The annual conference of the @miccaisociety.bsky.social is in 3 days! 🗓️ Our lab is excited to present 8 papers exploring advancements in AI for medical imaging 🧠🩻 Stop by our posters & presentations to learn more! ➡️ conferences.miccai.org/2025/ Overview of our papers in the thread below 🧵⤵️

🩻 Are you a student at @tum.de and interested in AI and medicine? Make sure to check out our courses for the upcoming winter semester! Practical: Applied Deep Learning in Medicine (IN2106, IN4314) Lecture: Artificial Intelligence in Medicine (IN2403) ...

🚀 Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond. We introduce ViTa, a multi-view, multi-modal, multi-task model for cardiac MRI. 🧵 1/3

🔃 We're moving beyond traditional benchmarking for LLMs. 🚩 Meet Dynamic, Automatic & Systematic (DAS) Red-Teaming from Jiazhen Pan and Bailiang Jian together with great collaborators! #AIMresearch 🧵 1/4

🤔 Ever wondered what a ‘reference brain’ would look like for your own demographic group? @starcksophie.bsky.social and @siderilampretsa.bsky.social, together with some amazing colleagues, have developed a novel diffusion-based approach for this. But how does this work? #AIMresearch 1/3

I am happy to announce that I have started a postdoc position at @aim-lab.bsky.social and @munichcenterml.bsky.social, Technical University of Munich under the supervision of @danielrueckert.bsky.social. Looking forward to this new chapter 🥨🎓

Last week, we had the pleasure of hosting Prof. @clemensdlaska.bsky.social and part of his research team: Nadja Gruber (PhD), Angus Nicolson (PhD), and Riccardo Lunelli. Prof. Dlaska gave a talk on "Digital Cardiology: From Benchmarks to Bedside". #AIMnews #DigitalCardiology

Huge and well-deserved congratulations to Philip Müller on successfully completing his doctoral journey in our lab! 🎊 Philip’s dedication and innovative research have led to significant contributions in localized image-text learning for chest X-rays. scholar.google.com/citations?us...

As part of Daniel Rückert's team, our #PhDcandidate Vasiliki Sideri-Lampretsa uses #AI and high-performance #computing to analyze MRI & CT scans, tracking lung movement and detecting #diseasepatterns: go.tum.de/395577 #clinicalpractice 📷A.Eckert

As of yesterday, our research team gathered for a 4-day work retreat in Obertraun, Austria. It was a fantastic opportunity to connect through meaningful keynotes, strategy sessions, team-building activities, sports, and even a (legendary!) pub quiz. #WorkRetreat #StrategySessions #SocialActivities

We recently had the privilege of hosting George Kaissis as a guest speaker in our Multimodal Deep Learning lecture at @tum.de. George, currently at Google DeepMind, guided us from the first principles to the state of the art in AI video generation. #Teaching #MultimodalDeepLearning

Our PhD students, Alina D. and @luciehuang.bsky.social, are participating in #ICVSS2025. During the poster session, Alina presented her research on parametric shape models of 3D vessels learned from segmentations using differentiable voxelization (arxiv.org/pdf/2507.02576).

One year ago, @martinmenten.bsky.social established the AI for Vision group at our chair. 🎉 Supported by funding from the Emmy Noether Programme of the @dfg.de and the @munichcenterml.bsky.social , the group has since grown to six researchers! 1/2

Groundbreaking ceremony complete for the new Zentrum für Digitale Medizin und Gesundheit (#ZDMG)! This interdisciplinary research center is a major step in further strengthening digital medicine research & developing future clinical approaches @tum.de. 🎉

Pizza + Sunshine + Good Company = Optimal Setting for our lab‘s summer fest today! ☀️🍕 #VitaminD

Responsible medical AI demands patient-level privacy. Our recent #TPDP '25 paper extends Differential Privacy #DP beyond individual data points to protect entire patient profiles. 🧠 📄 Read the paper: tinyurl.com/k9fz456a 🎥 Watch the video: tinyurl.com/2jx528m5

Going to be at CVPR the next couple of days presenting our paper „A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets“. arxiv.org/abs/2503.17024 Always happy to meet anyone working on representation learning or tabular DL and medical data

Huge congratulations to Jiazhen on successfully completing his doctoral journey in our lab! 🎉 His work and dedication have resulted in great contributions to cardiac MRI reconstruction for faster and higher-quality imaging. Good luck on your future endeavors, JZ!

