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Urologie (Heidelberg, Germany)|February 11, 2025
[Sources of error in criminal proceedings against physicians]Michael Lindemann, Thorsten Ebermann
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz|October 22, 2025
[Aging and dying in prison]Michael Lindemann, Torsten Verrel
Physiological Measurement|November 29, 2023
Physiological sensor data cleaning with autoencodersLito Kriara, Mattia Zanon, Florian Lipsmeier, et al.
Scientific Reports|July 13, 2021
Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphonesAndrew P Creagh, Florian Lipsmeier, Michael Lindemann, et al.
NPJ Digital Medicine|July 28, 2020
Outcome measures based on digital health technology sensor data: data- and patient-centric approachesKirsten I Taylor, Hannah Staunton, Florian Lipsmeier, et al.
JMIR Human Factors|September 11, 2024
User Experience of a Large-Scale Smartphone-Based Observational Study in Multiple Sclerosis: Global, Open-Access, Digital-Only StudyAdriano Galati, Lito Kriara, Michael Lindemann, et al.
Frontiers in Psychiatry|November 16, 2020
Deep Learning-Based Human Activity Recognition for Continuous Activity and Gesture Monitoring for Schizophrenia Patients With Negative SymptomsDaniel Umbricht, Wei-Yi Cheng, Florian Lipsmeier, et al.
Sensors (Basel, Switzerland)|October 22, 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 ChangeAlan K Bourke, Alf Scotland, Florian Lipsmeier, et al.
IEEE Open Journal of Engineering in Medicine and Biology|December 29, 2022
Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using SmartphonesAndrew P Creagh, Frank Dondelinger, Florian Lipsmeier, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Simulating the impact of noise on gait features extracted from smartphone sensor-data for the remote assessment of movement disordersGuy Bogaarts, Mattia Zanon, Frank Dondelinger, et al.
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