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cevep

This repository contains the code to reproduce the experiments of "Identification of Patients with Recent Cerebrovascular Symptoms by Combined Clinical and Carotid Plaque’s Calcium Imaging Data Using Interpretable Machine Learning", currently under review at JACC: Cardiovascular Imaging.

cvd-risk-scores

A Python package for computing cardiovascular disease risk using clinically validated models

deepneumo-service

Pneumonia classification as a service

icm_nicm_ml

This repository contains the code to reproduce the experiments of "Cine-Cardiac Magnetic Resonance to distinguish between ischemic and non-ischemic cardiomyopathies: a machine learning approach".

iph

This repository contains the code to reproduce the experiments of "An Interpretable Machine Learning Approach to Identify Patients with Recent Cerebrovascular Symptoms from Anatomical Features of Carotid Plaques"

landmark_localization

An unofficial PyTorch implementation of "Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images".

modelsight

Better insights into Machine Learning models performance

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subanalysis

📊 A d3 visualization for tv series words-per-hour analysis

tomogeom

📐 A Python toolkit for effortless management of geometric information in tomographic imaging (e.g., CT, MRI).

usedcarpriceprediction

🚗 Solving the problem of predicting the price of a used car using Sklearn's supervised machine learning techniques.