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Name: TAKERU
Type: User
Name: TAKERU
Type: User
Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)
Image registration laboratory for 2D and 3D image data
The model contains 1 encoder and 2 decoders for bidirectional (source -> target, target -> source) 3D images registration with skip connections like Unet.
Implement the DIRNet for image registration (https://arxiv.org/abs/1704.06065)
Tensorflow implementation of DIRNet
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks
Source code for X. Yang et al., "Fast Predictive Image Registration"
A tensorflow implementation of "Non-rigid image registration using fully convolutional networks with deep self-supervision"
Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'
paper:Deep Generative Matching Network for Optical and SAR Image Registration
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
A PyTorch implementation of CNN based MRI image registration based on MICCAI 2018 paper "Linear and Deformable Image Registration with 3D Convolutional Neural Networks"
Image registration using pytorch
Image-and-Spatial Transformer Networks
A demo of the re-factored label-driven registration code, based on "Weakly-supervised convolutional neural networks for multimodal image registration"
a project for developing registration tools with convolutional neural networks
medical image synthesis with GAN framework based on tensorflow (we also have a better version in pytorch: https://github.com/ginobilinie/medSynthesisV1)
This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework
This repository is the implementations of the paper "MR-based Synthetic CT Generation using Deep Convolutional Neural Network Method," Medical Physics 2017.
Pytorch model for MRI to CT synthesis.
Preprocessing scripts for MRI to CT synthesis.
Tensorflow models for MRI to CT synthesis.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.