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Type: User
Company: CUHK | THU | HMS
Bio: MGH/Harvard, CUHK | Medical Image Analysis
Location: Boston, MA
Type: User
Company: CUHK | THU | HMS
Bio: MGH/Harvard, CUHK | Medical Image Analysis
Location: Boston, MA
[MedIA23] Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation
(CVPR 2019) Pytorch implementation of paper "Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning"
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (CVPR 2021)
The source code of "Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection" (in MICCAI 2020)
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
[MICCAI'20] Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.
Codes for joint representation learning, evaluation through registration and comparison to image tranlation based registration
[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
吴恩达老师的机器学习课程个人笔记
[JBHI'22] CPCL for semi-supervised segmentation
Official Code for our CVPR 2024 Paper "Diversified and Personalized Multi-rater Medical Image Segmentation"
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
A faster pytorch implementation of faster r-cnn
The website designer for Hugo. Build and deploy a beautiful website in minutes :rocket:
code for "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans" submit to TMI2020.
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks
[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
《统计学习方法》的代码实现
Graduation Project: Image Compression based on LSTM-pytorch implement
[MICCAI21, TMI22] Mean-Teacher-Assisted Confident Learning
Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI.
[MICCAI'23] Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
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.