Recognition of Schizophrenia with Regularized Support Vector Machine and Sequential Region of Interest Selection using Structural Magnetic Resonance Imaging
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Fanwen Meng | Rowena Chin | Alex Xiaobin You | Juan Zhou | Kang Sim | J. Zhou | K. Sim | R. Chin | F. Meng | A. X. You | Fanwen Meng
[1] I. Melle,et al. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium , 2016, Molecular Psychiatry.
[2] Andrea Mechelli,et al. Can neuroimaging be used to predict the onset of psychosis? , 2015, The lancet. Psychiatry.
[3] Zhong-Lin Lu,et al. Decreased bilateral thalamic gray matter volume in first-episode schizophrenia with prominent hallucinatory symptoms: A volumetric MRI study , 2015, Scientific Reports.
[4] G. Pergola,et al. The role of the thalamus in schizophrenia from a neuroimaging perspective , 2015, Neuroscience & Biobehavioral Reviews.
[5] P. Falkai,et al. Detecting Neuroimaging Biomarkers for Schizophrenia: A Meta-Analysis of Multivariate Pattern Recognition Studies , 2015, Neuropsychopharmacology.
[6] Jessica A. Turner,et al. Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[7] Dimitri Van De Ville,et al. Multivariate Pattern Recognition for Diagnosis and Prognosis in Clinical Neuroimaging: State of the Art, Current Challenges and Future Trends , 2014, Brain Topography.
[8] Helen S Mayberg,et al. Neuroimaging and psychiatry: the long road from bench to bedside. , 2014, The Hastings Center report.
[9] Rachel M. Brouwer,et al. Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects , 2014, NeuroImage.
[10] Juan Manuel Górriz,et al. Automatic classification of segmented MRI data combining Independent Component Analysis and Support Vector Machines , 2014, InMed.
[11] Umberto Castellani,et al. Machine Learning Approaches: From Theory to Application in Schizophrenia , 2013, Comput. Math. Methods Medicine.
[12] S. Lawrie,et al. Towards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject level , 2013, NeuroImage: Clinical.
[13] R. Kahn,et al. Brain volumes in schizophrenia: a meta-analysis in over 18 000 subjects. , 2013, Schizophrenia bulletin.
[14] José Carlos Pereira Campelos. Comparação do método de diagnóstico da perturbação de personalidade narcisista usado no "Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition" (DSM-IV) com o proposto para o "Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition" (DSM-V) , 2013 .
[15] Christos Davatzikos,et al. Neuroanatomical pattern classification in a population-based sample of first-episode schizophrenia , 2013, Progress in Neuro-psychopharmacology and Biological Psychiatry.
[16] Progressive loss of cortical gray matter in schizophrenia: a meta-analysis and meta-regression of longitudinal MRI studies , 2013, Translational Psychiatry.
[17] Marie Chupin,et al. Spatial and Anatomical Regularization of SVM: A General Framework for Neuroimaging Data , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] A. Vita,et al. Progressive loss of cortical gray matter in schizophrenia: a meta-analysis and meta-regression of longitudinal MRI studies , 2012, Translational Psychiatry.
[19] Wei Hao,et al. Decrease in Temporal Gyrus Gray Matter Volume in First-Episode, Early Onset Schizophrenia: An MRI Study , 2012, PloS one.
[20] Hilleke E. Hulshoff Pol,et al. Classification of schizophrenia patients and healthy controls from structural MRI scans in two large independent samples , 2012, NeuroImage.
[21] M. Phillips,et al. Neuroimaging in psychiatry: bringing neuroscience into clinical practice , 2012, British Journal of Psychiatry.
[22] Paolo Fusar-Poli,et al. Third-generation neuroimaging in early schizophrenia: translating research evidence into clinical utility. , 2012, The British journal of psychiatry : the journal of mental science.
[23] Tilo Kircher,et al. The influence of emotional associations on the neural correlates of semantic priming , 2012, Human brain mapping.
[24] D. Linden. The Challenges and Promise of Neuroimaging in Psychiatry , 2012, Neuron.
[25] Clifford R. Jack,et al. Diagnostic neuroimaging across diseases , 2011, NeuroImage.
[26] Yudong Zhang,et al. AN MR BRAIN IMAGES CLASSIFIER VIA PRINCIPAL COMPONENT ANALYSIS AND KERNEL SUPPORT , 2012 .
[27] E. Walker,et al. Diagnostic and Statistical Manual of Mental Disorders , 2013 .
[28] R. Salvador,et al. First-episode psychosis is characterized by failure of deactivation but not by hypo- or hyperfrontality , 2011, Psychological Medicine.
[29] E. Bullmore,et al. The University of Birmingham ( Live System ) Are There Progressive Brain Changes in Schizophrenia ? A Meta-Analysis of Structural Magnetic Resonance Imaging Studies , 2016 .
[30] Marie Chupin,et al. Automatic classi fi cation of patients with Alzheimer ' s disease from structural MRI : A comparison of ten methods using the ADNI database , 2010 .
[31] A. Mechelli,et al. Neuroanatomical abnormalities that predate the onset of psychosis: a multicenter study. , 2011, Archives of general psychiatry.
[32] Daniel Schwarz,et al. Maximum-uncertainty linear discrimination analysis of first-episode schizophrenia subjects , 2011, Psychiatry Research: Neuroimaging.
[33] Q. Gong,et al. Brain anatomical abnormalities in high-risk individuals, first-episode, and chronic schizophrenia: an activation likelihood estimation meta-analysis of illness progression. , 2011, Schizophrenia bulletin.
