QTIM Lab
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qtim_Tutorials
qtim_Tutorials PublicJupyter notebooks and other tutorials for medical imaging and deep learning, courtesy of the QTIM lab.
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qtim_tools
qtim_tools PublicA set of tools used for quantitative analysis of and machine learning from 3D medical images. Created by the Quantitative Tumor Imaging Lab at Martinos.
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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 - preprocessing Public
`preprocessing` is a python library and CLI tool designed for the purpose of preprocessing MRI data for Deep Learning at QTIM.
QTIM-Lab/preprocessing’s past year of commit activity - AI-for-BPD-and-PH Public
Deep learning-based prediction of cardiopulmonary disease in retinal images of premature infants
QTIM-Lab/AI-for-BPD-and-PH’s past year of commit activity - chimera Public
Predicting Bacillus Calmette-Guérin(BCG) response subtypes (BRS1, BRS2, BRS3) from H&E-stained histopathology slides of high-risk non-muscle-invasive bladder cancer (HR-NMIBC) patients.
QTIM-Lab/chimera’s past year of commit activity
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