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Items: 1 to 20 of 105

1.

Segmentation of neuronal structures using SARSA (λ)-based boundary amendment with reinforced gradient-descent curve shape fitting.

Zhu F, Liu Q, Fu Y, Shen B.

PLoS One. 2014 Mar 13;9(3):e90873. doi: 10.1371/journal.pone.0090873. eCollection 2014.

2.

A vessel segmentation method for multi-modality angiographic images based on multi-scale filtering and statistical models.

Lu P, Xia J, Li Z, Xiong J, Yang J, Zhou S, Wang L, Chen M, Wang C.

Biomed Eng Online. 2016 Nov 8;15(1):120.

3.

Robust generative asymmetric GMM for brain MR image segmentation.

Ji Z, Xia Y, Zheng Y.

Comput Methods Programs Biomed. 2017 Nov;151:123-138. doi: 10.1016/j.cmpb.2017.08.017. Epub 2017 Aug 24.

PMID:
28946994
4.

Hierarchical level features based trainable segmentation for electron microscopy images.

Wang S, Cao G, Wei B, Yin Y, Yang G, Li C.

Biomed Eng Online. 2013 Jun 28;12:59. doi: 10.1186/1475-925X-12-59.

5.

Optimizing boundary detection via Simulated Search with applications to multi-modal heart segmentation.

Peters J, Ecabert O, Meyer C, Kneser R, Weese J.

Med Image Anal. 2010 Feb;14(1):70-84. doi: 10.1016/j.media.2009.10.004. Epub 2009 Oct 22.

PMID:
19931481
6.

Intensity inhomogeneity correction for the breast sonogram: constrained fuzzy cell-based bipartitioning and polynomial surface modeling.

Lee CY, Chou YH, Huang CS, Chang YC, Tiu CM, Chen CM.

Med Phys. 2010 Nov;37(11):5645-54.

PMID:
21158276
7.

A fast and fully automatic method for cerebrovascular segmentation on time-of-flight (TOF) MRA image.

Gao X, Uchiyama Y, Zhou X, Hara T, Asano T, Fujita H.

J Digit Imaging. 2011 Aug;24(4):609-25. doi: 10.1007/s10278-010-9326-1.

8.

Learning likelihoods for labeling (L3): a general multi-classifier segmentation algorithm.

Weisenfeld NI, Warfield SK.

Med Image Comput Comput Assist Interv. 2011;14(Pt 3):322-9.

9.

Robust whole-brain segmentation: application to traumatic brain injury.

Ledig C, Heckemann RA, Hammers A, Lopez JC, Newcombe VF, Makropoulos A, Lötjönen J, Menon DK, Rueckert D.

Med Image Anal. 2015 Apr;21(1):40-58. doi: 10.1016/j.media.2014.12.003. Epub 2014 Dec 24.

10.

Automated chest wall line detection for whole-breast segmentation in sagittal breast MR images.

Wu S, Weinstein SP, Conant EF, Schnall MD, Kontos D.

Med Phys. 2013 Apr;40(4):042301. doi: 10.1118/1.4793255.

11.

Estimation of the prior distribution of ground truth in the STAPLE algorithm: an empirical Bayesian approach.

Akhondi-Asl A, Warfield SK.

Med Image Comput Comput Assist Interv. 2012;15(Pt 1):593-600.

12.

Learning context cues for synapse segmentation in EM volumes.

Becker C, Ali K, Knott G, Fua P.

Med Image Comput Comput Assist Interv. 2012;15(Pt 1):585-92.

PMID:
23285599
13.

Segmentation of abdomen MR images using kernel graph cuts with shape priors.

Luo Q, Qin W, Wen T, Gu J, Gaio N, Chen S, Li L, Xie Y.

Biomed Eng Online. 2013 Dec 3;12:124. doi: 10.1186/1475-925X-12-124.

14.

Image segmentation by EM-based adaptive pulse coupled neural networks in brain magnetic resonance imaging.

Fu JC, Chen CC, Chai JW, Wong ST, Li IC.

Comput Med Imaging Graph. 2010 Jun;34(4):308-20. doi: 10.1016/j.compmedimag.2009.12.002. Epub 2009 Dec 29.

PMID:
20042313
15.

An efficient conditional random field approach for automatic and interactive neuron segmentation.

Uzunbas MG, Chen C, Metaxas D.

Med Image Anal. 2016 Jan;27:31-44. doi: 10.1016/j.media.2015.06.003. Epub 2015 Jul 8.

PMID:
26210001
16.
17.

A label fusion method using conditional random fields with higher-order potentials: Application to hippocampal segmentation.

Platero C, Carmen Tobar M.

Artif Intell Med. 2015 Jun;64(2):117-29. doi: 10.1016/j.artmed.2015.04.005. Epub 2015 May 4.

PMID:
25982908
18.

Hybrid genetic and variational expectation-maximization algorithm for gaussian-mixture-model-based brain MR image segmentation.

Tian G, Xia Y, Zhang Y, Feng D.

IEEE Trans Inf Technol Biomed. 2011 May;15(3):373-80. doi: 10.1109/TITB.2011.2106135. Epub 2011 Jan 13.

PMID:
21233052
19.

Supervised variational model with statistical inference and its application in medical image segmentation.

Li C, Wang X, Eberl S, Fulham M, Yin Y, Dagan Feng D.

IEEE Trans Biomed Eng. 2015 Jan;62(1):196-207. doi: 10.1109/TBME.2014.2344660. Epub 2014 Jul 31.

PMID:
25099393
20.

Supervoxel-based segmentation of mitochondria in em image stacks with learned shape features.

Lucchi A, Smith K, Achanta R, Knott G, Fua P.

IEEE Trans Med Imaging. 2012 Feb;31(2):474-86. doi: 10.1109/TMI.2011.2171705. Epub 2011 Oct 13.

PMID:
21997252

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