AI-Med: Artificial Intelligence in Medical Imaging

A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes doi.org/10.1148/ryai.2… @AI_Medic #segmentation #lungs #ML

Body Charts from CT Segmentations across the Adult Lifespan: Large-scale Cross-sectional and Longitudinal Analyses doi.org/10.1148/ryai.2… @AI_Medic #ChestRad #ML #MachineLearning

A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes doi.org/10.1148/ryai.2… @AI_Medic #ChestRad #heart #MachineLearning

Modeling whole-body, CT-derived anatomic volumes to establish reference charts for the adult lifespan doi.org/10.1148/ryai.2… @AI_Medic #CT #ChestRad #Liver

Measuring whole-body anatomic volumes across the adult lifespan: using AI to derive reference charts from CT scans doi.org/10.1148/ryai.2… @AI_Medic #CT #Liver #MachineLearning

A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes doi.org/10.1148/ryai.2… @AI_Medic #ChestRad #kidney #AI

A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes doi.org/10.1148/ryai.2… @AI_Medic #CT #Liver #heart

Modeling whole-body, CT-derived anatomic volumes to establish reference charts for the adult lifespan doi.org/10.1148/ryai.2… @AI_Medic #CT #segmentation #AbdRad

New paper in Imaging Neuroscience by Fabian Bongratz, Christian Wachinger, et al: V2C-Long: Longitudinal cortex reconstruction with spatiotemporal correspondence doi.org/10.1162/imag_a…

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 🧵:

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/Vox2Cor… Article: authors.elsevier.com/c/1iVAd4rfPmHq… @wonga et al @TU_Muenchen

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/p… @wonnga Morteza Ghahremani

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

Can we diagnose mental disorders in children? An ABCD study 10 disorders + structural MRI + machine learning acamh.onlinelibrary.wiley.com/doi/10.1002/jc…

shapemi.github.io Workshop on Shape in Medical Imaging at @MICCAI_Society 2023. The submission deadline is coming up soon!

Day 3 starts off with an oral talk from TUM and LMU

Post-Doc position in the lab docs.google.com/document/d/13E… portal.mytum.de/jobs/wissensch…

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=IIL7Bz… Hosted with @ja_schnabel @DanielRueckert @NassirNavab #ai #Schrobenhausen

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

Congratulations to @abzz4ssj for winning the #MICCAI2022 Young Scientist Publication Impact Award for the paper arxiv.org/abs/1803.02579 w/ @wonnga and @NassirNavab