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Antonius Büscher

Showing results (1-10 of 19) with videos related to

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European Heart Journal. Case Reports|February 2, 2022
Lyme carditis manifesting with sinoatrial exit block: a case reportAntonius Büscher, Florian Doldi, Lars Eckardt, et al.
Studies in Health Technology and Informatics|May 17, 2025
Challenging Black-Box Models: Interpretable Explanations for ECG ClassificationLucas Bickmann, Lucas Plagwitz, Antonius Büscher, et al.
Studies in Health Technology and Informatics|May 23, 2026
Architecture-Specific Impact of Preprocessing on Machine Learning Models for ECG ClassificationLucas Bickmann, Lucas Plagwitz, Antonius Büscher, et al.
Studies in Health Technology and Informatics|August 23, 2024
Assessing the Reliability of Machine Learning Explanations in ECG Analysis Through Feature AttributionLucas Plagwitz, Lucas Bickmann, Antonius Büscher, et al.
Journal of Medical Internet Research|January 30, 2026
End-to-End Platform for Electrocardiogram Analysis and Model Fine-Tuning: Development and Validation StudyLucas Bickmann, Lucas Plagwitz, Antonius Büscher, et al.
Studies in Health Technology and Informatics|May 23, 2026
Generalization of ML Models Between ECG and VCG RepresentationLucas Plagwitz, Lucas Bickmann, Julian Varghese, et al.
Studies in Health Technology and Informatics|September 5, 2024
Zero-Shot LLMs for Named Entity Recognition: Targeting Cardiac Function Indicators in German Clinical TextsLucas Plagwitz, Philipp Neuhaus, Kemal Yildirim, et al.
European Heart Journal. Digital Health|May 21, 2026
The Rlign algorithm for enhanced electrocardiogram analysis through heart rate-corrected ECG alignment for explainable classification and clusteringLucas Plagwitz, Lucas Bickmann, Michael Fujarski, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|March 24, 2026
Response to 'promising advances and remaining challenges in AI-driven QTc estimation' by Zekai YuLucas Plagwitz, Florian Doldi, Jannes Magerfleisch, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|October 27, 2025
QTcNet: a deep learning model for direct heart rate corrected QT interval estimationLucas Plagwitz, Florian Doldi, Jannes Magerfleisch, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
European Heart Journal. Case Reports|February 2, 2022
Lyme carditis manifesting with sinoatrial exit block: a case reportAntonius Büscher, Florian Doldi, Lars Eckardt, et al.
Studies in Health Technology and Informatics|May 17, 2025
Challenging Black-Box Models: Interpretable Explanations for ECG ClassificationLucas Bickmann, Lucas Plagwitz, Antonius Büscher, et al.
Studies in Health Technology and Informatics|May 23, 2026
Architecture-Specific Impact of Preprocessing on Machine Learning Models for ECG ClassificationLucas Bickmann, Lucas Plagwitz, Antonius Büscher, et al.
Studies in Health Technology and Informatics|August 23, 2024
Assessing the Reliability of Machine Learning Explanations in ECG Analysis Through Feature AttributionLucas Plagwitz, Lucas Bickmann, Antonius Büscher, et al.
Journal of Medical Internet Research|January 30, 2026
End-to-End Platform for Electrocardiogram Analysis and Model Fine-Tuning: Development and Validation StudyLucas Bickmann, Lucas Plagwitz, Antonius Büscher, et al.
Studies in Health Technology and Informatics|May 23, 2026
Generalization of ML Models Between ECG and VCG RepresentationLucas Plagwitz, Lucas Bickmann, Julian Varghese, et al.
Studies in Health Technology and Informatics|September 5, 2024
Zero-Shot LLMs for Named Entity Recognition: Targeting Cardiac Function Indicators in German Clinical TextsLucas Plagwitz, Philipp Neuhaus, Kemal Yildirim, et al.
European Heart Journal. Digital Health|May 21, 2026
The Rlign algorithm for enhanced electrocardiogram analysis through heart rate-corrected ECG alignment for explainable classification and clusteringLucas Plagwitz, Lucas Bickmann, Michael Fujarski, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|March 24, 2026
Response to 'promising advances and remaining challenges in AI-driven QTc estimation' by Zekai YuLucas Plagwitz, Florian Doldi, Jannes Magerfleisch, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|October 27, 2025
QTcNet: a deep learning model for direct heart rate corrected QT interval estimationLucas Plagwitz, Florian Doldi, Jannes Magerfleisch, et al.
Pageof 2