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Computer Methods in Biomechanics and Biomedical Engineering Volume 23, 2020 - Issue 13
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Articles

Innovative decision support for scoliosis brace therapy based on statistical modelling of markerless 3D trunk surface data

Stephan RothstockGFaI Gesellschaft zur Förderung angewandter Informatik e. V, Society for the Advancement of Applied Computer Science Berlin, Berlin, Germany; Correspondence[email protected]
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Hans-Rudolf WeissKoob GmbH & Co KG, Abtweiler, GermanyView further author information
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Daniel KruegerGFaI Gesellschaft zur Förderung angewandter Informatik e. V, Society for the Advancement of Applied Computer Science Berlin, Berlin, Germany; View further author information
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Victoria KlebanGFaI Gesellschaft zur Förderung angewandter Informatik e. V, Society for the Advancement of Applied Computer Science Berlin, Berlin, Germany; View further author information
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Lothar PaulGFaI Gesellschaft zur Förderung angewandter Informatik e. V, Society for the Advancement of Applied Computer Science Berlin, Berlin, Germany; View further author information
Pages 923-933 | Received 10 Feb 2020, Accepted 20 May 2020, Published online: 16 Jun 2020

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Stephan Rothstock, José María González-Ruiz, Hans-Rudolf Weiss, Deborah Turnbull & Daniel Krueger. (2023) Severity and Cobb angle of scoliosis patients quantified with markerless trunk surface topography using k-NN search and multivariate regression analysis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 0:0, pages 1-7.
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Articles from other publishers (2)

Daniel Ledwoń, Marta Danch-Wierzchowska, Marcin Bugdol, Karol Bibrowicz, Tomasz Szurmik, Andrzej Myśliwiec & Andrzej W. Mitas. (2021) Real-Time Back Surface Landmark Determination Using a Time-of-Flight Camera. Sensors 21:19, pages 6425.
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Stephan Rothstock, Hans-Rudolf Weiss, Daniel Krueger & Lothar Paul. (2020) Clinical classification of scoliosis patients using machine learning and markerless 3D surface trunk data. Medical & Biological Engineering & Computing 58:12, pages 2953-2962.
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