Hole Detection in Metabolic Connectivity of Alzheimer's Disease Using k -Laplacian
暂无分享,去创建一个
Moo K. Chung | Hyekyoung Lee | Hyejin Kang | Dong Soo Lee | M. Chung | Hyejin Kang | Dong Soo Lee | Hyekyoung Lee
[1] Ming C. Lin,et al. Simulation-Based Joint Estimation of Body Deformation and Elasticity Parameters for Medical Image Analysis , 2012, IEEE Transactions on Medical Imaging.
[2] Sivaraman Balakrishnan,et al. Statistical Inference For Persistent Homology , 2013, arXiv.org.
[3] Vin de Silva,et al. Coverage in sensor networks via persistent homology , 2007 .
[4] A. Convit,et al. Reduced hippocampal metabolism in MCI and AD , 2005, Neurology.
[5] Fan Chung,et al. Spectral Graph Theory , 1996 .
[6] Gunnar E. Carlsson,et al. Topology and data , 2009 .
[7] Michael Weiner,et al. Breakdown of Brain Connectivity Between Normal Aging and Alzheimer's Disease: A Structural k-Core Network Analysis , 2013, Brain Connect..
[8] G. Alexander,et al. Longitudinal PET Evaluation of Cerebral Metabolic Decline in Dementia: A Potential Outcome Measure in Alzheimer's Disease Treatment Studies. , 2002, The American journal of psychiatry.
[9] Herbert Edelsbrunner,et al. Computational Topology - an Introduction , 2009 .
[10] Magnus Egerstedt,et al. Control Using Higher Order Laplacians in Network Topologies , 2006 .
[11] J. Jost,et al. Spectra of combinatorial Laplace operators on simplicial complexes , 2011, 1105.2712.
[12] Karl J. Friston,et al. Structural and Functional Brain Networks: From Connections to Cognition , 2013, Science.
[13] Bung-Nyun Kim,et al. Persistent Brain Network Homology From the Perspective of Dendrogram , 2012, IEEE Transactions on Medical Imaging.