All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–24 of 25 filtered models
PIGMENT
———Physics-informed generative foundation model for quantitative diffusion MRI that maps brain microstructure and adapts zero-shot to each participant.
Imaging11OpennessBrainDINO
43—Emory University +2 othersApril 30, 2026brain_age_estimationdisease_classificationfoundation_model+6Self-supervised brain MRI foundation model built on DINOv3, pretrained on roughly 6.6 million unlabeled axial slices for neuroimaging tasks.
Imaging49OpennessNeuroVLM
8——Vision-language foundation model linking human brain activation maps and neuroscience text for text-to-brain and brain-to-text generation.
ImagingLanguage model74OpennessNeuroVFM
50—465University of Michigan +1 otherNovember 23, 2025ctfoundation_modeljoint_embedding_predictive_architecture+8Generalist neuroimaging vision foundation model pretrained on 5.24M clinical MRI and CT volumes for radiologic diagnosis and report generation.
Imaging57OpennessDenseFormer-MoE
—27—Brain MRI foundation model pairing DenseNet and Vision Transformer backbones with mixture of experts for disease diagnosis and brain age prediction.
Imaging8Openness3D-Neuro-SimCLR
912—Self-supervised foundation model for 3D brain MRI, learning transferable anatomical representations from unlabeled scans for disease classification.
Imaging74OpennessBrainFM
208—Modality-agnostic foundation model for human brain imaging that runs five core neuroimaging tasks across uncalibrated CT and MRI without retraining.
Imaging75OpennessNeuroSTORM
1164—Spatiotemporal foundation model that learns representations directly from 4D functional MRI volumes for disease diagnosis and phenotype prediction.
ImagingBiosignals78OpennessSAM-Brain3D
56—Brain MRI segmentation foundation model trained on 66,000+ image-label pairs across 14 MRI sub-modalities, with a hypergraph dynamic adapter.
Imaging26OpennessFunctional MRI foundation model that learns brain dynamics as a stochastic optimal control problem, self-supervised on 41,072 UK Biobank subjects.
Biosignals8OpennessFM-CT
6113—Self-supervised 3D vision foundation model for non-contrast head CT, pretrained on 361,663 scans to detect a broad range of intracranial disease.
Imaging26OpennessBrainfound
—4—Tsinghua University +2 othersJanuary 10, 2025contrastive_learningcross_modality_translationdiffusion+9Multimodal vision-text foundation model for brain CT and MRI, pretrained on roughly 10 million image-report pairs to act as a clinical copilot.
ImagingLanguage model7OpennessBME-X
6871—Tissue-aware foundation model that restores brain MRI quality across motion correction, super-resolution, denoising, and harmonization.
Imaging70OpennessBrainIAC
13825—Self-supervised vision foundation model for structural brain MRI, providing a reusable encoder for brain age, survival, and image classification.
Imaging24OpennessSpark3D (S3D)
157—30Masked-autoencoder foundation model that pre-trains a 3D Residual Encoder U-Net on roughly 39,000 brain MRIs for volumetric image segmentation.
Imaging45OpennessTUMSyn
45——Text-guided MRI synthesis model that generates brain MR sequences and resolutions on demand from routine scans using imaging-metadata prompts.
Imaging28OpennessAnatCL
1821—Brain MRI foundation model family pretrained with anatomically informed contrastive learning for diagnosis and clinical score prediction.
Imaging71OpennessBrainMAE
—10—Self-supervised masked autoencoder for functional MRI that learns representations from BOLD time-series with per-ROI embeddings and graph attention.
Biosignals17OpennessBrainSegFounder
1576—3D vision-transformer foundation model for multimodal neuroimage segmentation, pretrained self-supervised on brain MRI from 41,400 participants.
Imaging51OpennessBrainMorph
57——Keypoint-based foundation model for brain MRI registration, pretrained on over 100,000 3D volumes for rigid, affine, and deformable alignment.
Imaging85OpennessMoME
313—Universal brain lesion segmentation for multi-modal brain MRI, using a Mixture of Modality Experts to span diverse modalities and lesion types.
Imaging79OpennessLaMIM
1921—West China Hospital of Sichuan University +1 otherApril 17, 2024autoencoderbrain_mrifoundation_model+6Brain MRI foundation model pretrained with masked image modeling on roughly 57,000 multi-contrast head scans for brain tumor diagnosis.
Imaging15OpennessUniBrain
39——Vision-language pre-training framework for universal brain MRI diagnosis, learning from imaging-report pairs to cover more than ten brain diseases.
Imaging35Openness