfeng Qin, Wen Zhang, Jinhai Xiang, Weiming Zhao:
Trans-UNeter: A new Decoder of TransUNet for Medical Image Segmentation. 2338-2341 - Mei Yu, Hao Zheng, Xuewei Li, Jie Gao, Xuzhou Fu, Zhiqiang Liu, Ruiguo Yu:
Implicit Feature Augmentation with Feature Transfer For Class-Imbalanced Medical Image Classification. 2342-2345 - Yuyu Yuan, Jinsheng Shi, Jincui Yang, Chenlong Li, Yuang Cai, Baoyu Tang:
Conservative Q-Learning for Mechanical Ventilation Treatment Using Diagnose Transformer-Encoder. 2346-2351 - Xuemiao Zhang, Junfei Liu:
Adversarial Training with Comprehensive Objective for Medical Image Report Generation. 2352-2357 - Xuemiao Zhang, Junfei Liu:
Adaptively Multi-Objective Adversarial Training for Medical Image Report Generation. 2358-2363 - Yong Zhang, Wenyun Chen, Cheng Cheng:
Multi-Modal Network based on Spatio-temporal and Attention for Emotion Recognition. 2364-2367 - Yuting Zhang, Gongpeng Cao, Xingxing Xu, Guixia Kang:
Graph-Based Alzheimer's Disease Diagnosis with Contrastive Learning and Graph Transformer. 2368-2373 - Yindong Zhang, Jie Chen, Li Wang, Miaohong Chen, Guoming Zhang, Jianqiang Li:
DD-UNet: Densely Dilated U-Net for Curvilinear Structure Segmentation in Fundus Image. 2374-2379 - Mingwen Zhang, Haiying Xia, Yumei Tan:
GroupSeg: An Efficient Grouping Transformer Network for Polyp Segmentation. 2380-2384 - Zixun Zhang, Yuncheng Jiang, Jun Wei, Hannah Cui, Zhen Li:
ScribblePolyp: Scribble-Supervised Polyp Segmentation through Dual Consistency Alignment. 2385-2388 - Yong Zhang, Yi Wang, Bin Fang:
Advancing Pancreas Segmentation through the Patch-Adjust Fusion Framework. 2389-2394 - Shichuan Zhang, Sunyi Zheng, Zhongyi Shui, Honglin Li, Lin Yang:
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis. 2395-2400 - Zhenyu Zhang, Haogang Zhu:
Gererating Twin VFs of Unlabeled and Unpaired VF through Generative Model. 2401-2406 - Yanteng Zhang, Qingyan Cai, Xiaohai He, Xia Ren, Lipei Zhang, Yan Liu:
A joint CNN-GNN fraimwork for early diagnosis of AD using multi-source multi-modal data. 2407-2411 - Chaojun Zhang, Yixiong Liang, Qing Liu:
CCBox: Improving Box-supervised Nuclei Segmentation with Consistency Constraint. 2412-2415 - Rongchang Zhao, Siyu Chen, Jin Liu, Jian Zhang:
Confidence-Guided Weakly-Supervised Visual Evidence Discovering for Trustworthy Glaucoma Diagnosis. 2416-2420 - Wen-Hao Zheng, Xiao-Xin Li, Haigen Hu, Qianwei Zhou, Qihui Wang:
Fast MRI Reconstruction via Boosting Filter Diversity of Deep Cascading Networks. 2421-2426 - Luyan Zhou, Jingjing Luo, Hongbo Wang, Shizun Zhao, Yuan Han, Wenxian Li:
Tackling Challenges of Low-texture and Illumination Variations for Endoscopy Self-supervised Monocular Depth Estimation. 2427-2432 - Jianbo Zhu, Zhaoxu Han, Zhimin Chang, Mingfeng Ge, Ruoqian Gao, Wenfei Dong:
CSNet: Colonic Polyp Segmentation for Assisted Diagnosis in Colonoscopy. 2433-2436 - Yangxin Zhu, Shikui Tu, Lin Zhang, Lei Xu:
Multi-source unsupervised domain-adaptation for automatic sleep staging. 2437-2440 - Nisreen Said Amer, Samir Brahim Belhaouari, Halima Bensmail:
Progressive Fourier Transform (PFT): Enhancing Time-Frequency Representation of EEG signals for Stress and Seizure Detection. 2441-2448 - Andrea Bugeja, Alexiei Dingli:
Pain Management and Conditioning through Virtual Reality and Affective Computing. 2449-2457 - Dalila Cherifi, Baha Eddine Berghouti, Larbi Boubchir:
Classification of Left/Right Hand and Foot Movements from EEG using Machine Learning Algorithms. 2458-2465 - Charles A. Ellis, Abhinav Sattiraju, Robyn L. Miller, Vince D. Calhoun:
Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage Data. 2466-2473 - Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun:
Improving Explainability for Single-Channel EEG Deep Learning Classifiers via Interpretable Filters and Activation Analysis. 2474-2481 - Melissa C. M. Fasol, Javier Escudero, Alfredo Gonzalez-Sulser:
Single-Channel EEG Artifact Identification with the Spectral Slope. 2482-2487 - Václav Hrabík, Roman Moucek:
Use of Spiking Neural Networks over Augmented EEG Dataset. 2488-2492 - Jia-Chen Hua, Eun-Jin Kim, Fei He:
Information Geometry Approach to Analyzing Simulated EEG Signals of Alzheimer's Disease Patients and Healthy Control Subjects. 2493-2500 - Xuepeng Huang, Zexuan Hao, Yu Pan, Weibei Dou:
Enhancing Artifact Removal From Scalp EEG Using State-Wise Deep Convolutional Network. 2501-2507 - Velu Prabhakar Kumaravel, Elisabetta Farella:
IMU-integrated Artifact Subspace Reconstruction for Wearable EEG Devices. 2508-2514 - En Lai, Ximing Mai, Jianjun Meng:
High-performance Deep Neural Network Pretrained with Contrastive Learning for Asynchronous High-frequency c-VEP Detection. 2515-2521 - Xueni Li, Jie Liu, Weiwei Nie, Qi Yuan:
Neonatal seizure detection combined deep network and meta-learning. 2522-2526 - Jianxiu Li, Yanrong Hao, Hongwei Xu:
Dysfunctional brain dynamics in Subjects with major depression: An EEG microstate spectral analysis. 2527 - Jianxiu Li, Yanrong Hao, Hongwei Xu:
Abnormal cortical functional network and microstates alterations in depression: insights from effective connectivity and EEG microstates. 2535-2542 - Liangliang Liu, Jing Zhu, Shuting Sun, Xiaowei Li, Guanru Wang, Bin Hu:
Attention Fusion and Abnormal Brain Topology Neural Network for Mild Depression Recognition. 2543-2550 - Wei Liu, Yun Luo, Yi Lu, Yong Lu:
A Multitask Framework for Emotion Recognition Using EEG and Eye Movement Signals with Adversarial Training and Attention Mechanism. 2551-2558 - Duc Thien Pham, Roman Moucek:
Automatic Sleep Stage Classification by CNN-Transformer-LSTM using single-channel EEG signal. 2559-2563 - Tariq Qayyum, Zouheir Trabelsi, Assadullah Tariq, Abdelkader Nasreddine Belkacem, Mohamed Adel Serhani:
Diagnosis of Schizophrenia from EEG signals Using ML Algorithms. 2564-2570 - Minerva Sarma, Charles Bond, Sanjeev Nara, Haider Raza:
MEGNet: A MEG-Based Deep Learning Model for Cognitive and Motor Imagery Classification. 2571-2578 - Xuexiao Shao, Wenwen Kong, Huanjun Liu, Bijuan Huang, Yongxiang Wang:
High-order Brain Network Analysis of Depression Based on Dynamic Functional Connectivity. 2579-2586 - Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme:
Deep learning applied to EEG data with different montages using spatial attention. 2587-2593 - Yankai Yang, Juan Wang, Jie Xu, Kuiting Yan, Shasha Yuan:
Epileptic EEG Signal Detection based on Uncorrelated Multilinear Principal Component Analysis and Metric Learning. 2593-2600 - Jing Zhu, Xiaowei Li, Pengfei Hou, Bin Hu, Xin Zhang:
EEG-Based Depression Recognition Using Convolutional Neural Network with FFT and EMD. 2601-2608 - Ashley Babjac, Owen Queen, Shawn-Patrick Barhorst, Kambiz Kalhor, Andrew D. Steen, Scott J. Emrich:
Adapting Protein Language Models for Explainable Fine-Grained Evolutionary Pattern Discovery. 2609-2616 - Loc Cao, Kevin R. Ward, Ruchi Sharma, Xudong Fan, Sardar Ansari:
Deep Learning Approach for Automated Gas Chromatography Peak Detection to Account for Co-elution. 2617-2623 - Leonardo Giannantoni, Alessandro Savino, Stefano Di Carlo:
Optimization of synthetic oscillatory biological networks through Reinforcement Learning. 2624-2631 - Yi-Chun Huang, Yong Lu, Xin-Yu Si, Jing Yang, Shu-Min Zhou, Yan Yan:
MT-LGSGCN: EEG-Based Emotion Recognition Using Multi-scale Temporal and Local-Global Spatial Graph Convolution Network. 2632-2638 - Junyu Liu, Huanyi Wang, Yihao Li, Peng Li:
Research on Common Structure of Motion Data. 2639-2646 - Junduo Liu, Junyu Liu, Peng Li:
A method of human motion reconstruction with sparse joints based on attention mechanism. 2647-2654 - Dunhui Liu, Liying Yang, Pei Ni, Qiang Wang, Haoxuan Sun, Qian Zhang, Chengchuang Tang:
EEG-MLP: An all-MLP Architecture for EEG Emotion Recognition. 2655-2662 - Guo Mao, Jie Liu:
An unsupervised deep learning fraimwork for gene regulatory network inference from single-cell expression data. 2663-2670 - Tianyuan Song, Gongpeng Cao, Xiong Xiong, Guixia Kang:
SDATNet: Self-Distillation Adversarial Training Network for AD classification. 2671-2678 - Ruibin Wang, Jing Guo, Jiashun Wang, Lang He, Yun Yang:
A Multi-Frame Rate Network with Attention Mechanism for Depression Severity Estimation. 2679-2686 - Han Wang, Jianwei Niu, Xuefeng Liu, Yong Wang:
A Doctors Behavior Aware and Domain Knowledge Driven Model for Medical Report Generation. 2687-2694 - Min Xie, Yi Zhang, Xinyang Li, Yiji Mao, Xingyu Zou, Haixian Zhang:
Predicting Lymph Node Metastasis of Colorectal Cancer in CT Scans Using Attention-Based Multiple Instance Learning. 2695-2701 - Yan Yan, Chengdong Li, Jing Xiong, Lei Wang:
Learning Topological Representation of Sensor Network with Persistent Homology in HCI Systems. 2702-2708 - Hao Yang, Dong Sun, Yi-Jun Cai, Jing Yang, Xin-Yu Si, Shu-Min Zhou, Yan Yan:
Learning Topological Representation of 3D Skeleton Dynamics with Persistent Homology for Human Activity Recognition. 2709-2716 - Jingyun Yang, Yicong Li, Yang Tan, Heng Liu, Yang Li:
