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Items: 1 to 20 of 88

1.

Automatic and Quantitative Measurement of Collagen Gel Contraction Using Model-Guided Segmentation.

Chen HC, Yang TH, Thoreson AR, Zhao C, Amadio PC, Sun YN, Su FC, An KN.

Meas Sci Technol. 2013 Aug;24(8):85702.

2.

Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning.

Guo Y, Gao Y, Shao Y, Price T, Oto A, Shen D.

Med Phys. 2014 Jul;41(7):072303. doi: 10.1118/1.4884224.

3.

Fast automatic 3D liver segmentation based on a three-level AdaBoost-guided active shape model.

He B, Huang C, Sharp G, Zhou S, Hu Q, Fang C, Fan Y, Jia F.

Med Phys. 2016 May;43(5):2421. doi: 10.1118/1.4946817.

PMID:
27147353
4.

Multi-scale and shape constrained localized region-based active contour segmentation of uterine fibroid ultrasound images in HIFU therapy.

Liao X, Yuan Z, Zheng Q, Yin Q, Zhang D, Zhao J.

PLoS One. 2014 Jul 25;9(7):e103334. doi: 10.1371/journal.pone.0103334. eCollection 2014.

5.

A knowledge-based approach for carpal tunnel segmentation from magnetic resonance images.

Chen HC, Wang YY, Lin CH, Wang CK, Jou IM, Su FC, Sun YN.

J Digit Imaging. 2013 Jun;26(3):510-20. doi: 10.1007/s10278-012-9530-2.

6.

Robust, accurate and fast automatic segmentation of the spinal cord.

De Leener B, Kadoury S, Cohen-Adad J.

Neuroimage. 2014 Sep;98:528-36. doi: 10.1016/j.neuroimage.2014.04.051. Epub 2014 Apr 27.

PMID:
24780696
7.
8.

A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images.

Ghose S, Oliver A, Mitra J, Martí R, Lladó X, Freixenet J, Sidibé D, Vilanova JC, Comet J, Meriaudeau F.

Med Image Anal. 2013 Aug;17(6):587-600. doi: 10.1016/j.media.2013.04.001. Epub 2013 Apr 11.

PMID:
23666263
9.

User-guided segmentation of preterm neonate ventricular system from 3-D ultrasound images using convex optimization.

Qiu W, Yuan J, Kishimoto J, McLeod J, Chen Y, de Ribaupierre S, Fenster A.

Ultrasound Med Biol. 2015 Feb;41(2):542-56. doi: 10.1016/j.ultrasmedbio.2014.09.019. Epub 2014 Dec 23.

PMID:
25542486
10.

A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning.

Ghose S, Holloway L, Lim K, Chan P, Veera J, Vinod SK, Liney G, Greer PB, Dowling J.

Artif Intell Med. 2015 Jun;64(2):75-87. doi: 10.1016/j.artmed.2015.04.006. Epub 2015 May 16. Review.

PMID:
26025124
11.

Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation.

Daisne JF, Blumhofer A.

Radiat Oncol. 2013 Jun 26;8:154. doi: 10.1186/1748-717X-8-154.

12.

Segmentation of myocardium from cardiac MR images using a novel dynamic programming based segmentation method.

Qian X, Lin Y, Zhao Y, Wang J, Liu J, Zhuang X.

Med Phys. 2015 Mar;42(3):1424-35. doi: 10.1118/1.4907993.

PMID:
25735296
13.

Registration-based segmentation of three-dimensional ultrasound images for quantitative measurement of fetal craniofacial structure.

Chen HC, Tsai PY, Huang HH, Shih HH, Wang YY, Chang CH, Sun YN.

Ultrasound Med Biol. 2012 May;38(5):811-23. doi: 10.1016/j.ultrasmedbio.2012.01.025. Epub 2012 Mar 16.

PMID:
22425377
14.

Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images.

Shao Y, Gao Y, Wang Q, Yang X, Shen D.

Med Image Anal. 2015 Dec;26(1):345-56. doi: 10.1016/j.media.2015.06.007. Epub 2015 Oct 2.

15.

Interactive prostate segmentation using atlas-guided semi-supervised learning and adaptive feature selection.

Park SH, Gao Y, Shi Y, Shen D.

Med Phys. 2014 Nov;41(11):111715. doi: 10.1118/1.4898200.

16.

3D liver segmentation using multiple region appearances and graph cuts.

Peng J, Hu P, Lu F, Peng Z, Kong D, Zhang H.

Med Phys. 2015 Dec;42(12):6840-52. doi: 10.1118/1.4934834.

PMID:
26632041
17.

Automatic segmentation of myocardium at risk from contrast enhanced SSFP CMR: validation against expert readers and SPECT.

Tufvesson J, Carlsson M, Aletras AH, Engblom H, Deux JF, Koul S, Sörensson P, Pernow J, Atar D, Erlinge D, Arheden H, Heiberg E.

BMC Med Imaging. 2016 Mar 5;16:19. doi: 10.1186/s12880-016-0124-1.

18.

3-D Ultrasound Segmentation of the Placenta Using the Random Walker Algorithm: Reliability and Agreement.

Stevenson GN, Collins SL, Ding J, Impey L, Noble JA.

Ultrasound Med Biol. 2015 Dec;41(12):3182-93. doi: 10.1016/j.ultrasmedbio.2015.07.021. Epub 2015 Sep 1.

PMID:
26341043
19.

Kidney segmentation in CT sequences using graph cuts based active contours model and contextual continuity.

Zhang P, Liang Y, Chang S, Fan H.

Med Phys. 2013 Aug;40(8):081905. doi: 10.1118/1.4812428.

PMID:
23927319
20.

Semiautomatic bladder segmentation on CBCT using a population-based model for multiple-plan ART of bladder cancer.

Chai X, van Herk M, Betgen A, Hulshof M, Bel A.

Phys Med Biol. 2012 Dec 21;57(24):N525-41. doi: 10.1088/0031-9155/57/24/N525. Epub 2012 Nov 29.

PMID:
23190683

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