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

Stephan Rothstock, Hans-Rudolf Weiss, Daniel Krueger, Victoria Kleban, Lothar Paul

Open source

DOI
10.1080/10255842.2020.1773449
Published
2020-06-16
Container
Computer Methods in Biomechanics and Biomedical Engineering
Publisher
Informa UK Limited
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1080/10255842.2020.1773449,
  title = {Innovative decision support for scoliosis brace therapy based on statistical modelling of markerless 3D trunk surface data},
  author = {Stephan Rothstock and Hans-Rudolf Weiss and Daniel Krueger and Victoria Kleban and Lothar Paul},
  year = {2020},
  journal = {Computer Methods in Biomechanics and Biomedical Engineering},
  doi = {10.1080/10255842.2020.1773449},
  url = {https://doi.org/10.1080/10255842.2020.1773449}
}

RIS

TY  - JOUR
TI  - Innovative decision support for scoliosis brace therapy based on statistical modelling of markerless 3D trunk surface data
AU  - Stephan Rothstock
AU  - Hans-Rudolf Weiss
AU  - Daniel Krueger
AU  - Victoria Kleban
AU  - Lothar Paul
PY  - 2020
JO  - Computer Methods in Biomechanics and Biomedical Engineering
DO  - 10.1080/10255842.2020.1773449
UR  - https://doi.org/10.1080/10255842.2020.1773449
ER  - 

APA

Rothstock, S., Weiss, H., Krueger, D., Kleban, V., & Paul, L. (2020). Innovative decision support for scoliosis brace therapy based on statistical modelling of markerless 3D trunk surface data. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/10255842.2020.1773449

Source records