Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

webpage for maintaining the list of openly available DL, ML, RL, Vision, NLP, Optimization courses

Large-Scale Multi-Class Image-Based Cell Classification with Deep Learning

The NTUA Parkinson's Dataset

⚕️📊 A simple overlay tool that adds debugging information over the canvas #CornerstoneJS

Experimental Platform for Human AI Collaboration - Code for the paper "Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging" published at FAccT 2022

Health AI

Egyptian Coffins website - Jekyll, material, bootstrap, jquery

Pediatric pneumonia image classification with (strongly) imbalanced data via Pytorch 🫁

A web application which detects brain tumours and projects the model of the brain in AR.

A patch-based Gastroscopic Classifier web app with Python backend using Flask micro-framework and PyTorch modified Resnet-34 Convolutional Neural Network.

My Second WebPage Templet depending on HTML + CSS only. Personal webpage containing all information that your Patients need "Education & Experiance & Skills & Portfolio & Blog & Contacts" available for Doctors, Dentists, Pharmacists and Surgeons. With the vision of Eng/ Osama Elzero

A repository for an automated system using object detection and machine learning techniques to diagnose wrist abnormalities in children, adolescents, and young adults, providing high accuracy and precision in diagnosis through a user-friendly mobile application.

A Progressive Web App DICOM Viewer/Converter

An AI integrated website, where the user will get to know whether he or she is infected by viruses or diseases based on their medical documentations.

Multiple Disease Diagnosis System using Medical Images

This project is one of the projects required for AI for Business Nanodegree

[AIIM] Recall & Precision results of the UTA7 statistical analysis.

This is a repository for the opensource book project of 감염병 재난에 대응하기 위한 의료 인공지능의 기술 표준 동향(Current Trends and Standardization Efforts of Medical Artificial Intelligence on Infectious Disease Outbreaks, including COVID-19).