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Type: User
Bio: AI CV
Type: User
Bio: AI CV
Code for FSL model DAPNA (ICML2020).
Structural Similarity based Anatomical and Functional Brain Imaging Fusion
A timeline showing the development of Generative Adversarial Networks (GAN).
Code for the paper 'Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation'
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
Matlab code used for the paper "Unscented Kalman Filtering on Lie Groups for Fusion of IMU and Monocular Vision"
code for "IFCNN: A General Image Fusion Framework Based on Convolutional Neural Network"
Image Registration for Astronomy
IEEE ISBI 2020 SimpleITK Tutorial
Image-and-Spatial Transformer Networks
Code for Iterative Reasoning Paper (CVPR 2018)
Official Implementation for label-assemble in Medical Imaging Meets NeurIPS 2022
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification (https://arxiv.org/pdf/1711.07027.pdf)
Learn OpenCV : C++ and Python Examples
Federated Learning with Local and Global Representations
This is supplementary material for the manuscript: "Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks" M. Anthimopoulos, S. Christodoulidis, L. Ebner, A. Christe and S. Mougiakakou IEEE Journal of Biomedical and Health infomatics (2018)
Source code about machine learning and security.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
DermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for skin lesion diagnosis.
a project for developing registration tools with convolutional neural networks
Medical image registration related books, tutorials, papers, datasets, toolboxes and deep learning open source codes
The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"
MedicalZooPytorch: A pytorch-based deep learning frameowrk for multi-modal 2D/3D medical image segmentation
MICCAI 2018 Computational Precision Medicine Challenge: Combined Pathology and Radiology Classification
Code for tutorial at MICCAI 2019
Machine learning approaches for data fusion of imaging and non-imaging data for clinical decision support
The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at
Pytorch implementation of MixNMatch
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.