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

single cell experiments in STEMI participants

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

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

Spatial transcriptomics of cardiac tissue 24 h after ischemic injury

Membuat model yang dapat melakukan deteksi rekaman suara myocardial infarction

Graph Neural Networks for Mycardial Infarction Prediction

The R code used for analysis of mouse single cell gene expression data. Published article: Testosterone exacerbates neutrophilia and cardiac injury in myocardial infarction via actions in bone marrow, Nat. Comm. Publication date: 5 feb 2025. Open access.

This project focuses on the detection of myocardial infarction (heart attack) using machine learning techniques. We leverage the PTB diagnostic database, a widely used dataset in the field of cardiology.

Hyaluronan Mediated Motility Receptor (Hmmr) overexpression

This is the repository for the 2022 Duke/NC State Summer Institute for Biostatistics Hackathon (Group D).