142 related articles for article (PubMed ID: 28285906)
1. Vertebrae localization in CT using both local and global symmetry features.
Kim K; Lee S
Comput Med Imaging Graph; 2017 Jun; 58():45-55. PubMed ID: 28285906
[TBL] [Abstract][Full Text] [Related]
2. Lumbar spine segmentation method based on deep learning.
Lu H; Li M; Yu K; Zhang Y; Yu L
J Appl Clin Med Phys; 2023 Jun; 24(6):e13996. PubMed ID: 37082799
[TBL] [Abstract][Full Text] [Related]
3. A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation.
Korez R; Ibragimov B; Likar B; Pernuš F; Vrtovec T
IEEE Trans Med Imaging; 2015 Aug; 34(8):1649-62. PubMed ID: 25585415
[TBL] [Abstract][Full Text] [Related]
4. Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information.
Liao H; Mesfin A; Luo J
IEEE Trans Med Imaging; 2018 May; 37(5):1266-1275. PubMed ID: 29727289
[TBL] [Abstract][Full Text] [Related]
5. Multi-Modality Vertebra Recognition in Arbitrary Views Using 3D Deformable Hierarchical Model.
Cai Y; Osman S; Sharma M; Landis M; Li S
IEEE Trans Med Imaging; 2015 Aug; 34(8):1676-93. PubMed ID: 25594966
[TBL] [Abstract][Full Text] [Related]
6. Learning-based vertebra localization and labeling in 3D CT data of possibly incomplete and pathological spines.
Jakubicek R; Chmelik J; Jan J; Ourednicek P; Lambert L; Gavelli G
Comput Methods Programs Biomed; 2020 Jan; 183():105081. PubMed ID: 31600607
[TBL] [Abstract][Full Text] [Related]
7. Automated spine and vertebrae detection in CT images using object-based image analysis.
Schwier M; Chitiboi T; Hülnhagen T; Hahn HK
Int J Numer Method Biomed Eng; 2013 Sep; 29(9):938-63. PubMed ID: 23946190
[TBL] [Abstract][Full Text] [Related]
8. Automated model-based vertebra detection, identification, and segmentation in CT images.
Klinder T; Ostermann J; Ehm M; Franz A; Kneser R; Lorenz C
Med Image Anal; 2009 Jun; 13(3):471-82. PubMed ID: 19285910
[TBL] [Abstract][Full Text] [Related]
9. Unsupervised Scoliosis Diagnosis via a Joint Recognition Method with Multifeature Descriptors and Centroids Extraction.
Zhang L; Zhao J; Yang H; Jiang Z; Li Q
Comput Math Methods Med; 2018; 2018():6213264. PubMed ID: 30356395
[TBL] [Abstract][Full Text] [Related]
10. Automatic inference of articulated spine models in CT images using high-order Markov Random Fields.
Kadoury S; Labelle H; Paragios N
Med Image Anal; 2011 Aug; 15(4):426-37. PubMed ID: 21354853
[TBL] [Abstract][Full Text] [Related]
11. An improved level set method for vertebra CT image segmentation.
Huang J; Jian F; Wu H; Li H
Biomed Eng Online; 2013 May; 12():48. PubMed ID: 23714300
[TBL] [Abstract][Full Text] [Related]
12. Automatic vertebrae localization and segmentation in CT with a two-stage Dense-U-Net.
Cheng P; Yang Y; Yu H; He Y
Sci Rep; 2021 Nov; 11(1):22156. PubMed ID: 34772972
[TBL] [Abstract][Full Text] [Related]
13. Quantitative analysis of spinal curvature in 3D: application to CT images of normal spine.
Vrtovec T; Likar B; Pernus F
Phys Med Biol; 2008 Apr; 53(7):1895-908. PubMed ID: 18364545
[TBL] [Abstract][Full Text] [Related]
14. Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images.
Wang J; Cheng Y; Guo C; Wang Y; Tamura S
Int J Comput Assist Radiol Surg; 2016 May; 11(5):817-26. PubMed ID: 26646416
[TBL] [Abstract][Full Text] [Related]
15. Lumbar spine segmentation using a statistical multi-vertebrae anatomical shape+pose model.
Rasoulian A; Rohling R; Abolmaesumi P
IEEE Trans Med Imaging; 2013 Oct; 32(10):1890-900. PubMed ID: 23771318
[TBL] [Abstract][Full Text] [Related]
16. Automatic segmentation of vertebrae in 3D CT images using adaptive fast 3D pulse coupled neural networks.
Zareie M; Parsaei H; Amiri S; Awan MS; Ghofrani M
Australas Phys Eng Sci Med; 2018 Dec; 41(4):1009-1020. PubMed ID: 30377948
[TBL] [Abstract][Full Text] [Related]
17. Spine segmentation in medical images using manifold embeddings and higher-order MRFs.
Kadoury S; Labelle H; Paragios N
IEEE Trans Med Imaging; 2013 Jul; 32(7):1227-38. PubMed ID: 23629848
[TBL] [Abstract][Full Text] [Related]
18. Personalized X-ray 3-D reconstruction of the scoliotic spine from hybrid statistical and image-based models.
Kadoury S; Cheriet F; Labelle H
IEEE Trans Med Imaging; 2009 Sep; 28(9):1422-35. PubMed ID: 19336299
[TBL] [Abstract][Full Text] [Related]
19. Performance evaluation of MIND demons deformable registration of MR and CT images in spinal interventions.
Reaungamornrat S; De Silva T; Uneri A; Goerres J; Jacobson M; Ketcha M; Vogt S; Kleinszig G; Khanna AJ; Wolinsky JP; Prince JL; Siewerdsen JH
Phys Med Biol; 2016 Dec; 61(23):8276-8297. PubMed ID: 27811396
[TBL] [Abstract][Full Text] [Related]
20. Object-constrained meshless deformable algorithm for high speed 3D nonrigid registration between CT and CBCT.
Chen T; Kim S; Goyal S; Jabbour S; Zhou J; Rajagopal G; Haffty B; Yue N
Med Phys; 2010 Jan; 37(1):197-210. PubMed ID: 20175482
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]