Michael Nissen

Machine Learning and Data Analytics Lab Department of Palliative Medicine Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich

Smartphone pregnancy apps: systematic analysis of features, scientific guidance, commercialization, and user perception (2024) Nissen M, Huang SY, Jäger K, Flaucher M, Titzmann A, Bleher H, Pontones C, et al. Journal article Systematic Comparison of ECG Delineation Algorithm Performance on Smartwatch Data (2024) Jäger K, Nissen M, Flaucher M, Graf L, Joanidopoulos J, Anneken L, Hübner H, et al. Journal article Power-MF: Robust fetal QRS detection from non-invasive fetal electrocardiogram recordings (2024) Jäger K, Nissen M, Rahm S, Titzmann A, Fasching P, Beilner J, Eskofier B, Leutheuser H Journal article Usability and Perception of a Wearable-Integrated Digital Maternity Record App in Germany: User Study (2023) Nissen M, Perez CA, Jäger K, Bleher H, Flaucher M, Hübner H, Danzberger N, et al. Journal article Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data (2023) Nissen M, Barrios Campo N, Flaucher M, Jäger K, Titzmann A, Blunck D, Fasching P, et al. Journal article, Original article Evaluating the Effectiveness of Mobile Health in Breast Cancer Care: A Systematic Review (2023) Flaucher M, Zakreuskaya A, Nissen M, Mocker A, Fasching P, Beckmann M, Eskofier B, Leutheuser H Journal article, Review article Feasibility and Acceptance of Self-Guided Mobile Ultrasound among Pregnant Women in Routine Prenatal Care (2023) Pontones C, Titzmann A, Hübner H, Danzberger N, Rübner M, Häberle L, Eskofier B, et al. Journal article WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography (2023) Nissen M, Flaucher M, Jäger K, Hübner H, Danzberger N, Titzmann A, Pontones C, et al. Conference contribution Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning (2023) Gabler E, Nissen M, Altstidl TR, Titzmann A, Packhäuser K, Maier A, Fasching P, et al. Conference contribution, Conference Contribution Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG (2022) Jäger K, Nissen M, Richer R, Rahm S, Titzmann A, Fasching P, Eskofier B, Leutheuser H Conference contribution, Conference Contribution