hloncai

EHRmodeling

notebooks-extended

RAPIDS Community Notebooks

acdc_segmenter

Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

Awesome-Federated-Learning

Federated Learning Library: https://fedml.ai

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

CFUN

Combining Faster R-CNN and U-net for efficient whole heart segmentation

dolly

Removal of databricks

FederatedLearningVesselSegmentation

GAN-MRI

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

HNAutoSegDL

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

MedicalNet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

medSynthesis

medical image synthesis with GAN framework based on tensorflow (we also have a better version in pytorch: https://github.com/ginobilinie/medSynthesisV1)

miccai17-mmwhs-hybrid

If the code is helpful for your work, please cite our paper "Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing" in STACOM Workshop of MICCAI 2017.

MLSym

Deep learning for cancer symptoms monitoring on the basis of EHR unstructured clinical notes

MRI-to-CT-DCNN-TensorFlow

This repository is the implementations of the paper "MR-based Synthetic CT Generation using Deep Convolutional Neural Network Method," Medical Physics 2017.

Multi-Modal-Brain-Segmentation

3D Multi-modal (FLAIR and T1) Brain MRI Scan Segmentation using Generative Adversarial Learning

OncoBERT

Interpretable BERT framework for longitudinal outcome survival prediction of cancer patients

open-kbp

Repository to help contestants get started in the OpenKBP: AAPM2020 Grand Challenge

OpenKBP-Solution

My 3rd place solution to the OpenKBP 2020 Competition

PairedImageTranslation

Image translation for paired image datasets (AUTOMAP + Pix2pix)

pe_fusion

PlotNeuralNet

Latex code for making neural networks diagrams

population-gcn

Graph CNNs for population graphs

pytorch_ehr

source codes based on PyTorch to analyze EHR

RAUNet-tumor-segmentation

residual attention unet for tumor segmentation (liver and brain)

SlicerEAMapReader

Read cardiac electrophysiology maps from various electroanatomic mapping systems into 3D Slicer

SPECT-CT-Seg-UNet-Keras

UB_Segmentation

Code for automatic urinary bladder segmentation using Python and Tensorflow.

UnpairedImageTranslation

Image translation by CNNs trained on unpaired data