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 *

184 related articles for article (PubMed ID: 26272728)

  • 1. Relevant feature set estimation with a knock-out strategy and random forests.
    Ganz M; Greve DN; Fischl B; Konukoglu E;
    Neuroimage; 2015 Nov; 122():131-48. PubMed ID: 26272728
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sparse regularization techniques provide novel insights into outcome integration processes.
    Mohr H; Wolfensteller U; Frimmel S; Ruge H
    Neuroimage; 2015 Jan; 104():163-76. PubMed ID: 25467302
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Statistical inference and multiple testing correction in classification-based multi-voxel pattern analysis (MVPA): random permutations and cluster size control.
    Stelzer J; Chen Y; Turner R
    Neuroimage; 2013 Jan; 65():69-82. PubMed ID: 23041526
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease.
    Chincarini A; Bosco P; Calvini P; Gemme G; Esposito M; Olivieri C; Rei L; Squarcia S; Rodriguez G; Bellotti R; Cerello P; De Mitri I; Retico A; Nobili F;
    Neuroimage; 2011 Sep; 58(2):469-80. PubMed ID: 21718788
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computation of the mid-sagittal plane in 3-D brain images.
    Prima S; Ourselin S; Ayache N
    IEEE Trans Med Imaging; 2002 Feb; 21(2):122-38. PubMed ID: 11929100
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analyses of regional-average activation and multivoxel pattern information tell complementary stories.
    Jimura K; Poldrack RA
    Neuropsychologia; 2012 Mar; 50(4):544-52. PubMed ID: 22100534
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. What's in a pattern? Examining the type of signal multivariate analysis uncovers at the group level.
    Gilron R; Rosenblatt J; Koyejo O; Poldrack RA; Mukamel R
    Neuroimage; 2017 Feb; 146():113-120. PubMed ID: 27851996
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The effect of feature selection on multivariate pattern analysis of structural brain MR images.
    Demirhan A
    Phys Med; 2018 Mar; 47():103-111. PubMed ID: 29609811
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Penalized likelihood phenotyping: unifying voxelwise analyses and multi-voxel pattern analyses in neuroimaging: penalized likelihood phenotyping.
    Adluru N; Hanlon BM; Lutz A; Lainhart JE; Alexander AL; Davidson RJ
    Neuroinformatics; 2013 Apr; 11(2):227-47. PubMed ID: 23397550
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty.
    Eickhoff SB; Laird AR; Grefkes C; Wang LE; Zilles K; Fox PT
    Hum Brain Mapp; 2009 Sep; 30(9):2907-26. PubMed ID: 19172646
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Nonlocal atlas-guided multi-channel forest learning for human brain labeling.
    Ma G; Gao Y; Wu G; Wu L; Shen D
    Med Phys; 2016 Feb; 43(2):1003-19. PubMed ID: 26843260
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Compressive sensing via nonlocal low-rank regularization.
    Dong W; Shi G; Li X; Ma Y; Huang F
    IEEE Trans Image Process; 2014 Aug; 23(8):3618-32. PubMed ID: 24951688
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Voxel selection in FMRI data analysis based on sparse representation.
    Li Y; Namburi P; Yu Z; Guan C; Feng J; Gu Z
    IEEE Trans Biomed Eng; 2009 Oct; 56(10):2439-51. PubMed ID: 19567340
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying neuroanatomical signatures of anorexia nervosa: a multivariate machine learning approach.
    Lavagnino L; Amianto F; Mwangi B; D'Agata F; Spalatro A; Zunta-Soares GB; Abbate Daga G; Mortara P; Fassino S; Soares JC
    Psychol Med; 2015 Oct; 45(13):2805-12. PubMed ID: 25990697
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Diurnal fluctuations in brain volume: Statistical analyses of MRI from large populations.
    Nakamura K; Brown RA; Narayanan S; Collins DL; Arnold DL;
    Neuroimage; 2015 Sep; 118():126-32. PubMed ID: 26049148
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Relevance Voxel Machine (RVoxM): a Bayesian method for image-based prediction.
    Sabuncu MR; Van Leemput K
    Med Image Comput Comput Assist Interv; 2011; 14(Pt 3):99-106. PubMed ID: 22003689
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Confounds in multivariate pattern analysis: Theory and rule representation case study.
    Todd MT; Nystrom LE; Cohen JD
    Neuroimage; 2013 Aug; 77():157-65. PubMed ID: 23558095
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Impact of the resolution of brain parcels on connectome-wide association studies in fMRI.
    Bellec P; Benhajali Y; Carbonell F; Dansereau C; Albouy G; Pelland M; Craddock C; Collignon O; Doyon J; Stip E; Orban P
    Neuroimage; 2015 Dec; 123():212-28. PubMed ID: 26241681
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.