StudyPortal - A Novel Method to Visualize Study Research Networks. - Julian Varghese; Michael Fujarski; Martin Dugas (EFMI-STC, 2019)

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 (MIE, 2020)

StudyPortal - Geovisualization of Study Research Networks. - Julian Varghese; Michael Fujarski; Martin Dugas (J. Medical Syst., 2020)

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)

Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders. - Alexander Brenner; Lucas Plagwitz; Michael Fujarski; Tobias Warnecke; Julian Varghese (MIE, 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; et al. (MIE, 2022)

Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model. - Lucas Plagwitz; Alexander Brenner; Michael Fujarski; Julian Varghese (MIE, 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)

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 (MIE, 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 (MIE, 2023)

Mixed Reality in Medical Education - Introduction of a Practical Course Module. - Alexander Brenner; Yannik Warnecke; Michael Fujarski; Julian Varghese (MIE, 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)