All Competitors

Every biological foundation model, evaluated and ranked by the bio.rodeo team

Showing 16 of 6 filtered models

  • Monash UniversityJune 23, 2025classificationconnectomicsfmri+7

    A parameter-efficient (5.6M) multimodal foundation model that fuses fMRI time series with diffusion-MRI structural connectivity for brain dynamics analysis.

    ImagingBiosignals
    71Openness
  • FetalCLIP

    6615
    Mohamed bin Zayed University of Artificial Intelligence +1 otherFebruary 20, 2025classificationcontrastive_learningfoundation_model+7

    A CLIP-based vision-language foundation model for fetal ultrasound, pretrained on 210,035 image-caption pairs for plane classification, biometry, anomaly detection, and segmentation.

    Imaging
    13Openness
  • USFM

    346100
    Fudan UniversityAugust 1, 2024classificationfoundation_modelimage_restoration+4

    A universal ultrasound foundation model pretrained on 2M+ multi-organ images via spatial-frequency masked image modeling, enabling label-efficient segmentation, classification, and enhancement.

    Imaging
    22Openness
  • LVM-Med

    21796
    University of Stuttgart +6 othersJune 20, 2023classificationcontrastive_learningct+11

    Self-supervised vision foundation model pretrained on ~1.3M medical images via second-order graph matching, transferable across 15 medical imaging tasks.

    Imaging
    28Openness
  • PCRLv2

    10082
    The University of Hong Kong +1 otherJanuary 2, 2023chest_x_rayclassificationcnn+8

    Self-supervised pre-training framework for medical image analysis that unifies pixel restoration with contrastive feature comparison across 2D and 3D modalities.

    Imaging
    71Openness
  • Arizona State University +1 otherAugust 19, 2019classificationcnnct+7

    Self-supervised 3D pretrained models that learn anatomical representations from unlabeled medical scans for transfer learning to segmentation and classification tasks.

    Imaging
    20Openness