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 - creating_dicoms Public
A repo with examples on how to make dicoms and segmentation objects from raw data.
QTIM-Lab/creating_dicoms’s past year of commit activity - Brain-Mets-Seg Public
A repository containing code to segment brain metastases on T1 contrast enhanced MR scans.
QTIM-Lab/Brain-Mets-Seg’s past year of commit activity - coral-lab Public
QTIM-Lab/coral-lab’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 - qtim-lab.github.io Public
A repository for the public-facing web page of the Quantiative Tumor Imaging Lab at the Martinos Center.
QTIM-Lab/qtim-lab.github.io’s past year of commit activity - EyeLiner Public Forked from cvg/LightGlue
Automatic Longitudinal Image Registration using Fundus Landmarks (ARVO 2024)
QTIM-Lab/EyeLiner’s past year of commit activity - ga_progression_modeling Public
QTIM-Lab/ga_progression_modeling’s past year of commit activity
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