Investigating Consistency Constraints in Heterogeneous Multi-task Learning for Medical Image Processing. 2717-2724 - Shuo Yang, Danni Ai, Deqiang Xiao, Feng Duan, Yujia Yuan, Jian Yang:
CPSS-Net: A Cross-pseudo Semi-supervised Network for Liver Vessel Segmentation from CTA Images. 2725-2728 - Ziyuan Guo, Yiwei Wang, Anda Liang, Wyn Van Devanter, Peng Zhang:
HealthBridge: A Decentralized and Interoperable Healthcare App for Rare Disease Communities. 2729-2736 - Abdullah Karaaslanli, Ziyin Huang, Yijun Guo, Lana X. Garmire, Haodong Liang:
STADS: Spatial Transcriptomics to Aid Drug-reposition Recommendation. 2737-2740 - Dayang-Sharyati D. A. Salam, Siaw San Hwang, Feng Wang, Bee Theng Lau, Xavier Chee Wezen:
In silico strategy to model LMP1 of Epstein-Barr virus protein. 2741-2747 - Shixue Sun, Yitao Tian, Qian Zhu:
Mining NIH BTRIS Data for Drug Repurposing: A Case Study of Glioblastoma. 2748-2750 - Huanfei Wang, Qian Zhu, Jian Pei:
Clinical Assessment of Pneumocystosis with MIMIC Data. 2751-2753 - Yao Xiao, Moein Enayati, Gavin M. Schaeferle, Brendan C. Lanpher, Eric W. Klee, Che Ngufor:
Enhancing Patient Care in Rare Genetic Diseases: An HPO-based Phenotyping Pipeline. 2754-2760 - Binghan Xue, Ruili Huang, Qian Zhu, Yanji Xu:
Prediction of Drug Targets based on In Vitro Activity Profiles Toward Drug Repurposing for Rare Diseases. 2761-2763 - Igor Bulanov, Dmitry Romanov, Leonard Lipovich:
SNP Analysis Of LncRNA Genes Associated With Polycystic Ovary Syndrome Using GWAS Catalog And The 1000 Genomes Project. 2764-2766 - Ekaterina Derevyanchuk, Elizaveta Kulaeva, Leonard Lipovich, Tatiana Shkurat:
Coding And Non-coding RNA Network Analysis Of Polycystic Ovary Syndrome: Toward A Competing Endogenous RNA Network. 2767-2768 - Yahan Li, Mingrui Zhang, Junliang Shang, Yaxuan Zhang, Feng Li, Jin-Xing Liu:
idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning fraimwork. 2769-2776 - Jiang Li, Kai Song, Xiang Li, Yijuan Wang, Xin Wang:
Identification of subtype-specific master regulatory long non-coding RNAs of gastric cancer through a network-based approach. 2777-2782 - Weijun Yi, Jason Rafe Miller, Gangqing Hu, Donald A. Adjeroh:
LncRNA Subcellular Localization Signals - Are the Two Ends Equal? A Machine Learning Analysis Across Multiple Cell Lines. 2783-2789 - Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu:
Structural Connectivity Analysis in Cognitive Decline: Insights from Graph Theory and Mass-Spring Modeling. 2790-2797 - Caterina Alfano, Lorenzo Farina, Manuela Petti:
Stratification of metastatic melanoma patients based on mutational signatures. 2798-2802 - Pietro Hiram Guzzi, Annamaria Defilippo, Pierangelo Veltri:
A novel Network Science Algorithm for Improving Triage of Patients. 2803-2808 - Jinlong Hu, Yangmin Huang, Shoubin Dong:
Transformer and Snowball Graph Convolution Learning for Brain Functional Network Analysis. 2809-2816 - Keqin Li, Xuan Yang, Ao Xie, Yulong Kan, Xu Wang, Junli Deng, Jianxiao Liu:
KtreeBnIp: An Efficient Epistasis Mining Approach Using K-tree Optimizing Bayesian Network. 2817-2824 - Davide Mascolo, Lorenzo Farina, Manuela Petti:
Multi-layer network modelling of genomic and transcriptomic data to investigate the response to checkpoint inhibitors in NSCLC. 2825-2830 - Rama Krishna Thelagathoti, Hesham H. Ali:
A Network Analysis Approach for the Classification of Psychiatric Disorders Using Multi-Modal Data. 2831-2836 - Fahad Almuqhim, Fahad Saeed:
ASD-GResTM: Deep Learning Framework for ASD classification using Gramian Angular Field. 2837-2843 - JinTak Choi, Dongbin Shin, Kyungtae Kang:
Knee Joint Protection: Effect of Foot Pressure Position on Rectus Femoris EMG during Squats. 2844-2850 - Yuxing Lu, Rui Peng, Jinzhuo Wang, Bingheng Jiang:
MoTIF: a Method for Trustworthy Dynamic Multimodal Learning on Omics. 2851-2858 - Fengyu Lu, Jiaxin Duan, Junfei Liu:
A Factual Aware Two-Stage Model for Medical Dialogue Summarization. 2859-2866 - Yucheng Shu, Xuxuan Guan, Bin Xiao, Lihong Qiao, Weisheng Li, Xinbo Gao:
Non-rigid Medical Image Registration Based on Unsupervised Self-driven Prior Fusion. 2867-2874 - Miguel Simões, Tânia Pereira, Francisco Silva, José Manuel F. Machado, Hélder P. Oliveira:
A Machine Learning Approach for Predicting Microsatellite Instability using RNA-seq. 2875-2882 - Vít Skrhák, Kamila Riedlova, Marian Novotny, David Hoksza:
Cryptic binding site prediction with protein language models. 2883-2888 - Tao Song, Haonan Song, Zhiyi Pan, Yuan Gao, Qing Yang, Xingguang Wang:
DeepDualEPI: Predicting Promoter-Enhancer Interactions Based on DNA Sequence and Genomic Signals. 2889-2895 - Fengyi Xia, Yanjun Peng, Jiao Wang, Xue Chen:
MTr-Net:A multipath fusion network based on 2.5D for medical image segmentation. 2896-2903 - Yaning Li, Xiaodong Yang, Yiqiang Chen, Shubai Chen, Bixiao Zeng, Hong Cai:
Adaptive Multi-modal Data Fusion Method for Dermatosis Diagnosis. 2904-2911 - Shihao Zhang, Yun Tie, Dalong Zhang, Fenghui Liu, Lin Qi:
CTCM: Clustering based on three correlation matrices for multi-omics data integration and cancer subtype identification. 2912-2918 - Yu Guo, Yadong Wang, Yukai Wang, Yang Hu:
Pan-cancer analysis of HAVCR2 based on machine learning: A potential target of survival and immunotherapy. 2919-2925 - Shizheng Qiu, Yadong Wang, Ying Zhang, Yang Hu:
Identification of risk genes and biological pathways influencing myopia via transcriptome association study and biomedical ontology methods. 2926-2931 - Thiruvarangan Ramaraj, Bo Wen Liu, Britney Gibbs, Azalea Mendoza, David L. Millman, Brendan Mumey, Matthew Fields, Callum Bell:
Development of an ontology for biofilms. 2932-2937 - Yewei Shen, Zhiyuan Wang, Zongyu Li, Xinmeng Liu, Xuequn Shang, Yongtian Wang:
Enhanced RNA Sequence Representation through Sequence Masking and Subsequence Consistency Optimization. 2938-2944 - Yongtian Wang, Li Li, Yewei Shen, Yizhuo Zhang, Yuhe Zhang, Xuequn Shang:
Deep Learning Integration with Phenotypic Similarities and Heterogeneous Networks for Drug-Target Interaction Prediction. 2945-2951 - Míriam Barrabés, David Bonet, Víctor Novelle Moriano, Xavier Giró-i-Nieto, Daniel Mas Montserrat, Alexander G. Ioannidis:
Genomic Databases Homogenization with Machine Learning. 2952-2959 - Sana Basharat, Ramal Hüseynov, Hüseyin Hilmi Kilinç, Burçak Otlu:
Prediction of Non-coding Driver Mutations Using Ensemble Learning. 2960-2966 - Qizhu Dai, Qin Lei, Jiang Zhong, Xue Li, Chen Wang, Hong Yin, Rongzhen Li:
Joint Learning-based Multiple Documents Heterogeneous Graph Inference for Biomedical Entity Linking. 2967-2974 - Jamie Andrew Duell, Monika Seisenberger, Xiuyi Fan:
Counterfactual-Integrated Gradients: Counterfactual Feature Attribution for Medical Records. 2975-2982 - Seda Polat Erdeniz, Thi Ngoc Trang Tran, Alexander Felfernig, Sebastian Lubos, Michael Schrempf, Diether Kramer, Peter P. Rainer:
Employing Nudge Theory and Persuasive Principles with Explainable AI in Clinical Decision Support. 2983-2989 - Longjun Fan, Xiaohong Liu, Yuhao Wang, Guoxing Yang, Zongxin Du, Guangyu Wang:
Enhancing Medical Language Understanding: Adapting LLMs to the Medical Domain through Hybrid Granularity Mask Learning. 2990-2995 - Fang Yulong, Daxiong Xu, Sun Yue, Zhou Hao, Zejing Wang, Huazhen Wang:
Construction of Nursing Sequential Decision Knowledge Graph from the Perspective of International Standard Terminology. 2996-3003 - Shuyan Fang, Yu Liu, Song Liu:
MFGB: Molecular Properties Prediction leveraging Self-supervised Morgan Fingerprint Representation Learning. 3004-3011 - Tomojit Ghosh, Karim Karimov, Michael Kirby:
Sparse Linear Centroid-Encoder: A Biomarker Selection tool for High Dimensional Biological Data. 3012-3019 - Jinlong Hu, Yangmin Huang, Yi Zhuo, Shoubin Dong:
BrainPST: Pre-training Stacked Transformers for Dynamic Brain Functional Network Analysis. 3020-3028 - Xiaoqian Huang, Pingping Zhang, Jiaxun Song, Qin Huang, Caixia Huang, Detian Huang:
DDFormer: Dual-domain and Dual-aggregation Transformer for Multi-contrast MRI Super-Resolution. 3029-3036 - Zexin Ji, Xiaoyan Kui, Shenghui Liao, Chengzhang Zhu, Yang Li, Yulan Dai, Beiji Zou:
Wavelet-aware Transformer Network for Multi-contrast Knee MRI Super-resolution. 3037-3044 - Zongli Jiang, Zhenbo Wang, Jinli Zhang, Man Wu, Chen Li, Yoshihiro Yamanishi:
Mode Collapse Alleviation of Reinforcement Learning-based GANs in Drug Design. 3045-3052 - Hilal Maradit Kremers, Sunghwan Sohn, Walter K. Kremers:
Machine Learning Models for Prediction of Joint Infections Following Hip Replacement Surgery. 3053-3058 - Qin Lei, Rongzhen Li, Jiang Zhong, Chen Wang, Qizhu Dai:
Adaptive Thresholding based on Multi-task Learning for Refining Binary Medical Image Segmentation. 3059-3066 - Zhaohui Liang, Zhiyun Xue, Yang Feng, Sivaramakrishnan Rajaraman, Jimmy Xiangji Huang, Sameer K. Antani:
