Models (3)
CoLiPRI
Microsoft Research / German Cancer Research Center (DKFZ) / University of Cambridge / Heidelberg University / Mayo Clinic
Released October 20, 2025
Vision-language encoders for chest CT that align 3D volumes with radiology reports using contrastive, report-generation, and masked-image objectives.
BiomedGPT
Lehigh University / University of Georgia / Stanford University / Massachusetts General Hospital / University of Pennsylvania / University of Central Florida / UC Santa Cruz / UTHealth Houston / Mayo Clinic / Samsung Research America
Released August 7, 2024
Open-source, lightweight generalist vision-language foundation model for diverse biomedical imaging and text tasks.
Self-supervised 3D pretrained models for CT and MRI that learn anatomical representations from unlabeled volumes and transfer to segmentation tasks.