๐ขThe Winter (December) 2025 issue of the #MICCAI Quarterly is out!
๐Read about our collective efforts to advance health equity, support emerging researchers, and build meaningful global partnerships. Plus a look back at #MICCAI2025 - our largest conference yet.
๐ miccai.org/index.php/pu...
Dr. Yingyu Yang, Postdoctoral Researcher at Oxfordโs Institute of Biomedical Engineering, smiling beside her research poster. A large quote overlay reads: โIโm particularly impressed by the vast amount of interesting and inspiring work that is advancing healthcare. It was very rewarding to see people engage with my research and discuss potential improvements and further applications.โ
Congrats to Dr Yingyu Yang for winning 3rd Place Best Oral Presentation at #MICCAI2025 ๐
Her research is using AI to make fetal heart screening simpler and smarter.
๐ eng.ox.ac.uk/news/dr-ying...
#OxfordEngineering #WomenInSTEM
โDid you attend #MICCAI2025? How was your experience? Please share your feedback in a short survey (approx. 10 minutes to complete).
๐๏ธ Please reply by October 31, 2025 - thank you!๐
๐ www.surveymonkey.com/r/9SFGM8C
#MICCAI @womeninmiccai.bsky.social @miccaistudents.bsky.social
๐ #MICCAI Society announces the recipients of the #MICCAI2025 Best Paper & Young Scientist Awards recognizing the highest quality papers presented at the MICCAI 2025 conference. Congratulations to the authors!๐
๐ miccai.org/index.php/ne...
@womeninmiccai.bsky.social @miccaistudents.bsky.social
Congratulations to Pedro R.A.S Bassi and team on the Best Paper Award Runner-Up recognition and to @jienengchen.bsky.social for receiving @miccaisociety.bsky.socialโs Doctoral Consortium 2025 Second Runner-Up Award at #MICCAI2025!
๐ฝ๏ธ Relive the innovation and collaboration that made #MICCAI2025 so memorable. Here's a look back at the moments that defined this year's #MICCAI conference. Congratulations to the Organizing Committee!
๐ youtu.be/icLuU-8020c
@miccaistudents.bsky.social @womeninmiccai.bsky.social #medicalimaging #ai
๐ Kingโs PhD student Zhi Qin Tan has swept all three segmentation challenges at the MICCAI 2025 ODIN Workshop in South Korea!
His work in 3D CBCT image segmentation is advancing dental diagnostics worldwide.
www.kcl.ac.uk/news/kings-p...
#KingsPhD #MICCAI2025 #DentalImaging #AIinHealthcare
This interdisciplinary work from #PekingUniversity has been accepted by #MICCAI2025.
Image from article in Radiology: Artificial Intelligence
Special Report on rigor and transparency for radiology AI devices https://doi.org/10.1148/ryai.250369 @danafarber.bsky.social @fda.gov #MICCAI2025 #imaging #AI #ComputerVision #MachineLearning
Image from article in Radiology: Artificial Intelligence
Deep learning method for lumbar paraspinal muscle segmentation on MRI https://doi.org/10.1148/ryai.240833 @griffith.edu.auโฌ #MICCAI2025 #imaging #AI #ComputerVision #MachineLearning
๐ฐ๐ทโจ Thank you, Daejeon!
A heartfelt thank you to the city of Daejeon, South Korea, for your incredible hospitality during #MICCAI2025. We leave with new ideas, meaningful connections, and deep appreciation for this vibrant city. ๊ฐ์ฌํฉ๋๋ค!
#MICCAI @womeninmiccai.bsky.social @miccaistudents.bsky.social
Image from article in Radiology: Artificial Intelligence
Summary of the current state of validation rigor & transparency in FDA marketing authorization of AI-enabled devices in radiology https://doi.org/10.1148/ryai.250369 @danafarber.bsky.social @fda.gov #MICCAI2025 #imaging #AI #ComputerVision #MachineLearning
Image from article in Radiology: Artificial Intelligence
#DeepLearning model to segment lumbar paraspinal muscles & quantify muscle volumes on MRI https://doi.org/10.1148/ryai.240833 @griffith.edu.auโฌ #MICCAI2025 #imaging #AI #ComputerVision #MachineLearning
๐ฅณ๐๐ฅ She won it! She won it! She won it! ๐๐๐ฅ
๐๐
Best Paper Award #MICCAI2025 for our #MedIA article!๐
๐
One of most prestigious awards in #Medical #Imaging that I could only dream when starting a lab 3 years ago, but @ziyunliang.bsky.social made it!
