372 related articles for article (PubMed ID: 23011805)
1. 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]
2. 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]
3. 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]
4. Automatic quantification of subcutaneous and visceral adipose tissue from whole-body magnetic resonance images suitable for large cohort studies.
Wald D; Teucher B; Dinkel J; Kaaks R; Delorme S; Boeing H; Seidensaal K; Meinzer HP; Heimann T
J Magn Reson Imaging; 2012 Dec; 36(6):1421-34. PubMed ID: 22911921
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Comparison of visceral adipose tissue quantification on water suppressed and nonwater-suppressed MRI at 3.0 Tesla.
Zhou A; Murillo H; Cusi K; Peng Q
J Magn Reson Imaging; 2012 Jun; 35(6):1445-52. PubMed ID: 22246813
[TBL] [Abstract][Full Text] [Related]
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
[TBL] [Abstract][Full Text] [Related]
8. Automated assessment of whole-body adipose tissue depots from continuously moving bed MRI: a feasibility study.
Kullberg J; Johansson L; Ahlström H; Courivaud F; Koken P; Eggers H; Börnert P
J Magn Reson Imaging; 2009 Jul; 30(1):185-93. PubMed ID: 19557740
[TBL] [Abstract][Full Text] [Related]
9. Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water-fat MRI.
Langner T; Hedström A; Mörwald K; Weghuber D; Forslund A; Bergsten P; Ahlström H; Kullberg J
Magn Reson Med; 2019 Apr; 81(4):2736-2745. PubMed ID: 30311704
[TBL] [Abstract][Full Text] [Related]
10. Volume measurements of individual muscles in human quadriceps femoris using atlas-based segmentation approaches.
Le Troter A; Fouré A; Guye M; Confort-Gouny S; Mattei JP; Gondin J; Salort-Campana E; Bendahan D
MAGMA; 2016 Apr; 29(2):245-57. PubMed ID: 26983429
[TBL] [Abstract][Full Text] [Related]
11. Comparison of T1-weighted 2D TSE, 3D SPGR, and two-point 3D Dixon MRI for automated segmentation of visceral adipose tissue at 3 Tesla.
Fallah F; Machann J; Martirosian P; Bamberg F; Schick F; Yang B
MAGMA; 2017 Apr; 30(2):139-151. PubMed ID: 27638089
[TBL] [Abstract][Full Text] [Related]
12. Association between type 2 diabetes mellitus and body composition based on MRI fat fraction mapping.
An Q; Zhang QH; Wang Y; Zhang HY; Liu YH; Zhang ZT; Zhang ML; Lin LJ; He H; Yang YF; Sun P; Zhou ZY; Song QW; Liu AL
Front Public Health; 2024; 12():1332346. PubMed ID: 38322122
[TBL] [Abstract][Full Text] [Related]
13. 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
[TBL] [Abstract][Full Text] [Related]
14. Automatic abdominal fat assessment in obese mice using a segmental shape model.
Tang Y; Sharma P; Nelson MD; Simerly R; Moats RA
J Magn Reson Imaging; 2011 Oct; 34(4):866-73. PubMed ID: 21769982
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Automatic segmentation propagation of the aorta in real-time phase contrast MRI using nonrigid registration.
Odille F; Steeden JA; Muthurangu V; Atkinson D
J Magn Reson Imaging; 2011 Jan; 33(1):232-8. PubMed ID: 21182145
[TBL] [Abstract][Full Text] [Related]
17. Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs.
Kafali SG; Shih SF; Li X; Kim GHJ; Kelly T; Chowdhury S; Loong S; Moretz J; Barnes SR; Li Z; Wu HH
MAGMA; 2024 Feb; ():. PubMed ID: 38300360
[TBL] [Abstract][Full Text] [Related]
18. Novel segmentation method for abdominal fat quantification by MRI.
Zhou A; Murillo H; Peng Q
J Magn Reson Imaging; 2011 Oct; 34(4):852-60. PubMed ID: 21769972
[TBL] [Abstract][Full Text] [Related]
19. A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging.
Ogunleye OA; Raviprakash H; Simmons AM; Bovell RTM; Martinez PE; Yanovski JA; Berman KF; Schmidt PJ; Jones EC; Bagheri H; Biassou NM; Hsu LY
Tomography; 2023 Jan; 9(1):139-149. PubMed ID: 36648999
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]