All Competitors

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

Showing 14 of 4 filtered models

  • PhysioWave

    18711
    ETH Zurich +2 othersJune 12, 2025arrhythmia_detectionecgeeg+9

    A multi-scale wavelet-transformer foundation model for physiological signals (ECG, EMG, EEG), using learnable wavelet decomposition and frequency-guided masked pretraining.

    Biosignals
    80Openness
  • HeartLang

    5642
    Peking UniversityFebruary 15, 2025arrhythmia_detectionecg_classificationelectrocardiogram+5

    Self-supervised ECG foundation model that treats heartbeats as words and rhythms as sentences, using a QRS-Tokenizer and dual-level pretraining on MIMIC-IV-ECG.

    Biosignals
    78Openness
  • ECGFounder

    12432128
    Peking University +2 othersOctober 5, 2024arrhythmia_detectioncardiologycnn+6

    A 1D convolutional foundation model for electrocardiogram analysis, trained on over 10 million expert-annotated recordings across 150 diagnostic categories.

    Biosignals
    75Openness
  • Rice UniversityMay 26, 2024arrhythmia_detectioncontrastive_learningconvnext+6

    A foundation model for 12-lead ECG that learns signal representations via multimodal contrastive pretraining against LLM-generated cardiological text.

    Biosignals
    63Openness