๐ Paper: www.sciencedirect.com/science/arti...
๐งต๐
Congratulations๐ to
@epoeta.bsky.social for her Best Paper Award for the paper "Divergence-aware training with automatic subgroup mitigation for breast tumor segmentation" received at the MAMA-MIA Challenge #MICCAI2025
@marazulv.bsky.social
@miccaisociety.bsky.social
eurecom.fr/publication/...
Image from article in Radiology: Artificial Intelligence
CoRaX #AI system helps radiologists detect abnormalities on chest radiographs https://doi.org/10.1148/ryai.240277 @uh.edu #MICCAI2025 #imaging #AI #ComputerVision #MachineLearning
๐We're almost at the grand finale of #MICCAI2025! Soon, we'll be announcing the 2025 Best Paper Awards, the Young Scientist Awards and many more prestigious honors! ๐ We'll also get a preview of what's ahead at #MICCAI2026 in Abu Dhabi. ๐ฆ๐ช Don't miss it.
Image from article in Radiology: Artificial Intelligence
Summary of the current state of validation rigor & transparency in FDA marketing authorization of AI-enabled devices in radiology https://doi.org/10.1148/ryai.250369 @danafarber.bsky.social @fda.gov #MICCAI2025 #imaging #AI #ComputerVision #MachineLearning
๐ฅณ Celebrations were in full swing at the #MICCAI2025 Gala Dinner. Congratulations to Dinggang Shen, recipient of the 2025 Enduring Impact Award! ๐ And to Carl-Fredrik Westin, Marius George Linguraru and Jayashree Kalpathy-Cramer who became Fellows of the #MICCAI Society. ๐
tinyurl.com/52pt58jy
Image from article in Radiology: Artificial Intelligence
#DeepLearning model to segment lumbar paraspinal muscles & quantify muscle volumes on MRI https://doi.org/10.1148/ryai.240833 @griffith.edu.auโฌ #MICCAI2025 #imaging #AI #ComputerVision #MachineLearning
#MICCAI2025 workshops:
Deep Generative Models Workshop (DGM4MICCAI):
Keynote: Julia Wolleb
dgm4miccai.github.io#keynote
@yaleengineering.bsky.social @yaleschoolofmed.bsky.social
#MICCAI2025 workshops:
Advances in Simplifying Medical UltraSound (ASMUS):
VidFuncta: Towards Generalizable Neural Representations for Ultrasound Videos
Julia Wolleb, Florentin Bieder, Paul Friedrich, Hemant D. Tagare, Xenophon Papademetris
arxiv.org/abs/2507.21863
#MICCAI2025:
Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation
Xiaoran Zhang, Eric Z. Chen, Lin Zhao, Xiao Chen, Yikang Liu, Boris Maihe, James S. Duncan, Terrence Chen, and Shanhui Sun
papers.miccai.org/miccai-2025/...
Check out YBII at @miccaisociety.bsky.social
#MICCAI2025:
Geometry-Guided Local Alignment for Multi-View Visual Language Pre-Training in Mammography
Yuexi Du, Lihui Chen, Nicha C. Dvornek
papers.miccai.org/miccai-2025/...
Image from article in Radiology: Artificial Intelligence
MR-Transformer predicts knee osteoarthritis progression to joint replacement using MRI https://doi.org/10.1148/ryai.240373 @cem.bsky.social @cai2r.net #MICCAI2025 #imaging #AI #ComputerVision #MachineLearning
๐Time to put your phone in your pocket and enjoy the #MICCAI2025 Gala Dinner and Celebration! Weโll announce the recipients of the 2025 Enduring Impact Award and congratulate three new MICCAI Fellows. #MICCAI
๐ Meet the winners of the #MICCAI Society Startup Village Pitch Competition - SynthesEyes GmbH, Scialytics and MIRA Vision - who are showcasing their innovative solutions at the #MICCAI2025 Poster Sessions.
@womeninmiccai.bsky.social @miccaistudents.bsky.social
Image from article in Radiology: Artificial Intelligence
Novel #AI system addresses perceptual errors in radiology through multimodal analysis of gaze and interaction data https://doi.org/10.1148/ryai.240277 @uh.edu #MICCAI2025 #imaging #AI #ComputerVision #MachineLearning
๐ Today at #MICCAI2025, Professor Xuanhe Zhao will discuss Bioadhesive Ultrasound and Telerobotic Neurointervention.
โMerging humans and machines is of imminent importance in addressing grand society challenges.โ
๐conferences.miccai.org/2025/en/Keynote---Prof-Z...
#MICCAI #ai #imaging
Image from article in Radiology: Artificial Intelligence
Distinguishing between Rigor and Transparency in FDA Marketing Authorization of AI-enabled Medical Devices https://doi.org/10.1148/ryai.250369 @danafarber.bsky.social @fda.gov #MICCAI2025 #imaging #AI #ComputerVision #MachineLearning