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Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Ola Kvist · Study

Home/Author

Ola Kvist

6 works· latest 2024· 1 institutionscluster: provisionalORCID 0000-0002-8730-5901

h-index6

i106

Citations283

Works here6

19

20

24

Most cited in this library

Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis2019 · 151 citations
A cross‐sectional magnetic resonance imaging study of factors influencing growth plate closure in adolescents and young adults2020 · 49 citations
Age Assessment of Youth and Young Adults Using Magnetic Resonance Imaging of the Knee: A Deep Learning Approach2019 · 42 citations
A probability model for estimating age in young individuals relative to key legal thresholds: 15, 18 or 21-year2024 · 14 citations
Comparison of reliability of magnetic resonance imaging using cartilage and T1-weighted sequences in the assessment of the closure of the growth plates at the knee2020 · 14 citations

Works

6 shown

A probability model for estimating age in young individuals relative to key legal thresholds: 15, 18 or 21-year

International Journal of Legal Medicine·2024·9 authors·Open access

14citations

A cross‐sectional magnetic resonance imaging study of factors influencing growth plate closure in adolescents and young adults

Acta Paediatrica·2020·6 authors·Open access

49citations

Chronological Age Assessment in Young Individuals Using Bone Age Assessment Staging and Nonradiological Aspects: Machine Learning Multifactorial Approach

JMIR Medical Informatics·2020·7 authors·Open access

13citations

Comparison of reliability of magnetic resonance imaging using cartilage and T1-weighted sequences in the assessment of the closure of the growth plates at the knee

Acta Radiologica Open·2020·6 authors·Open access

14citations

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

JMIR Medical Informatics·2019·7 authors·Open access

42citations

Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis

PLoS ONE·2019·5 authors·review·Open access

151citations