Towards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures
暂无分享,去创建一个
[1] A M Dale,et al. Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[2] Fillia Makedon,et al. A surface-based approach for classification of 3D neuroanatomic structures , 2004, Intell. Data Anal..
[3] A. Dale,et al. Subregional neuroanatomical change as a biomarker for Alzheimer's disease , 2009, Proceedings of the National Academy of Sciences.
[4] Kiralee M. Hayashi,et al. Dynamics of Gray Matter Loss in Alzheimer's Disease , 2003, The Journal of Neuroscience.
[5] Alan C. Evans,et al. Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI , 2000, NeuroImage.
[6] Paul M. Thompson,et al. Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus , 2013, NeuroImage.
[7] Suzanne E. Welcome,et al. Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children , 2022 .
[8] DavatzikosChristos. Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models , 1997 .
[9] R. Tibshirani,et al. Diagnosis of multiple cancer types by shrunken centroids of gene expression , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[10] Robert Bridson,et al. Isosurface stuffing improved: acute lattices and feature matching , 2013, SIGGRAPH '13.
[11] A. Dale,et al. High‐resolution intersubject averaging and a coordinate system for the cortical surface , 1999, Human brain mapping.
[12] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[13] Jean-Francois Mangin,et al. A Library of Cortical Morphology Analysis Tools to Study Development, Aging and Genetics of Cerebral Cortex , 2011, Neuroinformatics.
[14] Paul M. Thompson,et al. Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline , 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).
[15] L. Guse,et al. An examination of psychometric properties of the mini-mental state examination and the standardized mini-mental state examination: implications for clinical practice. , 2000, Applied nursing research : ANR.
[16] A. Toga,et al. Abnormal gyral complexity in first-episode schizophrenia , 2004, Biological Psychiatry.
[17] Kiralee M. Hayashi,et al. Mapping cortical change in Alzheimer's disease, brain development, and schizophrenia , 2004, NeuroImage.
[18] Polina Golland,et al. BrainPrint: A discriminative characterization of brain morphology , 2015, NeuroImage.
[19] A. Toga,et al. In vivo evidence for post-adolescent brain maturation in frontal and striatal regions , 1999, Nature Neuroscience.
[20] Arthur W. Toga,et al. Laplace-Beltrami nodal counts: A new signature for 3D shape analysis , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[21] William Roshan Quadros,et al. CUBIT Geometry and Mesh Generation Toolkit 15.2 User Documentation , 2016 .
[22] Farid G. Mitri,et al. Improving the use of vibro-acoustography for brachytherapy metal seed imaging: A feasibility study , 2004, IEEE Transactions on Medical Imaging.
[23] Hong Qin,et al. Physically based modeling and simulation with dynamic spherical volumetric simplex splines , 2010, Comput. Aided Des..
[24] Leo Grady,et al. FOCUSR: Feature Oriented Correspondence Using Spectral Regularization--A Method for Precise Surface Matching , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Wiro J Niessen,et al. A 10-year follow-up of hippocampal volume on magnetic resonance imaging in early dementia and cognitive decline. , 2010, Brain : a journal of neurology.
[26] Paul M. Thompson,et al. Volumetric harmonic brain mapping , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).
[27] Koenraad Van Leemput,et al. Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases , 2016, NeuroImage.
[28] Xin Li,et al. Biharmonic Volumetric Mapping Using Fundamental Solutions , 2013, IEEE Transactions on Visualization and Computer Graphics.
[29] A. Dale,et al. Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.
[30] Arthur W. Toga,et al. The generation of tetrahedral mesh models for neuroanatomical MRI , 2011, NeuroImage.
[31] Paul M. Thompson,et al. Robust Surface Reconstruction via Laplace-Beltrami Eigen-Projection and Boundary Deformation , 2010, IEEE Transactions on Medical Imaging.
[32] Darshan Pai,et al. Evaluation of fiber bundles across subjects through brain mapping and registration of diffusion tensor data , 2011, NeuroImage.
[33] Michele Tansella,et al. A New Shape Diffusion Descriptor for Brain Classification , 2011, MICCAI.
[34] Ulrich Pinkall,et al. Computing Discrete Minimal Surfaces and Their Conjugates , 1993, Exp. Math..
[35] Yuan Qi,et al. Cortical Surface Shape Analysis Based on Spherical Wavelets , 2007, IEEE Transactions on Medical Imaging.
[36] Gang Wang,et al. A novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel , 2015, Medical Image Anal..
