169 related articles for article (PubMed ID: 37082799)
1. 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]
2. Automatic detection and segmentation of lumbar vertebrae from X-ray images for compression fracture evaluation.
Kim KC; Cho HC; Jang TJ; Choi JM; Seo JK
Comput Methods Programs Biomed; 2021 Mar; 200():105833. PubMed ID: 33250283
[TBL] [Abstract][Full Text] [Related]
3. Anatomy-aware computed tomography-to-ultrasound spine registration.
Azampour MF; Tirindelli M; Lameski J; Gafencu M; Tagliabue E; Fatemizadeh E; Hacihaliloglu I; Navab N
Med Phys; 2024 Mar; 51(3):2044-2056. PubMed ID: 37708456
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. A novel 3D lumbar vertebrae location and segmentation method based on the fusion envelope of 2D hybrid visual projection images.
Wu Z; Xia G; Zhang X; Zhou F; Ling J; Ni X; Li Y
Comput Biol Med; 2022 Dec; 151(Pt A):106190. PubMed ID: 36306575
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Multi-object Model-Based Multi-atlas Segmentation Constrained Grid Cut for Automatic Segmentation of Lumbar Vertebrae from CT Images.
Yu W; Liu W; Tan L; Zhang S; Zheng G
Adv Exp Med Biol; 2018; 1093():65-71. PubMed ID: 30306472
[TBL] [Abstract][Full Text] [Related]
8. Automatic lumbar vertebrae detection based on feature fusion deep learning for partial occluded C-arm X-ray images.
Yang Li ; Wei Liang ; Yinlong Zhang ; Haibo An ; Jindong Tan
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():647-650. PubMed ID: 28268411
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Attention Gate Based Dual-Pathway Network for Vertebra Segmentation of X-Ray Spine Images.
Shi W; Xu T; Yang H; Xi Y; Du Y; Li J; Li J
IEEE J Biomed Health Inform; 2022 Aug; 26(8):3976-3987. PubMed ID: 35290194
[TBL] [Abstract][Full Text] [Related]
11. Segmentation of lumbar vertebrae from clinical CT using active shape models and GVF-snake.
Al-Helo S; Alomari RS; Chaudhary V; Al-Zoubi MB
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():8033-6. PubMed ID: 22256205
[TBL] [Abstract][Full Text] [Related]
12. An automatic method for feature segmentation of human thoracic and lumbar vertebrae.
Di Angelo L; Di Stefano P; Guardiani E
Comput Methods Programs Biomed; 2021 Oct; 210():106360. PubMed ID: 34517183
[TBL] [Abstract][Full Text] [Related]
13. Spine Explorer: a deep learning based fully automated program for efficient and reliable quantifications of the vertebrae and discs on sagittal lumbar spine MR images.
Huang J; Shen H; Wu J; Hu X; Zhu Z; Lv X; Liu Y; Wang Y
Spine J; 2020 Apr; 20(4):590-599. PubMed ID: 31759132
[TBL] [Abstract][Full Text] [Related]
14. Automated Magnetic Resonance Image Segmentation of Spinal Structures at the L4-5 Level with Deep Learning: 3D Reconstruction of Lumbar Intervertebral Foramen.
Chen T; Su ZH; Liu Z; Wang M; Cui ZF; Zhao L; Yang LJ; Zhang WC; Liu X; Liu J; Tan SY; Li SL; Feng QJ; Pang SM; Lu H
Orthop Surg; 2022 Sep; 14(9):2256-2264. PubMed ID: 35979964
[TBL] [Abstract][Full Text] [Related]
15. Lumbar spine segmentation in MR images: a dataset and a public benchmark.
van der Graaf JW; van Hooff ML; Buckens CFM; Rutten M; van Susante JLC; Kroeze RJ; de Kleuver M; van Ginneken B; Lessmann N
Sci Data; 2024 Mar; 11(1):264. PubMed ID: 38431692
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Lumbar Vertebrae Synthetic Segmentation in Computed Tomography Images Using Hybrid Deep Generative Adversarial Networks.
Malinda V; Lee D
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1327-1330. PubMed ID: 33018233
[TBL] [Abstract][Full Text] [Related]
18. Deep Learning for Multi-Tissue Segmentation and Fully Automatic Personalized Biomechanical Models from BACPAC Clinical Lumbar Spine MRI.
Hess M; Allaire B; Gao KT; Tibrewala R; Inamdar G; Bharadwaj U; Chin C; Pedoia V; Bouxsein M; Anderson D; Majumdar S
Pain Med; 2023 Aug; 24(Suppl 1):S139-S148. PubMed ID: 36315069
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers.
Tao R; Liu W; Zheng G
Med Image Anal; 2022 Jan; 75():102258. PubMed ID: 34670147
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]