The Beauty or the Beast: Which Aspect of Synthetic Medical Images Deserves Our Focus? - Xiaodan Xing; Yang Nan 002; Federico Felder; Simon Walsh; Guang Yang 006 (CBMS, 2023)

You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. - Xiaodan Xing; Federico Felder; Yang Nan 002; Giorgos Papanastasiou; Simon Walsh; Guang Yang 006 (MICCAI (5), 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)

Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method. - Shiyi Wang; Yang Nan 002; Sheng Zhang 024; Federico Felder; Xiaodan Xing; Yingying Fang; Javier Del Ser; Simon L. F. Walsh; Guang Yang 006 (Artif. Intell. Medicine, 2024)

Make it more specific: A novel uncertainty based airway segmentation application on 3D U-Net and its variants. - Shiyi Wang; Yang Nan 002; Federico N. Felder; Sheng Zhang 024; Simon L. F. Walsh; Guang Yang 006 (CoRR, 2024)

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)