Publications - Institute of Health Sciences

Durstberger, S., Kranzl, A., & Horsak, B. (2023). Effects of three different regression-based hip joint center localization methods in adolescents with obesity on kinematics and kinetics - preliminary results of the HIPstar study. Gait & Posture, 100, 42–43. https://doi.org/10.1016/j.gaitpost.2022.11.056

Guggenberger, B., Horsak, B., Habersack, A., Smith, C. R., Kainz, H., & Svehlik, M. (2023). Different walking strategies impact patella cartilage pressure in individuals with patellofemoral instability. Gait & Posture, 100, 9–10. https://doi.org/10.1016/j.gaitpost.2022.11.025

Neubauer, M., Moser, L., Neugebauer, J., Raudner, M., Wondrasch, B., Führer, M., Emprechtinger, R., Dammerer, D., Ljuhar, R., Salzlechner, C., & Nehrer, S. (2023). Artificial-Intelligence-Aided Radiographic Diagnostic of Knee Osteoarthritis Leads to a Higher Association of Clinical Findings with Diagnostic Ratings. Journal of Clinical Medicine, 12(3), 744. https://doi.org/10.3390/jcm12030744

Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., Breiteneder, C., & Horsak, B. (2023). Towards more transparency: The utility of Grad-CAM in tracing back deep learning based classification decisions in children with cerebral palsy. Gait & Posture, 100, 32–33. https://doi.org/10.1016/j.gaitpost.2022.11.045

Guggenberger, B., Horsak, B., Habersack, A., Smith, C., Svehlik, M., & Kainz, H. (2022). The influence of different walking strategies on patellofemoral and tibiofemoral contact forces in individuals with patellofemoral instability. Gait & Posture, 97, S68–S69. https://doi.org/10.1016/j.gaitpost.2022.07.052

Horsak, B. (2022). From machine learning to virtual reality: application examples of emerging digital trends in (clinical) gait analysis and rehabilitation (Invited Talk). 2022 Motion Capture Days, Dortmund, Germany.

Bibtex

Horsak, B., Simonlehner, M., Dumphart, B., Kainz, H., Killen, B., & Jonkers, I. (2022). Patella-femoral joint loading during the modified Star Excursion Balance Test: Preliminary results of an extensive simulation study. Gait & Posture, 97, S5–S6. https://doi.org/10.1016/j.gaitpost.2022.07.013

Horsak, B. (2022). Clinical Gait Analysis: A Toolbox to study Dynamic Joint Loading (Invited Talk). 16th World Conference of the International Cartilage Regeneration & Joint Repair Society, Berlin, Germany.

Bibtex

Horsak, B. (2022). Die klinische Ganganalyse: ein „Werkzeugkasten“ zur objektiven Analyse der menschlichen Bewegung (Invited Talk). Jahrestagung der Österreichischen Gesellschaft für Physikalische Medizin und Rehabilitation (ÖGPMR), Krems, Austria.

Bibtex

Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., Husinsky, M., & Siragy, T. (2022). Walking overground in a room-scale Virtual Reality Environment: a motor control perspective. 9th World Congress of Biomechanics, Taipei, Taiwan.

Bibtex

Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breitender, C., Schöllhorn, W., & Zeppelzauer, M. (2022). Explaining Machine Learning Models for Clinical Gait Analysis. ACM Transactions on Computing for Healthcare, 3(2), 14:1-14:27. https://doi.org/10/gnt2s9

Zulkarnain, A. H. B., Totorean, A., Gere, A., Cruz, E., Horsak, B., Lancere, L., Schöffer, L., Simonlehner, M., Crișan-Vida, M., Fernandes, R., & Sterckx, Y. (2022). Development of a social inclusive immersive virtual reality exergame to promote physical activity. Book of Proceedings FOODCONF. Fourth International Conference on Food Science and Technology, Budapest, Hungary. http://www.foodconf.hu/poster/P4000/68.pdf

Dumphart, B., Slijepčević, D., Unglaube, F., Kranzl, A., Baca, A., Zeppelzauer, M., & Horsak, B. (2021). An automated deep learning-based gait event detection algorithm for various pathologies. Gait & Posture, 90, 50–51. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.026

Horsak, B., Schwab, C., Durstberger, S., Thajer, A., Greber-Platzer, S., Kainz, H., Jonkers, I., & Kranzl, A. (2021). 3D free-hand ultrasound to register anatomical landmarks at the pelvis and localize the hip joint center in lean and obese individuals. Scientific Reports, 11(1), 10650. https://doi.org/https://doi.org/10.1038/s41598-021-89763-7

Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., & Husinsky, M. (2021). Overground walking in a fully immersive Virtual Reality: Preliminary results of a comprehensive study on the effects on walking biomechanics. Gait & Posture, 90, 100–101. https://doi.org/https://doi.org/10.3389/fbioe.2021.780314

Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., & Husinsky, M. (2021). Overground Walking in a Fully Immersive Virtual Reality: A Comprehensive Study on the Effects on Full-Body Walking Biomechanics. Frontiers in Bioengineering and Biotechnology, 9, 1236. https://doi.org/https://doi.org/10.3389/fbioe.2021.780314

Kolm, A., de Nooijer, J., Vanherle, K., Werkman, A., Wewerka-Kreimel, D., Rachman-Elbaum, S., & van Merriënboer, J. J. G. (2021). International Online Collaboration Competencies in Higher Education Students: A Systematic Review. Journal of Studies in International Education. https://doi.org/10/gkjd8j

Krondorfer, P., Slijepčević, D., Unglaube, F., Kranzl, A., Breiteneder, C., Zeppelzauer, M., & Horsak, B. (2021). Deep learning-based similarity retrieval in clinical 3D gait analysis. Gait & Posture, 90, 127–128. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.066

Schwab, C., Durstberger, S., Kainz, H., Baca, A., Thajer, A., Greber-Platzer, S., Ilse, J., Horsak, B., & Kranzl, A. (2021). Accuracy of 3-dimensional freehand ultrasound to estimate anatomical landmarks in children and adolescents with obesity. Gait & Posture, 90, 232–233. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.120

Thajer, A., Skacel, G., Truschner, K., Jorda, A., Vasek, M., Horsak, B., Strempfl, J., Kautzky-Willer, A., Kainberger, F., & Greber-Platzer, S. (2021). Comparison of Bioelectrical Impedance-Based Methods on Body Composition in Young Patients with Obesity. Children, 8(4), 295. https://doi.org/https://doi.org/10.3390/children8040295