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

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  10. Shan W, Sun Y, Hu L, Qiu J, Huo M, Zhang Z, Lei Y, Chen Q, Zhang Y, Yue X. Boosting algorithm improves the accuracy of juvenile forensic dental age estimation in southern China population. Scientific Reports 2022;12(1) View
  11. Demircioğlu A, Quinsten A, Forsting M, Umutlu L, Nassenstein K. Pediatric age estimation from radiographs of the knee using deep learning. European Radiology 2022;32(7):4813 View
  12. Ieki H, Ito K, Saji M, Kawakami R, Nagatomo Y, Takada K, Kariyasu T, Machida H, Koyama S, Yoshida H, Kurosawa R, Matsunaga H, Miyazawa K, Ozaki K, Onouchi Y, Katsushika S, Matsuoka R, Shinohara H, Yamaguchi T, Kodera S, Higashikuni Y, Fujiu K, Akazawa H, Iguchi N, Isobe M, Yoshikawa T, Komuro I. Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis. Communications Medicine 2022;2(1) View
  13. Li N, Cheng B, Zhang J. A Cascade Model with Prior Knowledge for Bone Age Assessment. Applied Sciences 2022;12(15):7371 View
  14. Deng X, Lu T, Liu G, Fan F, Peng Z, Chen X, Chen T, Zhan M, Shi L, Luo S, Zhang X, Liu M, Qiu S, Cong B, Deng Z. Forensic age prediction and age classification for critical age thresholds via 3.0T magnetic resonance imaging of the knee in the Chinese Han population. International Journal of Legal Medicine 2022;136(3):841 View
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