Rare event simulation for probabilistic models of T-cell activation. - Florian Lipsmeier (2010)

Human Activity Recognition from Sensor-Based Large-Scale Continuous Monitoring of Parkinson's Disease Patients. - Wei-Yi Cheng; Alf Scotland; Florian Lipsmeier; Timothy Kilchenmann; Liping Jin; Jens Schjodt-Eriksen; Detlef Wolf; Yan-Ping Zhang Schärer; Ignacio Fernández García; Juliane Siebourg-Polster; Jay Soto; Lynne Verselis; et al. (CHASE, 2017)

Large-Scale Continuous Mobility Monitoring of Parkinson's Disease Patients Using Smartphones. - Wei-Yi Cheng; Florian Lipsmeier; Andrew Creigh; Alf Scotland; Timothy Kilchenmann; Liping Jin; Jens Schjodt-Eriksen; Detlef Wolf; Yan-Ping Zhang Schärer; Ignacio Fernández García; Juliane Siebourg-Polster; Jay Soto; et al. (MobiHealth, 2017)

A quality metric for heart rate variability from photoplethysmogram sensor data. - Mattia Zanon; Lito Kriara; Florian Lipsmeier; David Nobbs; Christopher Chatham; Joerg F. Hipp; Michael Lindemann (EMBC, 2020)

Outcome measures based on digital health technology sensor data: data- and patient-centric approaches. - Kirsten I. Taylor; Hannah Staunton; Florian Lipsmeier; David Nobbs; Michael Lindemann (npj Digit. Medicine, 2020)

Gait Characteristics Harvested during a Smartphone-Based Self-Administered 2-Minute Walk Test in People with Multiple Sclerosis: Test-Retest Reliability and Minimum Detectable Change. - Alan K. Bourke; Alf Scotland; Florian Lipsmeier; Christian Gossens; Michael Lindemann (Sensors, 2020)

Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones. - Oliver Y. Chén; Florian Lipsmeier; Huy Phan; John Prince; Kirsten I. Taylor; Christian Gossens; Michael Lindemann; Maarten De Vos (IEEE Trans. Biomed. Eng., 2020)

Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disorders. - Guy Bogaarts; Mattia Zanon; Frank Dondelinger; Adrian Derungs; Florian Lipsmeier; Christian Gossens; Michael Lindemann (EMBC, 2021)

Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones. - Andrew P. Creagh; Florian Lipsmeier; Michael Lindemann; Maarten De Vos (CoRR, 2021)

Beacon-Based Remote Measurement of Social Behavior in ASD Clinical Trials: A Technical Feasibility Assessment. - Lito Kriara; Joerg F. Hipp; Christopher Chatham; David Nobbs; David Slater; Florian Lipsmeier; Michael Lindemann (Sensors, 2021)

Smartphone- and Smartwatch-Based Remote Characterisation of Ambulation in Multiple Sclerosis During the Two-Minute Walk Test. - Andrew P. Creagh; Cedric Simillion; Alan K. Bourke; Alf Scotland; Florian Lipsmeier; Corrado Bernasconi; Johan van Beek; Mike Baker; Christian Gossens; Michael Lindemann; Maarten De Vos (IEEE J. Biomed. Health Informatics, 2021)

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. - Oliver Y. Chén; Florian Lipsmeier; Huy Phan; Frank Dondelinger; Andrew P. Creagh; Christian Gossens; Michael Lindemann; Maarten De Vos (IEEE J. Biomed. Health Informatics, 2023)

Exploratory digital outcome measures of motor sign progression in Parkinson's disease patients treated with prasinezumab. - Kirsten I. Taylor; Florian Lipsmeier; Marzia Antonella Scelsi; Ekaterina Volkova-Volkmar; Daria Rukina; Werner Popp; Stefan Lambrecht; Judith Anzures-Cabrera; David Summers; Markus Abt; Annabelle Monnet; Timothy Kilchenmann; et al. (npj Digit. Medicine, 2025)

Human Activity Recognition from Smartphone Sensor Data for Clinical Trials. - Stefania Russo; Rafal Klimas; Marta Plonka; Hugo Le Gall; Sven Holm; Dimitar Stanev; Florian Lipsmeier; Mattia Zanon; Lito Kriara (CoRR, 2025)