Deep Learning

Organizers: Dr. Shadi Albarqouni, Helmholtz AI and TU Munich, Prof. Nassir Navab, Chair for Computer Aided Medical Procedures, and Prof. Daniel Rueckert, Chair for AI in Medicine, TU Munich Time: Fridays, 10:00 - 12:00

The 6-year EU Funded €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 …

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