Machine Learning and Data Analytics Lab

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 Enabling Geometry Aware Learning Through Differentiable Epipolar View Translation (2023) Rohleder M, Pradel C, Wagner F, Thies M, Maul N, Denzinger F, Maier A, Kreher B Conference contribution 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 Time vs. Space: Comparing gait cycle normalization methods and their effect on foot placement control (2023) Fleischmann S, Shanbhag J, Miehling J, Wartzack S, Leyendecker S, Koelewijn A, Eskofier B Conference contribution, Abstract of a poster Real world evidence (RWE) in phytotherapy: Perspectives for the development of a registry for phytopharmaceuticals Real World Evidence (RWE) in der Phytotherapie: Perspektiven für den Aufbau eines Registers zur Nutzung von Phytopharmaka (2023) Habs M, Dingermann T, Bachmeier BE, Eskofier B, Friedrich B, Prantl L, Emmer J, et al. Journal article