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@QTIM-Lab

QTIM Lab

The Quantitative Translational Imaging in Medicine Lab at the Martinos Center (MGH/HST)

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  1. DeepNeuro DeepNeuro Public

    A deep learning python package for neuroimaging data. Made by:

    Jupyter Notebook 125 37

  2. qtim_Tutorials qtim_Tutorials Public

    Jupyter notebooks and other tutorials for medical imaging and deep learning, courtesy of the QTIM lab.

    Jupyter Notebook 28 15

  3. SiameseChange SiameseChange Public

    Python 17 5

  4. qtim_ROP qtim_ROP Public

    Code base for preprocessing, segmentation and classification of retinal images

    Python 14 8

  5. qtim_tools qtim_tools Public

    A set of tools used for quantitative analysis of and machine learning from 3D medical images. Created by the Quantitative Tumor Imaging Lab at Martinos.

    HTML 11 5

  6. Assessing-Saliency-Maps Assessing-Saliency-Maps Public

    Python 10 2

Repositories

Showing 10 of 112 repositories
  • dl-prediction-brca-tiph-ext Public Forked from QTIM-Lab/dl-prediction-brca-tiph

    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.

    QTIM-Lab/dl-prediction-brca-tiph-ext’s past year of commit activity
    Python 1 MIT 1 0 0 Updated Dec 4, 2024
  • OPTIMEyes Public

    Updated Image Comparator and Classifier

    QTIM-Lab/OPTIMEyes’s past year of commit activity
    Jupyter Notebook 2 1 3 0 Updated Dec 1, 2024
  • NVFlare Public Forked from NVIDIA/NVFlare

    NVIDIA Federated Learning Application Runtime Environment

    QTIM-Lab/NVFlare’s past year of commit activity
    Python 0 Apache-2.0 183 0 0 Updated Nov 28, 2024
  • preprocessing Public

    `preprocessing` is a python library designed for the purpose of preprocessing MRI data at QTIM. It currently supports reorganization of dicom and nifti files to follow BIDS conventions, dicom to nifti conversion, and preprocessing for brain data. Its outputs are intended to follow the BIDS organizational scheme.

    QTIM-Lab/preprocessing’s past year of commit activity
    Python 1 0 1 0 Updated Nov 12, 2024
  • Challenges Public

    Machine Learning Challenges hosted on Codabench

    QTIM-Lab/Challenges’s past year of commit activity
    Python 0 2 0 0 Updated Nov 9, 2024
  • GA_Prospective_Study Public
    QTIM-Lab/GA_Prospective_Study’s past year of commit activity
    Python 0 1 0 0 Updated Nov 4, 2024
  • wandb-deploy-example Public

    A guide to using the free tier of wandb

    QTIM-Lab/wandb-deploy-example’s past year of commit activity
    0 0 0 0 Updated Oct 31, 2024
  • segmentation_generic Public

    Segmentation of images

    QTIM-Lab/segmentation_generic’s past year of commit activity
    Python 0 1 0 1 Updated Oct 28, 2024
  • fundus_detection_segmentation_pipeline Public

    For fundus photography to obtain segmentation-based clinical metrics using a 2-step detection and segmentation pipeline

    QTIM-Lab/fundus_detection_segmentation_pipeline’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Oct 24, 2024
  • OptimEYES-Anaylsis Public

    For pulling and analyzing data from the Image-Comparator app.

    QTIM-Lab/OptimEYES-Anaylsis’s past year of commit activity
    Jupyter Notebook 0 1 0 0 Updated Oct 22, 2024
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