original ) (raw )High classification accuracy for schizophrenia with rest and task FMRI data
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Frontiers in Neuroscience, 2016
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Data driven analysis of functional brain networks in fMRI for schizophrenia investigation
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2016
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Frontiers in human neuroscience, 2013
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2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
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Regional homogeneity and anatomical parcellation for fMRI image classification: application to schizophrenia and normal controls
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Multisite generalizability of schizophrenia diagnosis classification based on functional brain connectivity
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A Review of Challenges in the Use of fMRI for Disease Classification / Characterization and A Projection Pursuit Application from A Multi-site fMRI Schizophrenia Study
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Automatic Bayesian Classification of Healthy Controls, Bipolar Disorder, and Schizophrenia Using Intrinsic Connectivity Maps From fMRI Data
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Comparing functional connectivity based predictive models across datasets
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Connectivity cluster analysis for discovering discriminative subnetworks in schizophrenia
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Improving Classification Rate of Schizophrenia Using a Multimodal Multi-Layer Perceptron Model with Structural and Functional MR
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Local activity features for computer aided diagnosis of schizophrenia on resting-state fMRI
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Neurocomputing, 2015
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fMRI: preprocessing, classification and pattern recognition
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Functional Network Connectivity and SVM Classification of fMRI data using R
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Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects
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Early MS Identification Using Non-linear Functional Connectivity and Graph-theoretic Measures of Cognitive Task-fMRI Data
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New Graph-Theoretical-Multimodal Approach Using Temporal and Structural Correlations Reveals Disruption in the Thalamo-Cortical Network in Patients with Schizophrenia
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