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2020 – today
- 2025
[j1]Chaohong Gao, Xia Wu, Liang Ma, Deying Li, Yufan Wang, Changlu Guo, Wen Li, Haiyan Wang, Congying Chu, Kristoffer Hougaard Madsen
, Lingzhong Fan:
Iterative prior-guided parcellation (iPGP) for capturing inter-subject and inter-nuclei variability in thalamic mapping. NeuroImage 318: 121399 (2025)- [c9]Changlu Guo, Anders Nymark Christensen, Morten Rieger Hannemose:
Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation. DGM4MICCAI@MICCAI 2025: 57-66 - [i8]Changlu Guo, Anders Nymark Christensen, Morten Rieger Hannemose:
Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation. CoRR abs/2506.20449 (2025) - [i7]Changlu Guo, Anders Nymark Christensen, Anders Bjorholm Dahl, Yugen Yi, Morten Rieger Hannemose:
SA-UNetv2: Rethinking Spatial Attention U-Net for Retinal Vessel Segmentation. CoRR abs/2509.11774 (2025) - 2023
- [c8]Changlu Guo, Jiangyan Dai, Márton Szemenyei, Yugen Yi:
Channel Attention Separable Convolution Network for Skin Lesion Segmentation. ICONIP (3) 2023: 385-398 - [i6]Changlu Guo, Jiangyan Dai, Márton Szemenyei, Yugen Yi:
Channel Attention Separable Convolution Network for Skin Lesion Segmentation. CoRR abs/2309.01072 (2023) - 2021
- [c7]Tianhe Zhang, Le Ao, Bo Sun, Chuyi Zhang, Wenqing Su, Xingfeng Du, Changlu Guo, Yu Yang:
Preliminary Study of Local Gene Network in Epilepsy. BIBE 2021: 10:1-10:4 - [c6]Changlu Guo, Márton Szemenyei, Yangtao Hu, Wenle Wang, Wei Zhou, Yugen Yi:
Channel Attention Residual U-Net for Retinal Vessel Segmentation. ICASSP 2021: 1185-1189 - [i5]Ellák Somfai, Benjámin Baffy, Kristian Fenech, Changlu Guo, Rita Hosszú, Dorina Korózs, Fabrizio Nunnari, Marcell Pólik, Daniel Sonntag, Attila Ulbert, András Lorincz:
Minimizing false negative rate in melanoma detection and providing insight into the causes of classification. CoRR abs/2102.09199 (2021) - 2020
- [c5]Ruxin Li, Yu Yang, Xianlei Xu, Renhan Li, Yuchen Yang, Zhizhou Zhang, Changlu Guo:
Construction of Asthma Local Gene Network for Revealing its Relationship with Nutrient Metabolism Modules. BIBE 2020: 18:1-18:6 - [c4]Changlu Guo, Márton Szemenyei, Yugen Yi, Ying Xue, Wei Zhou, Yangyuan Li:
Dense Residual Network for Retinal Vessel Segmentation. ICASSP 2020: 1374-1378 - [c3]Changlu Guo, Márton Szemenyei, Yugen Yi, Wei Zhou, Haodong Bian:
Residual Spatial Attention Network for Retinal Vessel Segmentation. ICONIP (1) 2020: 509-519 - [c2]Changlu Guo, Márton Szemenyei, Yugen Yi, Wenle Wang, Buer Chen, Changqi Fan:
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation. ICPR 2020: 1236-1242 - [i4]Changlu Guo, Márton Szemenyei, Yugen Yi, Wenle Wang, Buer Chen, Changqi Fan:
SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation. CoRR abs/2004.03696 (2020) - [i3]Changlu Guo, Márton Szemenyei, Yugen Yi, Ying Xue, Wei Zhou, Yangyuan Li:
Dense Residual Network for Retinal Vessel Segmentation. CoRR abs/2004.03697 (2020) - [i2]Changlu Guo, Márton Szemenyei, Yugen Yi, Wei Zhou:
Channel Attention Residual U-Net for Retinal Vessel Segmentation. CoRR abs/2004.03702 (2020) - [i1]Changlu Guo, Márton Szemenyei, Yugen Yi, Wei Zhou, Haodong Bian:
Residual Spatial Attention Network for Retinal Vessel Segmentation. CoRR abs/2009.08829 (2020)
2010 – 2019
- 2019
- [c1]Changlu Guo, Márton Szemenyei, Yang Pei, Yugen Yi, Wei Zhou:
SD-Unet: A Structured Dropout U-Net for Retinal Vessel Segmentation. BIBE 2019: 439-444
Coauthor Index
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