Excited to share our latest work in @Radiology_AI, led by Ming and Arun from our group, a result of a team effort in a great collaboration with Christina Holzapfel and Daniel Rueckert! @MingmingWu10@DanielRueckert
Evaluating Sex-specific Differences in Abdominal Fat Volume and Proton Density Fat Fraction on MRI Scans Using Automated nnU-Net-based Segmentation https://t.co/Zuz1f0j4ya @MingmingWu10@BMRRgroup#AbdRad#ML#MachineLearning
🗓️ Just 1 week left until the #CIBM Annual Symposium 2024! Don’t miss the opportunity to connect with experts from top institutions.
Register now and get ready for an inspiring day of science!
🔗 https://t.co/Ey4EN7XCPh
Did you like #MICCAI2024 ? Interested in a PhD in deep learning for quantitative brain MRI, as part of a pan-European @MSCActions doctoral training network?
Then join our group @HelmholtzIml@TU_Muenchen :
https://t.co/DcEFDT5muV
Mobility rules apply. https://t.co/SbLMq5k51A
The #MICCAI Enduring Impact Award is our most prestigious award given to a senior researcher whose work has made an enduring impact on our field. This year, we are pleased to present Daniel Reuckert , TU Munich, with the 2024 Enduring Impact Award. Congratulations Daniel!
Evaluating Sex-specific Differences in Abdominal Fat Volume and Proton Density Fat Fraction on MRI Scans Using Automated nnU-Net-based Segmentation https://t.co/Zuz1f0j4ya @MingmingWu10@BMRRgroup#nnUNet#ML#MachineLearning
Our lab demonstrating low-field MRI at the Summerfest of the TUM School of Medicine and Health ☀️ 🧲. Scanning biological samples and 3D objects with a hidden message was great fun. Who guessed the thing - won a prize! 🍧