Topological Brain Network Distances
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Victor Solo | Moo K. Chung | Hernando Ombao | Hyekyoung Lee | Andrey Gritsenko | Dustin S. Pluta | Alex DiChristofano | Dustin Pluta | V. Solo | H. Ombao | M. Chung | Hyekyoung Lee | Andrey Gritsenko | Alex DiChristofano
[1] Vin de Silva,et al. On the Local Behavior of Spaces of Natural Images , 2007, International Journal of Computer Vision.
[2] R. Ghrist. Barcodes: The persistent topology of data , 2007 .
[3] Dinggang Shen,et al. Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Moo K. Chung,et al. Manifold learning on brain functional networks in aging , 2015, Medical Image Anal..
[5] Robert Tibshirani,et al. Hierarchical Clustering With Prototypes via Minimax Linkage , 2011, Journal of the American Statistical Association.
[6] Nagesh Adluru,et al. Cosine series representation of 3D curves and its application to white matter fiber bundles in diffusion tensor imaging. , 2010, Statistics and its interface.
[7] Danielle Smith Bassett,et al. Small-World Brain Networks , 2006, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[8] Jean Dickinson Gibbons,et al. Nonparametric Statistical Inference , 1972, International Encyclopedia of Statistical Science.
[9] R. Adler,et al. Persistent homology for random fields and complexes , 2010, 1003.1001.
[10] Moo K. Chung,et al. Hill Climbing Optimized Twin Classification Using Resting-State Functional MRI , 2018, ArXiv.
[11] F. Gonzalez-Lima,et al. Structural equation modeling and its application to network analysis in functional brain imaging , 1994 .
[12] Alan C. Evans,et al. Structural Insights into Aberrant Topological Patterns of Large-Scale Cortical Networks in Alzheimer's Disease , 2008, The Journal of Neuroscience.
[13] Moo K. Chung,et al. Discriminative persistent homology of brain networks , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[14] D. Falconer. Introduction to quantitative genetics. 1. ed. , 1984 .
[15] B. Efron. The jackknife, the bootstrap, and other resampling plans , 1987 .
[16] David Cohen-Steiner,et al. Stability of Persistence Diagrams , 2005, Discret. Comput. Geom..
[17] O. Sporns,et al. Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.
[18] T. Snijders,et al. The Use of Multilevel Modeling for Analysing Personal Networks: Networks of Cocaine Users in an Urban Area. , 1995 .
[19] Leonidas J. Guibas,et al. Gromov‐Hausdorff Stable Signatures for Shapes using Persistence , 2009, Comput. Graph. Forum.
[20] C. Stam,et al. Small‐world properties of nonlinear brain activity in schizophrenia , 2009, Human brain mapping.
[21] Victor Solo,et al. Topological Distances Between Brain Networks , 2017, CNI@MICCAI.
[22] Andrew T. A. Wood,et al. Algorithm AS 312: An Algorithm for Simulating Stationary Gaussian Random Fields , 1997 .
[23] Alexey A. Tuzhilin,et al. Who Invented the Gromov-Hausdorff Distance? , 2016, 1612.00728.
[24] E. Bullmore,et al. Adaptive reconfiguration of fractal small-world human brain functional networks , 2006, Proceedings of the National Academy of Sciences.
[25] Tyrone D. Cannon,et al. Genetic influences on brain structure , 2001, Nature Neuroscience.
[26] P. Fox,et al. Genetic control over the resting brain , 2010, Proceedings of the National Academy of Sciences.
[27] Danijela Horak,et al. Persistent homology of complex networks , 2008, 0811.2203.
[28] Jun Li,et al. Brain Anatomical Network and Intelligence , 2009, NeuroImage.
[29] Gunnar Carlsson,et al. Persistent Clustering and a Theorem of J. Kleinberg , 2008, 0808.2241.
[30] Mark W. Woolrich,et al. Resting-state fMRI in the Human Connectome Project , 2013, NeuroImage.
[31] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[32] Steen Moeller,et al. The Human Connectome Project: A data acquisition perspective , 2012, NeuroImage.
[33] N. Tzourio-Mazoyer,et al. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.
[34] Daniel L. Rubin,et al. Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease , 2008, PLoS Comput. Biol..
[35] Trevor J. Hastie,et al. Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso , 2011, J. Mach. Learn. Res..
[36] Moo K. Chung,et al. Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study , 2013, MICCAI.
[37] Moo K. Chung,et al. Computing the Shape of Brain Networks Using Graph Filtration and Gromov-Hausdorff Metric , 2011, MICCAI.
[38] Bung-Nyun Kim,et al. Persistent Brain Network Homology From the Perspective of Dendrogram , 2012, IEEE Transactions on Medical Imaging.
[39] Kurt Hornik,et al. A Kolmogorov-Smirnov Test for r Samples , 2012, Fundam. Informaticae.
[40] H. Edelsbrunner,et al. Persistent Homology — a Survey , 2022 .
[41] S. Havlin,et al. Self-similarity of complex networks , 2005, Nature.
[42] Hyekyoung Lee,et al. Integrated multimodal network approach to PET and MRI based on multidimensional persistent homology , 2014, Human brain mapping.
[43] M. Newman,et al. Scaling and percolation in the small-world network model. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[44] Moo K. Chung,et al. Exact Combinatorial Inference for Brain Images , 2018, MICCAI.
[45] F. Mémoli,et al. Persistent Clustering and a Theorem of J . , 2008 .
[46] Moo K. Chung,et al. Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease , 2015, NeuroImage.
[47] Mert R. Sabuncu,et al. The influence of head motion on intrinsic functional connectivity MRI , 2012, NeuroImage.
[48] Facundo Mémoli,et al. Characterization, Stability and Convergence of Hierarchical Clustering Methods , 2010, J. Mach. Learn. Res..
[49] Kathleen M. Carley,et al. Metric inference for social networks , 1994 .
[50] Tony Jebara,et al. Multi-object tracking with representations of the symmetric group , 2007, AISTATS.
[51] Nicholas Ayache,et al. Fast and Simple Calculus on Tensors in the Log-Euclidean Framework , 2005, MICCAI.
[52] Edward T. Bullmore,et al. Whole-brain anatomical networks: Does the choice of nodes matter? , 2010, NeuroImage.
[53] Afra Zomorodian,et al. Computing Persistent Homology , 2004, SCG '04.
[54] B. Biswal,et al. Network homogeneity reveals decreased integrity of default-mode network in ADHD , 2008, Journal of Neuroscience Methods.
[55] Gang Li,et al. High‐order resting‐state functional connectivity network for MCI classification , 2016, Human brain mapping.
[56] G. Petri,et al. Homological scaffolds of brain functional networks , 2014, Journal of The Royal Society Interface.
[57] Mikael Vejdemo-Johansson,et al. javaPlex: A Research Software Package for Persistent (Co)Homology , 2014, ICMS.
[58] Moo K. Chung,et al. Exact Topological Inference for Paired Brain Networks via Persistent Homology , 2017, bioRxiv.
[59] Andreas Daffertshofer,et al. Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory , 2010, PloS one.
[60] Y. Wang,et al. Topological Distances between Networks and Its Application to Brain Imaging , 2017, 1701.04171.