Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs ; day:1 ; month:2 ; year:2024 ; pages:1-16
Magnetic resonance materials in physics, biology and medicine ; (1.2.2024), 1-16

Creator
Kafali, Sevgi Gokce
Shih, Shu-Fu
Li, Xinzhou
Kim, Grace Hyun J.
Kelly, Tristan
Chowdhury, Shilpy
Loong, Spencer
Moretz, Jeremy
Barnes, Samuel R.
Li, Zhaoping
Wu, Holden H.
Contributor
SpringerLink (Online service)

DOI
10.1007/s10334-023-01146-3
URN
urn:nbn:de:101:1-2024041215385763828707
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:58 AM CEST

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Associated

  • Kafali, Sevgi Gokce
  • Shih, Shu-Fu
  • Li, Xinzhou
  • Kim, Grace Hyun J.
  • Kelly, Tristan
  • Chowdhury, Shilpy
  • Loong, Spencer
  • Moretz, Jeremy
  • Barnes, Samuel R.
  • Li, Zhaoping
  • Wu, Holden H.
  • SpringerLink (Online service)

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