Virtual You vs Cancer: How Digital Twins Are Revolutionizing Treatment podbean.com/ew/pb-a7v7y-18…

#ICYMI: Here is the link to watch the recording of our most recent #MICCAI Industrial Talk. 🔗 youtu.be/FHoE6_vUQYQ MICCAI Students Women in MICCAI RISE MICCAI

Next-gen vision pre-trained models shouldn’t be short-sighted. Humans can easily perceive 10K x 10K resolution. But today’s top vision models—like SigLIP and DINOv2—are still pre-trained at merely hundreds by hundreds of pixels, bottlenecking their real-world usage. Today, we

Ready for the most powerful foundation model for medical images/videos? 🚨 Just dropped: MedSAM2 The next-gen foundation model for 3D medical image & video segmentation — built on top of SAM 2.1. • Project site: medsam2.github.io • Paper: arxiv.org/abs/2504.03600 Why

Mark your calendars! On April 30, we're hosting a Stanford HAI seminar presenting the #AIIndex2025 report at Stanford. Researchers will unpack key trends in AI, from technical progress to regulation. Register now to secure your seat: hai.stanford.edu/events/present…

🔥Our MedReason-8B model is 🔥 on Hugging Face, with almost 9K downloads just ONE week after its release: huggingface.co/UCSC-VLAA/MedR… Paper: arxiv.org/abs/2504.00993 Code: github.com/UCSC-VLAA/MedR…

Happy to share our Google AI Google DeepMind milestone of two nature publications today on Project AMIE - the art of the possible for empathic, conversational, diagnostic medical AI. AMIE exceeded Primary Care Physicians in a randomized comparison of simulated text-based

Happy to share UKBOB, the largest and most diverse 3D medical imaging segmentation dataset. It covers 72 Organs and Bones from over 51K 3D MRI samples and ONE BILLION masks from UK Biobank. This dataset enables the training of foundation models that zero-shot generalize to

A big day – we are making the largest dataset of chest X-rays available to the world. This is the first dataset to cross 100k patients. huggingface.co/datasets/rajpu…

This year's NeurIPS conference will initiate a position track. The position track paper deadline is May 22 AoE for all materials (abstract, full paper, supplementary, etc.). See Call for Paper for more details! neurips.cc/Conferences/20…

Had a very great time in Vanderbilt #CVPR2025. Meet so many email-friends in person. Here is my Keynote Talk at CVPR 2025 Workshop (Medical Computer Vision) youtu.be/_2gkGh3NOwc?si… Enjoy! #CVPR2025

Pedro Bassi: Label Critic (Invited Talk at JHU) youtu.be/9D5-pFgtgDQ?si… Very useful study from Pedro Bassi congrats!

TotalSegmentator now supports high-resolution segmentation (submillimeter) of craniofacial structures, including the mandible, teeth, skull, maxillary sinus, and frontal sinus. Free and easy to use: github.com/wasserth/Total…

Self-supervised Learning (SSL) vs Contrastive Language-Image (CLIP) models is a never-ending battle What about using both? This Google paper does exactly that, and results are really good on many different tasks TIPS is a model trained with a CLIP loss and 2 SSL losses [1/9]

I have been long arguing that a world model is NOT about generating videos, but IS about simulating all possibilities of the world to serve as a sandbox for general-purpose reasoning via thought-experiments. This paper proposes an architecture toward that arxiv.org/abs/2507.05169

The MedGemma technical report is out 👇 arxiv.org/pdf/2507.05201

🎥 The recordings for our #CVPR2025 Workshop on Generative Models for Computer Vision are live! Missed a keynote or want to revisit your favorites? Find them here: youtube.com/playlist?list=… #CVPR2025

BraTS, LiTS, and KiTS have deeply advanced cancer research. Now, PanTS joins this family of open datasets! I’m truly grateful for the community efforts that make these valuable resources available to everyone. github.com/MrGiovanni/Pan…

The NIH awarded Zongwei Zhou and his team a four-year, $2.8 million R01 grant to develop an #AI system to enhance the detection and monitoring of metastasis in colorectal cancer using patients’ CT scans. Learn more here: malonecenter.jhu.edu/zongwei-zhou-a…