D. Dzikowicz

Interpretable Deep Learning for Prehospital ST-Elevation Myocardial Infarction (STEMI) Detection from 12-Lead ECG

Enhancing Cross-Dataset Generalization of 12-Lead ECG Classification Using Advanced Augmentations

TRACE: Expert-Aligned ECG Representation Learning with Rigorous Benchmarking and Real-World Validation in Acute Cardiac Care

TRACE (Text-Reinforced Analysis of Cardio ECGs) is a multimodal electrocardiogram (ECG) representation model that learns clinically grounded signal embeddings for downstream cardiac classification. It is designed to address the limitations of existing CLIP-style training, which often struggles with noisy clinical text...

Brugada Detection from 12-Lead ECG Using a Multi-Scale Hybrid Transformer with Explainability

An end-to-end Multi-Scale Hybrid Transformer model was developed to capture both local morphological features and long-range temporal dependencies across multiple leads to demonstrate robust performance in detecting Brugada patterns from raw ECG inputs.

Dynamic Risk Assessment for the Development of Persistent Atrial Fibrillation Using Statistical and Machine Learning Approaches

CIED‐detected AF burden is strongly associated with progression to persistent AF, and ML‐based analysis of 6‐month device data enables accurate, point‐in‐time risk stratification to support earlier and more targeted clinical management.