158 related articles for article (PubMed ID: 36988714)
21. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
22. Body Composition Analysis of Computed Tomography Scans in Clinical Populations: The Role of Deep Learning.
Paris MT
Lifestyle Genom; 2020; 13(1):28-31. PubMed ID: 31822001
[TBL] [Abstract][Full Text] [Related]
23. CT-derived pectoralis composition and incident pneumonia hospitalization using fully automated deep-learning algorithm: multi-ethnic study of atherosclerosis.
Ibad HA; Hathaway QA; Bluemke DA; Kasaeian A; Klein JG; Budoff MJ; Barr RG; Allison M; Post WS; Lima JAC; Demehri S
Eur Radiol; 2023 Nov; ():. PubMed ID: 37951855
[TBL] [Abstract][Full Text] [Related]
24. Body composition predictors of mortality on computed tomography in patients with spinal metastases undergoing surgical treatment.
Bongers MER; Groot OQ; Buckless CG; Kapoor ND; Twining PK; Schwab JH; Torriani M; Bredella MA
Spine J; 2022 Apr; 22(4):595-604. PubMed ID: 34699994
[TBL] [Abstract][Full Text] [Related]
25. Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning.
Liang S; Tang F; Huang X; Yang K; Zhong T; Hu R; Liu S; Yuan X; Zhang Y
Eur Radiol; 2019 Apr; 29(4):1961-1967. PubMed ID: 30302589
[TBL] [Abstract][Full Text] [Related]
26. Quantification of body-torso-wide tissue composition on low-dose CT images via automatic anatomy recognition.
Liu T; Udupa JK; Miao Q; Tong Y; Torigian DA
Med Phys; 2019 Mar; 46(3):1272-1285. PubMed ID: 30614020
[TBL] [Abstract][Full Text] [Related]
27. Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography.
Park HJ; Shin Y; Park J; Kim H; Lee IS; Seo DW; Huh J; Lee TY; Park T; Lee J; Kim KW
Korean J Radiol; 2020 Jan; 21(1):88-100. PubMed ID: 31920032
[TBL] [Abstract][Full Text] [Related]
28. Defining Normal Ranges of Skeletal Muscle Area and Skeletal Muscle Index in Children on CT Using an Automated Deep Learning Pipeline: Implications for Sarcopenia Diagnosis.
Somasundaram E; Castiglione JA; Brady SL; Trout AT
AJR Am J Roentgenol; 2022 Aug; 219(2):326-336. PubMed ID: 35234481
[No Abstract] [Full Text] [Related]
29. Evaluation of Semiautomatic and Deep Learning-Based Fully Automatic Segmentation Methods on [
Constantino CS; Leocádio S; Oliveira FPM; Silva M; Oliveira C; Castanheira JC; Silva Â; Vaz S; Teixeira R; Neves M; Lúcio P; João C; Costa DC
J Digit Imaging; 2023 Aug; 36(4):1864-1876. PubMed ID: 37059891
[TBL] [Abstract][Full Text] [Related]
30. Deep learning-based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer.
Keyl J; Hosch R; Berger A; Ester O; Greiner T; Bogner S; Treckmann J; Ting S; Schumacher B; Albers D; Markus P; Wiesweg M; Forsting M; Nensa F; Schuler M; Kasper S; Kleesiek J
J Cachexia Sarcopenia Muscle; 2023 Feb; 14(1):545-552. PubMed ID: 36544260
[TBL] [Abstract][Full Text] [Related]
31. Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning.
Weston AD; Korfiatis P; Kline TL; Philbrick KA; Kostandy P; Sakinis T; Sugimoto M; Takahashi N; Erickson BJ
Radiology; 2019 Mar; 290(3):669-679. PubMed ID: 30526356
[TBL] [Abstract][Full Text] [Related]
32. Prognostic Value of Fluorine-18-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Imaging for Predicting Venous Thromboembolism in Children With Lymphoma.
Beall M; Deep K; Tram NK; Nabavinia M; Janse SA; Chou TH; Hardisky D; Bobbey AJ; Kerlin BA; Audino AN; Stacy MR
Circ Cardiovasc Imaging; 2023 Apr; 16(4):e014992. PubMed ID: 37013817
[TBL] [Abstract][Full Text] [Related]
33. Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique.
Lee S; Choi YH; Cho YJ; Lee SB; Cheon JE; Kim WS; Ahn CK; Kim JH
Eur Radiol; 2021 Apr; 31(4):2218-2226. PubMed ID: 33030573
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Skeletal muscle mass and adipose tissue alteration in critically ill patients.
Dusseaux MM; Antoun S; Grigioni S; Béduneau G; Carpentier D; Girault C; Grange S; Tamion F
PLoS One; 2019; 14(6):e0216991. PubMed ID: 31194755
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Object recognition in medical images via anatomy-guided deep learning.
Jin C; Udupa JK; Zhao L; Tong Y; Odhner D; Pednekar G; Nag S; Lewis S; Poole N; Mannikeri S; Govindasamy S; Singh A; Camaratta J; Owens S; Torigian DA
Med Image Anal; 2022 Oct; 81():102527. PubMed ID: 35830745
[TBL] [Abstract][Full Text] [Related]
40. Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.
Jiang Y; Liang X; Han Z; Wang W; Xi S; Li T; Chen C; Yuan Q; Li N; Yu J; Xie Y; Xu Y; Zhou Z; Poultsides GA; Li G; Li R
Lancet Digit Health; 2021 Jun; 3(6):e371-e382. PubMed ID: 34045003
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
