Prof. Dr. Björn Eskofier

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

Stress-induced movement inhibition during acute psychosocial stress predicts HPA axis response (2025) Rohleder N, Richer R, Abel L, Kurz M, Burghardt F, Ringgold V, Eskofier B Conference contribution, Abstract of lecture Advanced Millimeter Wave Radar-Based Human Pose Estimation Enabled by a Deep Learning Neural Network Trained With Optical Motion Capture Ground Truth Data (2025) Engel L, Müller J, Rendon EJF, Dorschky E, Krauß D, Ullmann I, Eskofier B, Vossiek M Journal article High-Knee-Flexion Posture Recognition Using Multi-Dimensional Dynamic Time Warping on Inertial Sensor Data (2025) Laudanski AF, Küderle A, Kluge F, Eskofier B, Acker SM Journal article Affect during sleep: Exploring the capabilities of Artificial Intelligence in Sleep Research (2025) Ernst S, Krauß D, Moß M, Vossiek M, Eskofier B, Berking M Conference contribution Stress can be detected during emotion-evoking smartphone use: a pilot study using machine learning (2025) Rupp L, Kumar A, Sadeghi M, Schindler-Gmelch L, Keinert M, Eskofier B, Berking M Journal article A Cross-Platform Smartphone Auscultation SDK and Optimized Filters for Severe Aortic Stenosis Detection (2025) Altstidl TR, Altstidl JM, Achenbach S, Eskofier B Conference contribution The EmpkinS-EKSpression Reappraisal Training Augmented With Kinesthesia in Depression (2025) Keinert M, Schindler-Gmelch L, Rupp L, Sadeghi M, Richer R, Capito K, Eskofier B, Berking M Journal article, Original article ExSMART-PreRA: Explainable Survival and Risk Assessment Using Machine Learning for Time Estimation in Preclinical Rheumatoid Arthritis (2025) Salehihafshejani F, Bayat S, Schett G, Kleyer A, Altstidl TR, Eskofier B Journal article Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions (2025) Dorschky E, Nitschke M, Mayer M, Weygers I, Gaßner H, Seel T, Eskofier B, Koelewijn A Journal article Breaking Down the Data Path in Digital Health: From Edge to Fog and Beyond (2025) Righi RDR, Rodrigues VF, Da Costa CA, Eskofier B Journal article