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 *

131 related articles for article (PubMed ID: 30184306)

  • 1. Regularized aggregation of statistical parametric maps.
    Wang LY; Chung J; Park C; Choi H; Rodrigue AL; Pierce JE; Clementz BA; McDowell JE
    Hum Brain Mapp; 2019 Jan; 40(1):65-79. PubMed ID: 30184306
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MIDAS: Regionally linear multivariate discriminative statistical mapping.
    Varol E; Sotiras A; Davatzikos C
    Neuroimage; 2018 Jul; 174():111-126. PubMed ID: 29524624
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Cluster-level statistical inference in fMRI datasets: The unexpected behavior of random fields in high dimensions.
    Bansal R; Peterson BS
    Magn Reson Imaging; 2018 Jun; 49():101-115. PubMed ID: 29408478
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hidden Markov event sequence models: toward unsupervised functional MRI brain mapping.
    Faisan S; Thoraval L; Armspach JP; Foucher JR; Metz-Lutz MN; Heitz F
    Acad Radiol; 2005 Jan; 12(1):25-36. PubMed ID: 15691723
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The bootstrap and cross-validation in neuroimaging applications: estimation of the distribution of extrema of random fields for single volume tests, with an application to ADC maps.
    Viviani R; Beschoner P; Jaeckle T; Hipp P; Kassubek J; Schmitz B
    Hum Brain Mapp; 2007 Oct; 28(10):1075-88. PubMed ID: 17266105
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Enhancing reproducibility of fMRI statistical maps using generalized canonical correlation analysis in NPAIRS framework.
    Afshin-Pour B; Hossein-Zadeh GA; Strother SC; Soltanian-Zadeh H
    Neuroimage; 2012 May; 60(4):1970-81. PubMed ID: 22366080
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Regularized siamese neural network for unsupervised outlier detection on brain multiparametric magnetic resonance imaging: Application to epilepsy lesion screening.
    Alaverdyan Z; Jung J; Bouet R; Lartizien C
    Med Image Anal; 2020 Feb; 60():101618. PubMed ID: 31841950
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Clustering fMRI data with a robust unsupervised learning algorithm for neuroscience data mining.
    Aljobouri HK; Jaber HA; Koçak OM; Algin O; Çankaya I
    J Neurosci Methods; 2018 Apr; 299():45-54. PubMed ID: 29471065
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Data processing of functional magnetic resonance of brain based on statistical parametric mapping].
    Li W; Wang H
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Apr; 24(2):477-80. PubMed ID: 17591287
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Group analysis and the subject factor in functional magnetic resonance imaging: analysis of fifty right-handed healthy subjects in a semantic language task.
    Seghier ML; Lazeyras F; Pegna AJ; Annoni JM; Khateb A
    Hum Brain Mapp; 2008 Apr; 29(4):461-77. PubMed ID: 17538950
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Reproducibility of importance extraction methods in neural network based fMRI classification.
    Gotsopoulos A; Saarimäki H; Glerean E; Jääskeläinen IP; Sams M; Nummenmaa L; Lampinen J
    Neuroimage; 2018 Nov; 181():44-54. PubMed ID: 29964190
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Euler Elastica Regularized Logistic Regression for Whole-Brain Decoding of fMRI Data.
    Zhang C; Yao L; Song S; Wen X; Zhao X; Long Z
    IEEE Trans Biomed Eng; 2018 Jul; 65(7):1639-1653. PubMed ID: 28952931
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Contrasting functional imaging parametric maps: The mislocation problem and alternative solutions.
    Bourguignon M; Molinaro N; Wens V
    Neuroimage; 2018 Apr; 169():200-211. PubMed ID: 29247806
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The quantitative evaluation of functional neuroimaging experiments: the NPAIRS data analysis framework.
    Strother SC; Anderson J; Hansen LK; Kjems U; Kustra R; Sidtis J; Frutiger S; Muley S; LaConte S; Rottenberg D
    Neuroimage; 2002 Apr; 15(4):747-71. PubMed ID: 11906218
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Assessment of SPM in perfusion brain SPECT studies. A numerical simulation study using bootstrap resampling methods.
    Pareto D; Aguiar P; Pavía J; Gispert JD; Cot A; Falcón C; Benabarre A; Lomeña F; Vieta E; Ros D
    IEEE Trans Biomed Eng; 2008 Jul; 55(7):1849-53. PubMed ID: 18595803
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging.
    Kim HC; Bandettini PA; Lee JH
    Neuroimage; 2019 Feb; 186():607-627. PubMed ID: 30366076
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MACS - a new SPM toolbox for model assessment, comparison and selection.
    Soch J; Allefeld C
    J Neurosci Methods; 2018 Aug; 306():19-31. PubMed ID: 29842901
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estimation of false discovery rates for wavelet-denoised statistical parametric maps.
    Srikanth R; Casanova R; Laurienti PJ; Peiffer AM; Maldjian JA
    Neuroimage; 2006 Oct; 33(1):72-84. PubMed ID: 16919480
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detecting outlying subjects in high-dimensional neuroimaging datasets with regularized minimum covariance determinant.
    Fritsch V; Varoquaux G; Thyreau B; Poline JB; Thirion B
    Med Image Comput Comput Assist Interv; 2011; 14(Pt 3):264-71. PubMed ID: 22003708
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A likelihood ratio approach for functional localization in fMRI.
    Degryse J; Moerkerke B
    J Neurosci Methods; 2020 Jan; 330():108417. PubMed ID: 31628960
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.