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
- FL_ViT_pretraining Public
QTIM-Lab/FL_ViT_pretraining’s past year of commit activity - codabench Public Forked from codalab/codabench
Codabench is a flexible, easy-to-use and reproducible benchmarking platform. Check our paper at Patterns Cell Press https://hubs.li/Q01fwRWB0
QTIM-Lab/codabench’s past year of commit activity - federatedLearning_glaucoma_segmentation Public
Federated Learning Optic Disc and Cup Segmentation Model for Glaucoma Monitoring in Color Fundus Photographs(CFPs)
QTIM-Lab/federatedLearning_glaucoma_segmentation’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 - dl-prediction-brca-tiph Public
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’s past year of commit activity