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Journal Abstract Search

365 related items for PubMed ID: 27501897

  • 1. Automatic segmentation of abdominal organs and adipose tissue compartments in water-fat MRI: Application to weight-loss in obesity.
    Shen J, Baum T, Cordes C, Ott B, Skurk T, Kooijman H, Rummeny EJ, Hauner H, Menze BH, Karampinos DC.
    Eur J Radiol; 2016 Sep; 85(9):1613-21. PubMed ID: 27501897
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  • 5. Automated segmentation of abdominal subcutaneous adipose tissue and visceral adipose tissue in obese adolescent in MRI.
    Hui SCN, Zhang T, Shi L, Wang D, Ip CB, Chu WCW.
    Magn Reson Imaging; 2018 Jan; 45():97-104. PubMed ID: 29017799
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  • 7. Automated segmentation of visceral and subcutaneous (deep and superficial) adipose tissues in normal and overweight men.
    Sadananthan SA, Prakash B, Leow MK, Khoo CM, Chou H, Venkataraman K, Khoo EY, Lee YS, Gluckman PD, Tai ES, Velan SS.
    J Magn Reson Imaging; 2015 Apr; 41(4):924-34. PubMed ID: 24803305
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  • 8. Quantification of abdominal fat depots in rats and mice during obesity and weight loss interventions.
    Kn BP, Gopalan V, Lee SS, Velan SS.
    PLoS One; 2014 Apr; 9(10):e108979. PubMed ID: 25310298
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  • 9. Automated and reproducible segmentation of visceral and subcutaneous adipose tissue from abdominal MRI.
    Kullberg J, Ahlström H, Johansson L, Frimmel H.
    Int J Obes (Lond); 2007 Dec; 31(12):1806-17. PubMed ID: 17593903
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  • 10. CAFT: a deep learning-based comprehensive abdominal fat analysis tool for large cohort studies.
    Bhanu PK, Arvind CS, Yeow LY, Chen WX, Lim WS, Tan CH.
    MAGMA; 2022 Apr; 35(2):205-220. PubMed ID: 34338926
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  • 12. 3D Chemical Shift-Encoded MRI for Volume and Composition Quantification of Abdominal Adipose Tissue During an Overfeeding Protocol in Healthy Volunteers.
    Nemeth A, Segrestin B, Leporq B, Seyssel K, Faraz K, Sauvinet V, Disse E, Valette PJ, Laville M, Ratiney H, Beuf O.
    J Magn Reson Imaging; 2019 Jun; 49(6):1587-1599. PubMed ID: 30328237
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  • 13. Automated Deep Learning-Based Segmentation of Abdominal Adipose Tissue on Dixon MRI in Adolescents: A Prospective Population-Based Study.
    Wu T, Estrada S, van Gils R, Su R, Jaddoe VWV, Oei EHG, Klein S.
    AJR Am J Roentgenol; 2024 Jan; 222(1):e2329570. PubMed ID: 37584508
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  • 15. Adipose tissue distribution in children: automated quantification using water and fat MRI.
    Kullberg J, Karlsson AK, Stokland E, Svensson PA, Dahlgren J.
    J Magn Reson Imaging; 2010 Jul; 32(1):204-10. PubMed ID: 20575078
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  • 16. Validation of a free software for unsupervised assessment of abdominal fat in MRI.
    Maddalo M, Zorza I, Zubani S, Nocivelli G, Calandra G, Soldini P, Mascaro L, Maroldi R.
    Phys Med; 2017 May; 37():24-31. PubMed ID: 28535911
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  • 19. Regional differences in abdominal fat loss.
    Kanaley JA, Giannopoulou I, Ploutz-Snyder LL.
    Int J Obes (Lond); 2007 Jan; 31(1):147-52. PubMed ID: 16652124
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