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3d-gan-pytorch

Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf

3d-pix2pix-cyclegan

anogan-pytorch

Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"

cascaded-fcn

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

cnn-models

ImageNet pre-trained models with batch normalization

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

docker-ssh

SSH Server for Docker containers ~ Because every container should be accessible

dockerfiles

public Dockerfile repo

flask-jsonrpc

A basic JSON-RPC implementation for your Flask-powered sites

gke-letsencrypt

Tutorial for installing cert-manager on GKE get HTTPS certificates from Let’s Encrypt

pet_deepattcorrection

Whole Body Positron Emission Tomography Attenuation Correction Map Synthesizing using 3D Deep Networks

pix2pix3d-ct

Keras implementation of modified pix2pix with 3D convolutions. Developed for CT data.

saratan

Code for MICCAI 2016 paper : Automatic liver and lesions segmentation using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

scifio

SCientific Image Format Input & Output: a flexible, extensible framework for image I/O. *EXPERIMENTAL* All API is subject to change, so depend at your own risk! See also @openmicroscopy/bioformats.