Great workshop on AI and medical imaging with BioMedIA Imperial and AIMLabTUM.

Great retreat with colleagues from AIMLabTUM and BioMedIA Imperial in the Austrian Alps discussing many topics around AI in medicine

I'm very pleased to announce that I've accepted a Principal Investigator Position for Reliable AI at Helmholtz Zentrum Munich! I'll be working with the amazing Julia Schnabel and I'm recruiting a PostDoc in Trustworthy AI: jobs.helmholtz-muenchen.de/jobposting/a67…

Great kick-off meeting for the #MultiFact project funded by ERA Net Neuron which aims to improve the diagnosis of abnormal fetal cortical development using MRI and AI. Looking forward to working with fantastic colleagues.

TU München Looking forward to work with brilliant colleagues from Informatics, Mathematics and Medicine at @TUM to develop new approaches for data-driven healthcare including Alena Buyx gagneurlab Nassir Navab Julia Schnabel Fabian Theis Eleftheria Zeggini

If you're interested in doing a PhD or PostDoc in privacy-preserving and trustworthy AI in wonderful Munich, I have two fully funded positions available right now at Helmholtz Munich | @HelmholtzMunich! Check out jobs.helmholtz-muenchen.de/jobposting/a67…

Very happy to talk about AI in Medicine at the kickoff of #mcml TU München Universität München

Just returned from #MICCAI2022. Had an amazing time with our researchers from AIMLabTUM and BioMedIA Imperial. Thanks to everybody, especially the organisers and MICCAI!

Looking forward to speak about #AI in #oncology at the "Digital health summit" in Munich next week digitalhealthsummit.de/agenda/ - thank you for the invitation Daniel Rueckert @TUM AIMLabTUM 🤖🏥

Check out our latest work that just got accepted to MedIA. We show how to solve the inverse problem for brain tumor modeling in a couple of minutes instead of weeks. Paper: sciencedirect.com/science/articl… Code: github.com/IvanEz/learn-m…

How can physicians help patients suffering from #MentalHealth disorders like #ChronicPain, #Depression & #Stroke? An interdisciplinary team of researchers TU München develops new methods to investigate the #NeuronalPatterns underlying these conditions🧠research-in-bavaria.de/neurosciences/…

The Munich Center for Machine Learning - short MCML - is on Twitter😎 MCML is one of six national #AI competence centers in Germany. The goal: strenghten research in the field of AI and making potentials accessible to user in #Science, #Industry and #Society!

Great kickoff by Guang Yang at our workshop on trustworthy AI jointly organised by AIMLabTUM BioMedIA Imperial

Kicking off the afternoon session of the AIMLabTUM BioMedIA Imperial workshop on trustworthy AI for Medicine with a great talk by Ben Glocker

Exciting opportunity to join our team BioMedIA Imperial Imperial Computing as part of our large European collaboration AI-POD Project. Help us develop novel approaches for predicting individual risk of cardiovascular disease. Job advert: jobs.ac.uk/job/DBB546/res…

Second day of our AIMLabTUM BioMedIA Imperial workshop on trustworthy AI in medicine kicking off with a keynote by Daniel Alexander on image quality transfer and the democratisation of MRI

Saman Saghafi and Theresa Willem opening the discussion on the ethical issues of trustworthy AI in medicine BioMedIA Imperial AIMLabTUM

Andy King speaking on trust in AI for cardiology at the AIMLabTUM BioMedIA Imperial workshop on trustworthy AI for medicine

Check out our new paper “Robust Detection Outcome” (RoDeO) at MIDL 2023 this week. Also, check out Buck’s presentation! Presentation: youtu.be/H8SH0tGkABE Paper: openreview.net/forum?id=zyiJi… Code: github.com/FeliMe/RoDeO Georgios Kaissis Daniel Rueckert

📢 Join me at 9:15 pm CEST at #MIDL2023 and discover how our new method RA (ci.bercea.net/project/ra/) pushes the boundaries of Unsupervised Anomaly Detection.🧠🔬. Join me for insightful discussions, and if you're in Nashville, let's connect! 🤝 #AnomalyDetection #MedicalImaging