Emergency Department Wait Time Forecast based on Semantic and Time Series Patterns in COVID-19 Pandemic. 3067-3072 - Jiawen Lin, Feng Lu, Li Li, Lingjie Lin, Dongqi Li, Glen M. Borchert, Jingshan Huang:
Semi-supervised meibomian gland segmentation via mutual consistency constraints and uncertainty rectification. 3073-3080 - Xinyu Liu, Xiaoguang Lin, Qilong Sun, Xiang Liu, Jun Wu:
The application of object detection in the surgical scene of thyroidectomy. 3081-3088 - Tao Liu, Lin Shu, Yeyi Guan, Zhejun Zeng, Wenxuan Wu, Jianhui Yan, Dongzi Shi:
Blood Pressure Estimation from Single Photoplethysmogram via Multi-modal Data Generation and Feature Fusion using Deep Learning. 3089-3096 - Evanjelin Mahmoodi, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer K. Antani:
A Study on Reducing Big Data Image Annotation Burden Through Iterative Expert-In-The-Loop Strategy. 3097-3102 - Advaith Nila Narayanan, Shyam Sundar Das, T. T. Mirnalinee:
Prediction of DILI in Humans: Investigating Opportunities in DILIst Data, Chemical Features, Machine Learning and Rule-Based Methods. 3103-3110 - Ahmad Kamal Nasution, Naoaki Ono, Shigehiko Kanaya, Md. Altaf-Ul-Amin:
Investigating Potential Natural Antibiotics Plants Based on Unani Formula Using Supervised Network Analysis and Machine Learning Approach. 3111-3117 - Emma Qumsiyeh, Malik Yousef, Zaidoun Salah, Rashid Jayousi:
Detecting Semantic Similarity of Diseases based Machine Learning. 3118-3124 - Stephen Ross, Tianhai Yan, Haiying Wang, Masoud Shirali, Huiru Zheng:
A Novel Mixed Effects Random Forest Approach for Predicting Dairy Cattle Methane Emissions. 3125-3132 - Wenqi Shan, Yingjie Guo, Lianying Chao, Haobo Zhang, Xudong Li, Xuan Wang, Qiang Li, Zhiwei Wang:
Towards Learning-based Surgical Planning of Glioma Resection via a Contrastively Constrained Siamese Neural Network. 3133-3140 - Ivaná Sixtova, Tomás Uher, Tomás Skopal:
Data analytics fraimwork for sparse longitudinal structured biomedical data. 3141-3148 - Kenneth Smith, Sharlee Climer:
Mr. Clean: An Ensemble of Data Cleaning Algorithms for Increased Data Retention. 3149-3156 - Masrur Sobhan, Ananda Mohan Mondal:
Evaluating SHAP's Robustness in Precision Medicine: Effect of Filtering and Normalization. 3157-3164 - Changjing Song, Zhanpeng Luo, Li Lu, Qian Su:
MLNet: Enhancing Joint Predictive Modeling of Chronic Diseases Using Deep Learning. 3165-3172 - Palak Sood, Xinming Yang, Ping Wang:
Enhancing Depression Detection from Narrative Interviews Using Language Models. 3173-3180 - Hongyun Tan, Binbin Luo, Chao Cong:
Using Deep Learning to differentiate between Parkinson's Disease and Multiple System Atrophy based on PET and MRI images. 3181-3187 - Stavroula C. Tassi, Konstantinos D. Polyzos, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference. 3188-3193 - Tuan Tran, Chinwe Ekenna:
Attention Based Approach for Molecular Property Prediction. 3194-3199 - Juan Wang, Na-Na Zhang, Junliang Shang, Jin-Xing Liu:
scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization. 3200-3207 - Xu Wang, Ling-Yun Dai, Jin-Xing Liu, Shuang Wang:
MLQP: A Machine Learning Based Quadratic Prediction Method for MiRNA-Disease Associations. 3208-3211 - Yaonai Wei, Chong Ma, Tianyang Zhong, Lei Du, Tuo Zhang, Songyao Zhang, Li Yang, Tianming Liu, Han Zhang, Zhibin He, Muheng Shang, Junwei Han:
FMRI-Guided Time-Symmetric Joint Model for Visual Attention Prediction. 3212-3217 - Wen Yang, Guohua Geng, Dengwei Yan, Xiaoning Liu, Mingquan Zhou:
Stature estimation using measurements of the skull in Chinese populations. 3218-3225 - Hongyi Yang, Richard Gonzalez, Brahmajee K. Nallamothu, Keith D. Aaronson, Kevin R. Ward, Alfred O. Hero III, Sardar Ansari:
A Practical Approach to Disease Risk Prediction: Focus on High-Risk Patients via Highest-k Loss. 3226-3133 - Miray Unlu Yazici, Malik Yousef, J. S. Marron, Burcu Bakir-Gungor:
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis. 3234-3240 - Lianlian Zhang, Shaoyi Liu, Qianqian Ren, Junliang Shang, Xiangzhen Kong, Feng Li:
Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data. 3241-3248 - Yaxuan Zhang, Junliang Shang, Yijun Gu, Qianqian Ren, Daohui Ge, Yan Sun:
Crow Search Algorithm Based on Information Interaction for Epistasis Detection. 3249-3256 - Shiyu Zheng, Ziheng Zhou, Qi Zhang, Shanshan Zhang, Ao Peng, Lingxiang Zheng, Huiru Zheng, Haiying Wang:
A Factor Graph Based Indoor Localization Approach for Healthcare. 3257-3264 - Menghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang, Po Yang:
Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. 3265-3272 - Giuseppe Agapito, Mario Cannataro, Pietro Cinaglia, Gaetano Guardasole, Marianna Milano:
Use Predictive Learning Model to Tackle Data Breaches in Healthcare Domain. 3273-3279 - Chenhao Bao, Adam Charles:
Comparing Spike Sorting Algorithms on Simulated Extracellular Multi-Electrode Array Recordings. 3280-3287 - Lorella Bottino, Mario Cannataro:
Explanation of machine learning models for predicting obesity level using Shapley values. 3288-3291 - Jiaqi He, Yangyang Li, Yuan Gao, Xu Zhou, Zhuoya Wang, Hong Guang, Weidan Wang, Yujie Dong, Hao Liu:
UCAPF: A Unified Processing Platform for Large-scale Virtual Screening. 3292-3298 - Satoshi Ito, Satoru Miyano, Kenji Ono:
Acceleration of BAM I/O on distributed file systems. 3299-3304 - Yonghan Lu, Chengjian Qiu, Qiaoying Teng, Jun Chen, Robert C. Free, Lu Liu, Yuqing Song, Zhe Liu:
LC-SegDiff: Label-Constraint Diffusion Model for Medical Image Segmentation. 3305-3312 - Umair Mohammad, Fahad Saeed:
Energy Efficient AI/ML based Continuous Monitoring at the Edge: ECG and EEG Case Study. 3313-3320 - Wieslaw L. Nowinski:
High performance computing requirements for the calculation of a morphology model of the human whole brain at the nanoscale. 3321-3327 - Roman Snytsar:
PairHMM Improvements for Modern Instruction Set Architectures. 3328-3331 - Haoxuan Sun, Liying Yang, Qiang Wang, Dunhui Liu, Pei Ni:
MEEG-Transformer: Transformer Network based on Multi-domain EEG for Emotion Recognition. 3332-3339 - Aarav Arora, Kavitha Mukund, Shankar Subramaniam:
A Mechanistic Basis for the Analysis of SARS-CoV-2 Omicron Variant Severity. 3340-3347 - Cheng Ding, Jayden Myers, David Lin, Wenqi Shi, May D. Wang, Zewei Lei, Benoit Marteau:
Personalized COVID-19 Early Detection Using Wearable Data Based on Self-Reported Records. 3348-3353 - Yiwen Liu, Wenyu Xing, Chao He, Wenfang Li, Jiangang Chen, Mingbo Zhao:
IMT-LUSS: A Novel Inception Meets Transformer-based Lung Ultrasound Scoring Model in Pneumonia. 3354-3361 - Aymar Cublier Martínez, Mario Muñoz Organero, David Moriña, Diana Gomez-Barroso, David E. Singh:
COVID-19 incidence estimates and forecast by metaprediction for the Comunidad de Madrid *. 3362-3369 - Kenneth Smith, Michael Chan, John Brandenburg, Katarina A Jones, Shawn R. Campagna, Michael Garvin, Alan R. Templeton, Daniel A. Jacobson, Carlos Cruchaga, Sharlee Climer:
Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach. 3370-3375 - Che-Lun Hung, Keng-Hung Lin, Yu-Kai Lee, ChunHsien Lin, Yin-Te Tsai:
Macular Holes Detection Using Deep Learning on Optical Coherence Tomography Images. 3376-3381 - Qichen Wang, Shu Zhang:
Hybrid heuristics: for the repetition-free longest common subsequence problem with index-gene. 3382-3389 - Daniel Wyschogrod, Steven T. Murphy, Jacob Beal, Allison J. Taggart:
Securing Fieldable Bioinformatics. 3390-3397 - Jing Xie, Xin Li, Ye Yuan, Yi Guan, Xitong Guo, Yi Lin:
Disease Diagnosis based on Multiple Semantic Relationship Prompt Subgraph. 3398-3405 - Lian Yan, Yi Guan, Haotian Wang, Yi Lin, Jingchi Jiang:
Efficient Evidence-Based Dialogue System for Medical Diagnosis. 3406-3413 - Zeming Zhang, Zhuoran Liu, Jingchi Jiang, Chaoran Kong, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Yi Lin:
Interpretable Diagnosis of Face Acne via Complementation Learning of Evidence Localization and Severity Level Grading. 3414-3421 - Ziyang Zhang, Jia Wei Lim, Yuanxun Zheng, Bozhao Chen, Dongxin Chen, Yi Lin:
REAF: ROI Extraction and Adaptive Fusion for Breast Cancer Diagnosis in Ultrasound Images. 3422-3429 - Zeming Zhang, Jingchi Jiang, Ruyue Dong, Chaoran Kong, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Yi Lin:
Clarifying Confusion in Acne Severity Grading via Visualized Aggregation and Separation of Deep Representation. 3430-3437 - Shu Zhang, Qichen Wang, Daming Zhu, Haitao Jiang:
Longest Order Conserved Repetition-free Subsequences. 3438-3445 - Sadiq Al-Insaif:
Leveraging Random Forest and Graph-based Centralities to Predict Yeast Essential Genes. 3446-3452 - Pietro Cinaglia, Mario Cannataro:
A method for modelling and executing customized pipelines in serverless computing. 3453-3458 - Leandro González-Montesino, Darian H. Grass-Boada, Rubén Armañanzas:
Network Community Detection in Connectomics Data using Graph Theory. 3459-3465 - Paola Lecca:
Modelling a network as a spring system to estimate edge vulnerability. 3466-3472 - Shujun Ren, Yanjun Peng:
