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Lucas Plagwitz

Showing results (11-20 of 26) with videos related to

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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.
Studies in Health Technology and Informatics|May 19, 2023
The Necessity of Multiple Data Sources for ECG-Based Machine Learning ModelsLucas Plagwitz, Tobias Vogelsang, Florian Doldi, et al.
NPJ Parkinson'S Disease|April 28, 2024
Author Correction: Machine Learning in the Parkinson's disease smartwatch (PADS) datasetJulian Varghese, Alexander Brenner, Michael Fujarski, et al.
NPJ Parkinson'S Disease|January 5, 2024
Machine Learning in the Parkinson's disease smartwatch (PADS) datasetJulian Varghese, Alexander Brenner, Michael Fujarski, 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.
European Journal of Nuclear Medicine and Molecular Imaging|June 28, 2025
Prognostic value of body composition out of PSMA-PET/CT in prostate cancer patients undergoing PSMA-therapyWolfgang Roll, Lucas Plagwitz, David Ventura, 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.
Clinical Research in Cardiology : Official Journal of the German Cardiac Society|March 30, 2022
Machine learning in the detection and management of atrial fibrillationFelix K Wegner, Lucas Plagwitz, Florian Doldi, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
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.
Studies in Health Technology and Informatics|May 19, 2023
The Necessity of Multiple Data Sources for ECG-Based Machine Learning ModelsLucas Plagwitz, Tobias Vogelsang, Florian Doldi, et al.
NPJ Parkinson'S Disease|April 28, 2024
Author Correction: Machine Learning in the Parkinson's disease smartwatch (PADS) datasetJulian Varghese, Alexander Brenner, Michael Fujarski, et al.
NPJ Parkinson'S Disease|January 5, 2024
Machine Learning in the Parkinson's disease smartwatch (PADS) datasetJulian Varghese, Alexander Brenner, Michael Fujarski, 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.
European Journal of Nuclear Medicine and Molecular Imaging|June 28, 2025
Prognostic value of body composition out of PSMA-PET/CT in prostate cancer patients undergoing PSMA-therapyWolfgang Roll, Lucas Plagwitz, David Ventura, 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.
Clinical Research in Cardiology : Official Journal of the German Cardiac Society|March 30, 2022
Machine learning in the detection and management of atrial fibrillationFelix K Wegner, Lucas Plagwitz, Florian Doldi, et al.
Pageof 3