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

Removal of databricks

AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging

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

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

source codes based on PyTorch to analyze EHR

Latex code for making neural networks diagrams

Federated Learning Library: https://fedml.ai

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

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 rela…

My 3rd place solution to the OpenKBP 2020 Competition

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

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

RAPIDS Community Notebooks

Image translation for paired image datasets (AUTOMAP + Pix2pix)

Image translation by CNNs trained on unpaired data

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

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

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

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.

Awesome GAN for Medical Imaging

Graph CNNs for population graphs

residual attention unet for tumor segmentation (liver and brain)

Code for automatic urinary bladder segmentation using Python and Tensorflow.