AI-Med: Artificial Intelligence in Medical Imaging

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

[Radiology: Artificial Intelligence @Radiology_AI]

A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes https://t.co/pgxEceP0yg @AI_Medic #segmentation #lungs #ML

[Radiology: Artificial Intelligence @Radiology_AI]

Body Charts from CT Segmentations across the Adult Lifespan: Large-scale Cross-sectional and Longitudinal Analyses https://t.co/pgxEceP0yg @AI_Medic #ChestRad #ML #MachineLearning

[Radiology: Artificial Intelligence @Radiology_AI]

A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes https://t.co/pgxEceP0yg @AI_Medic #ChestRad #heart #MachineLearning

[Radiology: Artificial Intelligence @Radiology_AI]

Modeling whole-body, CT-derived anatomic volumes to establish reference charts for the adult lifespan https://t.co/pgxEceP0yg @AI_Medic #CT #ChestRad #Liver

[Radiology: Artificial Intelligence @Radiology_AI]

Measuring whole-body anatomic volumes across the adult lifespan: using AI to derive reference charts from CT scans https://t.co/pgxEceP0yg @AI_Medic #CT #Liver #MachineLearning

[Radiology: Artificial Intelligence @Radiology_AI]

A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes https://t.co/pgxEceP0yg @AI_Medic #ChestRad #kidney #AI

[Radiology: Artificial Intelligence @Radiology_AI]

A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes https://t.co/pgxEceP0yg @AI_Medic #CT #Liver #heart

[Radiology: Artificial Intelligence @Radiology_AI]

Modeling whole-body, CT-derived anatomic volumes to establish reference charts for the adult lifespan https://t.co/pgxEceP0yg @AI_Medic #CT #segmentation #AbdRad

[Imaging Neuroscience @ImagingNeurosci]

New paper in Imaging Neuroscience by Fabian Bongratz, Christian Wachinger, et al:

V2C-Long: Longitudinal cortex reconstruction with spatiotemporal correspondence

https://t.co/tmAi5LxBTp

[Yitong Li @_YitongLi_]

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: https://t.co/pkDr7dDO7j
Code: https://t.co/963ePCSMVQ
A short pitch below 🧵:

[AI-Med: Artificial Intelligence in Medical Imaging @AI_Medic]

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: https://t.co/z6g7YFWk3N
Article: https://t.co/SfdnYkK4Sv
@wonga et al @TU_Muenchen

[AI-Med: Artificial Intelligence in Medical Imaging @AI_Medic]

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. https://t.co/f08frXMil4
@wonnga Morteza Ghahremani

[Bernhard Egger @VisionBernie]

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

[AI-Med: Artificial Intelligence in Medical Imaging @AI_Medic]

Can we diagnose mental disorders in children? An ABCD study
10 disorders + structural MRI + machine learning

https://t.co/vmiqr6STLI

[AI-Med: Artificial Intelligence in Medical Imaging @AI_Medic]

https://t.co/rleV0w1XdY
Workshop on Shape in Medical Imaging at @MICCAI_Society 2023.
The submission deadline is coming up soon!

[IPMI2023 @ipmi2023]

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

[AI-Med: Artificial Intelligence in Medical Imaging @AI_Medic]

Post-Doc position in the lab

https://t.co/kbpKIzPs4c

https://t.co/Ef1RNGrrrT

[Christian Wachinger @wonnga]

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.

https://t.co/r1YGiPjO2R

Hosted with @ja_schnabel @DanielRueckert
@NassirNavab
#ai #Schrobenhausen

[Christian Wachinger @wonnga]

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. https://t.co/y4WjeIqf8W

[AI-Med: Artificial Intelligence in Medical Imaging @AI_Medic]

Congratulations to @abzz4ssj for winning the #MICCAI2022 Young Scientist Publication Impact Award for the paper https://t.co/RuRyylfJOd w/ @wonnga and @NassirNavab