Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. - Yingda Xia; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Daguang Xu; Hirofumi Obinata; Hitoshi Mori; Peng An; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (CoRR, 2021)

Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence. - Alice Scarabelli; Massimo Zilocchi; Elena Casiraghi; Pierangelo Fasani; Guido Giovanni Plensich; Alessandro Andrea Esposito; Elvira Stellato; Alessandro Petrini; Justin T. Reese; Peter N. Robinson; Giorgio Valentini; Gianpaolo Carrafiello (J. Imaging, 2021)

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. - Dong Yang 005; Ziyue Xu 001; Wenqi Li 001; Andriy Myronenko; Holger R. Roth; Stephanie A. Harmon; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Xiaosong Wang 001; Wentao Zhu 001; Gianpaolo Carrafiello; et al. (Medical Image Anal., 2021)

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. - Paolo Soda; Natascha Claudia D'Amico; Jacopo Tessadori; Giovanni Valbusa; Valerio Guarrasi; Chandra Bortolotto; Muhammad Usman Akbar; Rosa Sicilia; Ermanno Cordelli; Deborah Fazzini; Michaela Cellina; Giancarlo Oliva; et al. (Medical Image Anal., 2021)

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. - Pengfei Guo; Dong Yang 005; Ali Hatamizadeh; An Xu; Ziyue Xu 001; Wenqi Li 001; Can Zhao 001; Daguang Xu; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (ECCV (21), 2022)