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

This repo offers a streamlined segmentation pipeline combining YOLO for region prompting with SAM for high-resolution mask generation — tailored for medical imaging. It’s lightweight, adaptable, and ideal for tasks like lesion or scar localization and segmentation.

MS and LVEF classification for ECG image using multi-task deep learning. Demo website (not included model inference, in Thai) ↓

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

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

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.

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

Hyaluronan Mediated Motility Receptor (Hmmr) overexpression

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

This study presents a comparative analysis of static and dynamic ensemble learning for predicting myocardial infarction mortality. To mitigate the challenges of class imbalance, the research implements a comprehensive cost-sensitive framework that operates at the data, algorithmic, and evaluation levels.

Membuat model yang dapat melakukan deteksi rekaman suara myocardial infarction

Graph Neural Networks for Mycardial Infarction Prediction

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

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.