Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives. - Yinzhe Wu 001; Zeyu Tang 001; Binghuan Li; David N. Firmin; Guang Yang 006 (CoRR, 2021)

Human treelike tubular structure segmentation: A comprehensive review and future perspectives. - Hao Li 082; Zeyu Tang 001; Yang Nan 002; Guang Yang 006 (Comput. Biol. Medicine, 2022)

Enhancing Super-Resolution Networks through Realistic Thick-Slice CT Simulation. - Zeyu Tang 001; Xiaodan Xing; Guang Yang 006 (CoRR, 2023)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (CoRR, 2023)

Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels. - Ming Li 005; Yingying Fang; Zeyu Tang 001; Chibudom Onuorah; Jun Xia 002; Javier Del Ser; Simon Walsh; Guang Yang 006 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Corrigendum to 'Human treelike tubular structure segmentation: A comprehensive review and future perspectives'[Comput. Biol. Med., Vol.151 (Pt A), 2022, p.106241-106241]. - Hao Li 082; Zeyu Tang 001; Yang Nan 002; Guang Yang 006 (Comput. Biol. Medicine, 2023)

Adversarial Transformer for Repairing Human Airway Segmentation. - Zeyu Tang 001; Yang Nan 002; Simon Walsh; Guang Yang 006 (IEEE J. Biomed. Health Informatics, 2023)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (Medical Image Anal., 2024)

Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. - Yang Nan 002; Javier Del Ser; Zeyu Tang 001; Peng Tang; Xiaodan Xing; Yingying Fang; Francisco Herrera; Witold Pedrycz; Simon Walsh; Guang Yang 006 (IEEE Trans. Neural Networks Learn. Syst., 2024)

From challenges and pitfalls to recommendations and opportunities: Implementing federated learning in healthcare. - Ming Li 005; Pengcheng Xu; Junjie Hu; Zeyu Tang 001; Guang Yang 006 (Medical Image Anal., 2025)