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torch-lddmm

GPU and CPU implementation of LDDMM image registration

tutorials2019

unet-family

Paper and implementation of UNet-related model.

unet-segmentation-in-keras-tensorflow

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

unet-segmentation-pytorch-nest-of-unets

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

unet-zoo

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

unsupervised-medical-image-segmentation

Code for "Contrastive Registration for Unsupervised Medical Image Segmentation".

visualize_matconvnet

A simple code to visualize net for matconvnet.

voxelmorph

Unsupervised Learning for Image Registration

voxnet

3D/Volumetric Convolutional Neural Networks with Theano+Lasagne

wilcoxon-exact

Exact p-values for Wilcoxon signed-rank test in polynomial time.

xcoder_vae_conditional_inference