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Name: JASON
Type: User
Company: 2ND AFFILIATED HOSPITAL, ZHEJIANG UNIVERSITY, CHINA
Location: HANGZHOU
Name: JASON
Type: User
Company: 2ND AFFILIATED HOSPITAL, ZHEJIANG UNIVERSITY, CHINA
Location: HANGZHOU
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Accelerated Variational dynamic MRI reconstruction
A collection of various awesome lists for hackers, pentesters and security researchers
BART: Toolbox for Computational Magnetic Resonance Imaging
Bitcoin Core integration/staging tree
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
Chinese software copyright application template document
Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]
Harmonization of multi-site imaging data with ComBat
Simple SEIR model Python script for the COVID-19 pandemic with real world data comparison.
[TMI'19] Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Code for Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
Deep Learning and Radiomics Framework for Lymphatic metastasis for Non-small cell lung cancer
The code for paper 'DeepMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'
Pytorch implementation of RAKI, k-space interpolation of MRI data
Code for our paper: "DIMENSION:Dynamic MR Imaging with Both K-space and Spatial Prior via Multi-Supervised Network Training"
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
A Matlab toolbox for cardiovascular signal processing
Deep-learning Radiomics for Classification Modelling
A large-scale dataset of both raw MRI measurements and clinical MRI images
Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.
MATLAB routines for neuroimaging data processing
Toolbox for simulation and processing if in-vivo magnetic resonance spectroscopy (MRS) data
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.