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Citing this Article

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Published on 04.02.16 in Vol 4, No 1 (2016): Jan-Mar

This paper is in the following e-collection/theme issue:

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

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.4923):

(note that this is only a small subset of citations)

  1. Tanaka M, Okada H, Hashimoto Y, Kumagai M, Nishimura H, Fukui M. Low-attenuation muscle is a predictor of diabetes mellitus: A population-based cohort study. Nutrition 2020;74:110752
    CrossRef
  2. Liu T, Pan J, Torigian DA, Xu P, Miao Q, Tong Y, Udupa JK. ABCNet: A new efficient 3D dense‐structure network for segmentation and analysis of body tissue composition on body‐torso‐wide CT images. Medical Physics 2020;
    CrossRef
  3. Tanaka M, Okada H, Hashimoto Y, Kumagai M, Nishimura H, Oda Y, Fukui M. Relationship between metabolic syndrome and trunk muscle quality as well as quantity evaluated by computed tomography. Clinical Nutrition 2020;39(6):1818
    CrossRef
  4. Tanaka M, Okada H, Hashimoto Y, Kumagai M, Nishimura H, Fukui M. Trunk muscle quality and quantity predict the development of metabolic syndrome and the increase in the number of its components in individuals without metabolic syndrome. Nutrition, Metabolism and Cardiovascular Diseases 2020;
    CrossRef
  5. 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
    CrossRef
  6. Liu T, Udupa JK, Miao Q, Tong Y, Torigian DA. Quantification of body‐torso‐wide tissue composition on low‐dose CT images via automatic anatomy recognition . Medical Physics 2019;
    CrossRef
  7. Cespedes Feliciano EM, Chen WY, Bradshaw PT, Prado CM, Alexeeff S, Albers KB, Castillo AL, Caan BJ. Adipose Tissue Distribution and Cardiovascular Disease Risk Among Breast Cancer Survivors. Journal of Clinical Oncology 2019;37(28):2528
    CrossRef
  8. Shen N, Li X, Zheng S, Zhang L, Fu Y, Liu X, Li M, Li J, Guo S, Zhang H. Automated and accurate quantification of subcutaneous and visceral adipose tissue from magnetic resonance imaging based on machine learning. Magnetic Resonance Imaging 2019;64:28
    CrossRef
  9. Voglino C, Tirone A, Ciuoli C, Benenati N, Paolini B, Croce F, Gaggelli I, Vuolo ML, Cuomo R, Grimaldi L, Vuolo G. Cardiovascular Benefits and Lipid Profile Changes 5 Years After Bariatric Surgery: A Comparative Study Between Sleeve Gastrectomy and Roux-en-Y Gastric Bypass. Journal of Gastrointestinal Surgery 2019;
    CrossRef
  10. Srikumar T, Siegel EM, Gu Y, Balagurunathan Y, Garcia AL, Chen YA, Zhou J, Zhao X, Gillies R, Clark W, Gamenthaler A, Choi J, Shibata D. Semiautomated Measure of Abdominal Adiposity Using Computed Tomography Scan Analysis. Journal of Surgical Research 2019;237:12
    CrossRef
  11. Lee SJ, Liu J, Yao J, Kanarek A, Summers RM, Pickhardt PJ. Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort. The British Journal of Radiology 2018;:20170968
    CrossRef
  12. Zarinabad N, Meeus EM, Manias K, Foster K, Peet A. Automated Modular Magnetic Resonance Imaging Clinical Decision Support System (MIROR): An Application in Pediatric Cancer Diagnosis. JMIR Medical Informatics 2018;6(2):e30
    CrossRef
  13. Hussein S, Bagci U, Green A, Watane A, Reiter D, Chen X, Papadakis GZ, 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/medinform.4923)

:
  1. Bridge CP, Rosenthal M, Wright B, Kotecha G, Fintelmann F, Troschel F, Miskin N, Desai K, Wrobel W, Babic A, Khalaf N, Brais L, Welch M, Zellers C, Tenenholtz N, Michalski M, Wolpin B, Andriole K. OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis. 2018. Chapter 22:204
    CrossRef
  2. de Carvalho Felinto J, Poloni KM, de Lima Freire PG, Aily JB, de Almeida AC, Pedroso MG, Mattiello SM, Ferrari RJ. Computational Science and Its Applications – ICCSA 2018. 2018. Chapter 18:261
    CrossRef