Prof. Dr. Björn Eskofier

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

Radar-based inspiratory-to-expiratory time ratio estimation: a validation study (2026) Tran TT, Oesten M, Grießhammer S, Malessa A, Shi K, Heckel M, Eskofier B, et al. Journal article Contactless Sleep Staging with Radar: A Transfer Learning Approach (2026) Krauß D, Richer R, Albrecht N, Jukic J, Herrera Krebber JCS, Zwiessele P, German A, et al. Journal article Construct validity of instrumented gait assessments in hospital and daily life mobility in patients with Parkinson's disease and atypical Parkinson's syndromes: an exploratory study (2026) Teckenburg IB, Sidoroff V, Moradi H, Sapienza S, Prigent G, Krismer F, Benninger D, et al. Journal article Sensor-Derived Parameters from Standardized Walking Tasks Can Support the Identification of Patients with Parkinson’s Disease at Risk of Gait Deterioration (2026) Boschi F, Sapienza S, Ibrahim A, Sonner M, Winkler J, Eskofier B, Gaßner H, Klucken J Journal article Using smart devices for prenatal care: Assessing the willingness among women with pregnancy-related anxiety (2026) Altmannshofer S, Weidenthaler F, Titzmann A, Pontones C, Danzberger N, Jäger K, Nissen M, et al. Journal article, Original article 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 Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching (2026) Müller J, Weiß A, Eskofier B Conference contribution Acceptance, Perceived Usefulness, and Data Sharing in Mobile Health Apps Among Patients With Breast Cancer: Cross-Sectional Survey Study (2026) Flaucher M, Ott T, Nissen M, Dabrock P, Hübner H, Beckmann M, Fasching P, et al. Journal article Exploring Attitudes Toward AI-Based Contactless Sensors in Health Among Five Stakeholder Groups: Qualitative Study (2026) Hille EM, Bleher H, Coppers B, Engelhardt S, Eskofier B, Garbe L, Heckel M, et al. Journal article