Analysis of Mobile Typing Characteristics in the Light of Cognition. - Maximilian Kapsecker; Simon Osterlehner; Stephan M. Jonas (ICDH, 2022)

Towards Preventing Gaps in Health Care Systems through Smartphone Use: Analysis of ARKit for Accurate Measurement of Facial Distances in Different Angles. - Leon Nissen; Julia Hübner; Jens Klinker; Maximilian Kapsecker; Alexander Leube; Max Schneckenburger; Stephan M. Jonas (Sensors, 2023)

Federated Learning with Swift: An Extension of Flower and Performance Evaluation. - Maximilian Kapsecker; Daniel N. Nugraha; Christoph Weinhuber; Nicholas D. Lane; Stephan M. Jonas (SoftwareX, 2023)

PeakSwift: Mobile Detection of R-peaks in Single Lead Electrocardiograms. - Maximilian Kapsecker; Nikita Charushnikov; Leon Nissen; Stephan M. Jonas (SoftwareX, 2024)

Disentangled representational learning for anomaly detection in single-lead electrocardiogram signals using variational autoencoder. - Maximilian Kapsecker; Matthias C. Möller; Stephan M. Jonas (Comput. Biol. Medicine, 2025)

Facial Landmark Analysis for Detecting Visual Impairment in Mobile LogMAR Test. - Maximilian Kapsecker; Elena Mille; Florian Schweizer; Jens Klinker; Joe Yu; Alexander Leube; Stephan M. Jonas (IEEE J. Biomed. Health Informatics, 2025)