Research Lab for AI in Medicine @TUM and @LMU University Hospitals. Intelligent algorithms on medical images for advancing healthcare.

Joined December 2017
28 Photos and videos
AI-Med: Artificial Intelligence in Medical Imaging retweeted
A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes doi.org/10.1148/ryai.250506 @AI_Medic #segmentation #lungs #ML
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AI-Med: Artificial Intelligence in Medical Imaging retweeted
Body Charts from CT Segmentations across the Adult Lifespan: Large-scale Cross-sectional and Longitudinal Analyses doi.org/10.1148/ryai.250506 @AI_Medic #ChestRad #ML #MachineLearning
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AI-Med: Artificial Intelligence in Medical Imaging retweeted
A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes doi.org/10.1148/ryai.250506 @AI_Medic #ChestRad #heart #MachineLearning
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AI-Med: Artificial Intelligence in Medical Imaging retweeted
Modeling whole-body, CT-derived anatomic volumes to establish reference charts for the adult lifespan doi.org/10.1148/ryai.250506 @AI_Medic #CT #ChestRad #Liver
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AI-Med: Artificial Intelligence in Medical Imaging retweeted
Measuring whole-body anatomic volumes across the adult lifespan: using AI to derive reference charts from CT scans doi.org/10.1148/ryai.250506 @AI_Medic #CT #Liver #MachineLearning
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AI-Med: Artificial Intelligence in Medical Imaging retweeted
A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes doi.org/10.1148/ryai.250506 @AI_Medic #ChestRad #kidney #AI
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AI-Med: Artificial Intelligence in Medical Imaging retweeted
A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes doi.org/10.1148/ryai.250506 @AI_Medic #CT #Liver #heart
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AI-Med: Artificial Intelligence in Medical Imaging retweeted
Modeling whole-body, CT-derived anatomic volumes to establish reference charts for the adult lifespan doi.org/10.1148/ryai.250506 @AI_Medic #CT #segmentation #AbdRad
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RT @ImagingNeurosci: New paper in Imaging Neuroscience by Fabian Bongratz, Christian Wachinger, et al: V2C-Long: Longitudinal cortex recon…
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AI-Med: Artificial Intelligence in Medical Imaging retweeted
27 Jun 2024
Happy to share that our paper "🍝 PASTA: Pathology-Aware MRI to PET Cross-modal Translation with Diffusion Models" got early accepted (top 11%) at #MICCAI 2024! 🥳@AI_Medic @TU_Muenchen Paper: arxiv.org/abs/2405.16942 Code: github.com/ai-med/PASTA A short pitch below 🧵:
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Deformation of a brain template to reconstruct the gray matter of a person's brain from an MRI scan. The video shows the integration of the ODE with the Euler method, learned by V2C-Flow. Code: github.com/ai-med/Vox2Cortex Article: authors.elsevier.com/c/1iVAd… @wonga et al @TU_Muenchen
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The EU AI Act will put trustworthy AI in the center. This will require handling biases of AI systems. Today, we present our work at #NeurIPS2023 about a new normalization layer in neural networks to effectively reduce bias. neurips.cc/virtual/2023/post… @wonnga Morteza Ghahremani

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AI-Med: Artificial Intelligence in Medical Imaging retweeted
Sunday morning science at #FAUhack #reproduceCVPR @UniFAU @_YitongLi_ from @AI_Medic at @TU_Muenchen with @wonnga starts it of with a great presentation on automated MRI-based diagnosis of Dementia
When we said we planned for 30-40 participants, we didn't really believe in this - now look at that! 🥳 Continuing the second day of the hackathon with @VisionBernie and @anki_xyz @UniFAU #FAUHack #reproduceCVPR @CVPR
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shapemi.github.io/ Workshop on Shape in Medical Imaging at @MICCAI_Society 2023. The submission deadline is coming up soon!

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AI-Med: Artificial Intelligence in Medical Imaging retweeted
21 Jun 2023
Day 3 starts off with an oral talk from TUM and LMU
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AI-Med: Artificial Intelligence in Medical Imaging retweeted
Absolute pleasure that @KilianQW talked about Learning to Detect Objects from Repeated Traversals of the Same Route in the #TUM Distinguished Lecture Series on AI & Healthcare. youtube.com/watch?v=IIL7BzIn… Hosted with @ja_schnabel @DanielRueckert @NassirNavab #ai #Schrobenhausen
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AI-Med: Artificial Intelligence in Medical Imaging retweeted
Cortex reconstruction and parcellation have so far been done separately. We investigated the joint Reconstruction and Parcellation. Interestingly, parcellation accuracy improved with the joint approach but not reconstruction. arxiv.org/abs/2210.01772
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Congratulations to @abzz4ssj for winning the #MICCAI2022 Young Scientist Publication Impact Award for the paper arxiv.org/abs/1803.02579 w/ @wonnga and @NassirNavab
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