These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

452 related articles for article (PubMed ID: 17700582)

  • 1. Quantitative comparison and evaluation of software packages for assessment of abdominal adipose tissue distribution by magnetic resonance imaging.
    Bonekamp S; Ghosh P; Crawford S; Solga SF; Horska A; Brancati FL; Diehl AM; Smith S; Clark JM
    Int J Obes (Lond); 2008 Jan; 32(1):100-11. PubMed ID: 17700582
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of methods for assessing abdominal adipose tissue from magnetic resonance images.
    Arif H; Racette SB; Villareal DT; Holloszy JO; Weiss EP
    Obesity (Silver Spring); 2007 Sep; 15(9):2240-4. PubMed ID: 17890492
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Validity of a new automated software program for visceral adipose tissue estimation.
    Demerath EW; Ritter KJ; Couch WA; Rogers NL; Moreno GM; Choh A; Lee M; Remsberg K; Czerwinski SA; Chumlea WC; Siervogel RM; Towne B
    Int J Obes (Lond); 2007 Feb; 31(2):285-91. PubMed ID: 16770332
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Validation of volumetric and single-slice MRI adipose analysis using a novel fully automated segmentation method.
    Addeman BT; Kutty S; Perkins TG; Soliman AS; Wiens CN; McCurdy CM; Beaton MD; Hegele RA; McKenzie CA
    J Magn Reson Imaging; 2015 Jan; 41(1):233-41. PubMed ID: 24431195
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Software for automated MRI-based quantification of abdominal fat and preliminary evaluation in morbidly obese patients.
    Thörmer G; Bertram HH; Garnov N; Peter V; Schütz T; Shang E; Blüher M; Kahn T; Busse H
    J Magn Reson Imaging; 2013 May; 37(5):1144-50. PubMed ID: 23124651
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Reliability and validity of the new VikingSlice software for computed tomography body composition analysis.
    Ozola-Zālīte I; Mark EB; Gudauskas T; Lyadov V; Olesen SS; Drewes AM; Pukitis A; Frokjær JB
    Eur J Clin Nutr; 2019 Jan; 73(1):54-61. PubMed ID: 29662230
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Abdominal fat quantification using convolutional networks.
    Schneider D; Eggebrecht T; Linder A; Linder N; Schaudinn A; Blüher M; Denecke T; Busse H
    Eur Radiol; 2023 Dec; 33(12):8957-8964. PubMed ID: 37436508
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients.
    van Vugt JL; Levolger S; Gharbharan A; Koek M; Niessen WJ; Burger JW; Willemsen SP; de Bruin RW; IJzermans JN
    J Cachexia Sarcopenia Muscle; 2017 Apr; 8(2):285-297. PubMed ID: 27897414
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Test-retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects.
    Newman D; Kelly-Morland C; Leinhard OD; Kasmai B; Greenwood R; Malcolm PN; Romu T; Borga M; Toms AP
    J Magn Reson Imaging; 2016 Dec; 44(6):1464-1473. PubMed ID: 27249363
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automated quantification of abdominal adiposity by magnetic resonance imaging.
    Sun J; Xu B; Freeland-Graves J
    Am J Hum Biol; 2016 Nov; 28(6):757-766. PubMed ID: 27121449
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic intra-subject registration-based segmentation of abdominal fat from water-fat MRI.
    Joshi AA; Hu HH; Leahy RM; Goran MI; Nayak KS
    J Magn Reson Imaging; 2013 Feb; 37(2):423-30. PubMed ID: 23011805
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hippocampal volume change measurement: quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST.
    Mulder ER; de Jong RA; Knol DL; van Schijndel RA; Cover KS; Visser PJ; Barkhof F; Vrenken H;
    Neuroimage; 2014 May; 92():169-81. PubMed ID: 24521851
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The reliability of a segmentation methodology for assessing intramuscular adipose tissue and other soft-tissue compartments of lower leg MRI images.
    Karampatos S; Papaioannou A; Beattie KA; Maly MR; Chan A; Adachi JD; Pritchard JM
    MAGMA; 2016 Apr; 29(2):237-44. PubMed ID: 26702939
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Validation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas.
    Kemnitz J; Eckstein F; Culvenor AG; Ruhdorfer A; Dannhauer T; Ring-Dimitriou S; Sänger AM; Wirth W
    MAGMA; 2017 Oct; 30(5):489-503. PubMed ID: 28455629
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 23.