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 *

165 related articles for article (PubMed ID: 33447655)

  • 1. Graphical interface for automated management of motion artifact within fMRI acquisitions: INFOBAR.
    Anand M; Diekfuss JA; Slutsky-Ganesh AB; Bonnette S; Grooms DR; Myer GD
    SoftwareX; 2020; 12():. PubMed ID: 33447655
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI.
    Pruim RHR; Mennes M; Buitelaar JK; Beckmann CF
    Neuroimage; 2015 May; 112():278-287. PubMed ID: 25770990
    [TBL] [Abstract][Full Text] [Related]  

  • 3. ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data.
    Pruim RHR; Mennes M; van Rooij D; Llera A; Buitelaar JK; Beckmann CF
    Neuroimage; 2015 May; 112():267-277. PubMed ID: 25770991
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The optimized combination of aCompCor and ICA-AROMA to reduce motion and physiologic noise in task fMRI data.
    Van Schuerbeek P; De Wandel L; Baeken C
    Biomed Phys Eng Express; 2022 Jul; 8(5):. PubMed ID: 35378526
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Impact of automated ICA-based denoising of fMRI data in acute stroke patients.
    Carone D; Licenik R; Suri S; Griffanti L; Filippini N; Kennedy J
    Neuroimage Clin; 2017; 16():23-31. PubMed ID: 28736698
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparing the efficacy of data-driven denoising methods for a multi-echo fMRI acquisition at 7T.
    Beckers AB; Drenthen GS; Jansen JFA; Backes WH; Poser BA; Keszthelyi D
    Neuroimage; 2023 Oct; 280():120361. PubMed ID: 37669723
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparing resting state fMRI de-noising approaches using multi- and single-echo acquisitions.
    Dipasquale O; Sethi A; Laganà MM; Baglio F; Baselli G; Kundu P; Harrison NA; Cercignani M
    PLoS One; 2017; 12(3):e0173289. PubMed ID: 28323821
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An automated method for identifying artifact in independent component analysis of resting-state FMRI.
    Bhaganagarapu K; Jackson GD; Abbott DF
    Front Hum Neurosci; 2013; 7():343. PubMed ID: 23847511
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic EEG-assisted retrospective motion correction for fMRI (aE-REMCOR).
    Wong CK; Zotev V; Misaki M; Phillips R; Luo Q; Bodurka J
    Neuroimage; 2016 Apr; 129():133-147. PubMed ID: 26826516
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Robust Correlation for Link Definition in Resting-State fMRI Brain Networks Can Reduce Motion-Related Artifacts.
    Burkhardt M; Thiel CM; Gießing C
    Brain Connect; 2022 Feb; 12(1):18-25. PubMed ID: 34269612
    [No Abstract]   [Full Text] [Related]  

  • 11. Artifact removal in the context of group ICA: A comparison of single-subject and group approaches.
    Du Y; Allen EA; He H; Sui J; Wu L; Calhoun VD
    Hum Brain Mapp; 2016 Mar; 37(3):1005-25. PubMed ID: 26859308
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A method to mitigate spatio-temporally varying task-correlated motion artifacts from overt-speech fMRI paradigms in aphasia.
    Krishnamurthy V; Krishnamurthy LC; Meadows ML; Gale MK; Ji B; Gopinath K; Crosson B
    Hum Brain Mapp; 2021 Mar; 42(4):1116-1129. PubMed ID: 33210749
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Independent Component Analysis with Functional Neuroscience Data Analysis.
    Aljobouri HK
    J Biomed Phys Eng; 2023 Apr; 13(2):169-180. PubMed ID: 37082550
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.
    Salimi-Khorshidi G; Douaud G; Beckmann CF; Glasser MF; Griffanti L; Smith SM
    Neuroimage; 2014 Apr; 90():449-68. PubMed ID: 24389422
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Real-time EEG artifact correction during fMRI using ICA.
    Mayeli A; Zotev V; Refai H; Bodurka J
    J Neurosci Methods; 2016 Dec; 274():27-37. PubMed ID: 27697458
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Brain functional networks extraction based on fMRI artifact removal: Single subject and group approaches.
    Du Y; Allen EA; He H; Sui J; Calhoun VD
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():1026-9. PubMed ID: 25570136
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Motion and Muscle Artifact Removal Validation Using an Electrical Head Phantom, Robotic Motion Platform, and Dual Layer Mobile EEG.
    Richer N; Downey RJ; Hairston WD; Ferris DP; Nordin AD
    IEEE Trans Neural Syst Rehabil Eng; 2020 Aug; 28(8):1825-1835. PubMed ID: 32746290
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Denoising task-correlated head motion from motor-task fMRI data with multi-echo ICA.
    Reddy NA; Zvolanek KM; Moia S; Caballero-Gaudes C; Bright MG
    bioRxiv; 2023 Nov; ():. PubMed ID: 37503125
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI.
    Parkes L; Fulcher B; Yücel M; Fornito A
    Neuroimage; 2018 May; 171():415-436. PubMed ID: 29278773
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Denoising task-related fMRI: Balancing noise reduction against signal loss.
    Hoeppli ME; Garenfeld MA; Mortensen CK; Nahman-Averbuch H; King CD; Coghill RC
    Hum Brain Mapp; 2023 Dec; 44(17):5523-5546. PubMed ID: 37753711
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.