@DanielRueckert

TU Munich and Imperial College London

 Munich, Bavaria
Joined June 2009
  • Tweets948
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117Media
Time to leave this platform. You can find me on bluesky...
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A great #MICCAI2024 is coming to an end. Together with our group from Munich we had a fantastic time discussing science and enjoying Marrakech.
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And thank you to the @MICCAI_Society for the enduring impact award!
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Greetings from @aimlab_tum @HelmholtzIml at #MICCAI2024
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Want to know more about representation learning for cardiac MRI and missed Yundi Zhang‘s talk? Come to her poster presentation at #miccai2024!
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If you happen to be at #MICCAI2024, please join us in todays’s morning poster session for the presentation of Alex’s work on Topologically faithful multi-class segmentation for medical. Paper: arxiv.org/pdf/2403.11001 Code: github.com/AlexanderHBerger/…
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Amazing keynote by @mmbronstein at #miccai2024
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Great dinner at #MICCAI2024 with our students and post-docs from @HelmholtzIml @aimlab_tum
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Cool talk by Veronika Spieker on self-supervised k-space regularisation for INR-based MRI reconstruction @ja_schnabel @HelmholtzMunich @TU_Muenchen @aimlab_tum
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Opening ceremony of #MICCAI2024 in beautiful Marrakech
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Great start to #MICCAI2024
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Good morning #miccai2024
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Looking forward to a great #MICCAI2024 in Marrakech!
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Quick stopover in sunny Paris before heading to Marrakech.
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Looking for PhD candidates interested in exploring multi-modal AI for healthcare! If you or someone you know is curious about this opportunity, feel free to reach out. More info about me and the team: cherise215.github.io/
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Daniel Rueckert retweeted
IEEE-TMI@IEEE_TMI4 Aug 2024
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…
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Interested in applying AI and ML to problems in medicine and healthcare? Join @aimlab_tum as a post-doctoral researcher! For more details check this out: portal.mytum.de/jobs/wissens…
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Daniel Rueckert retweeted
Curt Langlotz@curtlanglotz20 Jul 2024
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/s41591-0…
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Great to see our work on the limitations of large language models in clinical decision-making appearing in @NatureMedicine. Thanks to a fantastic set of collaborators! nature.com/articles/s41591-0…
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Some impressions from this year's MCML #MunichAIDay2024!
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