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

Myocardial Infarction Detection

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

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

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

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

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

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

single cell experiments in STEMI participants

Spatial transcriptomics of cardiac tissue 24 h after ischemic injury

Graph Neural Networks for Mycardial Infarction Prediction

Hyaluronan Mediated Motility Receptor (Hmmr) overexpression