These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

189 related articles for article (PubMed ID: 27469315)

  • 1. Temporal-spatial mean-shift clustering analysis to improve functional MRI activation detection.
    Ai L; Xiong J
    Magn Reson Imaging; 2016 Nov; 34(9):1283-1291. PubMed ID: 27469315
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of mean-shift clustering to blood oxygen level dependent functional MRI activation detection.
    Ai L; Gao X; Xiong J
    BMC Med Imaging; 2014 Feb; 14():6. PubMed ID: 24495795
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A family of locally constrained CCA models for detecting activation patterns in fMRI.
    Zhuang X; Yang Z; Curran T; Byrd R; Nandy R; Cordes D
    Neuroimage; 2017 Apr; 149():63-84. PubMed ID: 28041980
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 7T-fMRI: Faster temporal resolution yields optimal BOLD sensitivity for functional network imaging specifically at high spatial resolution.
    Yoo PE; John SE; Farquharson S; Cleary JO; Wong YT; Ng A; Mulcahy CB; Grayden DB; Ordidge RJ; Opie NL; O'Brien TJ; Oxley TJ; Moffat BA
    Neuroimage; 2018 Jan; 164():214-229. PubMed ID: 28286317
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Exploitation of temporal redundancy in compressed sensing reconstruction of fMRI studies with a prior-based algorithm (PICCS).
    Chavarrías C; Abascal JF; Montesinos P; Desco M
    Med Phys; 2015 Jul; 42(7):3814-21. PubMed ID: 26133583
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multivariate group-level analysis for task fMRI data with canonical correlation analysis.
    Zhuang X; Yang Z; Sreenivasan KR; Mishra VR; Curran T; Nandy R; Cordes D
    Neuroimage; 2019 Jul; 194():25-41. PubMed ID: 30894332
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Simultaneous EEG-fMRI: trial level spatio-temporal fusion for hierarchically reliable information discovery.
    Dong L; Gong D; Valdes-Sosa PA; Xia Y; Luo C; Xu P; Yao D
    Neuroimage; 2014 Oct; 99():28-41. PubMed ID: 24852457
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation and optimization of fMRI single-subject processing pipelines with NPAIRS and second-level CVA.
    Zhang J; Anderson JR; Liang L; Pulapura SK; Gatewood L; Rottenberg DA; Strother SC
    Magn Reson Imaging; 2009 Feb; 27(2):264-78. PubMed ID: 18849131
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Optimization of functional MRI for detection, decoding and high-resolution imaging of the response patterns of cortical columns.
    Chaimow D; Uğurbil K; Shmuel A
    Neuroimage; 2018 Jan; 164():67-99. PubMed ID: 28461061
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of BOLD, diffusion-weighted fMRI and ADC-fMRI for stimulation of the primary visual system with a block paradigm.
    Nicolas R; Gros-Dagnac H; Aubry F; Celsis P
    Magn Reson Imaging; 2017 Jun; 39():123-131. PubMed ID: 28163122
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ant Colony Clustering for ROI Identification in Functional Magnetic Resonance Imaging.
    Veloz A; Weinstein A; Pszczolkowski S; Hernández-García L; Olivares R; Muñoz R; Taramasco C
    Comput Intell Neurosci; 2019; 2019():5259643. PubMed ID: 32082371
    [TBL] [Abstract][Full Text] [Related]  

  • 14. To smooth or not to smooth? ROC analysis of perfusion fMRI data.
    Wang J; Wang Z; Aguirre GK; Detre JA
    Magn Reson Imaging; 2005 Jan; 23(1):75-81. PubMed ID: 15733791
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Spatial independent component analysis of functional MRI time-series: to what extent do results depend on the algorithm used?
    Esposito F; Formisano E; Seifritz E; Goebel R; Morrone R; Tedeschi G; Di Salle F
    Hum Brain Mapp; 2002 Jul; 16(3):146-57. PubMed ID: 12112768
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Iterative approach of dual regression with a sparse prior enhances the performance of independent component analysis for group functional magnetic resonance imaging (fMRI) data.
    Kim YH; Kim J; Lee JH
    Neuroimage; 2012 Dec; 63(4):1864-89. PubMed ID: 22939873
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Feature-space clustering for fMRI meta-analysis.
    Goutte C; Hansen LK; Liptrot MG; Rostrup E
    Hum Brain Mapp; 2001 Jul; 13(3):165-83. PubMed ID: 11376501
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Feature-space-based FMRI analysis using the optimal linear transformation.
    Sun F; Morris D; Lee W; Taylor MJ; Mills T; Babyn PS
    IEEE Trans Inf Technol Biomed; 2010 Sep; 14(5):1279-90. PubMed ID: 20813627
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improved FastICA algorithm in fMRI data analysis using the sparsity property of the sources.
    Ge R; Wang Y; Zhang J; Yao L; Zhang H; Long Z
    J Neurosci Methods; 2016 Apr; 263():103-14. PubMed ID: 26880161
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using High Spatial Resolution to Improve BOLD fMRI Detection at 3T.
    Iranpour J; Morrot G; Claise B; Jean B; Bonny JM
    PLoS One; 2015; 10(11):e0141358. PubMed ID: 26550990
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.