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Michael Fujarski
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2020 – today
- 2024
- [i2]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]Lucas Plagwitz, Tobias Vogelsang, Florian Doldi, Lucas Bickmann, Michael Fujarski, Lars Eckardt, Julian Varghese:
The Necessity of Multiple Data Sources for ECG-Based Machine Learning Models. MIE 2023: 33-37 - [c6]Michael Fujarski, Christian Porschen, Lucas Plagwitz, Daniel Stroth, Catharina Marie van Alen, Mahan Sadjadi, Raphael Weiss, Alexander Zarbock, Thilo Caspar von Groote, Julian Varghese:
DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation. MIE 2023: 237-241 - 2022
- [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 - [i1]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) - 2021
- [j2]Julian Varghese, Catharina Marie van Alen, Michael Fujarski, Georg Stefan Schlake, Julitta Sucker, Tobias Warnecke, Christine Thomas:
Sensor Validation and Diagnostic Potential of Smartwatches in Movement Disorders. Sensors 21(9): 3139 (2021) - 2020
- [j1]Julian Varghese, Michael Fujarski, Martin Dugas:
StudyPortal - Geovisualization of Study Research Networks. J. Medical Syst. 44(1): 22 (2020) - [c2]Julian Varghese, Michael Fujarski, Tim Hahn, Martin Dugas, Tobias Warnecke:
The Smart Device System for Movement Disorders: Preliminary Evaluation of Diagnostic Accuracy in a Prospective Study. MIE 2020: 889-893
2010 – 2019
- 2019
- [c1]Julian Varghese, Michael Fujarski, Martin Dugas:
StudyPortal - A Novel Method to Visualize Study Research Networks. EFMI-STC 2019: 163
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last updated on 2024-08-25 19:11 CEST by the dblp team
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