Deep-learning-based markerless tracking of distal anatomical landmarks in clinically recorded videos for assessing infant movement patterns associated with neurodevelopmental status-Reference-Cited by-同舟云学术

Deep-learning-based markerless tracking of distal anatomical landmarks in clinically recorded videos for assessing infant movement patterns associated with neurodevelopmental status

Published:2023-10-25 Issue: Volume: Page:1-18
ISSN:0303-6758
Container-title:Journal of the Royal Society of New Zealand
language:en
Short-container-title:Journal of the Royal Society of New Zealand

Author:

Abbasi Hamid¹^ORCID,Mollet Sarah R.¹,Williams Sian A.²³,Battin Malcolm R.⁴,Besier Thor F.¹,McMorland Angus J. C.¹⁵

Affiliation:

1. Auckland Bioengineering Institute (ABI), University of Auckland, Auckland, New Zealand, New Zealand

2. Liggins Institute, University of Auckland, Auckland, New Zealand

3. Curtin School of Allied Health, Curtin University, Perth, Australia

4. Department of Newborn Services, Auckland City Hospital, Auckland, New Zealand

5. Department of Exercise Sciences, Faculty of Science, University of Auckland, Auckland, New Zealand

Funder

Friedlander Foundation

Aotearoa Foundation

Publisher

Informa UK Limited

Subject

Multidisciplinary

Link

https://www.tandfonline.com/doi/pdf/10.1080/03036758.2023.2269095

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