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.
129 related articles for article (PubMed ID: 24511325)
1. Incremental activation detection for real-time fMRI series using robust Kalman filter. Li L; Yan B; Tong L; Wang L; Li J Comput Math Methods Med; 2014; 2014():759805. PubMed ID: 24511325 [TBL] [Abstract][Full Text] [Related]
2. Real-time and Recursive Estimators for Functional MRI Quality Assessment. Davydov N; Peek L; Auer T; Prilepin E; Gninenko N; Van De Ville D; Nikonorov A; Koush Y Neuroinformatics; 2022 Oct; 20(4):897-917. PubMed ID: 35297018 [TBL] [Abstract][Full Text] [Related]
3. Detrend-free hemodynamic data assimilation of two-stage Kalman estimator. Zhenghui H; Pengcheng S Med Image Comput Comput Assist Interv; 2011; 14(Pt 2):242-50. PubMed ID: 21995035 [TBL] [Abstract][Full Text] [Related]
4. No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI. Kopel R; Sladky R; Laub P; Koush Y; Robineau F; Hutton C; Weiskopf N; Vuilleumier P; Van De Ville D; Scharnowski F Neuroimage; 2019 May; 191():421-429. PubMed ID: 30818024 [TBL] [Abstract][Full Text] [Related]
5. Maximum likelihood estimation for second level fMRI data analysis with expectation trust region algorithm. Li X; Coyle D; Maguire L; McGinnity TM Magn Reson Imaging; 2014 Feb; 32(2):132-49. PubMed ID: 24321307 [TBL] [Abstract][Full Text] [Related]
6. Variational solution to the joint detection estimation of brain activity in fMRI. Chaari L; Forbes F; Vincent T; Dojat M; Ciuciu P Med Image Comput Comput Assist Interv; 2011; 14(Pt 2):260-8. PubMed ID: 21995037 [TBL] [Abstract][Full Text] [Related]
7. Robust image registration for functional magnetic resonance imaging of the brain. Hsu CC; Wu MT; Lee C Med Biol Eng Comput; 2001 Sep; 39(5):517-24. PubMed ID: 11712647 [TBL] [Abstract][Full Text] [Related]
8. Robust brain parcellation using sparse representation on resting-state fMRI. Zhang Y; Caspers S; Fan L; Fan Y; Song M; Liu C; Mo Y; Roski C; Eickhoff S; Amunts K; Jiang T Brain Struct Funct; 2015 Nov; 220(6):3565-79. PubMed ID: 25156576 [TBL] [Abstract][Full Text] [Related]
9. Prospective motion correction in functional MRI using simultaneous multislice imaging and multislice-to-volume image registration. Hoinkiss DC; Erhard P; Breutigam NJ; von Samson-Himmelstjerna F; Günther M; Porter DA Neuroimage; 2019 Oct; 200():159-173. PubMed ID: 31226496 [TBL] [Abstract][Full Text] [Related]
11. Signal quality and Bayesian signal processing in neurofeedback based on real-time fMRI. Koush Y; Zvyagintsev M; Dyck M; Mathiak KA; Mathiak K Neuroimage; 2012 Jan; 59(1):478-89. PubMed ID: 21839842 [TBL] [Abstract][Full Text] [Related]
12. A Kullback-Leibler methodology for HRF estimation in fMRI data. Seghouane AK Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():2910-3. PubMed ID: 21095983 [TBL] [Abstract][Full Text] [Related]
13. Comprehensive mathematical simulation of functional magnetic resonance imaging time series including motion-related image distortion and spin saturation effect. Kim B; Yeo DT; Bhagalia R Magn Reson Imaging; 2008 Feb; 26(2):147-59. PubMed ID: 17662548 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Support vector machine learning-based fMRI data group analysis. Wang Z; Childress AR; Wang J; Detre JA Neuroimage; 2007 Jul; 36(4):1139-51. PubMed ID: 17524674 [TBL] [Abstract][Full Text] [Related]
16. Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models. Faisan S; Thoraval L; Armspach JP; Metz-Lutz MN; Heitz F IEEE Trans Med Imaging; 2005 Feb; 24(2):263-76. PubMed ID: 15707252 [TBL] [Abstract][Full Text] [Related]
17. Spin saturation artifact correction using slice-to-volume registration motion estimates for fMRI time series. Bhagalia R; Kim B Med Phys; 2008 Feb; 35(2):424-34. PubMed ID: 18383662 [TBL] [Abstract][Full Text] [Related]
18. Automatic independent component labeling for artifact removal in fMRI. Tohka J; Foerde K; Aron AR; Tom SM; Toga AW; Poldrack RA Neuroimage; 2008 Feb; 39(3):1227-45. PubMed ID: 18042495 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. An information-theoretic criterion for intrasubject alignment of FMRI time series: motion corrected independent component analysis. Liao R; Krolik JL; McKeown MJ IEEE Trans Med Imaging; 2005 Jan; 24(1):29-44. PubMed ID: 15638184 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]