Models (6)
Brain MRI morphometry model that estimates cortical thickness, surface area, and volume in milliseconds instead of hours.
Meta-learning framework that transfers perturbation responses across cell lines, donors, and drugs from a few measured seed perturbations.
Vision-language foundation model linking human brain activation maps and neuroscience text for text-to-brain and brain-to-text generation.
Protein structure embedding model that compresses each 3D fold into a single fixed-length vector for proteome-wide similarity search and clustering.
Multimodal foundation model for wearable physiological sensing across PPG, ECG, EEG, GSR, and IMU signals, using channel-aware attention.
LVM-Med
University of Stuttgart / German Research Center for Artificial Intelligence (DFKI) / Max Planck Institute for Informatics / University of Texas at Austin / University of Bonn / University of California, San Diego / National University of Singapore
Released June 20, 2023
Self-supervised vision foundation model pretrained on 1.3M medical images via second-order graph matching, for segmentation and classification.