Habib Mrad's Projects
Caffe: a fast open framework for deep learning.
A repository of my Coursera latex code and notes
Evaluation code for CAMELYON16 challenge.
Digital pathology image viewer with support for human/machine generated annotations and markups.
Keras Deep Learning neural network model for University of Wisconsin Cancer data that uses the Integrated Variants library to explain predictions made by a trained model
Development of computational analysis tool to use genomics and image data for classification and finding cancer markers
Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques. Capstone original project for Udacity Machine Learning Engineer Nanodegree.
Computer Vision and Deep Learning techniques to accurately classify vehicle damage to facilitate claims triage by training convolution neural networks
The objective of this project was to analyze the Cardiac Arrhythmia dataset obtained from University of California Irvine Machine Learning Repository, so as to detect if the patient is suffering from Arrhythmia or not (Model-1) and to correctly classify the patient in 1 of 5 classes of Cardiovascular Arrhythmias (Model-2) on basis of their ECG readings.
This repository contains the project files for the Capstone Project - Cardiac Arrhythmia ML as part of Udacity's Machine Learning Nanodegree.
Learning about elucidating, diagnosing, and treating the electrical activities of the heart
jupyter notebook for cardiac mri segmentation in Pytorch
Right Ventricle Cardiac MRI Segmentation
Convolutional Neural Networks for Cardiac Segmentation
Deep learning has found it's use in the medical imaging community for diagnostic and post processing methods. One such application is the medical image segmentation using Unet.
Code for the analysis of cardiac motion and cardiac pathology classification
This repository contains an image-based instantaneous phase estimation method for gating and temporal super-resolution of cardiac ultrasound
A deep learning-based fully unsupervised method for cardiac tagging MRI motion tracking.
CardIO is a library for data science research of heart signals
š A collection of solved cardio-tasks across different languages
Cardiovascular disease dataset analysis for Data Science for Health (COSC 89.20)
Classifier using LogisticRegression to classify fetal state in Cardioctography
Deep Learning for cardiology research papers
Deep Learning Scientific Research - Detecting Cardiac pathologies on ECG (electrocardiogram) using neural networks
AAC communication system with text-to-speech for the browser
Repo for https://www.kaggle.com/c/intel-mobileodt-cervical-cancer-screening
Scripts and notebooks for the Cervical Cancer Screening kaggle competition