All Competitors
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1–8 of 8 filtered models
PlantGeneAnn
12—126Plant genome foundation model for ab initio gene structure annotation, predicting genes, coding sequences, and exons at single-nucleotide resolution.
DNA & Gene66OpennessBrainFM
208—Modality-agnostic foundation model for human brain imaging that runs five core neuroimaging tasks across uncalibrated CT and MRI without retraining.
Imaging75OpennessMINIM
158138—Text-to-image diffusion model that generates synthetic medical images across imaging modalities and organs to augment scarce clinical training data.
Imaging41OpennessSpark3D (S3D)
1573936Masked-autoencoder foundation model that pre-trains a 3D Residual Encoder U-Net on roughly 39,000 brain MRIs for volumetric image segmentation.
Imaging45OpennessMoME
3125—Universal brain lesion segmentation for multi-modal brain MRI, using a Mixture of Modality Experts to span diverse modalities and lesion types.
Imaging79OpennessSTU-Net
372159—Scalable and transferable U-Net family (14M–1.4B parameters) for 3D medical image segmentation, supervised-pretrained on TotalSegmentator.
Imaging82OpennessPCRLv2
10083—Self-supervised pretraining framework for medical imaging that unifies pixel restoration with contrastive learning across 2D and 3D image backbones.
Imaging71OpennessModels Genesis
788407—Self-supervised 3D pretrained models for CT and MRI that learn anatomical representations from unlabeled volumes and transfer to segmentation tasks.
Imaging20Openness