changken1

changken1's Stars

• Emory-HITI/AI-Vengers

  Language:Jupyter Notebook5922

• InsightSoftwareConsortium/ITKTwoProjectionRegistration

  ITK-Based Implementation of Two-Projection 2D/3D Registration Method with an Application in Patient Setup for External Beam Radiotherapy

  Language:C++5018

• intrepidlemon/deep-ultrasound

  Language:Jupyter Notebook5

• JonathanChiang/eDash

  Open Source Clinical Interface for Medical Imaging

  Language:CSS2

• JonathanChiang/TidyShell

  Language:Jupyter Notebook2

• splitlearning/splitlearning.github.io

  Split Learning Project Pages: Camera Culture group, MIT Media Lab

  204

• ufoym/deepo

  Setup and customize deep learning environment in seconds.

  Language:Python6.3k749

• QTIM-Lab/retinaunet

  Retina blood vessel segmentation with a convolutional neural network

  Language:Python82

• QTIM-Lab/qtim_vessels

  1

• QTIM-Lab/DeepRad

  A deep learning python package for medical imaging data.

  Language:Python62

• QTIM-Lab/ROP_app

  Language:Java1

• QTIM-Lab/qtim_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.

  Language:HTML115

• QTIM-Lab/rsnaCrowdQuant

  RSNA Measurement Crowd Sourcing project

  Language:JavaScript92

• QTIM-Lab/qtim_ROP

  Code base for preprocessing, segmentation and classification of retinal images

  Language:Python148

• QTIM-Lab/qtim-lab.github.io

  A repository for the public-facing web page of the Quantiative Tumor Imaging Lab at the Martinos Center.

  Language:HTML43

• QTIM-Lab/qtim_Tutorials

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

  Language:Jupyter Notebook2815

• AnnaBeers/DeepZine

  Synthetic book pages created with a PGGAN

  Language:Python739

• jinguluninja/distHeterogeneity

  Language:Python1

• QTIM-Lab/DeepNeuro

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

  Language:Jupyter Notebook12537

• QTIM-Lab/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.

  Language:Python6