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@mahmoodlab

Mahmood Lab @ Harvard/MGB

AI for Pathology Image Analysis Lab @ HMS / BWH

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  1. CLAM Public

    Open source tools for computational pathology - Nature BME

    Python 1.4k 436

  2. TRIDENT Public

    Toolkit for large-scale whole-slide image processing.

    Python 291 50

  3. TITAN Public

    Multimodal Whole Slide Foundation Model for Pathology

    Python 228 24

  4. UNI Public

    Pathology Foundation Model - Nature Medicine

    Jupyter Notebook 519 69

  5. CONCH Public

    Vision-Language Pathology Foundation Model - Nature Medicine

    Python 380 33

  6. HEST Public

    Integrating histology and spatial transcriptomics - NeurIPS 2024

    Python 290 28

Repositories

Showing 10 of 34 repositories
  • TRIDENT Public

    Toolkit for large-scale whole-slide image processing.

    Python 291 50 21 (1 issue needs help) 5 Updated Jul 4, 2025
  • Patho-Bench Public

    Standardized benchmark for computational pathology foundation models.

    Python 89 16 4 0 Updated Jun 20, 2025
  • MIL-Lab Public

    Standardized initialization and loading of pretrained MIL models

    35 1 1 0 Updated Jun 11, 2025
  • KRONOS Public

    Foundation Model for Multiplex Spatial Proteomic Images

    Jupyter Notebook 66 10 1 1 Updated Jun 7, 2025
  • HEST Public

    Integrating histology and spatial transcriptomics - NeurIPS 2024

    Python 290 28 15 1 Updated May 3, 2025
  • CLAM Public

    Open source tools for computational pathology - Nature BME

    Python 1,376 GPL-3.0 436 31 9 Updated Apr 14, 2025
  • UNI Public

    Pathology Foundation Model - Nature Medicine

    Jupyter Notebook 519 69 25 2 Updated Mar 25, 2025
  • CONCH Public

    Vision-Language Pathology Foundation Model - Nature Medicine

    Python 380 33 9 2 Updated Mar 26, 2025
  • TITAN Public

    Multimodal Whole Slide Foundation Model for Pathology

    Python 228 24 2 0 Updated Mar 17, 2025
  • MMP Public

    Multimodal prototyping for cancer survival prediction - ICML 2024

    Jupyter Notebook 86 12 1 0 Updated Feb 22, 2025

People

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