108 related articles for article (PubMed ID: 28650514)
21. Fully automatic cervical vertebrae segmentation framework for X-ray images.
Al Arif SMMR; Knapp K; Slabaugh G
Comput Methods Programs Biomed; 2018 Apr; 157():95-111. PubMed ID: 29477438
[TBL] [Abstract][Full Text] [Related]
22. Evaluation of a multi-atlas based method for segmentation of cardiac CTA data: a large-scale, multicenter, and multivendor study.
Kirişli HA; Schaap M; Klein S; Papadopoulou SL; Bonardi M; Chen CH; Weustink AC; Mollet NR; Vonken EJ; van der Geest RJ; van Walsum T; Niessen WJ
Med Phys; 2010 Dec; 37(12):6279-91. PubMed ID: 21302784
[TBL] [Abstract][Full Text] [Related]
23. Automatic and hierarchical segmentation of the human skeleton in CT images.
Fu Y; Liu S; Li H; Yang D
Phys Med Biol; 2017 Apr; 62(7):2812-2833. PubMed ID: 28195561
[TBL] [Abstract][Full Text] [Related]
24. Augmenting atlas-based liver segmentation for radiotherapy treatment planning by incorporating image features proximal to the atlas contours.
Li D; Liu L; Chen J; Li H; Yin Y; Ibragimov B; Xing L
Phys Med Biol; 2017 Jan; 62(1):272-288. PubMed ID: 27991439
[TBL] [Abstract][Full Text] [Related]
25. Atlas-based segmentation in breast cancer radiotherapy: Evaluation of specific and generic-purpose atlases.
Ciardo D; Gerardi MA; Vigorito S; Morra A; Dell'acqua V; Diaz FJ; Cattani F; Zaffino P; Ricotti R; Spadea MF; Riboldi M; Orecchia R; Baroni G; Leonardi MC; Jereczek-Fossa BA
Breast; 2017 Apr; 32():44-52. PubMed ID: 28033509
[TBL] [Abstract][Full Text] [Related]
26. Auto-segmentation of normal and target structures in head and neck CT images: a feature-driven model-based approach.
Qazi AA; Pekar V; Kim J; Xie J; Breen SL; Jaffray DA
Med Phys; 2011 Nov; 38(11):6160-70. PubMed ID: 22047381
[TBL] [Abstract][Full Text] [Related]
27. Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy.
Yang J; Beadle BM; Garden AS; Gunn B; Rosenthal D; Ang K; Frank S; Williamson R; Balter P; Court L; Dong L
Pract Radiat Oncol; 2014; 4(1):e31-7. PubMed ID: 24621429
[TBL] [Abstract][Full Text] [Related]
28. The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planning.
Wardman K; Prestwich RJ; Gooding MJ; Speight RJ
J Appl Clin Med Phys; 2016 Jul; 17(4):146-154. PubMed ID: 27455480
[TBL] [Abstract][Full Text] [Related]
29. Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection.
Zhuang X; Bai W; Song J; Zhan S; Qian X; Shi W; Lian Y; Rueckert D
Med Phys; 2015 Jul; 42(7):3822-33. PubMed ID: 26133584
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Automatic 3D liver location and segmentation via convolutional neural network and graph cut.
Lu F; Wu F; Hu P; Peng Z; Kong D
Int J Comput Assist Radiol Surg; 2017 Feb; 12(2):171-182. PubMed ID: 27604760
[TBL] [Abstract][Full Text] [Related]
32. Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET-MRI-guided radiotherapy treatment planning.
Arabi H; Koutsouvelis N; Rouzaud M; Miralbell R; Zaidi H
Phys Med Biol; 2016 Sep; 61(17):6531-52. PubMed ID: 27524504
[TBL] [Abstract][Full Text] [Related]
33. Low-rank and sparse decomposition based shape model and probabilistic atlas for automatic pathological organ segmentation.
Shi C; Cheng Y; Wang J; Wang Y; Mori K; Tamura S
Med Image Anal; 2017 May; 38():30-49. PubMed ID: 28279915
[TBL] [Abstract][Full Text] [Related]
34. Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration.
Sun K; Udupa JK; Odhner D; Tong Y; Zhao L; Torigian DA
Med Phys; 2016 Mar; 43(3):1487-500. PubMed ID: 26936732
[TBL] [Abstract][Full Text] [Related]
35. Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT.
Zhou J; Yan Z; Lasio G; Huang J; Zhang B; Sharma N; Prado K; D'Souza W
Comput Med Imaging Graph; 2015 Dec; 46 Pt 1():47-55. PubMed ID: 26256737
[TBL] [Abstract][Full Text] [Related]
36. A deformable-model approach to semi-automatic segmentation of CT images demonstrated by application to the spinal canal.
Burnett SS; Starkschalla G; Stevens CW; Liao Z
Med Phys; 2004 Feb; 31(2):251-63. PubMed ID: 15000611
[TBL] [Abstract][Full Text] [Related]
37. Clinical Evaluation of Commercial Atlas-Based Auto-Segmentation in the Head and Neck Region.
Lee H; Lee E; Kim N; Kim JH; Park K; Lee H; Chun J; Shin JI; Chang JS; Kim JS
Front Oncol; 2019; 9():239. PubMed ID: 31024843
[No Abstract] [Full Text] [Related]
38. A Segmentation Algorithm for Quantitative Analysis of Heterogeneous Tumors of the Cervix With ¹⁸F-FDG PET/CT.
Mu W; Chen Z; Shen W; Yang F; Liang Y; Dai R; Wu N; Tian J
IEEE Trans Biomed Eng; 2015 Oct; 62(10):2465-79. PubMed ID: 25993699
[TBL] [Abstract][Full Text] [Related]
39. Quantitative characterization of metastatic disease in the spine. Part I. Semiautomated segmentation using atlas-based deformable registration and the level set method.
Hardisty M; Gordon L; Agarwal P; Skrinskas T; Whyne C
Med Phys; 2007 Aug; 34(8):3127-34. PubMed ID: 17879773
[TBL] [Abstract][Full Text] [Related]
40. Automatic tissue segmentation of head and neck MR images for hyperthermia treatment planning.
Fortunati V; Verhaart RF; Niessen WJ; Veenland JF; Paulides MM; van Walsum T
Phys Med Biol; 2015 Aug; 60(16):6547-62. PubMed ID: 26267068
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
