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Imaging Informatics (193) Tools, Programs and Algorithms (266)

Published on in Vol 4, No 1 (2016): Jan-Mar

Computerized Automated Quantification of Subcutaneous and Visceral Adipose Tissue From Computed Tomography Scans: Development and Validation Study

Computerized Automated Quantification of Subcutaneous and Visceral Adipose Tissue From Computed Tomography Scans: Development and Validation Study

Computerized Automated Quantification of Subcutaneous and Visceral Adipose Tissue From Computed Tomography Scans: Development and Validation Study

Authors of this article:

Young Jae Kim1, 2 Author Orcid Image ;   Ji Won Park3, 4, 5 Author Orcid Image ;   Jong Wan Kim6 Author Orcid Image ;   Chan-Soo Park1 Author Orcid Image ;   John Paul S Gonzalez7 Author Orcid Image ;   Seung Hyun Lee2 Author Orcid Image ;   Kwang Gi Kim1 Author Orcid Image ;   Jae Hwan Oh8 Author Orcid Image
Article Authors Cited by (25) Tweetations (3) Metrics

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  13. Hussein S, Bagci U, Green A, Watane A, Reiter D, Chen X, Papadakis G, Wood B, Cypess A, Osman M. Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans. IEEE Transactions on Medical Imaging 2017;36(3):734 View
  14. Tanaka M, Okada H, Hashimoto Y, Kumagai M, Nishimura H, Oda Y, Fukui M. Relationship between nonalcoholic fatty liver disease and muscle quality as well as quantity evaluated by computed tomography. Liver International 2020;40(1):120 View
  15. Schaudinn A, Hudak A, Linder N, Reinhardt M, Stocker G, Lordick F, Denecke T, Busse H. Toward a Routine Assessment of Visceral Adipose Tissue Volume from Computed Tomographic Data. Obesity 2021;29(2):294 View
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  17. Matondang S, Adiandrian B, Karismaputri K, Marcella C, Prihartono J, Tahapary D, Yamada Y. Simple anthropometric measures to predict visceral adipose tissue area in middle-aged Indonesian men. PLOS ONE 2023;18(1):e0280033 View
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