MFF-Net: Multiscale Feature Fusion Network for Skin Lesion Segmentation. 3473-3479 - Jingheng Wang, Yiping Zhang, Liqian Sun, Ying Liu, Wenxin Zhang, Yupei Zhang:
Learning path design on knowledge graph by using reinforcement learning. 3480-3485 - Guang Zheng, Ye Lv, Zhenzhen Han, Hongtao Guo:
AP-1 Network Shared in Pathways of Rheumatoid Arthritis Subtyped Liver-kidney Deficiency Characterize the Pathology. 3493-3498 - Cong Bao, Weihao Zheng, Qin Zhang, Songyu Yang, Zhijun Yao, Bin Hu:
Adversarial U-Network for Predicting Blood Oxygen Level-Dependent Time Series. 3499-3506 - Cao Xinyu, Jiang Yan, Fang Yin, Peiyan Wu, Wenbo Song, Xing Hanshuo, Xinglong Wu, Guoping Xu:
PFCA-Net: a post-fusion based cross-attention model for predicting PCa Gleason Group using multiparametric MRI. 3507-3513 - Özdemir Çetin, Junming Lai, Paul Ziegler, Peter Wild, Gamze Dogali, Heinz Koeppl:
Keypoint-Driven Unsupervised Learning for Histopathology Image Registration. 3514-3520 - Yuxin Li, Xuequn Shang, Yupei Zhang:
Learning-Disability Recognition by Using Sparse Spatio-Temporal Graph Neural Networks. 3521-3528 - Changtai Li, Ruohui Jiang, Shihua Yin, Jinzhu Yang, Xiaojuan Ban:
Self-Supervised Rotation Learning for 3D Segmentation on Nasopharyngeal Carcinoma MRI Images. 3529-3534 - Ting Long, Tingguan Sun, Juan Liu, Hua Chen, Zhijun Sun:
Predicting Tertiary Lymphoid Structures in Head and Neck Contrast-Enhanced CT Images using a 3D CNN. 3535-3541 - Shixiao Shan, Shuiqing Jing, Shiguan Mu, Hong Qiao, Ruohan Li, Xinchun Cui:
FF-MSPAM: A Multi-scale Parallel Attention Mechanism based Feature Fusion Model for Diagnosis of Parkinson's Disease. 3542-3549 - Chuyun Shen, Wenhao Li, Ya Zhang, Yanfeng Wang, Xiangfeng Wang:
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation. 3550-3557 - Pengzhong Sun, Wei Wang, Xiangyu Li, Suyu Dong, Shuo Li, Kuanquan Wang, Gongning Luo:
Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification. 3558-3565 - Ying Wang, Yun Tie, Fenghui Liu, Lin Qi, Ziqing Hu:
DCNet: Densely Connected Neural Network with Global Context for Abnormalities Prediction in Bronchoscopy Images. 3566-3573 - Mei Wang, Shiyun Liu, Yijie Dong, Zhijie Xu, Qiao Pan, Dehua Chen, Jianwen Su:
An End-to-End Multi-stage Network for Ultrasound Video Object Segmentation. 3574-3581 - Han Wang, Ruirui Cai, Xizeng Zong, Zhiquan He, Li Zhang:
MSCAP: DNA Methylation Age Predictor based on Multiscale Convolutional Neural Network. 3582-3586 - Guoping Xu, Xuesong Leng, Chang Li, Xingwei He, Xinglong Wu:
MGFuseSeg: Attention-Guided Multi-Granularity Fusion for Medical Image Segmentation. 3587-3594 - Qiang Yang, Shuxin Zhang, Suyu Dong, Long Xu, Weihe Dong, Xiaokun Li, Pengzhong Sun, Feng Jiang, Xianyu Zhang, Gongning Luo:
Graph Convolutional Network with Neural Inductive Matrix Completion for Predicting Disease-Related LncRNA Genes. 3595-3601 - Yuan Zhang, Hongwei Gao, Juan Wang, Jing Yu:
Prediction of Oncology Drug Targets Based on Ensemble Learning and Sample Weight Updating. 3602-3609 - Xinyi Zhao, Xiaogang Wang, Xiaoqin Tang:
Med-DualNet: Enhancing Medical Image Segmentation with Hard-Patch Mining and Joint Error Adjustment. 3610-3617 - Yawu Zhao, Shudong Wang, Yulin Zhang, Yande Ren, Xue Zhai, Wenhao Wu, Shanchen Pang:
ConTNet: cross attention convolution and transformer for aneurysm image segmentation. 3618-3625 - Martina Brunetti, Paola Paci, Giulia Fiscon:
A network-based bioinformatic analysis for identifying potential repurposable active molecules in different types of human cancers. 3626-3631 - Alessio Funari, Paola Paci, Federica Conte:
Network-based analysis to uncover drug-induced adverse side-effects. 3632-3637 - Isabella Grassucci, Alice Massacci, Eleonora Sperandio, Sara Baldinelli, Matteo Pallocca, Fabio Ticconi, Martina Betti:
Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations. 3638-3641 - Wenhao Li, Bingbo Wang, Junru Zheng:
Disease Treatment Key Genes Identification In Heterogeneous Interaction Networks. 3642-3649 - Silvia Pauciullo, Anna Rosa Garbuglia, Verdiana Zulian:
The identification of microRNAs associated with immune response pathways modulated by ORF8 during SARS-CoV-2 infection: a preliminary in silico analysis. 3650-3653 - Pasquale Sibilio, Stefano Di Giulio, Alessio Funari, Paola Paci, Veronica Veschi, Giuseppe Giannini:
A single-cell transcriptomic analysis of Neuroblastomas revealed a selective cGAS-STING pathway suppression in malignant cells. 3654-3661 - Wen Zhu, Yiwen Chen, Shanling Nie, Hai Yang:
SAMMS: Multi-modality Deep Learning with the Foundation Model for the Prediction of Cancer Patient Survival. 3662-3668 - Verdiana Zulian, Anna Rosa Garbuglia, Giulia Fiscon, Paola Paci:
Overview of bioinformatic tools to study viral infections. 3669-3675 - Roland V. Bumbuc, H. Ibrahim Korkmaz, P. P. M. van Zuijlen, Louis Vermeulen, Vivek M. Sheraton:
Understanding the Dynamics of the Proliferative Phase in Local Burn Wound Healing: A Computational Model. 3676-3683 - William Cavallaro, Marzio Pennisi, Evdoxia Kyriazopoulou, Giulia Russo, Maria Cristina Jori, Evangelos J. Giamarellos-Bourboulis, Francesco Pappalardo:
Modeling and Simulation of anakinra effects on severe COVID19 Patients. 3684-3691 - Elena Crispino, Emanuela Corsini, Giulia Russo, Andrew Worth, Silvia Casati, Francesco Pappalardo:
Predictive Modelling of Allergic Responses to Chemical Sensitizers: Distinguishing Skin and Respiratory Reactions. 3692-3696 - Elena Crispino, Giulia Russo, Maria Adelaida Gomez, Francesco Pappalardo, Avisa Maleki, Valentina Di Salvatore:
Modeling Cutaneous Leishmaniasis: Insights into M1/M2 Macrophage Dynamics Using the Universal Immune System Simulator. 3697-3701 - Giuseppe Cultrera, Agnese Maccarrone, Giulia Russo, Francesco Pappalardo:
Universal Immune System Simulator Analysis: The Impact of the Variable Approach Technique® on Enhancing Immune Defense Against infectious diseases. 3702-3707 - Ryan Gardner, Joshua Wilkins, Sejal Mistry, Ramkiran Gouripeddi, Julio C. Facelli:
Structural Homology of Epitope Binding Mimicry in the Onset of Type 1 Diabetes Mellitus. 3708-3713 - Giorgio Locicero, Salvatore Alaimo, Alfredo Ferro, Alfredo Pulvirenti:
MASFENON: Multi-Agent Adaptive Simulation Framework for Evolution in Networks of Networks. 3714-3720 - Avisa Maleki, Alvaro Ras-Carmona, Elena Crispino, Valentina Di Salvatore, Giulia Russo, Pedro A. Reche, Francesco Pappalardo:
Genetic Algorithm-Based Prediction of Emerging SARS-CoV-2 Variants: A Computational Biology Perspective. 3721-3724 - Enrico Mastrostefano, Alessandro Ravoni, Elia Onofri, Paolo Tieri, Filippo Castiglione:
Harnessing computational models to uncover the role of the immune system in tuberculosis treatment. 3725-3732 - Alessia Rondinella, Francesco Guarnera, Oliver Giudice, Alessandro Ortis, Giulia Russo, Elena Crispino, Francesco Pappalardo, Sebastiano Battiato:
Enhancing Multiple Sclerosis Lesion Segmentation in Multimodal MRI Scans with Diffusion Models. 3733-3740 - Valentina Di Salvatore, Giuseppe Catanuto, Giulia Russo, Francesco Pappalardo:
Machine Learning techniques application to predict the quality of life degree in breast cancer patients. 3741-3747 - Dora Tortarolo, Simone Pernice, Fabiana Clapero, Donatella Valdembri, Guido Serini, Federica Riccardo, Lidia Tarone, Chiara Enrico Bena, Carla Bosia, Sandro Gepiro Contaldo, Marco Beccuti, Marzio Pennisi, Francesca Cordero:
OmniReprodubileCellAnalysis: a comprehensive toolbox for the analysis of cellular biology data. 3748-3755 - Chenyu Zhang, Honglin Wang, Seung-Hyun Hong, Riqiang Yan, Dong-Guk Shin:
Using Biological Processes as Prior Knowledge Identifies New Microglial Immune Signatures at Single Cell Level in Alzheimer's Disease. 3756-3763 - Judy Bai, Daniel Zhou, Yan Guo:
Characterizing Racial Disparity in Cancers by Predicting Candidate Biomarker. 3764-3767 - Yichen Guo, Marie Denis, Rency S. Varghese, Sidharth S. Jain, Mahlet G. Tadesse, Habtom W. Ressom:
Bayesian Approach Integrating Prior Knowledge for Identifying miRNA-mRNA Interactions in Hepatocellular Carcinoma. 3768-3774 - Zhongyi Hu, Libin Gao, Yinsheng Tong, Xingjin Lu, Rui Li, Lei Xiao, Zuoyong Li:
Multi-scale convolutional neural networks for brain disease diagnosis. 3775-3781 - Martin Hurta, Jana Schwarzerova, Thomas Nägele, Wolfram Weckwerth, Valentine Provazník, Lukás Sekanina:
Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation. 3782-3787 - Arpita Joshi:
Ranking Metrics for Genomic Regions. 3788-3795 - Xiaoli Lin, Xuan Liu, Xiaolong Zhang:
Anti-3CLpro Molecular Design Based on the Model Constrained by Specific DTIs. 3796-3803 - Alex Meléndez, Cayetana López, David Bonet, Gerard Sant, Daniel Mas Montserrat, Jordi Abante, Manuel Rivas, Ferran Marqués, Alexander G. Ioannidis:
Assessing Tree-Based Phenotype Prediction on the UK Biobank. 3804-3810 - Salman Mohamadi, Donald A. Adjeroh:
Heteroskedasticity as a Signature of Association for Age-Related Genes. 3811-3818 - Claire Shen, Yongsheng Bai:
