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Alexander Brenner

Showing results (11-20 of 18) with videos related to

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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.
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.
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.
Journal of Neurosurgery. Case Lessons|April 14, 2025
Diagnosis and management of esophageal perforation with necrotizing fasciitis in traumatic cervical spine injuries: illustrative caseArman Kavoussi, Ashley Ricciardelli, Alex Flores, et al.
Sensors (Basel, Switzerland)|August 10, 2021
Tracking of Mental Workload with a Mobile EEG SensorEkaterina Kutafina, Anne Heiligers, Radomir Popovic, et al.
Computer Methods and Programs in Biomedicine|October 12, 2024
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalographyAlexander Brenner, Felix Knispel, Florian P Fischer, et al.
Studies in Health Technology and Informatics|May 25, 2022
Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access DatabaseMichael Fujarski, Christian Porschen, Lucas Plagwitz, et al.
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Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
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.
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.
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.
Journal of Neurosurgery. Case Lessons|April 14, 2025
Diagnosis and management of esophageal perforation with necrotizing fasciitis in traumatic cervical spine injuries: illustrative caseArman Kavoussi, Ashley Ricciardelli, Alex Flores, et al.
Sensors (Basel, Switzerland)|August 10, 2021
Tracking of Mental Workload with a Mobile EEG SensorEkaterina Kutafina, Anne Heiligers, Radomir Popovic, et al.
Computer Methods and Programs in Biomedicine|October 12, 2024
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalographyAlexander Brenner, Felix Knispel, Florian P Fischer, et al.
Studies in Health Technology and Informatics|May 25, 2022
Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access DatabaseMichael Fujarski, Christian Porschen, Lucas Plagwitz, et al.
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