| Evaluating 3D human motion capture on mobile devices LM Reimer, M Kapsecker, T Fukushima, SM Jonas Applied Sciences 12 (10), 4806, 2022 | 6 | 2022 |
| Parking Prediction in the City of Melbourne C Dosch, M Farghal, M Kapsecker, C Lorenz, A Mosharafa Technische Universitaet Muenchen, 2017 | 3 | 2017 |
| Guideline-Based Cardiovascular Risk Assessment Delivered by an mHealth App: Development Study F Starnecker, LM Reimer, L Nissen, M Jovanović, M Kapsecker, ... JMIR cardio 7 (1), e50813, 2023 | 1 | 2023 |
| Federated Learning with Swift: An Extension of Flower and Performance Evaluation M Kapsecker, DN Nugraha, C Weinhuber, N Lane, SM Jonas SoftwareX 24, 101533, 2023 | 1 | 2023 |
| Evaluation of an Explainable Tree-Based AI Model for Thrombophilia Diagnosis and Thrombosis Risk Stratification HL McRae, F Kahl, M Kapsecker, H Rühl, SM Jonas, B Pötzsch Blood 142, 2300, 2023 | 1 | 2023 |
| QRS detection in single-lead, telehealth electrocardiogram signals: benchmarking open-source algorithms F Kristof, M Kapsecker, L Nissen, J Brimicombe, MR Cowie, Z Ding, ... medRxiv, 2023.11. 07.23298202, 2023 | 1 | 2023 |
| Towards Preventing Gaps in Health Care Systems through Smartphone Use: Analysis of ARKit for Accurate Measurement of Facial Distances in Different Angles L Nissen, J Hübner, J Klinker, M Kapsecker, A Leube, ... Sensors 23 (9), 4486, 2023 | 1 | 2023 |
| Evaluation of an Explainable Tree-based AI Model for Optimizing Outpatient Thrombophilia Diagnosis and Thrombosis Risk Stratification HL McRae, F Kahl, M Kapsecker, H Rühl, SM Jonas, B Pötzsch Hämostaseologie 44 (S 01), T-21-01, 2024 | | 2024 |
| PeakSwift: Mobile Detection of R-peaks in Single Lead Electrocardiograms M Kapsecker, N Charushnikov, L Nissen, SM Jonas SoftwareX 25, 101608, 2024 | | 2024 |
| SAFMA: Secure Aggregation Framework for mHealth Applications M Kapsecker, B Strobel, S Jonas 67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik …, 2022 | | 2022 |
| Analysis of Mobile Typing Characteristics in the Light of Cognition M Kapsecker, S Osterlehner, SM Jonas 2022 IEEE International Conference on Digital Health (ICDH), 87-95, 2022 | | 2022 |
| Application of Machine Learning in Computational Diabetic Retinopathy Detection M Kapsecker | | 2016 |
| A Feature Extraction Based Approach for the Computational Detection of Diabetic Retinopathy in Retinal Image Scans M Kapsecker, M Liebmann | | |
Dr. Stephan M. JonasDepartment of Digital Medicine, University Clinic BonnVerified email at ukbonn.de
