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• Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study
  2026
• A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking
  2026
• ECG-LLM -- training and evaluation of domain-specific large language models for electrocardiography
  2025
• Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL
  2020
• Self-supervised representation learning from 12-lead ECG data
  2021
• Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
  2023
• Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata
  2023
• Using explainable AI to investigate electrocardiogram changes during healthy aging -- from expert features to raw signals
  2023
• Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
  2023
• Explaining Time Series Classification Predictions via Causal Attributions
  2024
• Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features
  2024