Prof. Dr. Björn Eskofier

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

Robust and Efficient Writer-Independent IMU-Based Handwriting Recognition (2026) Li J, Hamann T, Barth J, Kaempf P, Zanca D, Eskofier B Conference contribution, Original article Benchmarking Content-Based Puzzle Solvers on Corrupted Jigsaw Puzzles (2026) Dirauf R, Wolz F, Zanca D, Eskofier B Conference contribution, Conference Contribution Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach (2026) Stahlke M, Yammine G, Feigl T, Eskofier B, Mutschler C Unpublished / Preprint Velocity-Based Channel Charting with Spatial Distribution Map Matching (2026) Stahlke M, George Y, Feigl T, Eskofier B, Mutschler C Unpublished / Preprint Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels (2026) Ott J, Stahlke M, Feigl T, Eskofier B, Mutschler C Unpublished / Preprint Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching (2026) Müller J, Weiß A, Eskofier B Conference contribution Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels (2026) Ott J, Stahlke M, Feigl T, Eskofier B, Mutschler C Unpublished / Preprint Investigating psychosocial stress arising from marker-based optical motion capture and subsequent effects on gait (2025) Fleischmann S, Kurz M, Richer R, Abel L, Gambietz M, Eskofier B, Rohleder N, Koelewijn A Journal article Benchmarking vision-language models for diagnostics in emergency and critical care settings (2025) Kurz CF, Merzhevich T, Eskofier B, Kather JN, Gmeiner B Journal article Outcome measures of instrumented gait analysis in hereditary spastic paraplegia: a systematic review (2025) Koch V, Ibrahim A, Winkler J, Eskofier B, Regensburger M, Gassner H Journal article