Glad to be back in London and talk about AI at #CMR2024

Get to know Clara💡 In her research, Clara Sophie Vetter wants to find out how depression and psychosis are linked - with the help of #AI. Read the full article (in German): mcml.ai/news/intern/20… This article was written by Ida Morganti from Deutsche Journalistenschule!!👏

Earlier this week, our relAI fellows Julia Schnabel and Alena Buyx participated in a panel discussion on the future of AI in Medicine, hosted by Bayerische Akademie der Wissenschaften and Süddeutsche Zeitung. Watch the recording here: vimeo.com/920482292. Gitta Kutyniok Stephan Günnemann. Photo: baiosphere

Early Access Paper Just Posted: Motion-compensated MR CINE reconstruction with reconstruction-driven motion estimation: a more accurate, efficient and unified solution. Read the paper: ieeexplore.ieee.org/abstract/docum…

Great talk by Jakob Nikolas Kather on AI in oncology at #ETIM2024

New article: "Federated learning is not a cure-all for data ethics" out in Nature Machine Intelligence rdcu.be/dBBx3 Led by Marieke Bak with colleagues #VinceMadai #LeoAnthonyCeli MIT Critical Data Georgios Kaissis Ronald Cornet #MennoMaris Daniel Rueckert Alena Buyx

Early Access Paper Just Posted: Attention-aware non-rigid image registration for accelerated MR imaging. Read the paper: ieeexplore.ieee.org/document/10491…

Returning from a great #ISMRM2024 in Singapore

New paper alert! We’re excited to present our work on distribution shift detection for the postmarket surveillance of medical AI algorithms, which just appeared in npj Digital Medicine . Joint work with Christian Baumgartner and Philipp Berens

An unforgettable social event with Neuro MR Munich Daniel Rueckert Julia Schnabel

#MULTIfact PI team ready to start the ERA Net Neuron Midterm symposium JTC2012 in Berlin #fetalMRi #fetalbrain

🩺Nassir Navab's team is developing robotic #ultrasound systems to assist doctors in routine examinations and surgeries. Learn how this technology can improve the practice of medicine: go.tum.de/837799 #Healthcare #AI #Robotics #MedicalTech 📷F. Vogel

📢Call for Papers! Submit Your Paper to the MMMI/ML4MHD Workshop at #MICCAI2024🎉 🌐 mmmi2024.github.io 🎉 Some News!! -> Deadline Extended! 🗓️ New Submission Deadline: June 24th 📍 Location: Marrakesh 🇲🇦 #MMMI_ML4MHD #MedicalImaging #AIForHealth #Sensing

Got an excellent paper rejected at #MICCAI? Submit Your Paper now to the MMMI/ML4MHD Workshop at #MICCAI2024🎉 🌐 mmmi2024.github.io 🗓️ Submission Deadline: June 24th 📍 Location: Marrakesh 🇲🇦 #MMMI_ML4MHD #MedicalImaging #AIForHealth #Sensing

Check out our latest paper in Nature Machine Intelligence in which we show that privacy-preserving AI can reconcile privacy and accuracy in medical imaging: nature.com/articles/s4225…

Some impressions from this year's MCML #MunichAIDay2024!

Great to see our work on the limitations of large language models in clinical decision-making appearing in Nature Medicine. Thanks to a fantastic set of collaborators! nature.com/articles/s4159…

Truth: "State of the art LLMs don't accurately diagnose patients (performing worse than physicians), don't follow guidelines, cannot interpret lab results, fail to follow instructions, and are sensitive to both the quantity and order of information." nature.com/articles/s4159…

Interested in applying AI and ML to problems in medicine and healthcare? Join AIMLabTUM as a post-doctoral researcher! For more details check this out: portal.mytum.de/jobs/wissensch…

Weakly supervised ROI proposal networks (WSRPN) provide a fully differentiable way to train object detection models with image-level labels only. They significantly improve over the previous state-of-the-art in pathology detection on chest radiographs. ieeexplore.ieee.org/document/10613…