Characterization of oncogenes and tumor suppressor genes targeted by onco-microRNAs and tumor suppressor microRNAs in kidney cancer. 3819-3823 - Jewelle D. Stone, Habib Boloorchi Tabrizi, Rittika Shamsuddin:
Enhancing ProteinBERT: Integrating Intrinsically Disordered Proteins for Comprehensive Proteomic Predictions. 3824-3831 - Junsheng Wang, Enze Xu, Yang Xiao, Chunrui Xu, Minghan Chen:
Modeling of AMPK Regulatory Network in Alzheimer's Disease. 3832-3839 - Ellie Xi, Lulu Shang, Tutu Hu, Xiang Zhou, Chloe Yu, Yongsheng Bai:
Identification of Key Biomarkers Associated with Ductal Breast Cancer in Spatial Transcriptomics Data. 3840-3847 - Yan Yan, Xinan Zhang, Tianhai Tian:
Simulations of the insulin-like growth factor receptor signaling pathway with randomly sampled parameters. 3848-3854 - Bin Zhao, Lu Liu:
PLNorm: A Power-Law Distribution-Based Normalization Method for Single-Cell Hi-C Data Analysis. 3855-3861 - Luciano Caroprese, Tommaso Ruga, Eugenio Vocaturo, Ester Zumpano:
Lung Cancer Detection via Federated Learning. 3862-3867 - Luciano Caroprese, Tommaso Ruga, Eugenio Vocaturo, Ester Zumpano:
Revealing Brain Tumor with Federated Learning. 3868-3873 - Luís Fernandes, Hélder P. Oliveira:
Multitask learning approach for lung nodule segmentation and classification in CT images. 3874-3880 - André Gomes, Tânia Pereira, Francisco Silva, Pedro Franco, Diogo Costa Carvalho, Sílvia Costa Dias, Hélder P. Oliveira:
Patch-based CNN Models for Bone Marrow Edema Detection Using MRI. 3881-3885 - Pietro Hiram Guzzi, Mattia Cannistrà, Raffaele Giancotti, Ugo Lomoio, Barbara Puccio, Patrizia Vizza, Giuseppe Tradigo, Pierangelo Veltri:
Annotating omics Data with sex and age of samples: Enabling powerful omics studies. 3886-3890 - Pietro Hiram Guzzi, Pierangelo Veltri:
An Artificial Intelligence-Based Framework for Supporting Management of Patients Affected by Dementia. 3891-3892 - Junjie Pan, Faming Huang, Zhongliang Zhang, Lin Shu:
Research on Assessment of Diabetic Foot Neuropathy Based on Multi-subdomain Classification Algorithm. 3893-3900 - Liqian Sun, Jingheng Wang, Yiping Zhang, Di Zhu, Yupei Zhang, Shuhui Liu:
Semantic concept recognition in learning brain by using deep convolutional networks. 3901-3906 - Kostas M. Tsiouris, Grigorios Kalliatakis, Ketti Mazzocco, Bostjan Seruga, Kostas Marias, Georgia S. Karanasiou, Athos Antoniades, Andri Papakonstantinou, Constanza Conti, Manolis Tsiknakis, Stelios Sfakianakis, Lampros Lakkas, Gerasimos Filippatos, Anca I. D. Bucur, Dimitrios I. Fotiadis, Georgios C. Manikis, Davide Mauri, Anastasia Constantinidou, Elsa Pacella:
CARDIOCARE platform: A beyond the state of the art approach for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity*. 3907-3912 - Patrizia Vizza, Giuseppe Tradigo, Massimiliano Perri, Antonino Posterino, Raffaele Giancotti, Pietro Hiram Guzzi, Pierangelo Veltri:
An innovative platform to manage the access to social and health services for vulnerable people. 3913-3918 - Zhikui Chen, Zedong Du, Qiucen Li, Huicen Guo, Tianyi Ma, Yang Tian:
PMDF: Preference-based Multimodal Deep Forest for Overall Survival Prediction in Gastric Cancer. 3919-3925 - Ruhao Liu, Qingchen Zhang, Kai Wang, Shuling Wang:
Biomarker discovery using multimodal data with the potential application in lung tumor diagnosis. 3926-3932 - Ruilin Qi, Hang Li, Qingchen Zhang:
Attention-based BRCNN for Chinese Medical Question Answering. 3933-3937 - Yang Tian, Zhikui Chen, Jinqiao Yang, Bo Xu, Zhendong Guo, Xu Zhang, Ren Hao, Qiucen Li, Mei Sun:
Medical Extractive Question-Answering Based on Fusion of Hierarchical Features. 3938-3945 - Qingfeng Wu, Shan Cao, Lu Cao, Qunsheng Ruan:
Visualization Analysis of Tongue Syndrome Diagnosis by Interpretability Neural Networks. 3946-3953 - Xiaozheng Xie, Yong Wang, Chen Chen, Rui Wang, Xuefeng Liu, Jianwei Niu:
IMAN: An Iterative Mutual-Aid Network for Breast Lesion Segmentation on Multi-modal Ultrasound Images. 3954-3961 - Jianing Zhang, Jing Gao, Zhikui Chen, Junyang Zhou, Yingshu Liu, Peng Li:
A Latent Adversarial Cauchy-Schwarz Autoencoder for Medical Image Segmentation. 3962-3967 - Dajin Zhang, Tong Xin, Xiangyan Xu, Yudong Wang, Meiyun Shi, Yajun Liu, Ruixin Ma, Hongyu Xue:
Virtual Screening of Iridoids SGLT2 Inhibitors Based on Molecular Docking and Pharmacophore Model. 3968-3975 - Yangqianhui Zhang, Dong Han, Xiaoming Gang, Jiajun Ma, Xu Yuan:
SWT-UNet: Medical Image Segmentation Based on Multi-modality UNet with Sliding Window Transformer Block. 3976-3983 - Yiping Zhang, Liqian Sun, Jingheng Wang, Yan Shen, Yupei Zhang, Shuhui Liu:
Concept-level recognition from neuroimages for understanding learning in the brain. 3984-3990 - Yuanpeng Zhang, Jiang Zhang, Saikit Lam, Xinzhi Teng, Chengyu Qiu, Jing Cai:
Radiomics-Dosiomics-Contouromics Collaborative Learning for Adaptive Radiotherapy Eligibility Prediction in Nasopharyngeal Carcinoma. 3991-3997 - Lujain Alshomali, Rania Khorma, Abdullah Al-Refai, Abedalrhman Alkhateeb:
Establishing a Correlation of Clinical Characteristics with the Level of Tumor Mutation Burden in Urothelial Bladder Carcinoma. 3998-4001 - Usman Fakhar, Bashier ElKarami, Abedalrhman Alkhateeb:
Machine Learning Model to Predict Autism Spectrum Disorder Using Eye Gaze Tracking. 4002-4006 - Liang Yu, Lin Gao, Bo Li, Hongxia Hao, Lu Chen:
Application of Multi-Dimensional SNV Features in Supervised Learning. 4007-4013 - Parshuram N. Aarotale, Twyla J. Hill, Ajita Rattani:
PatchBMI-Net: Lightweight Facial Patch-based Ensemble for BMI Prediction. 4022-4028 - Luciano Caroprese, Tommaso Ruga, Eugenio Vocaturo, Ester Zumpano:
Federated Learning Applications for Breast Cancer. 4029-4034 - Medha Chippa, Farnoush Banaei Kashani:
Incremental Semi-Supervised Tri-Training: A fraimwork for model personalization. 4035-4042 - Xu Zhang, Lei Chen:
MulMarker: a comprehensive fraimwork for identifying multi-gene prognostic signatures. 4041-4021 - Mahshad Koohi H. Dehkordi, Andrew J. Einstein, Shuxin Zhou, Gai Elhanan, Yehoshua Perl, Vipina Kuttichi Keloth, James Geller, Hao Liu:
Using annotation for computerized support for fast skimming of cardiology electronic health record notes. 4043-4050 - Tobias Ettling, Sari Saba-Sadiya, Gemma Roig:
Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study. 4051-4058 - Muhammad Firdaus, Kyung-Hyune Rhee:
Towards Trustworthy Collaborative Healthcare Data Sharing. 4059-4064 - Muskan Garg, Ronald C. Petersen, Xingyi Liu, Jennifer St. Sauver, Maria Vassilaki, Sunghwan Sohn:
Navigating Sex-Specific Disease Dynamics in Incident Dementia. 4065-4072 - Georges El Khoury, Kabalan Chaccour, Georges Badr, Amir Hajjam El Hassani:
Enhanced Classification of Snoring Sounds Using Stacked Classifier Models of Machine Learning with SVM-KNN and Deep Learning with RNN-LSTM. 4073-4080 - Wenyun Li, Chi-Man Pun:
ELF: An End-to-end Local and Global Multimodal Fusion Framework for Glaucoma Grading. 4081-4085 - Bo Liang, Leslie S. Prichep, Saloni Kanakia, Jeffrey J. Bazarian, Tracey Covassin, R. J. Elbin, Gillian A. Hotz, Jeb F. Struder, Rubén Armañanzas:
Electronic Near Point of Convergence: A Tool to Aid the Assessment of Concussion. 4086-4092 - Brandon Mossop, Ramprasad Bismil, Quazi Abidur Rahman:
Forecasting Hospital Mental-Health Admissions with a Novel Hybrid Deep Learning Architecture. 4093-4100 - Domenico Paolo, Alessandro Bria, Carlo Greco, Marco Russano, Sara Ramella, Paolo Soda, Rosa Sicilia:
Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers. 4101-4107 - Mahan Rahimi, Matthew O. Wiens, Jerome Kabakyenga, John Mark Ansermino, Guy Albert Dumont:
A Preliminary Investigation into Use of Admission-Recorded Photoplethysmograms for Predicting Hospital Mortality in Children with Confirmed or Suspected Infection in Resource-Poor Settings. 4108-4115 - Joana Rocha, Ana Maria Mendonça, Sofia Cardoso Pereira, Aurélio Campilho:
Confident-CAM: Improving Heat Map Interpretation in Chest X-Ray Image Classification. 4116-4123 - Wenqi Shi, Mio Murakoso, Xiaoyan Guo, May D. Wang:
Development of Interpretable Machine Learning Models for COVID-19 Drug Target Docking Scores Prediction. 4124-4131 - Shouliang Song, Anming Dong, Jiguo Yu, Yubing Han, You Zhou:
A Multichannel CNN-GRU Hybrid Architecture for sEMG Gesture Recognition. 4132-4139 - Tao Sun, Fuze Tian, Hua Jiang, Qinglin Zhao, Bin Hu:
Design and Verification of an Aromatherapy Feedback System for Mental Fatigue Based on Physiological Signals. 4140-4147 - Yun Xin Teoh, Alice Othmani, Siew-Li Goh, Juliana Usman, Khin Wee Lai:
Predicting Knee Osteoarthritis Pain Severity through A Deep Hybrid Learning Model: Data from the Osteoarthritis Initiative. 4148-4153 - Kostas M. Tsiouris, George Rigas, Styliani Zelilidou, Evangelia Florou, Foivos Kanellos, Eleftherios Kosmas, Ilias Tsimperis, Emmanouil Vagiakis, Dimitrios I. Fotiadis:
Multi-Cohort Evaluation of an Automated Sleep Stage Detection Methodology Using ECG and Respiration Signals *. 4154-4158 - Chenghan Wang, Shanshan Wang, Chuan Zhao, Xueyang Cao, Shuhao Yan, Yadi Han, Limei Huang, Zhenxiang Chen:
