SD-Unet: A Structured Dropout U-Net for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yang Pei; Yugen Yi; Wei Zhou 003 (BIBE, 2019)

Construction of Asthma Local Gene Network for Revealing its Relationship with Nutrient Metabolism Modules. - Ruxin Li; Yu Yang; Xianlei Xu; Renhan Li; Yuchen Yang; Zhizhou Zhang; Changlu Guo (BIBE, 2020)

Dense Residual Network for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yugen Yi; Ying Xue; Wei Zhou 003; Yangyuan Li (ICASSP, 2020)

Residual Spatial Attention Network for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yugen Yi; Wei Zhou 003; Haodong Bian (ICONIP (1), 2020)

SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yugen Yi; Wenle Wang; Buer Chen; Changqi Fan (ICPR, 2020)

Channel Attention Residual U-Net for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yugen Yi; Wei Zhou 003 (CoRR, 2020)

Preliminary Study of Local Gene Network in Epilepsy. - Tianhe Zhang; Le Ao; Bo Sun; Chuyi Zhang; Wenqing Su; Xingfeng Du; Changlu Guo; Yu Yang (BIBE, 2021)

Channel Attention Residual U-Net for Retinal Vessel Segmentation. - Changlu Guo; Márton Szemenyei; Yangtao Hu; Wenle Wang; Wei Zhou 003; Yugen Yi (ICASSP, 2021)

Minimizing false negative rate in melanoma detection and providing insight into the causes of classification. - Ellák Somfai; Benjámin Baffy; Kristian Fenech; Changlu Guo; Rita Hosszú; Dorina Korózs; Fabrizio Nunnari; Marcell Pólik; Daniel Sonntag; Attila Ulbert; András Lorincz (CoRR, 2021)

Channel Attention Separable Convolution Network for Skin Lesion Segmentation. - Changlu Guo; Jiangyan Dai; Márton Szemenyei; Yugen Yi (ICONIP (3), 2023)

Iterative prior-guided parcellation (iPGP) for capturing inter-subject and inter-nuclei variability in thalamic mapping. - Chaohong Gao; Xia Wu; Liang Ma; Deying Li 004; Yufan Wang; Changlu Guo; Wen Li; Haiyan Wang; Congying Chu; Kristoffer Hougaard Madsen; Lingzhong Fan (NeuroImage, 2025)

Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation. - Changlu Guo; Anders Nymark Christensen; Morten Rieger Hannemose (CoRR, 2025)