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.
129 related articles for article (PubMed ID: 30637136)
1. Semi-Automatic Segmentation of Vertebral Bodies in MR Images of Human Lumbar Spines. Kim S; Bae WC; Masuda K; Chung CB; Hwang D Appl Sci (Basel); 2018 Sep; 8(9):. PubMed ID: 30637136 [TBL] [Abstract][Full Text] [Related]
2. Fully Automatic Localization and Segmentation of 3D Vertebral Bodies from CT/MR Images via a Learning-Based Method. Chu C; Belavý DL; Armbrecht G; Bansmann M; Felsenberg D; Zheng G PLoS One; 2015; 10(11):e0143327. PubMed ID: 26599505 [TBL] [Abstract][Full Text] [Related]
3. Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification. Zhou J; Damasceno PF; Chachad R; Cheung JR; Ballatori A; Lotz JC; Lazar AA; Link TM; Fields AJ; Krug R Front Endocrinol (Lausanne); 2020; 11():612. PubMed ID: 32982989 [No Abstract] [Full Text] [Related]
4. Multi-Parameter Ensemble Learning for Automated Vertebral Body Segmentation in Heterogeneously Acquired Clinical MR Images. Gaonkar B; Xia Y; Villaroman DS; Ko A; Attiah M; Beckett JS; Macyszyn L IEEE J Transl Eng Health Med; 2017; 5():1800412. PubMed ID: 29018631 [TBL] [Abstract][Full Text] [Related]
5. Sagittal balance parameters measurement on cervical spine MR images based on superpixel segmentation. Zhong YF; Dai YX; Li SP; Zhu KJ; Lin YP; Ran Y; Chen L; Ruan Y; Yu PF; Li L; Li WX; Xu CL; Sun ZT; Weber KA; Kong DW; Yang F; Lin WP; Chen J; Chen BL; Jiang H; Zhou YJ; Sheng B; Wang YJ; Tian YZ; Sun YL Front Bioeng Biotechnol; 2024; 12():1337808. PubMed ID: 38681963 [No Abstract] [Full Text] [Related]
6. Semi-supervised hybrid spine network for segmentation of spine MR images. Huang M; Zhou S; Chen X; Lai H; Feng Q Comput Med Imaging Graph; 2023 Jul; 107():102245. PubMed ID: 37245416 [TBL] [Abstract][Full Text] [Related]
7. Parametric modelling and segmentation of vertebral bodies in 3D CT and MR spine images. Stern D; Likar B; Pernuš F; Vrtovec T Phys Med Biol; 2011 Dec; 56(23):7505-22. PubMed ID: 22080628 [TBL] [Abstract][Full Text] [Related]
8. Vertebral body segmentation in wide range clinical routine spine MRI data. Hille G; Saalfeld S; Serowy S; Tönnies K Comput Methods Programs Biomed; 2018 Mar; 155():93-99. PubMed ID: 29512508 [TBL] [Abstract][Full Text] [Related]
9. Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine. Stern D; Likar B; Pernus F; Vrtovec T Phys Med Biol; 2010 Jan; 55(1):247-64. PubMed ID: 20009200 [TBL] [Abstract][Full Text] [Related]
10. Adaptive segmentation of vertebral bodies from sagittal MR images based on local spatial information and Gaussian weighted chi-square distance. Zheng Q; Lu Z; Feng Q; Ma J; Yang W; Chen C; Chen W J Digit Imaging; 2013 Jun; 26(3):578-93. PubMed ID: 23149587 [TBL] [Abstract][Full Text] [Related]
11. Automatic segmentation of the glenohumeral cartilages from magnetic resonance images. Neubert A; Yang Z; Engstrom C; Xia Y; Strudwick MW; Chandra SS; Fripp J; Crozier S Med Phys; 2016 Oct; 43(10):5370. PubMed ID: 27782728 [TBL] [Abstract][Full Text] [Related]
12. Multi-atlas active contour segmentation method using template optimization algorithm. Wang M; Li P; Liu F BMC Med Imaging; 2019 May; 19(1):42. PubMed ID: 31126254 [TBL] [Abstract][Full Text] [Related]
13. A fully automated level-set based segmentation method of thoracic and lumbar vertebral bodies in Computed Tomography images. Ruiz-España S; Díaz-Parra A; Arana E; Moratal D Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():3049-52. PubMed ID: 26736935 [TBL] [Abstract][Full Text] [Related]
14. A potential field segmentation based method for tumor segmentation on multi-parametric MRI of glioma cancer patients. Sun R; Wang K; Guo L; Yang C; Chen J; Ti Y; Sa Y BMC Med Imaging; 2019 Jun; 19(1):48. PubMed ID: 31208349 [TBL] [Abstract][Full Text] [Related]
15. Rotationally resliced 3D prostate segmentation of MR images using Bhattacharyya similarity and active band theory. Tang Z; Wang M; Song Z Phys Med; 2018 Oct; 54():56-65. PubMed ID: 30337011 [TBL] [Abstract][Full Text] [Related]
16. Automatic delineation of on-line head-and-neck computed tomography images: toward on-line adaptive radiotherapy. Zhang T; Chi Y; Meldolesi E; Yan D Int J Radiat Oncol Biol Phys; 2007 Jun; 68(2):522-30. PubMed ID: 17418960 [TBL] [Abstract][Full Text] [Related]
17. A self-supervised strategy for fully automatic segmentation of renal dynamic contrast-enhanced magnetic resonance images. Huang W; Li H; Wang R; Zhang X; Wang X; Zhang J Med Phys; 2019 Oct; 46(10):4417-4430. PubMed ID: 31306492 [TBL] [Abstract][Full Text] [Related]
18. Evaluation of a Semi-automatic Right Ventricle Segmentation Method on Short-Axis MR Images. Yilmaz P; Wallecan K; Kristanto W; Aben JP; Moelker A J Digit Imaging; 2018 Oct; 31(5):670-679. PubMed ID: 29524154 [TBL] [Abstract][Full Text] [Related]