The code samples of my CSDN blog (http://blog.csdn.net/zssureqh)

MAF2 Medical Extensions

A tool for the visual analysis and processing of volumetric datasets, with a focus on industrial computed tomography.

Code and papers for Low-Dose CT denoising

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

kmeans算法的python实现

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas

Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

Pytorch Implementation of Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

Code for the paper "A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images"

Synthesizing and manipulating 2048x1024 images with conditional GANs

Modified Pix2Pix keras implementation adding perceptual loss.

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25

pix2pix keras implemantation by tommy

A Keras implementation of pix2pix code adapted to generate retinal images from vessel networks.

Code and hyperparameters for the paper "Generative Adversarial Networks"

Image-to-Image Translation with Conditional Adversarial Networks (Pix2pix) implementation in keras

Awesome paper list with code about generative adversarial nets

starter from "How to Train a GAN?" at NIPS2016

Implementation of recent Deep Learning papers

A deep convolutional neural network (based on the 'U-Net') to enhance the image quality of 4-D Cone Beam CT

This is the official website of our work 3D Appearance Super-Resolution with Deep Learning published on CVPR2019.

Python tools for gamma-ray data analysis

An open source multi-modality radiation treatment planning sytem developed by e0404 @ DKFZ

Matlab/Octave based platform for Radiological Research.