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237 related items for PubMed ID: 17354772
1. A new cortical surface parcellation model and its automatic implementation. Clouchoux C, Coulon O, Anton JL, Mangin JF, Régis J. Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):193-200. PubMed ID: 17354772 [Abstract] [Full Text] [Related]
2. Anatomically informed convolution kernels for the projection of fMRI data on the cortical surface. Operto G, Bulot R, Anton JL, Coulon O. Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):300-7. PubMed ID: 17354785 [Abstract] [Full Text] [Related]
3. Automatic cortical sulcal parcellation based on surface principal direction flow field tracking. Li G, Guo L, Nie J, Liu T. Inf Process Med Imaging; 2009; 21():202-14. PubMed ID: 19694264 [Abstract] [Full Text] [Related]
4. Resting-state FMRI single subject cortical parcellation based on region growing. Blumensath T, Behrens TE, Smith SM. Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):188-95. PubMed ID: 23286048 [Abstract] [Full Text] [Related]
5. Simulation study of magnetic resonance imaging-guided cortically constrained diffuse optical tomography of human brain function. Boas DA, Dale AM. Appl Opt; 2005 Apr 01; 44(10):1957-68. PubMed ID: 15813532 [Abstract] [Full Text] [Related]
6. Anatomically constrained surface parameterization for cortical localization. Clouchoux C, Coulon O, Rivière D, Cachia A, Mangin JF, Régis J. Med Image Comput Comput Assist Interv; 2005 Apr 01; 8(Pt 2):344-51. PubMed ID: 16685978 [Abstract] [Full Text] [Related]
7. Quantitative comparison of two cortical surface extraction methods using MRI phantoms. Eskildsen SF, Ostergaard LR. Med Image Comput Comput Assist Interv; 2007 Apr 01; 10(Pt 1):409-16. PubMed ID: 18051085 [Abstract] [Full Text] [Related]
8. A tracking approach to parcellation of the cerebral cortex. Adamson C, Johnston L, Inder T, Rees S, Mareels I, Egan G. Med Image Comput Comput Assist Interv; 2005 Apr 01; 8(Pt 1):294-301. PubMed ID: 16685858 [Abstract] [Full Text] [Related]
10. Investigating cortical variability using a generic gyral model. Lohmann G, von Cramon DY, Colchester AC. Med Image Comput Comput Assist Interv; 2006 Apr 01; 9(Pt 2):109-16. PubMed ID: 17354762 [Abstract] [Full Text] [Related]
11. Cortex segmentation: a fast variational geometric approach. Goldenberg R, Kimmel R, Rivlin E, Rudzsky M. IEEE Trans Med Imaging; 2002 Dec 01; 21(12):1544-51. PubMed ID: 12588038 [Abstract] [Full Text] [Related]
12. Object-based morphometry of the cerebral cortex. Mangin JF, Rivière D, Cachia A, Duchesnay E, Cointepas Y, Papadopoulos-Orfanos D, Collins DL, Evans AC, Régis J. IEEE Trans Med Imaging; 2004 Aug 01; 23(8):968-82. PubMed ID: 15338731 [Abstract] [Full Text] [Related]
13. A fast, model-independent method for cerebral cortical thickness estimation using MRI. Scott ML, Bromiley PA, Thacker NA, Hutchinson CE, Jackson A. Med Image Anal; 2009 Apr 01; 13(2):269-85. PubMed ID: 19068276 [Abstract] [Full Text] [Related]
14. A framework for registration, statistical characterization and classification of cortically constrained functional imaging data. Joshi AA, Shattuck DW, Thompson PM, Leahy RM. Inf Process Med Imaging; 2005 Apr 01; 19():186-96. PubMed ID: 17354695 [Abstract] [Full Text] [Related]
15. A surface-based approach to quantify local cortical gyrification. Schaer M, Cuadra MB, Tamarit L, Lazeyras F, Eliez S, Thiran JP. IEEE Trans Med Imaging; 2008 Feb 01; 27(2):161-70. PubMed ID: 18334438 [Abstract] [Full Text] [Related]
16. A human brain atlas derived via n-cut parcellation of resting-state and task-based fMRI data. James GA, Hazaroglu O, Bush KA. Magn Reson Imaging; 2016 Feb 01; 34(2):209-18. PubMed ID: 26523655 [Abstract] [Full Text] [Related]
20. Constructing 4D infant cortical surface atlases based on dynamic developmental trajectories of the cortex. Li G, Wang L, Shi F, Lin W, Shen D. Med Image Comput Comput Assist Interv; 2014 Feb 01; 17(Pt 3):89-96. PubMed ID: 25320786 [Abstract] [Full Text] [Related] Page: [Next] [New Search]