Prof. Dr. Björn Eskofier

Machine Learning and Data Analytics Lab Department Artificial Intelligence in Biomedical Engineering (AIBE)

Mobile digital gait analysis objectively measures progression in hereditary spastic paraplegia (2023) Loris E, Ollenschläger M, Greinwalder T, Eskofier B, Winkler J, Gaßner H, Regensburger M Journal article Breathe your stress away. Preliminary results of a randomized controlled study investigating a breath-based approach-avoidance modification training in individuals with elevated stress (2023) Keinert M, Böhme S, Eskofier B, Schuller BW, Berking M Conference contribution, Conference Contribution Improving the Robustness of IMU-based Sit-To-Stand Detection during Simulated Real-World Activities for Different Sensor Positions (2023) Seifer AK, Popp F, Richer R, Gaßner H, Eskofier B Conference contribution, Conference Contribution Efficacy of a smartphone-based reappraisal training against depression and benefits of enhancing it with facial expression (2023) Rupp L, Capito K, Gmelch LM, Böhme S, Richer R, Sadeghi M, Rahimi F, et al. Conference contribution, Abstract of lecture Stroop, Stress, and VR: Developing the Virtual Reality Stroop Room (2023) Ringgold V, Mehringer W, Eskofier B, Rohleder N Conference contribution, Conference Contribution 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 Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases (2023) Romijnders R, Salis F, Hansen C, Küderle A, Paraschiv-Ionescu A, Cereatti A, Alcock L, et al. Journal article Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data (2023) Flaucher M, Zakreuskaya A, Jäger K, Richer R, Smeddinck JD, Kumar D, Grimme S, et al. Conference contribution, other Towards postural control simulation using a sensorimotor enhanced musculoskeletal human model (2023) Shanbhag J, Fleischmann S, Eskofier B, Koelewijn A, Wartzack S, Miehling J Conference contribution, Abstract of a poster