Deep Learning

Development of a Deep Learning Toolkit for MRI-Guided Online Adaptive Radiotherapy

The 3-year DFG Funded project with LMU and TU Munich (2022-2025)

Invited Talk at AI 4 Imaging

I will deliver a talk in Federated Deep Learning in Healthcare

Organizing the 2nd version of the MICCAI Workshop on aFfordable AI and healthcare

Co-Organizing the 10. DFG-#Nachwuchsakademie

We had a wonderful week (10. DFG-#Nachwuchsakademie) with many insightful talks and fruitful discussions at the Schloss Birlinghoven! 20 participants with medical and technical backgrounds, from all over Germany, came together to learn about #AI in #Medicine!

What can we learn about a generated image corrupting its latent representation?

Generative adversarial networks (GANs) offer an effective solution to the image-to-image translation problem, thereby allowing for new possibilities in medical imaging. They can translate images from one imaging modality to another at a low cost. For …

Organizing a workshop on the Next Generation of AI in Medicine

Affordable AI and Healthcare

We are also interested in developing affordable AI solutions suitable for poor-quality data generated by low infrastructure and point-of-care diagnosis.

Organizing the 1st MICCAI Workshop on aFfordable AI and healthcare

Seminar: Federated Learning in Healthcare (SoSe2021)

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

BigPicture Project

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