2572 related articles for article (PubMed ID: 31443856)
1. Group-representative functional network estimation from multi-subject fMRI data via MRF-based image segmentation.
Tang B; Iyer A; Rao V; Kong N
Comput Methods Programs Biomed; 2019 Oct; 179():104976. PubMed ID: 31443856
[TBL] [Abstract][Full Text] [Related]
2. A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field.
Chen M; Yan Q; Qin M
Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):200-211. PubMed ID: 29072503
[TBL] [Abstract][Full Text] [Related]
3. Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach.
Awate SP; Garg S; Jena R
Med Image Anal; 2019 Jul; 55():181-196. PubMed ID: 31085445
[TBL] [Abstract][Full Text] [Related]
4. Bayesian approach to segmentation of statistical parametric maps.
Rajapakse JC; Piyaratna J
IEEE Trans Biomed Eng; 2001 Oct; 48(10):1186-94. PubMed ID: 11585043
[TBL] [Abstract][Full Text] [Related]
5. Predicting individual brain functional connectivity using a Bayesian hierarchical model.
Dai T; Guo Y;
Neuroimage; 2017 Feb; 147():772-787. PubMed ID: 27915121
[TBL] [Abstract][Full Text] [Related]
6. Let's Not Waste Time: Using Temporal Information in Clustered Activity Estimation with Spatial Adjacency Restrictions (CAESAR) for Parcellating FMRI Data.
Janssen RJ; Jylänki P; van Gerven MA
PLoS One; 2016; 11(12):e0164703. PubMed ID: 27935937
[TBL] [Abstract][Full Text] [Related]
7. Variational Bayesian inversion for hierarchical unsupervised generative embedding (HUGE).
Yao Y; Raman SS; Schiek M; Leff A; Frässle S; Stephan KE
Neuroimage; 2018 Oct; 179():604-619. PubMed ID: 29964187
[TBL] [Abstract][Full Text] [Related]
8. Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.
Deng M; Yu R; Wang L; Shi F; Yap PT; Shen D;
Med Phys; 2016 Dec; 43(12):6588-6597. PubMed ID: 28054724
[TBL] [Abstract][Full Text] [Related]
9. Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators.
Mejia AF; Nebel MB; Shou H; Crainiceanu CM; Pekar JJ; Mostofsky S; Caffo B; Lindquist MA
Neuroimage; 2015 May; 112():14-29. PubMed ID: 25731998
[TBL] [Abstract][Full Text] [Related]
10. A functional network estimation method of resting-state fMRI using a hierarchical Markov random field.
Liu W; Awate SP; Anderson JS; Fletcher PT
Neuroimage; 2014 Oct; 100():520-34. PubMed ID: 24954282
[TBL] [Abstract][Full Text] [Related]
11. Spatial regularization of functional connectivity using high-dimensional Markov random fields.
Liu W; Zhu P; Anderson JS; Yurgelun-Todd D; Fletcher PT
Med Image Comput Comput Assist Interv; 2010; 13(Pt 2):363-70. PubMed ID: 20879336
[TBL] [Abstract][Full Text] [Related]
12. Comparing variational Bayes with Markov chain Monte Carlo for Bayesian computation in neuroimaging.
Nathoo FS; Lesperance ML; Lawson AB; Dean CB
Stat Methods Med Res; 2013 Aug; 22(4):398-423. PubMed ID: 22642986
[TBL] [Abstract][Full Text] [Related]
13. 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; 15(1):120. PubMed ID: 27825346
[TBL] [Abstract][Full Text] [Related]
14. Probabilistic framework for brain connectivity from functional MR images.
Rajapakse JC; Wang Y; Zheng X; Zhou J
IEEE Trans Med Imaging; 2008 Jun; 27(6):825-33. PubMed ID: 18541489
[TBL] [Abstract][Full Text] [Related]
15. Generative Bayesian image super resolution with natural image prior.
Zhang H; Zhang Y; Li H; Huang TS
IEEE Trans Image Process; 2012 Sep; 21(9):4054-67. PubMed ID: 22614649
[TBL] [Abstract][Full Text] [Related]
16. Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.
Avesani P; Hazan H; Koilis E; Manevitz LM; Sona D
Neural Netw; 2015 Oct; 70():61-73. PubMed ID: 26218350
[TBL] [Abstract][Full Text] [Related]
17. Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system and approximation of regularization coefficient.
Zhou S; Chen W; Jia F; Hu Q; Xie Y; Chen M; Wu J
Med Image Anal; 2013 Dec; 17(8):1220-35. PubMed ID: 24077483
[TBL] [Abstract][Full Text] [Related]
18. Superresolution with compound Markov random fields via the variational EM algorithm.
Kanemura A; Maeda S; Ishii S
Neural Netw; 2009 Sep; 22(7):1025-34. PubMed ID: 19157777
[TBL] [Abstract][Full Text] [Related]
19. Independent vector analysis (IVA): multivariate approach for fMRI group study.
Lee JH; Lee TW; Jolesz FA; Yoo SS
Neuroimage; 2008 Mar; 40(1):86-109. PubMed ID: 18165105
[TBL] [Abstract][Full Text] [Related]
20. Bayesian spatiotemporal model of fMRI data.
Quirós A; Diez RM; Gamerman D
Neuroimage; 2010 Jan; 49(1):442-56. PubMed ID: 19646535
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]