261 related articles for article (PubMed ID: 16532771)
1. An integrated neighborhood correlation and hierarchical clustering approach of functional MRI.
Chen H; Yuan H; Yao D; Chen L; Chen W
IEEE Trans Biomed Eng; 2006 Mar; 53(3):452-8. PubMed ID: 16532771
[TBL] [Abstract][Full Text] [Related]
2. Analysis of fMRI data using improved self-organizing mapping and spatio-temporal metric hierarchical clustering.
Liao W; Chen H; Yang Q; Lei X
IEEE Trans Med Imaging; 2008 Oct; 27(10):1472-83. PubMed ID: 18815099
[TBL] [Abstract][Full Text] [Related]
3. Delay correlation subspace decomposition algorithm and its application in fMRI.
Chen H; Yao D; Chen W; Chen L
IEEE Trans Med Imaging; 2005 Dec; 24(12):1647-51. PubMed ID: 16350921
[TBL] [Abstract][Full Text] [Related]
4. Surface-based functional magnetic resonance imaging analysis of partial brain echo planar imaging data at 1.5 T.
Jo HJ; Lee JM; Kim JH; Choi CH; Kang DH; Kwon JS; Kim SI
Magn Reson Imaging; 2009 Jun; 27(5):691-700. PubMed ID: 19036544
[TBL] [Abstract][Full Text] [Related]
5. Analysis of FMRI data using an integrated principal component analysis and supervised affinity propagation clustering approach.
Zhang J; Tuo X; Yuan Z; Liao W; Chen H
IEEE Trans Biomed Eng; 2011 Nov; 58(11):3184-96. PubMed ID: 21859596
[TBL] [Abstract][Full Text] [Related]
6. Improved temporal clustering analysis method applied to whole-brain data in acupuncture fMRI study.
Lu N; Shan BC; Xu JY; Wang W; Li KC
Magn Reson Imaging; 2007 Oct; 25(8):1190-5. PubMed ID: 17451902
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals.
Yoshioka T; Toyama K; Kawato M; Yamashita O; Nishina S; Yamagishi N; Sato MA
Neuroimage; 2008 Oct; 42(4):1397-413. PubMed ID: 18620066
[TBL] [Abstract][Full Text] [Related]
8. Analysis of event-related fMRI data using best clustering bases.
Meyer FG; Chinrungrueng J
IEEE Trans Med Imaging; 2003 Aug; 22(8):933-9. PubMed ID: 12906247
[TBL] [Abstract][Full Text] [Related]
9. Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis.
Sato JR; Fujita A; Cardoso EF; Thomaz CE; Brammer MJ; Amaro E
Neuroimage; 2010 Oct; 52(4):1444-55. PubMed ID: 20472076
[TBL] [Abstract][Full Text] [Related]
10. Using replicator dynamics for analyzing fMRI data of the human brain.
Lohmann G; Bohn S
IEEE Trans Med Imaging; 2002 May; 21(5):485-92. PubMed ID: 12071619
[TBL] [Abstract][Full Text] [Related]
11. Model-free functional MRI analysis based on unsupervised clustering.
Wismüller A; Meyer-Bäse A; Lange O; Auer D; Reiser MF; Sumners D
J Biomed Inform; 2004 Feb; 37(1):10-8. PubMed ID: 15016382
[TBL] [Abstract][Full Text] [Related]
12. Neural networks approach to clustering of activity in fMRI data.
Voultsidou M; Dodel S; Herrmann JM
IEEE Trans Med Imaging; 2005 Aug; 24(8):987-96. PubMed ID: 16092331
[TBL] [Abstract][Full Text] [Related]
13. Mixtures of general linear models for functional neuroimaging.
Penny W; Friston K
IEEE Trans Med Imaging; 2003 Apr; 22(4):504-14. PubMed ID: 12774896
[TBL] [Abstract][Full Text] [Related]
14. Activation detection in fMRI using a maximum energy ratio statistic obtained by adaptive spatial filtering.
Hossein-Zadeh GA; Ardekani BA; Soltanian-Zadeh H
IEEE Trans Med Imaging; 2003 Jul; 22(7):795-805. PubMed ID: 12906234
[TBL] [Abstract][Full Text] [Related]
15. Rapid three-dimensional functional magnetic resonance imaging of the initial negative BOLD response.
Lindquist MA; Zhang CH; Glover G; Shepp L
J Magn Reson; 2008 Mar; 191(1):100-11. PubMed ID: 18207441
[TBL] [Abstract][Full Text] [Related]
16. Classification of fMRI time series in a low-dimensional subspace with a spatial prior.
Meyer FG; Shen X
IEEE Trans Med Imaging; 2008 Jan; 27(1):87-98. PubMed ID: 18270065
[TBL] [Abstract][Full Text] [Related]
17. Model-independent method for fMRI analysis.
Soltanian-Zadeh H; Peck DJ; Hearshen DO; Lajiness-O'Neill RR
IEEE Trans Med Imaging; 2004 Mar; 23(3):285-96. PubMed ID: 15027521
[TBL] [Abstract][Full Text] [Related]
18. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.
De Martino F; Valente G; Staeren N; Ashburner J; Goebel R; Formisano E
Neuroimage; 2008 Oct; 43(1):44-58. PubMed ID: 18672070
[TBL] [Abstract][Full Text] [Related]
19. The spatial and temporal characteristics of the apparent-diffusion-coefficient-dependent fMRI signal changes during visual stimulation.
Song AW; Gangstead SL
J Neural Eng; 2004 Mar; 1(1):32-8. PubMed ID: 15876620
[TBL] [Abstract][Full Text] [Related]
20. Distributed analysis of simultaneous EEG-fMRI time-series: modeling and interpretation issues.
Esposito F; Aragri A; Piccoli T; Tedeschi G; Goebel R; Di Salle F
Magn Reson Imaging; 2009 Oct; 27(8):1120-30. PubMed ID: 19261423
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
