A Review of Medical Federated Learning: Applications in Oncology and Cancer Research. - Alexander Chowdhury; Hasan Kassem; Nicolas Padoy; Renato Umeton; Alexandros Karargyris (BrainLes@MICCAI (1), 2021)

Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases. - Hasan Kassem; Deepak Alapatt; Pietro Mascagni; AI4SafeChole Consortium; Alexandros Karargyris; Nicolas Padoy (CoRR, 2022)

Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases. - Hasan Kassem; Deepak Alapatt; Pietro Mascagni; Alexandros Karargyris; Nicolas Padoy (IEEE Trans. Medical Imaging, 2023)

Federated benchmarking of medical artificial intelligence with MedPerf. - Alexandros Karargyris; Renato Umeton; Micah J. Sheller; Alejandro Aristizabal; Johnu George; Anna Wuest; Sarthak Pati; Hasan Kassem; Maximilian Zenk; Ujjwal Baid; Prakash Narayana Moorthy; Alexander Chowdhury; et al. (Nat. Mac. Intell., 2023)

BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions. - Spyridon Bakas; Siddhesh P. Thakur; Shahriar Faghani; Mana Moassefi; Ujjwal Baid; Verena Chung; Sarthak Pati; Shubham Innani; Bhakti Baheti; Jake Albrecht; Alexandros Karargyris; Hasan Kassem; et al. (CoRR, 2024)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - Dominic LaBella; Katherine Schumacher; Michael Mix; Kevin Leu; Shan McBurney-Lin; Pierre Nedelec; Javier E. Villanueva-Meyer; Jonathan Shapey; Tom Vercauteren; Kazumi Chia; Omar Al-Salihi; Justin Leu; et al. (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (CoRR, 2024)