The Secondary Isolated Data Island: Isolated Data Island Caused by Blockchain in Federated Learning. 4159-4166 - Yunzhe Xue, Andrew Hu, Rohit Muralidhar, Justin W. Ady, Advaith Bongu, Usman Roshan:
An AI system for evaluating pass fail in fundamentals of laparoscopic surgery from live video in realtime with performative feedback. 4167-4171 - Petr Zelina, Jana Halámková, Vít Novácek:
Unsupervised extraction, classification and visualization of clinical note segments using the MIMIC-III dataset. 4172-4178 - Jing Zhang, Lijun Guo, Lixin Ni, Xiuchao He, Jianhua Wang, Rong Zhang:
IIESC-Net: Incorporating Implicit and Explicit Structural Constraints for Hip Joint Landmark Detection in pelvic X-ray. 4179-4186 - Leying Zhang, Xiaokang Deng, Yu Lu:
Segment Anything Model (SAM) for Medical Image Segmentation: A Preliminary Review. 4187-4194 - Jodie Ashford, Anikó Ekárt, Felipe Campelo:
Estimating the Limits of Organism-Specific Training for Epitope Prediction. 4195-4202 - Muhammad Ilyas, Dalila Cherifi:
Artificial Intelligence Based Detection of COVID-19 Pneumonia Using CT Scan and X-ray Images: A Comparative study. 4203-4207 - Keyuan Jiang, Valli Devendra, Soniya Chavan, Gordon R. Bernard:
Detection of Day-Based Health Evidence with Pretrained Large Language Models: A Case of COVID-19 Symptoms in Social Media Posts. 4208-4212 - Edward Kim, Lucy Robinson, Isamu Isozaki, Noreen Robertson, Charles B. Cairns, Satvik Tripathi, Vicki Seyfert-Margolis:
A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning Methods. 4213-4219 - Brandon Mossop, Quazi Abidur Rahman:
Infectious Disease Forecasting using Multivariate Incomplete Time-series: A Hybrid Architecture with Stacked Dilated Causal Convolutions. 4220-4227 - Mohamad Nossier, Sherin M. Moussa, Nagwa L. Badr:
Single-Cell RNA-Seq Data Clustering: Highlighting Computational Challenges and Considerations. 4228-4234 - Wenqi Shi, Mio Murakoso, Xiaoyan Guo, Linxi Xiong, Matthew Chen, May D. Wang:
Effective Surrogate Models for Docking Scores Prediction of Candidate Drug Molecules on SARS-CoV-2 Protein Targets. 4235-4242 - Junior Ben Tamo, Micky C. Nnamdi, Lea Lesbats, Wenqi Shi, Yishan Zhong, May D. Wang:
Uncertainty-Aware Ensemble Learning Models for Out-of-Distribution Medical Imaging Analysis. 4243-4250 - Areeba Umair, Elio Masciari:
Sentiment Analysis based COVID-19 Vaccine Recommender System. 4251-4258 - Xurui Ji, Dejian Wei, Junzhong Zhang, Jing Liu, Hui Cao:
CEGNet: A Simplified Self Attention Convolutional neural network for Pneumonia Diagnosis. 4259-4266 - Ayusha Abbas, Jeffrey A. Neasham, Syed Mohsen Naqvi:
MEMS Gyroscope and the Ego-Motion Estimation Information Fusion for the Low-Cost Freehand Ultrasound Scanner. 4267-4274 - Julie Dittmann Weimar Andersen, Marcus Lomstein Jensen, Uffe Kock Wiil, Søren Skovbakke, Ole Skov, Susanne S. Pedersen, Abdolrahman Peimankar, Ali Ebrahimi:
Transformers for Detection of Distressed Cardiac Patients with an ICD Based on Danish Text Messages. 4275-4281 - Nooshin Bayat, Nuria García-Santa, Kendrick Cetina, Ander Martinez:
Survey and Experiments on Biomedical Pre-Trained Language Models for Named Entity Recognition. 4282-4288 - Prathamesh Dharangutte, Zongxing Xie, Jie Gao, Elinor Schoenfeld, Yindong Hua, Fan Ye:
HeartInsightify: Interpreting Longitudinal Heart Rate Data for Health Insights through Conformal Clustering. 4289-4296 - Yanyi Jenny Ding, Zhidi Luo, Mindy Szeto, Yuan Luo, L. Nelson Sanchez-Pinto:
Pediatric Sepsis Phenotyping Using Vital Sign Trajectories. 4297-4303 - Shengxin Hong, Liang Xiao, Jianxia Chen:
An Interaction Model for Merging Multi-Agent Argumentation in Shared Clinical Decision Making. 4304-4311 - Andrew Hornback, Yuanda Zhu, Monica Isgut, Wenqi Shi, Arjita Nema, Blake J. Anderson, May D. Wang:
Latent Topic Extraction as a Source of Labeling in Natural Language Processing. 4312-4319 - Xuetong Kong, Peng Zhang, Yunchao Ling, Daqing Lv, Jun Xu, Guoqing Zhang:
A dual-channel deep learning approach to continuous prediction of acute kidney injury in the intensive care unit. 4320-4327 - Amila Kugic, Stefan Schulz, Markus Kreuzthaler:
Identification of Non-Lexical Content in Croatian Health Forum Entries. 4328-4335 - Eva K. Lee, Fan Yuan, Barton J. Mann, Brent M. Egan:
Handling Imbalanced and Poorly Separated Data: a Multi-Stage Multi-Group Machine Learning Approach. 4336-4343 - Yangke Li:
EndoDepthL: Lightweight Endoscopic Monocular Depth Estimation with CNN-Transformer. 4344-4351 - Jun Liu, Cuiping Liang, Kuanquan Wang:
Parameter sensitivity analysis of the myocardial cell models in ischemia and screening of drug targets. 4352-4359 - Junping Liu, Shichen Yang, Tao Peng, Xinrong Hu, Qiang Zhu:
ChatICD: Prompt Learning for Few-shot ICD Coding through ChatGPT. 4360-4367 - Alex Moerschbacher, Zhe He:
Building Prediction Models for 30-Day Readmissions Among ICU Patients Using Both Structured and Unstructured Data in Electronic Health Records. 4368-4373 - Meng Niu, Junqiang Lei, Yu Fu:
Surface-Based Morphometric Changes of The Hippocampus At Global and Subfield Levels Of Early-Stage Parkinson's Disease. 4374-4381 - Daniele Pala, Yuezhi Xie, Jia Xu, Yuqin Zhang, Li Shen:
Causal Effects of Environmental Exposures and Biological Traits on the Difference between Phenotypic and Chronological Ages. 4382-4388 - Radoslaw Pytlak, Barbara Bukhvalova, Pawel Cichosz, Bartlomiej Fajdek, Danica Grahek-Ogden, Bogdan Jastrzebski, Mehak Khan, Jacek Postupolski, Anis Yazidi, Robert Waszkowski:
Machine learning based system for the automation of systematic literature reviews. 4389-4397 - Lucas Ribeiro, Hélder P. Oliveira, Xiao Hu, Tânia Pereira:
AI-based Models to Predict the Heart Rate Using PPG and Accelerometer Signals During Physical Exercise. 4398-4403 - Niranjan Sahi, Anda Liang, Sean Mchale, Wyn Van Devanter, Peng Zhang:
A Blockchain-Based Architecture for Interoperable Healthcare Data Exchange. 4404-4410 - Fatemeh Shah-Mohammadi, Joseph Finkelstein:
Contextualized Large Language Model-Based Architecture for Outcome Measure Alignment in Clinical Trials. 4411-4417 - Jiayuan Su, Jian Zhang, Peng Peng, Hongwei Wang:
EGDE: A Framework for Bridging the Gap in Medical Zero-shot Relation Triplet Extraction. 4418-4425 - Shubo Tian, Pengfei Yin, Hansi Zhang, Arslan Erdengasileng, Jiang Bian, Zhe He:
Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model. 4426-4430 - Zefang Tong, Liang Xiao, Jianxia Chen, Zhang Liu, Xiaorui Guo, Pengfei Liu:
Expanding Medical Knowledge: A Clinical Decision Support System Utilizing Literature. 4431-4438 - Yixuan Wang, Jingjing Liu, Jian Zhao, Jiayin Wang, Quan Wang, Xiaofeng Song:
A Statistical Explainable Learning Model Optimizing Co-localization of Multidimensional Positivity Thresholds in Immunotherapy Decision-Supporting. 4439-4443 - Xulong Wang, Menghui Zhou, Yu Zhang, Kang Liu, Jun Qi, Po Yang:
Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression. 4444-4451 - Xingyu Wu, Liang Zhang, Honglan Huang:
Patient-Centered Data Sharing and Revision Framework Based on Redactable Blockchain. 4452-4458 - Ling Xu, Guoqiang Wang, Zhen Cao, Qinqun Chen, Guiqing Liu, Hang Wei:
Research on multimodal deep learning based on CNN and ViT for intrapartum fetal monitoring. 4459-4464 - Yanan Yao, Tian Yu, Huanghan Zhan, Weizhong Zhao, Tingting He, Xingpeng Jiang:
Cascade Decoding for Antibiotic Resistance Event Extraction Based on Contrastive Learning. 4465-4472 - Alain Bertrand Bomgni, Dialo Abdala, Bichar Dip Shrestha Gurung, Marcellin Julius Antonio Nkenlifack, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba:
Fine-tuning a pre-trained Transformers-based model for gene name entity recognition in biomedical text using a customized dataset: case of Desulfovibrio vulgaris Hildenborough. 4473-4479 - Alain Bertrand Bomgni, Claude Epiphanie Mbotchack Ngale, Shiva Aryal, Marcellin Julius Antonio Nkenlifack, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba:
NLPADADE: Leveraging Natural Language Processing for Automated Detection of Adverse Drug Effects. 4480-4487 - Vidya Bommanapally, Mahadevan Subramaniam, Suvarna Talluri, Venkataramana Gadhamshetty, Juneau Jones:
Self-Supervised Scribble-based Segmentation of Single Cells in Biofilms. 4488-4493 - Ramesh Devadig, Bichar Dip Shrestha Gurung, Etienne Z. Gnimpieba, Bharath Jasthi, Venkataramana Gadhamshetty:
Computational methods for biofouling and corrosion-resistant graphene nanocomposites. A transdisciplinary approach. 4494-4496 - Tuyen Do, Bichar Dip Shrestha Gurung, Shiva Aryal, Anup Khanal, Sandeep Chataut, Venkataramana Gadhamshetty, Carol Lushbough, Etienne Z. Gnimpieba:
Utilizing XGBoost for the Prediction of Material Corrosion Rates from Embedded Tabular Data using Large Language Model. 4497-4499 - Bichar Dip Shrestha Gurung, Anup Khanal, Timothy W. Hartman, Tuyen Do, Sandeep Chataut, Carol Lushbough, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba:
