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Lucas Plagwitz

Showing results (1-10 of 26) with videos related to

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Studies in Health Technology and Informatics|August 23, 2024
Benchmarking Approaches: Time Series Versus Feature-Based Machine Learning in ECG Analysis on the PTB-XL DatasetLucas Bickmann, Lucas Plagwitz, Julian Varghese
Studies in Health Technology and Informatics|May 19, 2023
Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-ClassificationLucas Bickmann, Lucas Plagwitz, Julian Varghese
Nature Communications|March 6, 2024
Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasksSarah Sandmann, Sarah Riepenhausen, Lucas Plagwitz, et al.
Studies in Health Technology and Informatics|May 25, 2022
Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning ModelLucas Plagwitz, Alexander Brenner, Michael Fujarski, 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.
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.
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 25, 2022
Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement DisordersAlexander Brenner, Lucas Plagwitz, Michael Fujarski, et al.
Studies in Health Technology and Informatics|May 19, 2023
Classification of Parkinson's Disease from Voice - Analysis of Data Selection BiasAlexander Brenner, Catharina Marie Van Alen, Lucas Plagwitz, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Studies in Health Technology and Informatics|August 23, 2024
Benchmarking Approaches: Time Series Versus Feature-Based Machine Learning in ECG Analysis on the PTB-XL DatasetLucas Bickmann, Lucas Plagwitz, Julian Varghese
Studies in Health Technology and Informatics|May 19, 2023
Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-ClassificationLucas Bickmann, Lucas Plagwitz, Julian Varghese
Nature Communications|March 6, 2024
Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasksSarah Sandmann, Sarah Riepenhausen, Lucas Plagwitz, et al.
Studies in Health Technology and Informatics|May 25, 2022
Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning ModelLucas Plagwitz, Alexander Brenner, Michael Fujarski, 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.
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.
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 25, 2022
Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement DisordersAlexander Brenner, Lucas Plagwitz, Michael Fujarski, et al.
Studies in Health Technology and Informatics|May 19, 2023
Classification of Parkinson's Disease from Voice - Analysis of Data Selection BiasAlexander Brenner, Catharina Marie Van Alen, Lucas Plagwitz, et al.
Pageof 3