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
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
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
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
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
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
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
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
AI-Med: Artificial Intelligence in Medical Imaging retweeted
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_00500
AI-Med: Artificial Intelligence in Medical Imaging retweeted
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/Vox2Cortex
Article: authors.elsevier.com/c/1iVAd…
@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/post…
@wonnga Morteza Ghahremani
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
Can we diagnose mental disorders in children? An ABCD study
10 disorders + structural MRI + machine learning
acamh.onlinelibrary.wiley.co…
shapemi.github.io/
Workshop on Shape in Medical Imaging at @MICCAI_Society 2023.
The submission deadline is coming up soon!
Post-Doc position in the lab
docs.google.com/document/d/1…
portal.mytum.de/jobs/wissens…
Congratulations to @abzz4ssj for winning the #MICCAI2022 Young Scientist Publication Impact Award for the paper arxiv.org/abs/1803.02579 w/ @wonnga and @NassirNavab