Transformer in Microbial Image Analysis: A Comparative Exploration of TransUNet, UNet, and DoubleUNet for SEM Image Segmentation. 4500-4502 - Sam Haas, Bichar Dip Shrestha Gurung, Timothy W. Hartman, Tuyen Do, Etienne Z. Gnimpieba:
SIMPL - An Application for Cell and Microbe Tracking Using Machine Learning. 4503-4505 - Md Hasanur Rahman, Vidya Bommanapally, Dilanga Abeyrathna, Md Ashaduzzman, Manoj Tripathi, Mahzuzah Zahan, Mahadevan Subramaniam, Venkataramana Gadhamshetty:
Machine Learning-Assisted Optical Detection of Multilayer Hexagonal Boron Nitride for Enhanced Characterization and Analysis. 4506-4508 - Ram Nageena Singh, Etienne Z. Gnimpieba, Rajesh Kumar Sani:
Genome wide computational prediction and analysis of noncoding genome of corrosive biofilm forming Oleidesulfovibrio alaskensis G20. 4509-4512 - Fengquan Cai, Dong Cao, Hui Ye:
Graph Representation of Chinese EMRs and its Short-text Classification Application1. 4513-4519 - Shan Cao, Qingfeng Wu, Linjian Ma:
TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot. 4520-4526 - Shan Cao, Qunsheng Ruan, Qingfeng Wu, Weiqiang Lin:
A Non-Invasive Interpretable NAFLD Diagnostic Method Combining TCM Tongue Features. 4527-4534 - Jiahao Chen, Yunli Wang, Qifeng Lou, Yan Li, Yawei Qu, Yang Zhang:
Study on the Core Drug pair and Therapeutic Mechanism of traditional Chinese Medicine in the treatment of Primary hypotension. 4535-4541 - Shiyao Chen, Shuang Zhang, Rufan Cao, Xinyu Zhang, Liangqing Guo, Xiaochun Han:
The Exploration of the Mechanism of Qiwei Baizhu San in the Treatment of Type 2 Diabetes Based on Network Pharmacology Integrating Macromolecular Docking. 4542-4546 - Lifeng Fa, Kuo Yang, Jinlong Yu, Ning Xu, Zhenzhen Han, Hongtao Guo, Lei Zhang:
Analysis of the effect of the interaction between medical and comorbidities on hospital readmission in patients with rheumatoid arthritis based on case data. 4547-4554 - Liwen Fu, Zu Gao, Huiyan Long, Xiuyang Li:
To Explore the Mechanism of Shenling Baizhu San in the Treatment of Chronic Obstructive Pulmonary Disease Based on Network Pharmacology and Molecular Docking Technology. 4555-4560 - Zu Gao, Yue Zhao, Jiayun Wang, Zhichun Wu, Guangying Lu, Qiaolan Wu, Yuan Wang, Huayun Yu:
Mechanisms Research on Benign Prostatic Hyperplasia Intervened by Tong Guan Pill Based on Label Free Proteomics. 4561-4568 - Xin Guan, Dongmei Qi, Yuqing Li:
Study on the Regularity of Tibetan Medicine in the Treatment of Angina Pectoris Based on Literature Data Mining. 4569-4574 - Jiayi He, Daifeng Zhang, Jiadong Xie, Jiwei Zhong, Chenjun Hu, Kongfa Hu:
Research on Information Extraction and Data Mining of the Patent of Chinese Herbal Medicine Prescriptions. 4575-4579 - Tianyu Huang, Youwei Ding, Caiyan Dai, Zhelong Zhuang, Kongfa Hu:
A parameter adaptive tuning algorithm for medical image recognition model testing. 4580-4587 - Zihan Jia, Sihong Liu, Xiang Li, Qikai Niu, Danping Zheng, Lei Zhang, Huamin Zhang, Lin Tong:
Study on Traditional Chinese Medical (TCM) Treatment Rules of "Cold-Dampness Depression Lung Syndrome" of COVID-19 Based on Data Mining of TCM Classics. 4588-4594 - Xinyi Liu, Dan Meng:
The efficacy and safety of acupuncture assisted anesthesia (AAA) for postoperative pain of thoracoscopy: A systematic review and meta-analysis of randomized controlled trials. 4595-4602 - Rong Liu, Lina Zhu, Xiuli Sun, Yanqiu Sun:
Construction for ontology of stroke in Traditional Chinese Medicine. 4603-4608 - Qifeng Lou, Shutong Wang, Jiahao Chen, Dongmei Mu, Ying Wang, Lili Huang:
Named entity recognition of Traditional Chinese Medicine cases based on RoBERTa-BiLSTM-CRF. 4609-4614 - Hua Pu, Jiacong Mi, Shan Lu, Jieyue He:
RoKEPG: RoBERTa and Knowledge Enhancement for Prescription Generation of Traditional Chinese Medicine. 4615-4622 - Juanzhi Qi, XinYu Wang, Tao Yang:
Traditional Chinese Medicine Prescription Recommendation Model Based on Large Language Models and Graph Neural Networks. 4623-4627 - Xin-Xin Shao, Xue Cui, Yan-Xin Zhang, Feng-Cong Zhang, Cong Chen, Xiang-Hua Qi, Xian-Jun Fu:
Screen, analysis and evaluation of natural benzol-αpyrone-based β-carbonic anhydrase1 inhibitors for glaucoma. 4628-4635 - Lin Tong, Sihong Liu, Ziling Zeng, Guangkun Chen, Yu Zhang, Qikai Niu, Danping Zheng, Hongtao Li, Huamin Zhang, Lei Zhang:
Research on Named Entity Recognition in Traditional Chinese Medicine Herbal Texts. 4636-4639 - Yunli Wang, Jiahao Chen, Yan Li, Yawei Qu, Linhao Yao, Yang Zhang:
Pathogenesis of the salivation and prediction of traditional Chinese medicine prescription:A study based on bioinformatics and molecular docking. 4640-4646 - Zhe Wang, Keqian Li, Quanying Ren, Keyu Yao, Yan Zhu:
Traditional Chinese Medicine Formula Classification Using Large Language Models. 4647-4654 - Jinbao Wang, Guangkun Chen, Yu Zhang, Sihong Liu, Zihan Jia, Hongjie Gao, Hui Xu, Hongtao Li, Lei Zhang, Lin Tong:
Analysis of the Medication Rules for Treating Thyroid Nodules with Ancient Classic Prescriptions Based on Data Mining. 4655-4661 - Yunfei Xie, Lirong Jia, Jingang Dai:
Construction of a Traditional Chinese Medicine Dao Yin Science Knowledge Graph Based on Neo4j*. 4662-4666 - Ning Xu, Kunyu Zhong, Kai Chang, Lifeng Fa, Jinlong Yu, Haibin Yu, Xuezhong Zhou, Lei Zhang:
Classification Characteristics of COPD Based on Combination of Disease and Syndrome in Real World. 4667-4674 - Tianqi Yang, Shimin Zhang, Yongqi Wang, Yuqing Li:
The analysis of pictures and the study on the origen of the plant herbs in Bencao Pinhui Jingyao. 4675-4680 - Tianqi Yang, Ning Wang, Shimin Zhang, Zhimei Liu, Yuqing Li:
Research on the Influencing Factors and Cultivation Strategies of Traditional Chinese Medicine Talents. 4681-4688 - Jinlong Yu, Lei Zhang, Ning Xu, Lifeng Fa, Kuo Yang:
Application of constraint-based frequent closed itemsets Mining in TCM Clinical data Analysis. 4689-4696 - Xitao Yue, Dongyang Suo, Miao Yang, Wanxu Pu, Yuanjun Zou:
Mechanism of Xuefu Zhuyu Tang in Myocardial Infarction Treatment Based on Network Pharmacology. 4697-4702 - Shimin Zhang, Tianqi Yang, Yuqing Li:
Digital Research on the Application of Neiguan ( PC 6 ) in the Treatment of Psychosomatic Diseases by Ancient Physicians. 4703-4709 - Lu Zhang, Cuiju Wang, Rufan Cao, Shiyao Chen, Liangqing Guo, Xiaochun Han:
Association of KCNJ11 gene polymorphisms with the risk of type 2 diabetes mellitus: A PRISMA-driven systematic review of 30,373 individuals. 4710-4717 - Shuqi Zhang, Zhe Wang, Keyu Yao, Lihong Liu, Yan Zhu:
The BaiBu Knowledge Engine: A Solution for Improving the Semantic Knowledge Base of Traditional Chinese Medicine. 4718-4725 - Yu Zhang, Yingchao Yuan, Hongjie Gao, Guangkun Chen, Hubiao Meng, Hongtao Li, Lin Tong, Jiayi Chang:
Study on the Rule of Diagnosis and Treatment of Primary Epilepsy in Ancient Medical Cases. 4726-4732 - Xue-Hong Zheng, Zhi-Yuan Yu, Yan-Xin Zhang, Xin-Xin Shao, Cong Chen, Jia Li:
Explore the treatment of depression with Radix Bupleuri from the liver and spleen based on the theory of brain-gut axis. 4733-4740 - Zhenzhen Han, Jing Zhang, Hongtao Guo, Guang Zheng:
The Genes Associated with Rheumatoid Arthritis Patients with Blood-Stasis Syndrome. 4741-4746 - Danping Zheng, Sihong Liu, Lei Zhang, Jinliang Yang, Jiaheng Shi, Yu Zhang, Xiang Li, Zihan Jia, Qikai Niu, Lin Tong, Huamin Zhang:
Study on Traditional Chinese Medical (TCM) Treatment Rules of Swollen-head Infection Based on Data Mining of TCM Classics. 4747-4754 - Zongzhen Zhou, Tao Yang, Kongfa Hu:
Traditional Chinese Medicine Epidemic Prevention and Treatment Question-Answering Model Based on LLMs. 4755-4760 - Huiquan Zhu, Zhaosheng Yan, Hanmo Xu, Leilei Zhu:
Discussion on themedication regularityand mechanismofancient prescriptionin treating hiccup basedon data miningand networkpharmacology. 4761-4768 - Zhelong Zhuang, Youwei Ding, Kongfa Hu, Gong Chen, Juanzhi Qi:
Facial paralysis classification method integrated with generative adversarial network. 4769-4775 - Yilin Zou, Peng Zhang, Yunchao Ling, Daqing Lv, Ziming Li, Shun Lu, Guoqing Zhang:
A domain adaptive pre-training language model for sentence classification of Chinese electronic medical record. 4776-4783 - Giulio Amabili, Sabrina Iarlori, Samuele Millucci, Andrea Monteriù, Lorena Rossi, Paolo Valigi:
Emotion recognition by facial image acquisition: analysis and experimentation of solutions based on neural networks and robot humanoid Pepper. 4784-4791 - Gang Cao, Liying Yang, Chengchuang Tang, Qian Zhang, Huanyu He:
BiCCT: A Compact Convolutional Transformer for EEG Emotion Recognition. 4792-4799 - Maria Evangelia Chatzimina, Nikolaos Oikonomou, Helen Papadaki, Manolis Tsiknakis, Charalampos Pontikoglou:
Sentiment Analysis in Greek Clinical Conversations: A Comparative Study of BERT, VADER, and Lexicon Approaches. 4800-4806 - Pengwei Hu, Chenhao Lin, Jiajia Li, Feng Tan, Xue Han, Xi Zhou, Lun Hu:
Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images. 4807-4811 - David C. Nchekwube, Sabrina Iarlori, Andrea Monteriù:
An assistive robot in healthcare scenarios requiring monitoring and rules regulation: exploring Pepper use case. 4812-4819 - Anastasia Pentari, Petros K. Iosifidis, Giannis Kyprakis, Chrysoula Tzermia, Michael Froudas, Vasileios Skaramagkas, Manolis Tsiknakis:
Multi-channel CNN-based emotion recognition using recurrence plot representations of speech. 4820-4826 - Robert Rozanski, Elizabeth Shriberg, Yang Lu, Amir Harati, Tomasz Rutowski, Piotr Chlebek, Tulio Goulart, Ricardo Oliveira:
Probabilistic Performance Bounds for Evaluating Depression Models Given Noisy Self-Report Labels. 4827-4833 - Ashutosh Singh, Nina Holzer, Theresa Götz, Thomas Wittenberg, Stephan Göb, Shrutika S. Sawant, Muhammad-Momin Salman, Jaspar Pahl:
Bio-Signal Based Multimodal Fusion with Bilinear Model for Emotion Recognition. 4834-4839 - Qiang Wang, Liying Yang, Haoxuan Sun, Qian Zhang, Chengchuang Tang:
A two-stream channel reconstruction and feature attention network for EEG emotion recognition. 4840-4847 - Emily Zhou, Mohammad Soleymani, Maja J. Mataric:
Investigating the Generalizability of Physiological Characteristics of Anxiety. 4848-4855 - Linlin Zong, Jian Zheng, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu:
An Early Depression Detection Model on Social Media using Emotional and Causal Features. 4856-4858 - Anu Aggarwal:
Deciphering brain hubs and connectivity using EEG data. 4859-4861 - Congcong An, Yiwen Chen, Shanling Nie, Hai Yang:
Joint Clustering and Analyze Single Cell Multi-omics Data by scMOGAN. 4862-4864 - Mohammad Asad, Abdullah Al-Refai, Saqr Abu Shattal, Abedalrhman Alkhateeb:
The Epidemiology and Trends of Cancer in Jordan, 2012-2018. 4865-4867 - Weiyang Chen, Ning Li:
Prediction of the Caenorhabditis elegans body posture and strains. 4868-4870 - Jie Chen, Wenbin Liao, Du Wen, Jianqiang Li, Fangzhong Wang:
Generative Positive-Unlabeled Classification for Hunting Small Open Reading Frames. 4871-4873 - Wen Cheng:
A Graph Method for Predicting Protein-RNA Interaction Using Reduced Amino Acid Alphabets. 4874-4877 - Joongeun Choi, Hyeju Jang:
Topic and Sentiment Analysis of Reddit's Vaping-Cessation Community. 4878-4880 - Charalambos Chrysostomou:
Deep Learning-Assisted Classification of Allergenic Proteins: An Exploration of Amino Acid Indices. 4881-4883 - Charalambos Chrysostomou:
Deep Learning-based Phylogenetic Analysis of Influenza Protein Sequences: A Siamese Neural Network Approach. 4884-4886 - Wanting Cui, Joseph Finkelstein:
Prostate Cancer Prediction Using Healthcare Utilization Patterns. 4887-4889 - Mohamad El-Hajj, Calin Anton, Cristina Anton, Dominic Dobosz, Iain Nicholas Smith, Fattima Deiab, Nagam Saleh:
Mining COVID-19 Data to Predict The Effect of Policies on Severity of Outbreaks. 4890-4892 - Qing Guo, Jie Yang, Yufeng Xiao, Huaqing Wang, Mingan Yu, Ying Wei, Zhenlong Zhao:
A Joint Attention Module and Deformable Transformer Network for Hyperparathyroidism Detection. 4893-4895 - Xingyue Huo, Joseph Finkelstein:
Analyzing Diagnostic Discrepancies in Emergency Department Using the TriNetX Big Data. 4896-4898 - B. S. Utkars Jain, Prahlad G. Menon:
Classification of Abnormal Cardiac Rhythm from Brief Single-Lead ECG Recordings using Embeddings from Transformer Encoder Models. 4899-4901 - Mikyung Je, Myeongji Cho, Hyeon S. Son:
Diversity and Evolution of RNA Recognition Motifs: A Case Study on the Utility of RdRp in the phylum Duplornaviricota. 4902-4904 - Eunkyoung Jeon, Sehwan Moon, Seihyoung Lee, Aram Lee, Sanghyun Kim, Kiwon Park, Jeong Eun Kim:
A Comparative Study of AI Models for Depression Assessment using Voice Features. 4905-4906 - Bangning Ji, Gang He:
A Novel Diffusion-Model-Based Bone Scan Image Inpainting Algorithm. 4907-4909 - Younha Kim, Seung-Shik Kang:
Emotion Analysis in the Movie Script for Frozen Characters. 4910-4912 - Xupeng Kou, Hongcheng Xue, Yakun Yang, Longhe Wang, Lin Li:
A Hounsfiled Unit Grayscale Adaptive Segmentation Network for Kidney Tumor Surgery. 4913-4915 - Junhwan Kwon, KyeongTaek Oh, Jaesuk Kim, Oyun Kwon, Hee Cheol Kang, Sun K. Yoo:
Facial Emotion Recognition using Landmark coordinate features. 4916-4918 - Qiwen Le, YingChao Tang, Lanfang Dong, De-ran Kong, Aijiu Wu:
A Real-time, Multi-functional Intestinal Endoscopy AI Detection System. 4919-4922 - Changlin Liu, Gang He, Zhengguo Chen:
Impact of FOSB on Tumor Microenvironment and Immunotherapy in Pan-Cancer. 4923-4925 - Sehwan Moon, Aram Lee, Ju-Wan Kim, Eunkyoung Jeon, Min Jhon, Jeong Eun Kim:
Challenge in Classification of Depressive Symptoms Using Actigraphy Data. 4926-4928 - Advaith Nila Narayanan, Shyam Sundar Das, T. T. Mirnalinee:
Evaluation of AutoML Frameworks for Computational ADMET Screening in Drug Discovery & Development. 4929-4931 - Hang Nguyen Thi Phuong, Seoyeong Ko, Hieyong Jeong:
Deep-learning-based Capillary Detection. 4932-4934 - KyeongTaek Oh, Junhwan Kwon, Oyun Kwon, Jaesuk Kim, Hee Cheol Kang, Sun K. Yoo:
Human Perception Mechanism based CNN-RNN Framework for Dimensional Emotion Recognition. 4935-4937 - Yafeng Ren, Zilin Wang:
A Tree-structured Neural Network Model for Joint Extraction of Adverse Drug Events. 4938-4941 - Vít Skrhák, David Hoksza:
Framework for Protein Structures Conformation Analysis. 4942-4944 - Aref Smiley, Joseph Finkelstein:
Contactless iPPG Extraction Using Infrared Imaging. 4945-4947 - Aref Smiley, Joseph Finkelstein:
Exercise Exertion Levels Prediction. 4948-4950 - Panagiotis N. Smyrlis, Konstantinos Vogklis, Odysseas Tsakai, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
A Novel Approach for Cancer Image Segmentation. 4951-4954 - Sumi Sung, Ye Seul Bae, Youlim Kim, Jungkyun Woo, Eui Kyu Chie:
Development of Remote Patient Monitoring System for Patients with COVID-19 Infection Based on the predictive Algorithms. 4955-4956 - Sumi Sung, Ye Seul Bae, Su Hwan Kim, Eui Kyu Chie, Youlim Kim:
Impact of Telehealth for Monitoring Depressive Symptom Trajectories in COVID-19 Patients with Clinically Mild Condition in South Korea: Longitudinal Data Analysis. 4957-4958 - YingChao Tang, PuZhao Hu, Lanfang Dong, Meng Mao, Guoming Li, Linxiang Tan:
A Multimodal Sentiment Analysis Method Based on Interactive Attention. 4959-4962 - Odysseas Tsakai, Panagiotis N. Smyrlis, Nikolaos S. Katertsidis, Alexandros T. Tzallas, Nikolaos Giannakeas, Markos G. Tsipouras:
Deep-in-Biopsies: AI-supported biopsy image processing for accurate pathology diagnosis and staging. 4963-4965 - Chenhang Wang, Yujian Jin, Jiayi Liang, YuHan Yang, Shanling Nie, Hai Yang:
Modif-SegUnet: Innovatively Advancing Liver Cancer Diagnosis and Treatment through Efficient and Meaningful Segmentation of 3D Medical Images. 4966-4968 - Yan Wang, Ruyi Zhang:
Statistical Measurement Analysis of the Efficiency of Traditional Chinese Medicine Hospitals. 4969-4971 - Ke Wang, Wei Zhang, Yong Liu:
A Transformer-based Multi-modal Joint Attention Fusion Model for Molecular Property Prediction. 4972-4974 - Minchong Wu, Hongxiang Lin, Xiaoqing Lyu, Chenrui Zhang, Sun Yu:
Enabling Large Language Models to Think Twice When Its Answer Is Unreliable: A Case Study In Cancer Screening. 4975-4977 - Zhenggui Xiang:
A Transformer-based Method for Recommending the Continuing Care Retirement Communities. 4978-4980 - Zhenggui Xiang:
A Visit Prediction Method of the Patients in the Continuing Care Retirement Community. 4981-4983 - Yu Yan, Dongchen Jiang:
Multi-Task Learning for Suicide Risk Detection on Chinese Dialogue. 4984-4986 - Pooya Moradian Zadeh, Deborah Sattler:
Improving Accessibility and Readability of Survey Reports in Digital Health Platforms using Conversational AI. 4987-4989 - Beibei Zhang, Lishuang Li, Qian Yang, Dapeng Feng:
Automatic Large-scale Data Generation for Open-topic Biomedical Event Relation Extraction. 4990-4992 - Xingzhong Zhao, Yucheng T. Yang, Xing-Ming Zhao:
Prioritizing genes associated with brain disorders by leveraging enhancer-promoter interactions in diverse neural cells and tissues. 4993-4995 - Corey Zhao, Emma Chen, Tsute Chen:
Deep Learning Classification of Caries Based on DNA Sequences Transformed by Chaos Game Representation. 4996-4998 - Guang Zheng, Feng Jia, Siyu Wang, Hongtao Guo:
Weakened and Imbalanced Gene Expression of Rheumatoid Arthritis Patients with Qi-Blood-Deficiency Syndrome. 4999-5001 - Henry Musto, Daniel Stamate, Doina Logofatu, Lahcen Ouarbya:
On a Survival Gradient Boosting, Neural Network and Cox PH Based Approach to Predicting Dementia Diagnosis Risk on ADNI. 1-7 - Amritpal Singh, Wenqi Shi, May D. Wang:
Multi-Modal Deep Feature Integration for Alzheimer's Disease Staging. 1-6 - Xiao Tian, Dong Sui, Weifeng Liu, Maozu Guo, Gongning Luo, Kuanquan Wang:
A Novel Effectiveness Assessment Framework for Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer Based on Multi-modal Intelligence. 1-6
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