"Reproducibility and Federated Learning" Deep learning methods are becoming increasingly popular in medical image analysis. Their performance, however, heavily depends on availability, diversity, and quality of the data. In this episode, Sanam Assili and Egor Panfilov discuss with Francesco Santini current issues in medical image segmentation, federated learning as a promising solution, and recently introduced open source Dafne framework. Dafne is a joint effort by the University of Basel, the Basel University Hospital, and the Mondino Foundation, more information is available here: https://dafne.network/ Dafne Tutorial - Introduction: https://www.youtube.com/watch?v=TitUKqnXXJw Outline: 00:00 Introduction 01:23 Segmentation and reproducibility 05:58 Federated learning introduction 07:08 Legal / Data 15:40 Commercial 18:30 Dafne framework 28:40 About MRI together workshop