sixitingting

Pytorch-Utils

Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.

Image_Segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

DARTS

Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

brain2020

Development and validation of an interpretable deep learning framework for Alzheimer's disease classification

Brain-Tumor-Classification

Brain Tumor Classification

AnatomyNet-for-anatomical-segmentation

AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation

NiftyNet

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

KiTS19-Challege

KiTS19——2019 Kidney Tumor Segmentation Challenge

DenseUnet_BraTs

DXY-COVID-19-Data

2019新型冠状病毒疫情时间序列数据仓库 | COVID-19/2019-nCoV Infection Time Series Data Warehouse

kits19

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

MeshCNN

Convolutional Neural Network for 3D meshes in PyTorch

3D-SkipDenseSeg

MSSU-Net

This code is for the paper "multi-scale supervised 3D U-Net for kidneys and kidney tumor segmentation".

DevNet

3DCNN-Vis

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification

ano_pred_cvpr2018

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

novelty-detection

Latent space autoregression for novelty detection.

cAAE

code for Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders

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'

Matwo-CapsNet

Original implementation of the MICCAI 2019 Paper "Matwo-CapsNet: a Multi-Label Semantic Segmentation Capsules Network".

brain-tumor-segmentation

Pytorch implementaion of UNet, Deep ResUnet and ONet models for the brain tumor segmentation task

eo-allen

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

kits19-challenge

Kidney Tumor Segmentation Challenge 2019

mmdetection

Open MMLab Detection Toolbox and Benchmark

NiftyNetModelZoo

This repository hosts NiftyNet networks pre-trained for specific tasks

SimpleITK-Notebooks

Jupyter notebooks for learning how to use SimpleITK

TGS_Salt

TGS Salt Challenge

pytorch-OpCounter

Count the FLOPs of your PyTorch model.