176 related articles for article (PubMed ID: 25310298)
1. 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; 9(10):e108979. PubMed ID: 25310298
[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. 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]
4. 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
[TBL] [Abstract][Full Text] [Related]
5. 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
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Weight-loss diet alone or combined with resistance training induces different regional visceral fat changes in obese women.
Idoate F; Ibañez J; Gorostiaga EM; García-Unciti M; Martínez-Labari C; Izquierdo M
Int J Obes (Lond); 2011 May; 35(5):700-13. PubMed ID: 20820174
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. 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]
12. A single MRI slice does not accurately predict visceral and subcutaneous adipose tissue changes during weight loss.
Shen W; Chen J; Gantz M; Velasquez G; Punyanitya M; Heymsfield SB
Obesity (Silver Spring); 2012 Dec; 20(12):2458-63. PubMed ID: 22728693
[TBL] [Abstract][Full Text] [Related]
13. Visceral adiposity and inflammatory bowel disease.
Rowan CR; McManus J; Boland K; O'Toole A
Int J Colorectal Dis; 2021 Nov; 36(11):2305-2319. PubMed ID: 34104989
[TBL] [Abstract][Full Text] [Related]
14. Comparison of CT and Dixon MR Abdominal Adipose Tissue Quantification Using a Unified Computer-Assisted Software Framework.
Hsu LY; Ali Z; Bagheri H; Huda F; Redd BA; Jones EC
Tomography; 2023 May; 9(3):1041-1051. PubMed ID: 37218945
[TBL] [Abstract][Full Text] [Related]
15. MR-detected changes in liver fat, abdominal fat, and vertebral bone marrow fat after a four-week calorie restriction in obese women.
Cordes C; Dieckmeyer M; Ott B; Shen J; Ruschke S; Settles M; Eichhorn C; Bauer JS; Kooijman H; Rummeny EJ; Skurk T; Baum T; Hauner H; Karampinos DC
J Magn Reson Imaging; 2015 Nov; 42(5):1272-80. PubMed ID: 25865456
[TBL] [Abstract][Full Text] [Related]
16. Optimization of abdominal fat quantification on CT imaging through use of standardized anatomic space: a novel approach.
Tong Y; Udupa JK; Torigian DA
Med Phys; 2014 Jun; 41(6):063501. PubMed ID: 24877839
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Factors associated with percent change in visceral versus subcutaneous abdominal fat during weight loss: findings from a systematic review.
Chaston TB; Dixon JB
Int J Obes (Lond); 2008 Apr; 32(4):619-28. PubMed ID: 18180786
[TBL] [Abstract][Full Text] [Related]
19. Comparisons of calorie restriction and structured exercise on reductions in visceral and abdominal subcutaneous adipose tissue: a systematic review.
Abe T; Song JS; Bell ZW; Wong V; Spitz RW; Yamada Y; Loenneke JP
Eur J Clin Nutr; 2022 Feb; 76(2):184-195. PubMed ID: 34040197
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
