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    • `preprocessing` is a python library and CLI tool designed for the purpose of preprocessing MRI data for Deep Learning at QTIM.
      Python
      MIT License
      0100Updated Feb 21, 2025Feb 21, 2025
    • Repo for organizing the db scheme of our coris_db
      Jupyter Notebook
      MIT License
      1000Updated Feb 17, 2025Feb 17, 2025
    • Chronicle

      Public
      An ordered record of events and data
      Python
      Other
      6000Updated Feb 17, 2025Feb 17, 2025
    • Implementation of the paper "Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology" by Tiago Gonçalves, Dagoberto Pulido-Arias, Julian Willett, Katharina V. Hoebel, Mason Cleveland, Syed Rakin Ahmed, Elizabeth Gerstner, Jayashree Kalpathy-Cramer, Jaime S. Cardoso, Christopher P. Bridge and Albert E. Kim.
      Python
      MIT License
      1100Updated Feb 17, 2025Feb 17, 2025
    • Code to download publicly available datasets on disc and cup segmentation from Color Fundus Photos and to train a segmentation model.
      Python
      0000Updated Jan 30, 2025Jan 30, 2025
    • Python
      0000Updated Jan 30, 2025Jan 30, 2025
    • codabench

      Public
      Codabench is a flexible, easy-to-use and reproducible benchmarking platform. Check our paper at Patterns Cell Press https://hubs.li/Q01fwRWB0
      Python
      Apache License 2.0
      31000Updated Jan 13, 2025Jan 13, 2025
    • EyeLiner

      Public
      Automatic Longitudinal Image Registration using Fundus Landmarks (ARVO 2024)
      Python
      Apache License 2.0
      377300Updated Dec 20, 2024Dec 20, 2024
    • For fundus photography to obtain segmentation-based clinical metrics using a 2-step detection and segmentation pipeline
      Jupyter Notebook
      0000Updated Dec 13, 2024Dec 13, 2024
    • OPTIMEyes

      Public
      Updated Image Comparator and Classifier
      Jupyter Notebook
      1230Updated Dec 12, 2024Dec 12, 2024
    • Python
      1000Updated Dec 12, 2024Dec 12, 2024
    • NVFlare

      Public
      NVIDIA Federated Learning Application Runtime Environment
      Python
      Apache License 2.0
      185000Updated Nov 28, 2024Nov 28, 2024
    • Machine Learning Challenges hosted on Codabench
      Python
      2000Updated Nov 9, 2024Nov 9, 2024
    • Python
      1000Updated Nov 4, 2024Nov 4, 2024
    • A guide to using the free tier of wandb
      Other
      0000Updated Oct 31, 2024Oct 31, 2024
    • Segmentation of images
      Python
      1001Updated Oct 28, 2024Oct 28, 2024
    • For pulling and analyzing data from the Image-Comparator app.
      Jupyter Notebook
      1000Updated Oct 22, 2024Oct 22, 2024
    • For cervical cancer model conversion to tflite and executorch for use on edge (android) devices
      Jupyter Notebook
      0100Updated Oct 15, 2024Oct 15, 2024
    • Python
      0200Updated Sep 16, 2024Sep 16, 2024
    • trame tools and visualizations
      Python
      Other
      2210Updated Sep 12, 2024Sep 12, 2024
    • JavaScript
      0000Updated Sep 3, 2024Sep 3, 2024
    • 0000Updated Sep 3, 2024Sep 3, 2024
    • MedSAM

      Public
      Intro to MedSAM Model
      Jupyter Notebook
      1100Updated Aug 30, 2024Aug 30, 2024
    • Federated Learning Optic Disc and Cup Segmentation Model for Glaucoma Monitoring in Color Fundus Photographs(CFPs)
      Python
      0100Updated Aug 20, 2024Aug 20, 2024
    • Application and comparison of conformal prediction and Monte Carlo inference for cervical cancer screening
      Python
      0000Updated Aug 2, 2024Aug 2, 2024
    • A repository for the public-facing web page of the Quantiative Tumor Imaging Lab at the Martinos Center.
      HTML
      MIT License
      3401Updated Jul 5, 2024Jul 5, 2024
    • To get DinoV2 running on a non-slurm environment on ImageNet 1K
      Python
      2410Updated Jun 15, 2024Jun 15, 2024
    • Python
      0001Updated May 3, 2024May 3, 2024
    • Implementation of the paper "Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology" by Tiago Gonçalves, Dagoberto Pulido-Arias, Julian Willett, Katharina V. Hoebel, Mason Cleveland, Syed Rakin Ahmed, Elizabeth Gerstner, Jayashree Kalpathy-Cramer, Jaime S. Cardoso, Christopher P. Bridge and Albert E. Kim.
      Python
      MIT License
      1400Updated May 3, 2024May 3, 2024
    • C
      MIT License
      0000Updated Apr 23, 2024Apr 23, 2024