Publikationen: Center for Artificial Intelligence - Center for Artificial Intelligence

Dumphart, B., Slijepcevic, D., Unglaube, F., Kranzl, A., Baca, A., & Horsak, B. (2026). The effect of inaccurate initial contact events on kinematics in healthy and pathological gait. Gait & Posture, 123, 110012. https://doi.org/10.1016/j.gaitpost.2025.110012

Dumphart, B., Slijepcevic, D., Unglaube, F., Kranzl, A., Alexander, N., Dobler, F., Franco-Carvalho, M., Armand, S., Leboeuf, F., Baca, A., & Horsak, B. (2025). A multicenter evaluation of a machine learning-based gait event detection algorithm. Gait & Posture, 117, S10–S11. https://doi.org/10.1016/j.gaitpost.2025.01.049

Dumphart, B., Slijepcevic, D., Kranzl, A., Dobler, F., Alexander, N., Baca, A., & Horsak, B. (2025). Adapting machine learning-based gait event detection models from walking to running: Evaluating transfer learning vs. training from scratch. Gait & Posture, 121, 63–64. https://doi.org/10.1016/j.gaitpost.2025.07.072

Horsak, B., Simonlehner, M., Quehenberger, V., Dumphart, B., Slijepčević, D., & Kranzl, A. (2025). A gait lab in your pocket? Accuracy and reliability of monocular smartphone-based markerless 3D gait analysis in pathological gait. Gait & Posture, 121, 91–92. https://doi.org/10.1016/j.gaitpost.2025.07.102

Horsak, B., Krondorfer, P., Unglaube, F., Slijepčević, D., & Kranzl, A. (2025). Feasibility of fully automated and semi-personalized musculoskeletal simulations to process large-scale gait datasets. Gait & Posture, 117, S18–S19. https://doi.org/10.1016/j.gaitpost.2025.01.059

Horsak, B., Simonlehner, M., Quehenberger, V., Dumphart, B., Wegscheider, P., Kranzl, A., & Slijepcevic, D. (2025). Validity and reliability of monocular 3D markerless gait analysis in simulated pathological gait: A comparative study with OpenCap. Journal of Biomechanics, 193, 112986. https://doi.org/10.1016/j.jbiomech.2025.112986

Kranzl, A., Horsak, B., Töller, D., Slijepčević, D., Krondorfer, P., Farr, S., & Unglaube, F. (2025). Does correcting valgus malalignment always result in a normalised medio-lateral knee joint contact force distribution? Gait & Posture, 121, 125–126. https://doi.org/10.1016/j.gaitpost.2025.07.137

Kranzl, A., Unglaube, F., Horsak, B., Slijepčević, D., & Dumphart, B. (2025). How do different event detection algorithms affect the global scores – gait profile score and gait deviation index? Gait & Posture, 121, 124–125. https://doi.org/10.1016/j.gaitpost.2025.07.136

Kranzl, A., Unglaube, F., Horsak, B., Slijepčević, D., & Dumphart, B. (2025). What are the kinematic and kinetic effects of using different methods to determine gait events? Gait & Posture, 117, S22–S23. https://doi.org/10.1016/j.gaitpost.2025.01.065

Krondorfer, P., Slijepčević, D., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2025). Predicting joint contact forces using a combination of kinematics, anthropometrics, and demographics with explainable artificial intelligence. Gait & Posture, 121, 126–128. https://doi.org/10.1016/j.gaitpost.2025.07.139

Slijepčević, D., Ladner, S., Judmaier, P., Zeppelzauer, M., Kranzl, A., & Horsak, B. (2025). AI applications and data annotation practices in clinical gait analysis: Initial insights from a survey of ESMAC and GAMMA members. Gait & Posture, 121, 229–230. https://doi.org/10.1016/j.gaitpost.2025.07.246

Temple, L., Viale Pereira, G., Kaltenbrunner, L., & Klausner, L. D. (2025). Small Towns, Big Questions: Methodological Insights into Use Case Selection for Digital Twins in Small Towns. Proceedings of the 2025 Eleventh International Conference on eDemocracy and eGovernment, 169–178. https://doi.org/10.1109/ICEDEG65568.2025.11081584

Buchelt, A., Adrowitzer, A., Kieseberg, P., Gollob, C., Nothdurft, A., Eresheim, S., Tschiatschek, S., Stampfer, K., & Holzinger, A. (2024). Exploring artificial intelligence for applications of drones in forest ecology and management. Forest Ecology and Management, 551, 121530. https://doi.org/10.1016/j.foreco.2023.121530

Dindorf, C., Horst, F., Slijepcevic, D., Dumphart, B., Dully, J., Zeppelzauer, M., Horsak, B., & Fröhlich, M. (2024). Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running and Sports Movements (pp. 91–148). https://doi.org/10.1007/978-3-031-76047-1_4

Bibtex

Dumphart, B., Djordje, S., Unglaube, F., Kranzl, A., Baca, A., & Horsak, B. (2024). The impact of initial contact events on kinematics in pathological gait - Preliminary results of an ongoing study. Gait & Posture, 113, 54–55. https://doi.org/10.1016/j.gaitpost.2024.07.067

Horst, F., Slijepcevic, D., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Explainable artificial intelligence for walking speed classification from vertical ground reaction forces. Gait & Posture, 113, 215–216. https://doi.org/10.1016/j.gaitpost.2024.07.232

Krondorfer, P., Slijepčević, D., Unglaube, F., Kranzl, A., Zeppelzauer, M., Kainz, H., & Horsak, B. (2024). Predicting knee contact forces in walking: A comparative study of machine learning models including a physics-informed approach. Gait & Posture, 113, 125–126. https://doi.org/10.1016/j.gaitpost.2024.07.140

Slijepcevic, D., Horst, F., Simak, M. L., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Decoding Gait Signatures: Exploring Individual Patterns in Pathological Gait using Explainable AI. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2024.3513893

Slijepcevic, D., Krondorfer, P., Unglaube, F., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2024). Predicting ground reaction forces in overground walking from gait kinematics using machine learning. Gait & Posture, 113, 214–215. https://doi.org/10.1016/j.gaitpost.2024.07.231

Vulpe-Grigorasi, A., Kren, Z., Slijepčević, D., Schmied, R., & Leung, V. (2024). Attention performance classification based on eye tracking and machine learning. Informatics 2024 Proceedings. IEEE International Scientific Conference on Informatics, Poprad Slovakia. https://doi.org/10.1109/Informatics62280.2024.10900810