If you're at #IPMI in Greece 🇬🇷 right now, make sure to check out 2 works of our group tomorrow, Thursday! Alex and Laurin are discussing pitfalls in their research on topology-aware image segmentation... (1/2) arxiv.org/abs/2412.14619

We are incredibly proud of Prof @danielrueckert.bsky.social for being elected as Fellow of the Royal Society! Well deserved and a testament to your dedication to research 🎉

#ISMRM 2025 took place this week, and here is a brief recap of our PhD students' presentations. 1/n #CardiacMRI #ImplicitNeuralRepresentations #RepresentationLearning

We had the pleasure of hosting Thomas Hadler from Charité - Universitätsmedizin Berlin and Kirsten Maas from @tue.nl in our lab this week. Both gave insightful talks on their research.

Huge congratulations to Felix Meissen on successfully completing his doctoral journey in our lab! 🎉 His hard work and dedication have paid off and represented contributions to medical pathology detection using weak supervision in Machine Learning. We wish him all the best in his future projects.

Are you working with datasets that follow the Brain Imaging Data Structure (BIDS) naming convention? If so, you may want to try TPTBox, a toolbox developed by our PhD students Hendrik Möller and Robert Graf. It offers a wide variety of tools for working with NIfTI files. github.com/Hendrik-code...

Lisa Steinhelfer and Friederike Jungmann found that certain #cancertherapies can cause early #kidneydamage, detectable via #AI-analyzed #CTscans. This allows timely treatment adjustments: go.tum.de/787388 #cancertreatment #kidneyfunction 📷A.Eckert

#ICLR 2025 has concluded, and here is a brief recap of our PhD students' presentations. Alexander Berger and Laurin Lux presented their work on topology-preserving image segmentation, while Johannes Kaiser discussed his work on data attribution. For details, check out our previous two posts.

Data attribution is crucial for debugging models and detecting low quality data (spotting mislabeled samples, bias etc.). But many methods aren't mathematically sound and don’t scale. But how could we improve this for large models? 1/n

Topological accuracy in image segmentation is crucial for many tasks - such as blood flow or functional brain analysis. Yet, most models disregard this structural integrity during training, leading to potential inaccuracies in critical analyses. But how could we address this issue? 1/n

Looking for MRI spine segmentation? Try SPINEPS, a state-of-the-art framework for automatic spine segmentation by our PhD student, Hendrik Möller. It annotates 14 structures both semantically and instance-wise, simplifying downstream analysis. github.com/Hendrik-code...

Excited to share: “A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets” has been accepted to #CVPR2025! 🎉 Paper: lnkd.in/esKRqF5p Code: lnkd.in/eZFvDA5Q (Thread incoming 👇)

Great to have Fabian Prasser visit our institute today! 👋 As a former TUM colleague, he knew his way around and delivered an excellent talk on making clinical data accessible for research. Check out some open-source work from Fabian’s group here: github.com/BIH-MI/

Last week, we had the pleasure of hosting the MultiFact Symposium on AI and MRI for Fetal Brain Development at our institute in Munich! 🧠 A fantastic gathering of experts sharing the latest advances in the field. Thanks to all who joined!

Following the earlier announcement, our professor @danielrueckert.bsky.social officially received the #LeibnizPrize at yesterday’s ceremony in Berlin! 🎉 Check out their portrait on Daniel below (unfortunately in German only): www.youtube.com/watch?v=aH6h...

🥁 Der Moment ist gekommen! 🏅 Heute ehren wir 10 herausragende Wissenschaftler*innen mit dem #LeibnizPreis 2025 der!👏 Für ihre bahnbrechenden Arbeiten und Verdienste in ihren Fachrichtungen erhalten sie je 2,5 Mio. € zur Förderung ihrer #Forschung. Herzlichen Glückwunsch an alle Preisträger*innen!

Huge congratulations to our two PhD students, Tamara Müller and @zilleralex.bsky.social , on completing their doctoral journeys! Your hard work and dedication have paid off. Wishing you both all the best for your future endeavors!

#WACV2025 just wrapped up and our group was also present, with a novel framework for improving image-to-graph transformation! Have a look at how Alex Berger et al. enable cross-domain & cross-dimension learning to outperform standard transfer learning on vessel graph extraction! 🚀 shorturl.at/v6SJi

We’ve just arrived on BlueSky! 👋 Follow us for insights into our group’s research on AI in healthcare and medicine — covering recent publications, open-source code, and key events. Let’s connect, discuss, and advance the field together! 🚀