ramyh Goto Github PK
Name: Ramy Hussein
Type: User
Company: Stanford University
Location: Mountain View, CA, USA
Name: Ramy Hussein
Type: User
Company: Stanford University
Location: Mountain View, CA, USA
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
3D Unet for Isointense Infant Brain Image Segmentation
3D Unet biomedical segmentation model for BraTS2019
3D Unet biomedical segmentation model powered by tensorpack with fast io speed
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
AI app to detect breast cancer in histopathological database
Data Structures and Algorithms in Python
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
A Computer Vision model made in PyTorch that detects Pneumonia in Chest X-Rays
Epileptic Seizure Detection: A Deep Learning Approach
This repository demonstrates how to accurately predict the Time-series EEG data for Epileptic Seizure Prediction
This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
State-of-the-art 2D and 3D Face Analysis Project
:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions
Implementation of the coding interview questions for the "Leetcode in python 50 Algorithms Coding Interview Questions" Course on udemy
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
How to train an object detection model with mmdetection
Models and examples built with TensorFlow
3D encoder-decoder networks to predict Brain PET from multi-contrast MRI
Leetcode solutions
Fusing Histology and Genomics via Deep Learning.
This repository demonstrates how to accurately recognize the different types of acoustic PD signals in noisy environments. The results are very interesting; the proposed method achieves classification accuracies in the range 99.33%-100.00% for noise-corrupted data of SNR -40:30dB.
Bash and python scripts to run a keras-implemented V-Net 3D segmentation model.
SC-GAN: 3D self-attention conditional GAN with spectral normalization for multi-modal neuroimaging synthesis
Synthetic Data Generation for tabular, relational, time series 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.