176 related articles for article (PubMed ID: 35591047)
1. Concordance of Computed Tomography Regional Body Composition Analysis Using a Fully Automated Open-Source Neural Network versus a Reference Semi-Automated Program with Manual Correction.
Gomez-Perez SL; Zhang Y; Byrne C; Wakefield C; Geesey T; Sclamberg J; Peterson S
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591047
[TBL] [Abstract][Full Text] [Related]
2. Validation of skeletal muscle and adipose tissue measurements using a fully automated body composition analysis neural network versus a semi-automatic reference program with human correction in patients with lung cancer.
Byrne CA; Zhang Y; Fantuzzi G; Geesey T; Shah P; Gomez SL
Heliyon; 2022 Dec; 8(12):e12536. PubMed ID: 36619471
[TBL] [Abstract][Full Text] [Related]
3. Body composition from single versus multi-slice abdominal computed tomography: Concordance and associations with colorectal cancer survival.
Anyene I; Caan B; Williams GR; Popuri K; Lenchik L; Giri S; Chow V; Beg MF; Cespedes Feliciano EM
J Cachexia Sarcopenia Muscle; 2022 Dec; 13(6):2974-2984. PubMed ID: 36052755
[TBL] [Abstract][Full Text] [Related]
4. Clinical evaluation of automated segmentation for body composition analysis on abdominal L3 CT slices in polytrauma patients.
Ackermans LLGC; Volmer L; Timmermans QMMA; Brecheisen R; Damink SMWO; Dekker A; Loeffen D; Poeze M; Blokhuis TJ; Wee L; Ten Bosch JA
Injury; 2022 Nov; 53 Suppl 3():S30-S41. PubMed ID: 35680433
[TBL] [Abstract][Full Text] [Related]
5. Fully Automated Segmentation of Connective Tissue Compartments for CT-Based Body Composition Analysis: A Deep Learning Approach.
Nowak S; Faron A; Luetkens JA; Geißler HL; Praktiknjo M; Block W; Thomas D; Sprinkart AM
Invest Radiol; 2020 Jun; 55(6):357-366. PubMed ID: 32369318
[TBL] [Abstract][Full Text] [Related]
6. Significance of Acquisition Parameters for Adipose Tissue Segmentation on CT Images.
Troschel AS; Troschel FM; Fuchs G; Marquardt JP; Ackman JB; Yang K; Fintelmann FJ
AJR Am J Roentgenol; 2021 Jul; 217(1):177-185. PubMed ID: 33729886
[No Abstract] [Full Text] [Related]
7. Deep learning method for localization and segmentation of abdominal CT.
Dabiri S; Popuri K; Ma C; Chow V; Feliciano EMC; Caan BJ; Baracos VE; Beg MF
Comput Med Imaging Graph; 2020 Oct; 85():101776. PubMed ID: 32862015
[TBL] [Abstract][Full Text] [Related]
8. Automated body composition analysis of clinically acquired computed tomography scans using neural networks.
Paris MT; Tandon P; Heyland DK; Furberg H; Premji T; Low G; Mourtzakis M
Clin Nutr; 2020 Oct; 39(10):3049-3055. PubMed ID: 32007318
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Comparison between skeletal muscle and adipose tissue measurements with high-dose CT and low-dose attenuation correction CT of
Albano D; Camoni L; Rinaldi R; Tucci A; Zilioli VR; Muzi C; Ravanelli M; Farina D; Coppola A; Camalori M; Giubbini R; Bertagna F
Br J Radiol; 2021 Jul; 94(1123):20200672. PubMed ID: 34106736
[TBL] [Abstract][Full Text] [Related]
11. Automated versus manual analysis of body composition measures on computed tomography in patients with bladder cancer.
Rigiroli F; Zhang D; Molinger J; Wang Y; Chang A; Wischmeyer PE; Inman BA; Gupta RT
Eur J Radiol; 2022 Sep; 154():110413. PubMed ID: 35732083
[TBL] [Abstract][Full Text] [Related]
12. Utility of Fully Automated Body Composition Measures on Pretreatment Abdominal CT for Predicting Survival in Patients With Colorectal Cancer.
Lee MH; Pickhardt SG; Garrett JW; Perez AA; Zea R; Valle KF; Lubner MG; Bates DDB; Summers RM; Pickhardt PJ
AJR Am J Roentgenol; 2023 Mar; 220(3):371-380. PubMed ID: 36000663
[No Abstract] [Full Text] [Related]
13. Using a new artificial intelligence-aided method to assess body composition CT segmentation in colorectal cancer patients.
Cao K; Yeung J; Arafat Y; Qiao J; Gartrell R; Master M; Yeung JMC; Baird PN
J Med Radiat Sci; 2024 May; ():. PubMed ID: 38777346
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of automated computed tomography segmentation to assess body composition and mortality associations in cancer patients.
Cespedes Feliciano EM; Popuri K; Cobzas D; Baracos VE; Beg MF; Khan AD; Ma C; Chow V; Prado CM; Xiao J; Liu V; Chen WY; Meyerhardt J; Albers KB; Caan BJ
J Cachexia Sarcopenia Muscle; 2020 Oct; 11(5):1258-1269. PubMed ID: 32314543
[TBL] [Abstract][Full Text] [Related]
15. Automated segmentation of five different body tissues on computed tomography using deep learning.
Pu L; Gezer NS; Ashraf SF; Ocak I; Dresser DE; Dhupar R
Med Phys; 2023 Jan; 50(1):178-191. PubMed ID: 36008356
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. End-to-end automated body composition analyses with integrated quality control for opportunistic assessment of sarcopenia in CT.
Nowak S; Theis M; Wichtmann BD; Faron A; Froelich MF; Tollens F; Geißler HL; Block W; Luetkens JA; Attenberger UI; Sprinkart AM
Eur Radiol; 2022 May; 32(5):3142-3151. PubMed ID: 34595539
[TBL] [Abstract][Full Text] [Related]
18. Assessment of body composition in breast cancer patients: concordance between transverse computed tomography analysis at the fourth thoracic and third lumbar vertebrae.
Daly A; Newman L; Thomas A; Munro A; Spence C; Long J; Arnott J; Durkin K; Layfield D; Heetun A; Wootton S; Copson ER; Cutress RI
Front Nutr; 2024; 11():1366768. PubMed ID: 38716071
[TBL] [Abstract][Full Text] [Related]
19. Quantification of adipose tissues by Dual-Energy X-Ray Absorptiometry and Computed Tomography in colorectal cancer patients.
Alavi DH; Henriksen HB; Lauritzen PM; Kværner AS; Sakinis T; Langleite TM; Henriksen C; Bøhn SK; Paur I; Wiedswang G; Smeland S; Blomhoff R
Clin Nutr ESPEN; 2021 Jun; 43():360-368. PubMed ID: 34024541
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients.
Ackermans LLGC; Volmer L; Wee L; Brecheisen R; Sánchez-González P; Seiffert AP; Gómez EJ; Dekker A; Ten Bosch JA; Olde Damink SMW; Blokhuis TJ
Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33809710
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]