Alexander Brenner

13 papers Journal 5Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography. Comput. Methods Programs Biomed. Alexander Brenner, Felix Knispel, Florian P. Fischer, Peter Rossmanith, Yvonne Weber, Henner Koch, Rainer Röhrig, Julian Varghese, Ekaterina Kutafina
2024	—	`conf`	Mixed Reality in Medical Education - Introduction of a Practical Course Module. MIE Alexander Brenner, Yannik Warnecke, Michael Fujarski, Julian Varghese
2024	J	`jnl`	The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering. CoRR Lucas Plagwitz, Lucas Bickmann, Michael Fujarski, Alexander Brenner, Warnes Gobalakrishnan, Lars Eckardt, Antonius Büscher, Julian Varghese
2023	—	`conf`	Classification of Parkinson's Disease from Voice - Analysis of Data Selection Bias. MIE Alexander Brenner, Catharina Marie van Alen, Lucas Plagwitz, Julian Varghese
2022	—	`conf`	Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality Detection. GMDS Felix Knispel, Alexander Brenner, Rainer Röhrig, Yvonne Weber, Julian Varghese, Ekaterina Kutafina
2022	—	`conf`	Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database. MIE Michael Fujarski, Christian Porschen, Lucas Plagwitz, Alexander Brenner, Narges Ghoreishi, Patrick Thoral, Harm-Jan de Grooth, Paul W. G. Elbers, Raphael Weiss, Melanie Meersch, Alexander Zarbock, Thilo Caspar von Groote, Julian Varghese
2022	J	`jnl`	Reducing a complex two-sided smartwatch examination for Parkinson's Disease to an efficient one-sided examination preserving machine learning accuracy. CoRR Alexander Brenner, Michael Fujarski, Tobias Warnecke, Julian Varghese
2022	J	`jnl`	Subgroup discovery of Parkinson's Disease by utilizing a multi-modal smart device system. CoRR Catharina Marie van Alen, Alexander Brenner, Tobias Warnecke, Julian Varghese
2022	—	`conf`	Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model. MIE Lucas Plagwitz, Alexander Brenner, Michael Fujarski, Julian Varghese
2022	—	`conf`	Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders. MIE Alexander Brenner, Lucas Plagwitz, Michael Fujarski, Tobias Warnecke, Julian Varghese
2021	—	`conf`	Towards Interpretable Machine Learning in EEG Analysis. GMDS Maged Mortaga, Alexander Brenner, Ekaterina Kutafina
2021	J	`jnl`	Tracking of Mental Workload with a Mobile EEG Sensor. Sensors Ekaterina Kutafina, Anne Heiligers, Radomir Popovic, Alexander Brenner, Bernd Hankammer, Stephan M. Jonas, Klaus Mathiak, Jana Zweerings
2018	—	`conf`	Automatic Recognition of Epileptiform EEG Abnormalities. MIE Alexander Brenner, Ekaterina Kutafina, Stephan M. Jonas