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Lucas Bickmann

Showing results (11-20 of 17) with videos related to

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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.
Nature Medicine|April 23, 2025
Benchmark evaluation of DeepSeek large language models in clinical decision-makingSarah Sandmann, Stefan Hegselmann, 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.
Studies in Health Technology and Informatics|May 23, 2026
DicomShield: A Pseudonymization Proxy for the Secondary Use of Imaging Data in the Research ContextJohannes Benedict Oehm, Lucas Bickmann, Alexander Brenner, 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.
European Heart Journal|March 29, 2025
Deep Learning Electrocardiogram Model for Risk Stratification of Coronary Revascularization Need in the Emergency DepartmentAntonius Büscher, Lucas Plagwitz, Kemal Yildirim, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
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.
Nature Medicine|April 23, 2025
Benchmark evaluation of DeepSeek large language models in clinical decision-makingSarah Sandmann, Stefan Hegselmann, 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.
Studies in Health Technology and Informatics|May 23, 2026
DicomShield: A Pseudonymization Proxy for the Secondary Use of Imaging Data in the Research ContextJohannes Benedict Oehm, Lucas Bickmann, Alexander Brenner, 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.
European Heart Journal|March 29, 2025
Deep Learning Electrocardiogram Model for Risk Stratification of Coronary Revascularization Need in the Emergency DepartmentAntonius Büscher, Lucas Plagwitz, Kemal Yildirim, et al.
Pageof 2