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Our Team | Institut für KI und Informatik in der Medizin

Congratulations Florian on this achievement! We wish you all the best on your next chapter.

Interested in doing similar work? Reach out to our team!
We're always looking for motivated students: kiinformatik.mri.tum.de/de/lehrstuhl...

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It’s this time of the year again! #NeurIPS2025

If you are in San Diego, make sure to check out 2 works from our lab this week 📝📝 #AIMresearch

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Huge congratulations to Paul Hager and Dr. med. Friederike Jungmann for winning the MDSI Best Paper Award in the Societal Impact category! 🏆🎊

See more details in the thread below!

Photo's copyright: Andreas Heddergott/TUM

#AIMResearch #AIMNews #MDSI #BestPaperAward

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Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond Cardiac magnetic resonance (CMR) imaging is the gold standard for non-invasive cardiac assessment, offering rich spatio-temporal views of the heart’s …

We are wrapping up our 5th-year anniversary paper series with ViTa by Yundi Zhang et al. (www.sciencedirect.com/science/arti...), a work that adresses: How to realize personalized cardiac healthcare that moves beyond a single task?

#AIMResearch #AIMAnniversary #MultiModalLearning #CardiacMRI

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Is it safe to use LLMs in the clinic today? This is the central question that @paulhager.bsky.social and Friederike Jungmann tackled in their 2024 study published in #NatureMedicine, which is our 5th-year anniversary's highlight paper this week.

#AIMAnniversary #AIMResearch #LLM #Benchmark

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Throwback to 2022! 🕰️ Continuing with our 5th-year anniversary series, we're now revisiting a question we faced at that time: How fast can we reliably see the beating heart in MRI without sacrificing image quality?

#AIMAnniversary #AIMResearch #NeuralImplicitRepresentation #CardiacMRI

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As our lab's 5th anniversary approaches 🥳, we're kicking off a month-long series of posts highlighting standout papers from our past five years at @tum.de. Join us as we revisit the incredible work that has shaped our journey!

#AIMAnniversary #AIMResearch

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- Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method - @schodani.bsky.social et al.
- A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data - Tobias Susetzky et al.

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#AIMresearch #AIMabroad #MICCAI2025

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Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond Cardiac magnetic resonance imaging is the gold standard for non-invasive cardiac assessment, offering rich spatio-temporal views of the cardiac anatomy and physiology. Patient-level health factors, su...

⚡ The bigger picture: Leveraging 42,000 UK Biobank participants, ViTa pushes cardiac imaging toward holistic, foundation-level AI.

🔗 Read the paper: arxiv.org/abs/2504.13037
💻 Code & models: github.com/Yundi-Zhang/...

#AIMresearch
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Outline of the Dynamic, Automatic & Systematic (DAS) Red‑Teaming method.

Outline of the Dynamic, Automatic & Systematic (DAS) Red‑Teaming method.

🔃 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

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🤔 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
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