186 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]
16. Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation.
Graf R; Schmitt J; Schlaeger S; Möller HK; Sideri-Lampretsa V; Sekuboyina A; Krieg SM; Wiestler B; Menze B; Rueckert D; Kirschke JS
Eur Radiol Exp; 2023 Nov; 7(1):70. PubMed ID: 37957426
[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]