Medical Imaging

Organ segmentation in CT volumes is an important pre-processing step in many computer assisted intervention and diagnosis methods. In recent years, convolutional neural networks have dominated the state of the art in this task. However, since this …

Organizers: Dr. Shadi Albarqouni, Helmholtz AI and TU Munich, and Prof. Nassir Navab, TU Munich. Announcements - 17-12-2020: The deadline to submit the blog post is moved to 1st. Feb. 2021.

This 5 years Helmholtz funded project to advance the field with Federated Learning algorithms in Medicine (2020-2025)

This 5 years Helmholtz funded project to advance the field with Federated Learning algorithms in Medicine (2020-2025)

Crowdsourcing, Gamification

Manifold Learning, Graph Convolutional Networks

Domain Adaptation, Style Transfer

Meta-Learning, Few-Shot Learning

Interpretable ML, Disentangled Representation, Fairness

Detection, Classification, Segmentation, Anomaly Detection, Semi-/Weakly-Supervised Learning