Implementation of various models for the classification of single-lead and multi-lead ECGs using the Physionet 2021 challenge data. Repository for my Master Thesis @MaastrichtUniversity.
Official Pytorch implementation of DSAIL_SNU Team (PhysioNet Challenge 2020)
A Unified Joint Contrastive Triplet Loss with Temporal and Frequency Signal Fusion for Diagnosing Heart Murmurs (ICASSP-2015)
Code for the CinCo Amigos team's submission to the PhysioNet Challenge 2025, using Two-Stage Domain Adversarial Learning to detect Chagas disease from ECG data.
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