195 related articles for article (PubMed ID: 21640841)
1. A comparison of voxel and surface based cortical thickness estimation methods.
Clarkson MJ; Cardoso MJ; Ridgway GR; Modat M; Leung KK; Rohrer JD; Fox NC; Ourselin S
Neuroimage; 2011 Aug; 57(3):856-65. PubMed ID: 21640841
[TBL] [Abstract][Full Text] [Related]
2. Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps.
Acosta O; Bourgeat P; Zuluaga MA; Fripp J; Salvado O; Ourselin S;
Med Image Anal; 2009 Oct; 13(5):730-43. PubMed ID: 19648050
[TBL] [Abstract][Full Text] [Related]
3. Cortical Thickness Estimation: A Comparison of FreeSurfer and Three Voxel-Based Methods in a Test-Retest Analysis and a Clinical Application.
Velázquez J; Mateos J; Pasaye EH; Barrios FA; Marquez-Flores JA
Brain Topogr; 2021 Jul; 34(4):430-441. PubMed ID: 34008053
[TBL] [Abstract][Full Text] [Related]
4. Direct cortical thickness estimation using deep learning-based anatomy segmentation and cortex parcellation.
Rebsamen M; Rummel C; Reyes M; Wiest R; McKinley R
Hum Brain Mapp; 2020 Dec; 41(17):4804-4814. PubMed ID: 32786059
[TBL] [Abstract][Full Text] [Related]
5. Cortical thickness estimation in longitudinal stroke studies: A comparison of 3 measurement methods.
Li Q; Pardoe H; Lichter R; Werden E; Raffelt A; Cumming T; Brodtmann A
Neuroimage Clin; 2015; 8():526-35. PubMed ID: 26110108
[TBL] [Abstract][Full Text] [Related]
6. Voxel-wise deviations from healthy aging for the detection of region-specific atrophy.
Klöppel S; Yang S; Kellner E; Reisert M; Heimbach B; Urbach H; Linn J; Weidauer S; Andres T; Bröse M; Lahr J; Lützen N; Meyer PT; Peter J; Abdulkadir A; Hellwig S; Egger K;
Neuroimage Clin; 2018; 20():851-860. PubMed ID: 30278372
[TBL] [Abstract][Full Text] [Related]
7. Hippocampal volume change measurement: quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST.
Mulder ER; de Jong RA; Knol DL; van Schijndel RA; Cover KS; Visser PJ; Barkhof F; Vrenken H;
Neuroimage; 2014 May; 92():169-81. PubMed ID: 24521851
[TBL] [Abstract][Full Text] [Related]
8. Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease.
Kim JP; Kim J; Park YH; Park SB; Lee JS; Yoo S; Kim EJ; Kim HJ; Na DL; Brown JA; Lockhart SN; Seo SW; Seong JK
Neuroimage Clin; 2019; 23():101811. PubMed ID: 30981204
[TBL] [Abstract][Full Text] [Related]
9. A method for assessing voxel correspondence in longitudinal tumor imaging.
Hoisak JD; Jaffray DA
Med Phys; 2011 May; 38(5):2742-53. PubMed ID: 21776811
[TBL] [Abstract][Full Text] [Related]
10. Predictive models of autism spectrum disorder based on brain regional cortical thickness.
Jiao Y; Chen R; Ke X; Chu K; Lu Z; Herskovits EH
Neuroimage; 2010 Apr; 50(2):589-99. PubMed ID: 20026220
[TBL] [Abstract][Full Text] [Related]
11. Comparisons between Alzheimer disease, frontotemporal lobar degeneration, and normal aging with brain mapping.
Whitwell JL; Jack CR
Top Magn Reson Imaging; 2005 Dec; 16(6):409-25. PubMed ID: 17088691
[TBL] [Abstract][Full Text] [Related]
12. Disparate voxel based morphometry (VBM) results between SPM and FSL softwares in ALS patients with frontotemporal dementia: which VBM results to consider?
Rajagopalan V; Pioro EP
BMC Neurol; 2015 Mar; 15():32. PubMed ID: 25879588
[TBL] [Abstract][Full Text] [Related]
13. Automatic delineation of sulci and improved partial volume classification for accurate 3D voxel-based cortical thickness estimation from MR.
Acosta O; Bourgeat P; Fripp J; Bonner E; Ourselin S; Salvado O
Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):253-61. PubMed ID: 18979755
[TBL] [Abstract][Full Text] [Related]
14. Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease.
Acosta O; Fripp J; Doré V; Bourgeat P; Favreau JM; Chételat G; Rueda A; Villemagne VL; Szoeke C; Ames D; Ellis KA; Martins RN; Masters CL; Rowe CC; Bonner E; Gris F; Xiao D; Raniga P; Barra V; Salvado O
J Neurosci Methods; 2012 Mar; 205(1):96-109. PubMed ID: 22226742
[TBL] [Abstract][Full Text] [Related]
15. Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases.
Iglesias JE; Van Leemput K; Augustinack J; Insausti R; Fischl B; Reuter M;
Neuroimage; 2016 Nov; 141():542-555. PubMed ID: 27426838
[TBL] [Abstract][Full Text] [Related]
16. Issues with threshold masking in voxel-based morphometry of atrophied brains.
Ridgway GR; Omar R; Ourselin S; Hill DL; Warren JD; Fox NC
Neuroimage; 2009 Jan; 44(1):99-111. PubMed ID: 18848632
[TBL] [Abstract][Full Text] [Related]
17. Advantages of cortical surface reconstruction using submillimeter 7 T MEMPRAGE.
Zaretskaya N; Fischl B; Reuter M; Renvall V; Polimeni JR
Neuroimage; 2018 Jan; 165():11-26. PubMed ID: 28970143
[TBL] [Abstract][Full Text] [Related]
18. Disease-specific patterns of cortical and subcortical degeneration in a longitudinal study of Alzheimer's disease and behavioural-variant frontotemporal dementia.
Landin-Romero R; Kumfor F; Leyton CE; Irish M; Hodges JR; Piguet O
Neuroimage; 2017 May; 151():72-80. PubMed ID: 27012504
[TBL] [Abstract][Full Text] [Related]
19. Feature-ranking-based Alzheimer's disease classification from structural MRI.
Beheshti I; Demirel H;
Magn Reson Imaging; 2016 Apr; 34(3):252-63. PubMed ID: 26657976
[TBL] [Abstract][Full Text] [Related]
20. Direct voxel-based comparison between grey matter hypometabolism and atrophy in Alzheimer's disease.
Chételat G; Desgranges B; Landeau B; Mézenge F; Poline JB; de la Sayette V; Viader F; Eustache F; Baron JC
Brain; 2008 Jan; 131(Pt 1):60-71. PubMed ID: 18063588
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
