Deep Learning

The 6-year, €70 million project called BIGPICTURE will herald a new era in pathology

Deep unsupervised representation learning has recently led to new approaches in the field of Unsupervised Anomaly Detection (UAD) in brain MRI. The main principle behind these works is to learn a model of normal anatomy by learning to compress and …

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.

Learning discriminative powerful representations is a crucial step for machine learning systems. Introducing invariance against arbitrary nuisance or sensitive attributes while performing well on specific tasks is an important problem in …

One of our recent and promising projects.

Crowdsourcing, Gamification

Manifold Learning, Graph Convolutional Networks

Domain Adaptation, Style Transfer

Meta-Learning, Few-Shot Learning