Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"
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Updated
Sep 11, 2023 - Python
Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"
Myocardial Infarction Detection
MS and LVEF classification for ECG image using multi-task deep learning. Demo website (in Thai) ↓
MyoPS-Net: Myocardial Pathology Segmentation with Flexible Combination of Multi-Sequence CMR images
Classifier for detection and prediction of the type of MI or NORM from 12-lead ECG beats.
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
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
Hyaluronan Mediated Motility Receptor (Hmmr) overexpression
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