130 related articles for article (PubMed ID: 20879311)
1. Spatio-temporal analysis of brain MRI images using hidden Markov models.
Wang Y; Resnick SM; Davatzikos C
Med Image Comput Comput Assist Interv; 2010; 13(Pt 2):160-8. PubMed ID: 20879311
[TBL] [Abstract][Full Text] [Related]
2. Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data.
Faisan S; Thoraval L; Armspach JP; Heitz F
Med Image Anal; 2007 Feb; 11(1):1-20. PubMed ID: 17097334
[TBL] [Abstract][Full Text] [Related]
3. Analysis of spatio-temporal brain imaging patterns by Hidden Markov Models and serial MRI images.
Wang Y; Resnick SM; Davatzikos C; ;
Hum Brain Mapp; 2014 Sep; 35(9):4777-94. PubMed ID: 24706564
[TBL] [Abstract][Full Text] [Related]
4. Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains.
Bricq S; Collet Ch; Armspach JP
Med Image Anal; 2008 Dec; 12(6):639-52. PubMed ID: 18440268
[TBL] [Abstract][Full Text] [Related]
5. Adaptive partial volume classification of MRI data.
Chiverton JP; Wells K
Phys Med Biol; 2008 Oct; 53(20):5577-94. PubMed ID: 18799832
[TBL] [Abstract][Full Text] [Related]
6. Clinical neonatal brain MRI segmentation using adaptive nonparametric data models and intensity-based Markov priors.
Song Z; Awate SP; Licht DJ; Gee JC
Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):883-90. PubMed ID: 18051142
[TBL] [Abstract][Full Text] [Related]
7. Maximum confidence hidden markov modeling for face recognition.
Chien JT; Liao CP
IEEE Trans Pattern Anal Mach Intell; 2008 Apr; 30(4):606-16. PubMed ID: 18276967
[TBL] [Abstract][Full Text] [Related]
8. Hidden conditional random fields.
Quattoni A; Wang S; Morency LP; Collins M; Darrell T
IEEE Trans Pattern Anal Mach Intell; 2007 Oct; 29(10):1848-53. PubMed ID: 17699927
[TBL] [Abstract][Full Text] [Related]
9. Trajectory classification using switched dynamical hidden Markov models.
Nascimento JC; Figueiredo M; Marques JS
IEEE Trans Image Process; 2010 May; 19(5):1338-48. PubMed ID: 20051342
[TBL] [Abstract][Full Text] [Related]
10. Hidden Markov model-based weighted likelihood discriminant for 2-D shape classification.
Thakoor N; Gao J; Jung S
IEEE Trans Image Process; 2007 Nov; 16(11):2707-19. PubMed ID: 17990748
[TBL] [Abstract][Full Text] [Related]
11. A fuzzy region-based hidden markov model for partial-volume classification in brain MRI.
Huang A; Abugharbieh R; Tam R
Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):474-81. PubMed ID: 20426146
[TBL] [Abstract][Full Text] [Related]
12. Spatial-temporal modelling of fMRI data through spatially regularized mixture of hidden process models.
Shen Y; Mayhew SD; Kourtzi Z; Tiňo P
Neuroimage; 2014 Jan; 84():657-71. PubMed ID: 24041873
[TBL] [Abstract][Full Text] [Related]
13. Spatially adaptive mixture modeling for analysis of FMRI time series.
Vincent T; Risser L; Ciuciu P
IEEE Trans Med Imaging; 2010 Apr; 29(4):1059-74. PubMed ID: 20350840
[TBL] [Abstract][Full Text] [Related]
14. Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model.
Cordero-Grande L; Vegas-Sánchez-Ferrero G; Casaseca-de-la-Higuera P; San-Román-Calvar JA; Revilla-Orodea A; Martín-Fernández M; Alberola-López C
Med Image Anal; 2011 Jun; 15(3):283-301. PubMed ID: 21354361
[TBL] [Abstract][Full Text] [Related]
15. Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models.
Faisan S; Thoraval L; Armspach JP; Metz-Lutz MN; Heitz F
IEEE Trans Med Imaging; 2005 Feb; 24(2):263-76. PubMed ID: 15707252
[TBL] [Abstract][Full Text] [Related]
16. Bayesian approach with hidden Markov modeling and mean field approximation for hyperspectral data analysis.
Bali N; Mohammad-Djafari A
IEEE Trans Image Process; 2008 Feb; 17(2):217-25. PubMed ID: 18270113
[TBL] [Abstract][Full Text] [Related]
17. Image segmentation using hidden Markov Gauss mixture models.
Pyun K; Lim J; Won CS; Gray RM
IEEE Trans Image Process; 2007 Jul; 16(7):1902-11. PubMed ID: 17605387
[TBL] [Abstract][Full Text] [Related]
18. Hierarchical probabilistic Gabor and MRF segmentation of brain tumours in MRI volumes.
Subbanna NK; Precup D; Collins DL; Arbel T
Med Image Comput Comput Assist Interv; 2013; 16(Pt 1):751-8. PubMed ID: 24505735
[TBL] [Abstract][Full Text] [Related]
19. Adaptive voxel, texture and temporal conditional random fields for detection of Gad-enhancing multiple sclerosis lesions in brain MRI.
Karimaghaloo Z; Rivaz H; Arnold DL; Collins DL; Arbel T
Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):543-50. PubMed ID: 24505804
[TBL] [Abstract][Full Text] [Related]
20. A computationally efficient approach to the estimation of two- and three-dimensional hidden Markov models.
Joshi D; Li J; Wang JZ
IEEE Trans Image Process; 2006 Jul; 15(7):1871-86. PubMed ID: 16830909
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]