Michael Fujarski

According to our database, Michael Fujarski authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Rlign Algorithm for Enhanced Electrocardiogram Analysis through R-Peak Alignment for Explainable Classification and Clustering.

Lucas Plagwitz, Lucas Bickmann, Michael Fujarski, Alexander Brenner, Warnes Gobalakrishnan, Lars Eckardt, Antonius Büscher, Julian Varghese

CoRR, 2024

Mixed Reality in Medical Education - Introduction of a Practical Course Module.

Alexander Brenner, Yannik Warnecke, Michael Fujarski, Julian Varghese

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2023

The Necessity of Multiple Data Sources for ECG-Based Machine Learning Models.

Lucas Plagwitz, Tobias Vogelsang, Florian Doldi, Lucas Bickmann, Michael Fujarski, Lars Eckardt, Julian Varghese

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

DeepTSE: A Time-Sensitive Deep Embedding of ICU Data for Patient Modeling and Missing Data Imputation.

Michael Fujarski, Christian Porschen, Lucas Plagwitz, Daniel Stroth, Catharina Marie van Alen, Mahan Sadjadi, Raphael Weiss, Alexander Zarbock, Thilo Caspar von Groote, Julian Varghese

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

2022

Reducing a complex two-sided smartwatch examination for Parkinson's Disease to an efficient one-sided examination preserving machine learning accuracy.

Alexander Brenner, Michael Fujarski, Tobias Warnecke, Julian Varghese

CoRR, 2022

Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model.

Lucas Plagwitz, Alexander Brenner, Michael Fujarski, Julian Varghese

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Prediction of Acute Kidney Injury in the Intensive Care Unit: Preliminary Findings in a European Open Access Database.

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

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders.

Alexander Brenner, Lucas Plagwitz, Michael Fujarski, Tobias Warnecke, Julian Varghese

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

2021

Sensor Validation and Diagnostic Potential of Smartwatches in Movement Disorders.

Julian Varghese, Catharina Marie van Alen, Michael Fujarski, Georg Stefan Schlake, Julitta Sucker, Tobias Warnecke, Christine Thomas

Sensors, 2021

2020

StudyPortal - Geovisualization of Study Research Networks.

Julian Varghese, Michael Fujarski, Martin Dugas

J. Medical Syst., 2020

The Smart Device System for Movement Disorders: Preliminary Evaluation of Diagnostic Accuracy in a Prospective Study.

Julian Varghese, Michael Fujarski, Tim Hahn, Martin Dugas, Tobias Warnecke

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019

StudyPortal - A Novel Method to Visualize Study Research Networks.

Julian Varghese, Michael Fujarski, Martin Dugas

Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019