This paper is in the following e-collection/theme issue:

Machine Learning (1056) Clinical Information and Decision Making (950) Imaging Informatics (150)

Published on in Vol 7 , No 4 (2019) :Oct-Dec

Age Assessment of Youth and Young Adults Using Magnetic Resonance Imaging of the Knee: A Deep Learning Approach

Age Assessment of Youth and Young Adults Using Magnetic Resonance Imaging of the Knee: A Deep Learning Approach

Age Assessment of Youth and Young Adults Using Magnetic Resonance Imaging of the Knee: A Deep Learning Approach

Authors of this article:

Ana Luiza Dallora 1 Author Orcid Image ;   Johan Sanmartin Berglund 1 Author Orcid Image ;   Martin Brogren 2 Author Orcid Image ;   Ola Kvist 3 Author Orcid Image ;   Sandra Diaz Ruiz 3 Author Orcid Image ;   André Dübbel 2 Author Orcid Image ;   Peter Anderberg 1 Author Orcid Image
Article Authors Cited by (19) Tweetations (4) Metrics

Ana Luiza Dallora   1 , MSc ;   Johan Sanmartin Berglund   1 , PhD ;   Martin Brogren   2 , MSc ;   Ola Kvist   3 , MD ;   Sandra Diaz Ruiz   3 , MD, PhD ;   André Dübbel   2 , MSc ;   Peter Anderberg   1 , PhD

1 Department of Health, Blekinge Institute of Technology, Karlskrona, SE

2 Optriva AB, Stockholm, SE

3 Department of Pediatric Radiology, Karolinska University Hospital, Stockholm, SE

Corresponding Author:

  • Peter Anderberg, PhD
  • Department of Health
  • Blekinge Institute of Technology
  • Valhallavägen 1
  • Karlskrona, 37141
  • SE
  • Phone: 46 0734223736
  • Email: pan@bth.se