A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines
暂无分享,去创建一个
Carla E. Brodley | Jennifer G. Dy | Bilal Ahmed | Orrin Devinsky | Thomas Thesen | Ruben Kuzniecky | Yijun Zhao | Karen E. Blackmon | C. Brodley | R. Kuzniecky | O. Devinsky | T. Thesen | K. Blackmon | Yijun Zhao | Bilal Ahmed
[1] Maria Thom,et al. The clinicopathologic spectrum of focal cortical dysplasias: A consensus classification proposed by an ad hoc Task Force of the ILAE Diagnostic Methods Commission 1 , 2011, Epilepsia.
[2] A. Dale,et al. Thinning of the cerebral cortex in aging. , 2004, Cerebral cortex.
[3] Yee Whye Teh,et al. Dirichlet Process , 2017, Encyclopedia of Machine Learning and Data Mining.
[4] David Haussler,et al. Unsupervised learning of distributions on binary vectors using two layer networks , 1991, NIPS 1991.
[5] J. Sethuraman. A CONSTRUCTIVE DEFINITION OF DIRICHLET PRIORS , 1991 .
[6] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[7] Miguel Á. Carreira-Perpiñán,et al. On Contrastive Divergence Learning , 2005, AISTATS.
[8] Gustavo Rey,et al. Different features of histopathological subtypes of pediatric focal cortical dysplasia , 2008, Annals of neurology.
[9] Neda Bernasconi,et al. Surface-Based Texture and Morphological Analysis Detects Subtle Cortical Dysplasia , 2008, MICCAI.
[10] N. Makris,et al. A methodology for analyzing curvature in the developing brain from preterm to adult , 2008, Int. J. Imaging Syst. Technol..
[11] Roded Sharan,et al. Bayesian haplo-type inference via the dirichlet process , 2004, ICML.
[12] Emile H. L. Aarts,et al. Boltzmann machines , 1998 .
[13] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[14] A. James Barkovich,et al. Malformations of cortical development and epilepsy , 2001, Brain and Development.
[15] W. Hauser,et al. Epilepsy: Frequency Causes and Consequences , 1990 .
[16] Nir Friedman,et al. Probabilistic Graphical Models - Principles and Techniques , 2009 .
[17] Boris C. Bernhardt,et al. Advances in MRI for 'cryptogenic' epilepsies , 2011, Nature Reviews Neurology.
[18] I. Melle,et al. Cortical Volume, Surface Area, and Thickness in Schizophrenia and Bipolar Disorder , 2012, Biological Psychiatry.
[19] Z. I. Wang,et al. The pathology of magnetic-resonance-imaging-negative epilepsy , 2013, Modern Pathology.
[20] J Ashburner,et al. Computational neuroanatomy: new perspectives for neuroradiology. , 2001, Revue neurologique.
[21] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[22] Michael I. Jordan,et al. Variational methods for the Dirichlet process , 2004, ICML.
[23] P. Kwan,et al. Early identification of refractory epilepsy. , 2000, The New England journal of medicine.
[24] Neda Bernasconi,et al. Automated detection of cortical dysplasia type II in MRI-negative epilepsy , 2014, Neurology.
[25] Michael I. Jordan,et al. Variational inference for Dirichlet process mixtures , 2006 .
[26] Chong Wang,et al. A Nested HDP for Hierarchical Topic Models , 2013, ICLR.
[27] D. V. van Essen,et al. Cortical Folding Abnormalities in Autism Revealed by Surface-Based Morphometry , 2007, The Journal of Neuroscience.
[28] 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.
[29] P. Ellen Grant,et al. A methodology for analyzing curvature in the developing brain from preterm to adult , 2008, Int. J. Imaging Syst. Technol..
[30] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[31] Paul Smolensky,et al. Information processing in dynamical systems: foundations of harmony theory , 1986 .
[32] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[33] Tafsir Thiam,et al. The Boltzmann machine , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).
[34] Samuel Wiebe,et al. Long-term seizure outcomes following epilepsy surgery: a systematic review and meta-analysis. , 2005, Brain : a journal of neurology.
[35] A. Dale,et al. Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.
[36] Itzhak Fried,et al. Assessment and surgical outcomes for mild type I and severe type II cortical dysplasia: A critical review and the UCLA experience , 2009, Epilepsia.
[37] Geoffrey E. Hinton,et al. Implicit Mixtures of Restricted Boltzmann Machines , 2008, NIPS.
[38] C. Brodley,et al. Cortical feature analysis and machine learning improves detection of “MRI-negative” focal cortical dysplasia , 2015, Epilepsy & Behavior.
[39] Carla E. Brodley,et al. Class Imbalance, Redux , 2011, 2011 IEEE 11th International Conference on Data Mining.
[40] Carla E. Brodley,et al. Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations , 2014, ICML.
[41] Lawrence Carin,et al. Multi-Task Learning for Classification with Dirichlet Process Priors , 2007, J. Mach. Learn. Res..
[42] Orrin Devinsky,et al. Detection of Epileptogenic Cortical Malformations with Surface-Based MRI Morphometry , 2011, PloS one.
[43] Radford M. Neal. Markov Chain Sampling Methods for Dirichlet Process Mixture Models , 2000 .