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DeepNeuro
A deep learning python package for neuroimaging data. Made by:qtim_Tutorials
Jupyter notebooks and other tutorials for medical imaging and deep learning, courtesy of the QTIM lab.SiameseChange
qtim_ROP
Code base for preprocessing, segmentation and classification of retinal imagesqtim_tools
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.Assessing-Saliency-Maps
DeepRad
A deep learning python package for medical imaging data.qtim_PreProcessor
Resources and pipelines used for pre-processing medical imaging data at the Quantitative Tumor Imaging Lab at the Martinos Center (MIT/HST). Includes Docker resources.SlicerSegmentationWizard
This is a 3D model-based segmentation tool for 3D Slicer. It includes utilities for calculating subtraction maps and thresholding intensities. It can be downloaded as an extension to 3D Slicer.PXS-score
TBDbrats2017
Submission for BRATS 2017qtim-lab.github.io
A repository for the public-facing web page of the Quantiative Tumor Imaging Lab at the Martinos Center.dinov2_imagenet1k_example
To get DinoV2 running on a non-slurm environment on ImageNet 1KFeaturePrediction_ROP
Networks to predict systemic features such as gender and age in ROPdl-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.trame_optimeyes
trame tools and visualizationsMedICI
Composite Challenge PlatformAdrenalMGB-Version-1
Preprocessing and neural network code to train an adrenal gland segmenter and classifier using contrast CT abdominal imaging.3D_CNN_Regression
A model for using input 3D volumes for creating scalar output 3D volumesqtim_gbmSegmenter
This is a self-contained Docker container for segmenting high- and low-grade glioblastomas in MR scans using deep learning.qtim_vessels
CU_Project_Template
A template for using the CU environments and tracking generated datadeeprop
A web-based telemedicine platform for retinopathy of prematuritymonaiLabelExploration
Get MonaiLabel server running and establish an input output workflowDeepTofts
Addressing-catastrophic-forgetting-for-medical-domain-expansion
qtim_DCE
A collection of open-source DCE analysis programs in Python, Matlab, and 3D Slicer.Image-Comparator
Updated Image Comparator and ClassifierRetinavsFace_ROP
neurofit
A python library for fitting neuroscience algorithms with deep learning methods.ROP_app
MedSAM
Intro to MedSAM ModelLLM-Report-Labeling
FL_ViT_pretraining
federatedLearning_glaucoma_segmentation
Federated Learning Optic Disc and Cup Segmentation Model for Glaucoma Monitoring in Color Fundus Photographs(CFPs)Love Open Source and this site? Check out how you can help us