[37] David A. Boas,et al. Tetrahedral mesh generation from volumetric binary and grayscale images , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[38] Yalin Wang,et al. Genetic Influence of Apolipoprotein E4 Genotype on Hippocampal Morphometry: an N 5 725 Surface-based Alzheimer's Disease Neuroimaging Initiative Study *; and for the Alzheimer's Disease Neuroimaging Initiative , 2022 .
[39] Yalin Wang,et al. Volumetric Harmonic Map , 2003, Commun. Inf. Syst..
[40] C. O’Brien. Statistical Learning with Sparsity: The Lasso and Generalizations , 2016 .
[41] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[42] Leonidas J. Guibas,et al. A concise and provably informative multi-scale signature based on heat diffusion , 2009 .
[43] Christos Davatzikos,et al. Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models , 1997, Comput. Vis. Image Underst..
[44] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[45] Andrea Bergmann,et al. Statistical Parametric Mapping The Analysis Of Functional Brain Images , 2016 .
[46] Arthur W. Toga,et al. Metric Optimization for Surface Analysis in the Laplace-Beltrami Embedding Space , 2014, IEEE Transactions on Medical Imaging.
[47] Yaron Lipman,et al. Injective and bounded distortion mappings in 3D , 2013, ACM Trans. Graph..
[48] Karl J. Friston,et al. Voxel-Based Morphometry—The Methods , 2000, NeuroImage.
[49] Yang Song,et al. Surface-based Tbm Boosts Power to Detect Disease Effects on the Brain: an N = 804 Adni Study ☆ and the Alzheimer's Disease Neuroimaging Initiative , 2022 .
[50] Michael I. Miller,et al. Bayesian Construction of Geometrically Based Cortical Thickness Metrics , 2000, NeuroImage.
[51] Brian B. Avants,et al. Registration based cortical thickness measurement , 2009, NeuroImage.
[52] Karl J. Friston,et al. A Voxel-Based Method for the Statistical Analysis of Gray and White Matter Density Applied to Schizophrenia , 1995, NeuroImage.
[53] Paul M. Thompson,et al. Influence of APOE Genotype on Hippocampal Atrophy over Time - An N=1925 Surface-Based ADNI Study , 2016, PloS one.
[54] Martin Styner,et al. Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM. , 2006, The insight journal.
[55] Ann B. Lee,et al. Geometric diffusions as a tool for harmonic analysis and structure definition of data: multiscale methods. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[56] C. Jack,et al. MRI as a biomarker of disease progression in a therapeutic trial of milameline for AD , 2003, Neurology.
[57] Michael I. Miller,et al. Estimating linear cortical magnification in human primary visual cortex via dynamic programming , 2006, NeuroImage.
[58] Greg Turk,et al. Simplification and Repair of Polygonal Models Using Volumetric Techniques , 2003, IEEE Trans. Vis. Comput. Graph..
[59] Aaron F. Bobick,et al. Multiscale 3-D Shape Representation and Segmentation Using Spherical Wavelets , 2007, IEEE Transactions on Medical Imaging.
[60] A. Dale,et al. The Genetic Association Between Neocortical Volume and General Cognitive Ability Is Driven by Global Surface Area Rather Than Thickness. , 2015, Cerebral cortex.
[61] Gang Wang,et al. Multi-scale Heat Kernel Based Volumetric Morphology Signature , 2015, MICCAI.
[62] S. Rosenberg. The Laplacian on a Riemannian Manifold: The Laplacian on a Riemannian Manifold , 1997 .
[63] Sébastien Ourselin,et al. A comparison of voxel and surface based cortical thickness estimation methods , 2011, NeuroImage.
[64] Michael I. Miller,et al. Smooth functional and structural maps on the neocortex via orthonormal bases of the Laplace-Beltrami operator , 2006, IEEE Transactions on Medical Imaging.
[65] Moo K. Chung,et al. Cortical thickness analysis in autism with heat kernel smoothing , 2005, NeuroImage.
[66] Yalin Wang,et al. Disease classification with hippocampal shape invariants , 2009, Hippocampus.
[67] Moo K. Chung,et al. Weighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter , 2007, IEEE Transactions on Medical Imaging.
[68] Zhao Yin,et al. Feature-aligned harmonic volumetric mapping using MFS , 2010, Comput. Graph..
[69] Hang Si,et al. TetGen, a Delaunay-Based Quality Tetrahedral Mesh Generator , 2015, ACM Trans. Math. Softw..
