chunrui-zou Goto Github PK

3d-unet--tensorflow

3D Unet for Isointense Infant Brain Image Segmentation

bronchinet

Airway segmentation from chest CTs using deep Convolutional Neural Networks

chunrui-zou.github.io

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid-classifier

An efficient machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images

covid-detection-gompertz-function-ensemble

Based on our paper "Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-Scans".

covid-severity

Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

covid19_xp

Deep learning model for classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image:

diagnosis_covid19

OpenCovidDetector is an opensource COVID-19 diagnosis system implementing on pytorch, which is also as presented in our paper: Development and evaluation of an artificial intelligence system for COVID-19 diagnosis. Nat Commun 11, 5088 (2020).(https://doi.org/10.1038/s41467-020-18685-1)

fenics-drl

keras-unet

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

machine-learning-applied-to-cfd

Examples of how to use machine learning algorithms in computational fluid dynamics.

machine_learning_fluid_dynamics

A curated list of awesome Machine Learning projects in Fluid Dynamics

medical_image_processing

This repo. collected medical image processing codes and scripts created in my work.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

phy-net

compressing physics with neural networks

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

someweirdsites.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

steady-state-flow-with-neural-nets

A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation

vgn

Deep Vessel Segmentation by Learning Graphical Connectivity