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Page 1
Automatic Classification of Functional Gait Disorders.
Slijepcevic D, Zeppelzauer M, Gorgas AM, Schwab C, Schuller M, Baca A, Breiteneder C, Horsak B. Slijepcevic D, et al. Among authors: zeppelzauer m. IEEE J Biomed Health Inform. 2018 Sep;22(5):1653-1661. doi: 10.1109/JBHI.2017.2785682. Epub 2017 Dec 20. IEEE J Biomed Health Inform. 2018. PMID: 29990052
KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis.
Wagner M, Slijepcevic D, Horsak B, Rind A, Zeppelzauer M, Aigner W. Wagner M, et al. Among authors: zeppelzauer m. IEEE Trans Vis Comput Graph. 2019 Mar;25(3):1528-1542. doi: 10.1109/TVCG.2017.2785271. Epub 2018 Feb 28. IEEE Trans Vis Comput Graph. 2019. PMID: 29993807
Modeling biological individuality using machine learning: A study on human gait.
Horst F, Slijepcevic D, Simak M, Horsak B, Schöllhorn WI, Zeppelzauer M. Horst F, et al. Among authors: zeppelzauer m. Comput Struct Biotechnol J. 2023 Jun 13;21:3414-3423. doi: 10.1016/j.csbj.2023.06.009. eCollection 2023. Comput Struct Biotechnol J. 2023. PMID: 37416082 Free PMC article.
Robust deep learning-based gait event detection across various pathologies.
Dumphart B, Slijepcevic D, Zeppelzauer M, Kranzl A, Unglaube F, Baca A, Horsak B. Dumphart B, et al. Among authors: zeppelzauer m. PLoS One. 2023 Aug 11;18(8):e0288555. doi: 10.1371/journal.pone.0288555. eCollection 2023. PLoS One. 2023. PMID: 37566568 Free PMC article.
15 results