[70] Hong Qin,et al. Restricted Trivariate Polycube Splines for Volumetric Data Modeling , 2012, IEEE Transactions on Visualization and Computer Graphics.
[71] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[72] J. S. Marron,et al. Distance-Weighted Discrimination , 2007 .
[73] Peter Schröder,et al. Close-to-conformal deformations of volumes , 2015, ACM Trans. Graph..
[74] Guillermo Sapiro,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[75] C. Jack,et al. Alzheimer's Disease Neuroimaging Initiative , 2008 .
[76] Stine K. Krogsrud,et al. Development and aging of cortical thickness correspond to genetic organization patterns , 2015, Proceedings of the National Academy of Sciences.
[77] Xiao-dong Chen,et al. Sparse discriminant analysis: Sparse discriminant analysis , 2013 .
[78] T. Chan,et al. Genus zero surface conformal mapping and its application to brain surface mapping. , 2004, IEEE transactions on medical imaging.
[79] Daniela Giorgi,et al. Discrete Laplace-Beltrami operators for shape analysis and segmentation , 2009, Comput. Graph..
[80] Pierre Poulin,et al. As-conformal-as-possible discrete volumetric mapping , 2012, Comput. Graph..
[81] Bruno Lévy,et al. Laplace-Beltrami Eigenfunctions Towards an Algorithm That "Understands" Geometry , 2006, IEEE International Conference on Shape Modeling and Applications 2006 (SMI'06).
[82] Raif M. Rustamov,et al. Interpolated eigenfunctions for volumetric shape processing , 2011, The Visual Computer.
[83] Hong Qin,et al. Surface Mesh to Volumetric Spline Conversion with Generalized Polycubes , 2013, IEEE Transactions on Visualization and Computer Graphics.
[84] Anne Gelb,et al. The resolution of the Gibbs phenomenon for spherical harmonics , 1997, Math. Comput..
[85] Amy Brodtmann,et al. Cortical thickness estimation in longitudinal stroke studies: A comparison of 3 measurement methods , 2014, NeuroImage: Clinical.
[86] Nicholas Ayache,et al. Brain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps , 2015, IPMI.
[87] Wei Zeng,et al. Hyperbolic Harmonic Mapping for Surface Registration , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[88] C. Studholme,et al. Brain atrophy associated with baseline and longitudinal measures of cognition , 2011, Neurobiology of Aging.
[89] Rasmus Larsen,et al. SpaSM: A MATLAB Toolbox for Sparse Statistical Modeling , 2018 .
[90] Meng Wang,et al. 3D deep shape descriptor , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[91] Fillia Makedon,et al. Spherical mapping for processing of 3D closed surfaces , 2006, Image Vis. Comput..
[92] G. F. Hughes,et al. On the mean accuracy of statistical pattern recognizers , 1968, IEEE Trans. Inf. Theory.
[93] Gang Wang,et al. Impact of Early and Late Visual Deprivation on the Structure of the Corpus Callosum: A Study Combining Thickness Profile with Surface Tensor-Based Morphometry , 2015, Neuroinformatics.
[94] Alan C. Evans,et al. Measurement of Cortical Thickness Using an Automated 3-D Algorithm: A Validation Study , 2001, NeuroImage.
[95] Richard M. Leahy,et al. BrainSuite: An Automated Cortical Surface Identification Tool , 2000, MICCAI.
[96] Nick C Fox,et al. The clinical use of structural MRI in Alzheimer disease , 2010, Nature Reviews Neurology.
[97] Hong Qin,et al. Harmonic volumetric mapping for solid modeling applications , 2007, Symposium on Solid and Physical Modeling.
[98] S. Yau,et al. Lectures on Harmonic Maps , 1997 .
[99] Richard M. Leahy,et al. An Invariant Shape Representation Using the Anisotropic Helmholtz Equation , 2012, MICCAI.
[100] R. Tibshirani,et al. Penalized Discriminant Analysis , 1995 .
[101] R. Woods,et al. Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas. , 2001, Cerebral cortex.
[102] Alexander M. Bronstein,et al. Volumetric heat kernel signatures , 2010, 3DOR '10.
[103] Niklas Peinecke,et al. Laplace-Beltrami spectra as 'Shape-DNA' of surfaces and solids , 2006, Comput. Aided Des..
[104] I. Aharon,et al. Three‐dimensional mapping of cortical thickness using Laplace's Equation , 2000, Human brain mapping.