hongweilibran Goto Github PK
Name: Hongwei Bran LI
Type: User
Bio: I did my Ph.D. at the Technical University of Munich and the University of Zurich, Email: hongwei(d.o.t)[email protected]
Twitter: HongweiBran
Location: Zurich
Name: Hongwei Bran LI
Type: User
Bio: I did my Ph.D. at the Technical University of Munich and the University of Zurich, Email: hongwei(d.o.t)[email protected]
Twitter: HongweiBran
Location: Zurich
2D Lesion Segmentation
attention GAN for MR image synthesis
materials for the BraSyn challenge at MICCAI
segmentation of claustrum using multi-view approaches
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
a repository for the CSM-AI dataset.
deep learning-enabled accurate layer mapping of 2D materials
the released codes for DiamondGAN - a scalable multiple-to-one domain translation approach in medical imaging
Example docker containers for the FeTA Segmentation Challenge in MICCAI 2021
Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'
my personal webiste
a respository for imbalanced self-supervised representation learning
Joint Frequency- and Image-Space Learning for Fourier Imaging
the official repository for MOTUM dataset
this is the official website for the public multi-source brain tumor datasets
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Resources for the QUBIQ challenge which focuses on inter-rater uncertainty quantification in medical image image segmentation tasks
notes and tips for my research
An example of doing MovieLens recommendations using triplet loss in Keras
A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation
Proceedings of MIDL 2019
Video classification tools using 3D ResNet
Datasets, Transforms and Models specific to Computer Vision
winning method for WMH segmentation challenge in MICCAI 2017
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.