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2020 – today
- 2024
[j2]Alexander Brenner
, Felix Knispel, Florian P. Fischer, Peter Rossmanith, Yvonne Weber, Henner Koch, Rainer Röhrig, Julian Varghese, Ekaterina Kutafina:
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalography. Comput. Methods Programs Biomed. 257: 108448 (2024)- [c8]Alexander Brenner, Yannik Warnecke, Michael Fujarski, Julian Varghese:
Mixed Reality in Medical Education - Introduction of a Practical Course Module. MIE 2024: 1515-1516 - [i3]Lucas Plagwitz, Lucas Bickmann, Michael Fujarski, Alexander Brenner, Warnes Gobalakrishnan, Lars Eckardt, Antonius Büscher, Julian Varghese:
The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering. CoRR abs/2407.15555 (2024) - 2023
- [c7]Alexander Brenner, Catharina Marie van Alen, Lucas Plagwitz, Julian Varghese:
Classification of Parkinson's Disease from Voice - Analysis of Data Selection Bias. MIE 2023: 127-128 - 2022
- [c6]Felix Knispel, Alexander Brenner, Rainer Röhrig, Yvonne Weber, Julian Varghese, Ekaterina Kutafina:
Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality Detection. GMDS 2022: 33-40 - [c5]Alexander Brenner, Lucas Plagwitz, Michael Fujarski, Tobias Warnecke, Julian Varghese:
Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders. MIE 2022: 104-108 - [c4]Lucas Plagwitz, Alexander Brenner, Michael Fujarski, Julian Varghese:
Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model. MIE 2022: 109-113 - [c3]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:
Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database. MIE 2022: 139-140 - [i2]Alexander Brenner, Michael Fujarski, Tobias Warnecke, Julian Varghese:
Reducing a complex two-sided smartwatch examination for Parkinson's Disease to an efficient one-sided examination preserving machine learning accuracy. CoRR abs/2205.05361 (2022) - [i1]Catharina Marie van Alen, Alexander Brenner, Tobias Warnecke, Julian Varghese:
Subgroup discovery of Parkinson's Disease by utilizing a multi-modal smart device system. CoRR abs/2205.05961 (2022) - 2021
- [j1]Ekaterina Kutafina, Anne Heiligers, Radomir Popovic, Alexander Brenner, Bernd Hankammer, Stephan M. Jonas, Klaus Mathiak, Jana Zweerings:
Tracking of Mental Workload with a Mobile EEG Sensor. Sensors 21(15): 5205 (2021) - [c2]Maged Mortaga, Alexander Brenner, Ekaterina Kutafina:
Towards Interpretable Machine Learning in EEG Analysis. GMDS 2021: 32-38
2010 – 2019
- 2018
- [c1]Alexander Brenner, Ekaterina Kutafina, Stephan M. Jonas:
Automatic Recognition of Epileptiform EEG Abnormalities. MIE 2018: 171-175
Coauthor Index
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