Statistical data analysis of the myocardial infarction for life or death prognosis using PCA method

Classifier for detection and prediction of the type of MI or NORM from 12-lead ECG beats.

Graph Neural Networks for Mycardial Infarction Prediction

Spatial transcriptomics of cardiac tissue 24 h after ischemic injury

Use of segmentation models to extract the epicardium in low-quality echocardiograms. Dataset used: https://www.kaggle.com/datasets/aysendegerli/hmcqu-dataset

MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR images

Hyaluronan Mediated Motility Receptor (Hmmr) overexpression

Bachelor Thesis in Biomedical Engineering about Myocardial Ischemia Detection Using DWT Feature Extraction and Artificial Neural Networks Classifier

Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"

Myocardial Infarction Detection

single cell experiments in STEMI participants

MS and LVEF classification for ECG image using multi-task deep learning. Demo website (in Thai) ↓

Repository contains my MATLAB files for the hand-coded Myocardial-Infarction detection model trained on EKG data whose features were carefully engineered for the EEL5813 - Neural Networks: Algorithms and Applications course, PROJECT03