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 *

406 related articles for article (PubMed ID: 27832957)

  • 21. Correction of low-frequency physiological noise from the resting state BOLD fMRI--Effect on ICA default mode analysis at 1.5 T.
    Starck T; Remes J; Nikkinen J; Tervonen O; Kiviniemi V
    J Neurosci Methods; 2010 Feb; 186(2):179-85. PubMed ID: 19941896
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN.
    Valevicius D; Beck N; Kasper L; Boroday S; Bayer J; Rioux P; Caron B; Adalat R; Evans AC; Khalili-Mahani N
    Front Neuroinform; 2023; 17():1251023. PubMed ID: 37841811
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Physiological noise in human cerebellar fMRI.
    van der Zwaag W; Jorge J; Butticaz D; Gruetter R
    MAGMA; 2015 Oct; 28(5):485-92. PubMed ID: 25894812
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Effects of model-based physiological noise correction on default mode network anti-correlations and correlations.
    Chang C; Glover GH
    Neuroimage; 2009 Oct; 47(4):1448-59. PubMed ID: 19446646
    [TBL] [Abstract][Full Text] [Related]  

  • 25. PHYCAA: data-driven measurement and removal of physiological noise in BOLD fMRI.
    Churchill NW; Yourganov G; Spring R; Rasmussen PM; Lee W; Ween JE; Strother SC
    Neuroimage; 2012 Jan; 59(2):1299-314. PubMed ID: 21871573
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising.
    Heo KS; Shin DH; Hung SC; Lin W; Zhang H; Shen D; Kam TE
    Neuroimage; 2022 Jul; 254():119127. PubMed ID: 35337965
    [TBL] [Abstract][Full Text] [Related]  

  • 27. The impact of real-time fMRI denoising on online evaluation of brain activity and functional connectivity.
    Misaki M; Bodurka J
    J Neural Eng; 2021 Jul; 18(4):. PubMed ID: 34126595
    [No Abstract]   [Full Text] [Related]  

  • 28. Subject specific BOLD fMRI respiratory and cardiac response functions obtained from global signal.
    Falahpour M; Refai H; Bodurka J
    Neuroimage; 2013 May; 72():252-64. PubMed ID: 23376493
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Modular preprocessing pipelines can reintroduce artifacts into fMRI data.
    Lindquist MA; Geuter S; Wager TD; Caffo BS
    Hum Brain Mapp; 2019 Jun; 40(8):2358-2376. PubMed ID: 30666750
    [TBL] [Abstract][Full Text] [Related]  

  • 30. iELVis: An open source MATLAB toolbox for localizing and visualizing human intracranial electrode data.
    Groppe DM; Bickel S; Dykstra AR; Wang X; Mégevand P; Mercier MR; Lado FA; Mehta AD; Honey CJ
    J Neurosci Methods; 2017 Apr; 281():40-48. PubMed ID: 28192130
    [TBL] [Abstract][Full Text] [Related]  

  • 31. fMRI artefact rejection and sleep scoring toolbox.
    Leclercq Y; Schrouff J; Noirhomme Q; Maquet P; Phillips C
    Comput Intell Neurosci; 2011; 2011():598206. PubMed ID: 21461381
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Optimizing preprocessing and analysis pipelines for single-subject fMRI: 2. Interactions with ICA, PCA, task contrast and inter-subject heterogeneity.
    Churchill NW; Yourganov G; Oder A; Tam F; Graham SJ; Strother SC
    PLoS One; 2012; 7(2):e31147. PubMed ID: 22383999
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Automagic: Standardized preprocessing of big EEG data.
    Pedroni A; Bahreini A; Langer N
    Neuroimage; 2019 Oct; 200():460-473. PubMed ID: 31233907
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Modeling state-related fMRI activity using change-point theory.
    Lindquist MA; Waugh C; Wager TD
    Neuroimage; 2007 Apr; 35(3):1125-41. PubMed ID: 17360198
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A Novel Framework for Motion-Tolerant Instantaneous Heart Rate Estimation by Phase-Domain Multiview Dynamic Time Warping.
    Zhang Q; Zhou D; Zeng X
    IEEE Trans Biomed Eng; 2017 Nov; 64(11):2562-2574. PubMed ID: 28113198
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR.
    Glover GH; Li TQ; Ress D
    Magn Reson Med; 2000 Jul; 44(1):162-7. PubMed ID: 10893535
    [TBL] [Abstract][Full Text] [Related]  

  • 37. fMRIflows: A Consortium of Fully Automatic Univariate and Multivariate fMRI Processing Pipelines.
    Notter MP; Herholz P; Da Costa S; Gulban OF; Isik AI; Gaglianese A; Murray MM
    Brain Topogr; 2023 Mar; 36(2):172-191. PubMed ID: 36575327
    [TBL] [Abstract][Full Text] [Related]  

  • 38. RR-APET - Heart rate variability analysis software.
    McConnell M; Schwerin B; So S; Richards B
    Comput Methods Programs Biomed; 2020 Mar; 185():105127. PubMed ID: 31648100
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Reconstruction of respiratory variation signals from fMRI data.
    Salas JA; Bayrak RG; Huo Y; Chang C
    Neuroimage; 2021 Jan; 225():117459. PubMed ID: 33129927
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Comparison of fMRI motion correction software tools.
    Oakes TR; Johnstone T; Ores Walsh KS; Greischar LL; Alexander AL; Fox AS; Davidson RJ
    Neuroimage; 2005 Nov; 28(3):529-43. PubMed ID: 16099178
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 21.