Labs & Groups (1)
Models (5)
BrainDINO
Emory University / Georgia Institute of Technology / Memorial Sloan Kettering Cancer Center
Released April 30, 2026
A self-supervised DINOv3-based foundation model for brain MRI, pretrained on ~6.6M unlabeled axial slices and transferable to diverse neuroimaging tasks.
MAD: Microenvironment-Aware Distillation
MIT / Georgia Institute of Technology
Released March 11, 2026
A self-supervised, cell-centric pretraining strategy that distills morphology and microenvironment views of each cell into a unified embedding for virtual spatial omics from microscopy.
Med-R1
Emory University / University of Southern California / University of Tokyo / Johns Hopkins University / Georgia Institute of Technology
Released March 18, 2025
A reinforcement-learning-trained medical vision-language model for generalizable reasoning across eight imaging modalities and five clinical question types.
A ConvNet-based self-supervised foundation model for photoplethysmography (PPG), pretrained on 36M+ signal pairs to learn quality-robust representations for cardiovascular monitoring.
Disentangled VAE framework for joint batch correction, condition-key-gene detection, and perturbation prediction in multi-batch multi-condition scRNA-seq data.