[34] Charlton Cheung,et al. Gray matter in first-episode schizophrenia before and after antipsychotic drug treatment. Anatomical likelihood estimation meta-analyses with sample size weighting. , 2011, Schizophrenia bulletin.
[35] L. DeLisi,et al. Progressive lateral ventricular enlargement in schizophrenia: A meta-analysis of longitudinal MRI studies , 2010, Schizophrenia Research.
[36] E. Bullmore,et al. Anatomy of bipolar disorder and schizophrenia: A meta-analysis , 2010, Schizophrenia Research.
[37] Abdel-Badeeh M. Salem,et al. Hybrid intelligent techniques for MRI brain images classification , 2010, Digit. Signal Process..
[38] Michael I. Miller,et al. Structural abnormalities in gyri of the prefrontal cortex in individuals with schizophrenia and their unaffected siblings , 2010, British Journal of Psychiatry.
[39] M. Kubicki,et al. Functional and anatomical connectivity abnormalities in left inferior frontal gyrus in schizophrenia , 2009, Human brain mapping.
[40] J. Os,et al. Schizophrenia , 2009, The Lancet.
[41] P. Fitzgerald,et al. Superior temporal gyrus volume change in schizophrenia: A review on Region of Interest volumetric studies , 2009, Brain Research Reviews.
[42] M. Yücel,et al. Mapping grey matter reductions in schizophrenia: An anatomical likelihood estimation analysis of voxel-based morphometry studies , 2009, Schizophrenia Research.
[43] Tom M. Mitchell,et al. Machine learning classifiers and fMRI: A tutorial overview , 2009, NeuroImage.
[44] E. Bullmore,et al. Meta-Analysis of Gray Matter Anomalies in Schizophrenia: Application of Anatomic Likelihood Estimation and Network Analysis , 2008, Biological Psychiatry.
[45] R. Gur,et al. Unaffected Family Members and Schizophrenia Patients Share Brain Structure Patterns: A High-Dimensional Pattern Classification Study , 2008, Biological Psychiatry.
[46] David G C Owens,et al. Brain structure and function changes during the development of schizophrenia: the evidence from studies of subjects at increased genetic risk. , 2007, Schizophrenia bulletin.
[47] John Ashburner,et al. A fast diffeomorphic image registration algorithm , 2007, NeuroImage.
[48] Daniel S. Margulies,et al. Mapping the functional connectivity of anterior cingulate cortex , 2007, NeuroImage.
[49] Nancy C. Andreasen,et al. Reduced thalamic volume in first-episode non-affective psychosis: Correlations with clinical variables, symptomatology and cognitive functioning , 2007, NeuroImage.
[50] Alan C. Evans,et al. Focal Gray Matter Changes in Schizophrenia across the Course of the Illness: A 5-Year Follow-Up Study , 2007, Neuropsychopharmacology.
[51] Sun I. Kim,et al. Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia , 2007, NeuroImage.
[52] Ferath Kherif,et al. Multivariate voxel-based morphometry successfully differentiates schizophrenia patients from healthy controls , 2007, NeuroImage.
[53] Dinggang Shen,et al. COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements , 2007, IEEE Transactions on Medical Imaging.
[54] Anders M. Dale,et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.
[55] J. Lieberman,et al. Brain volume in first-episode schizophrenia , 2006, British Journal of Psychiatry.
[56] R. Malach,et al. When the Brain Loses Its Self: Prefrontal Inactivation during Sensorimotor Processing , 2006, Neuron.
[57] T. Crow,et al. Regional deficits in brain volume in schizophrenia: a meta-analysis of voxel-based morphometry studies. , 2005, The American journal of psychiatry.
[58] B. Turetsky,et al. Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities. , 2005, Archives of general psychiatry.
[59] Joy Hirsch,et al. Functional Specialization within the Medial Frontal Gyrus for Perceptual Go/No-Go Decisions Based on What, When, and Where Related Information: An fMRI Study , 2005, Journal of Cognitive Neuroscience.
[60] Martha Elizabeth Shenton,et al. Voxel-Based Morphometric Analysis of Gray Matter in First Episode Schizophrenia , 2002, NeuroImage.
[61] R. Kahn,et al. Volume changes in gray matter in patients with schizophrenia. , 2002, The American journal of psychiatry.
[62] Emil Kraepelin,et al. Dementia praecox and paraphrenia , 2002 .
[63] R. Murray,et al. Superior temporal gyrus abnormalities in early-onset schizophrenia: similarities and differences with adult-onset schizophrenia. , 2001, The American journal of psychiatry.
[64] Karl J. Friston,et al. A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.
[65] J. Sweeney,et al. Thalamic volumes in patients with first-episode schizophrenia. , 2001, The American journal of psychiatry.
[66] K O Lim,et al. Progressive brain volume changes and the clinical course of schizophrenia in men: a longitudinal magnetic resonance imaging study. , 2001, Archives of general psychiatry.
[67] R. Murray,et al. Meta-analysis of regional brain volumes in schizophrenia. , 2000, The American journal of psychiatry.
[68] Vladimir Vapnik,et al. An overview of statistical learning theory , 1999, IEEE Trans. Neural Networks.
[69] R. McCarley,et al. MRI anatomy of schizophrenia , 1999, Biological Psychiatry.
[70] Eve C Johnstone,et al. Magnetic resonance imaging of brain in people at high risk of developing schizophrenia , 1999, The Lancet.
[71] S. Lawrie,et al. Brain abnormality in schizophrenia , 1998, British Journal of Psychiatry.
[72] Vladimir Naumovich Vapni. The Nature of Statistical Learning Theory , 1995 .