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.
183 related articles for article (PubMed ID: 26599505)
1. 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]
2. Localization and Segmentation of 3D Intervertebral Discs in MR Images by Data Driven Estimation. Chen C; Belavy D; Yu W; Chu C; Armbrecht G; Bansmann M; Felsenberg D; Zheng G IEEE Trans Med Imaging; 2015 Aug; 34(8):1719-29. PubMed ID: 25700441 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Automated 3D closed surface segmentation: application to vertebral body segmentation in CT images. Liu S; Xie Y; Reeves AP Int J Comput Assist Radiol Surg; 2016 May; 11(5):789-801. PubMed ID: 26558791 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Spine detection in CT and MR using iterated marginal space learning. Michael Kelm B; Wels M; Kevin Zhou S; Seifert S; Suehling M; Zheng Y; Comaniciu D Med Image Anal; 2013 Dec; 17(8):1283-92. PubMed ID: 23265800 [TBL] [Abstract][Full Text] [Related]
8. 3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images. Li X; Dou Q; Chen H; Fu CW; Qi X; Belavý DL; Armbrecht G; Felsenberg D; Zheng G; Heng PA Med Image Anal; 2018 Apr; 45():41-54. PubMed ID: 29414435 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications. Kamiya N; Li J; Kume M; Fujita H; Shen D; Zheng G Int J Comput Assist Radiol Surg; 2018 Nov; 13(11):1697-1706. PubMed ID: 30173335 [TBL] [Abstract][Full Text] [Related]
13. A robust and automatic CT-3D ultrasound registration method based on segmentation, context, and edge hybrid metric. He B; Zhao S; Dai Y; Wu J; Luo H; Guo J; Ni Z; Wu T; Kuang F; Jiang H; Zhang Y; Jia F Med Phys; 2023 Oct; 50(10):6243-6258. PubMed ID: 36975007 [TBL] [Abstract][Full Text] [Related]
14. Fully automatic cross-modality localization and labeling of vertebral bodies and intervertebral discs in 3D spinal images. Wimmer M; Major D; Novikov AA; Bühler K Int J Comput Assist Radiol Surg; 2018 Oct; 13(10):1591-1603. PubMed ID: 30027302 [TBL] [Abstract][Full Text] [Related]
15. Computerized Characterization of Spinal Structures on MRI and Clinical Significance of 3D Reconstruction of Lumbosacral Intervertebral Foramen. Liu Z; Su Z; Wang M; Chen T; Cui Z; Chen X; Li S; Feng Q; Pang S; Lu H Pain Physician; 2022 Jan; 25(1):E27-E35. PubMed ID: 35051149 [TBL] [Abstract][Full Text] [Related]
17. Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets. Hu P; Wu F; Peng J; Bao Y; Chen F; Kong D Int J Comput Assist Radiol Surg; 2017 Mar; 12(3):399-411. PubMed ID: 27885540 [TBL] [Abstract][Full Text] [Related]
18. Realistic C-arm to pCT registration for vertebral localization in spine surgery : A hybrid 3D-2D registration framework for intraoperative vertebral pose estimation. Naik RR; Anitha H ; Bhat SN; Ampar N; Kundangar R Med Biol Eng Comput; 2022 Aug; 60(8):2271-2289. PubMed ID: 35680729 [TBL] [Abstract][Full Text] [Related]
19. The Learning-based Automatic Segmentation Algorithm of Brain MR Images Based on 7T. Deng M; Zhenhao J; Yu R; Zeng Q Curr Med Imaging; 2021; 17(3):342-351. PubMed ID: 32767946 [TBL] [Abstract][Full Text] [Related]
20. Automatic localization of vertebral levels in x-ray fluoroscopy using 3D-2D registration: a tool to reduce wrong-site surgery. Otake Y; Schafer S; Stayman JW; Zbijewski W; Kleinszig G; Graumann R; Khanna AJ; Siewerdsen JH Phys Med Biol; 2012 Sep; 57(17):5485-508. PubMed ID: 22864366 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]