Multikernel Capsule Network for Schizophrenia Identification
暂无分享,去创建一个
Andrzej Cichocki | Anastasios Bezerianos | Junhua Li | Tian Wang | A. Cichocki | Junhua Li | Tian Wang | Anastasios Bezerianos
[1] Robertas Alzbutas,et al. Convolutional capsule network for classification of breast cancer histology images , 2018, ICIAR.
[2] A. Bezerianos,et al. Machine learning technique reveals intrinsic characteristics of schizophrenia: an alternative method , 2018, Brain Imaging and Behavior.
[3] Dinesh Bhugra,et al. The Global Prevalence of Schizophrenia , 2005, PLoS medicine.
[4] 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.
[5] Xi-Nian Zuo,et al. REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing , 2011, PloS one.
[6] Vince D. Calhoun,et al. A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia , 2010, Front. Hum. Neurosci..
[7] Philip S. Yu,et al. Zero-shot User Intent Detection via Capsule Neural Networks , 2018, EMNLP.
[8] Chaogan Yan,et al. DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010, Front. Syst. Neurosci..
[9] Vince D. Calhoun,et al. Classification of schizophrenia patients based on resting-state functional network connectivity , 2013, Front. Neurosci..
[10] P. Buckley. Rare Structural Variants Disrupt Multiple Genes in Neurodevelopmental Pathways in Schizophrenia , 2009 .
[11] Hien Van Nguyen,et al. Fast CapsNet for Lung Cancer Screening , 2018, MICCAI.
[12] Oscar Marín,et al. Interneuron dysfunction in psychiatric disorders , 2012, Nature Reviews Neuroscience.
[13] S. Lawrie,et al. Towards the identification of imaging biomarkers in schizophrenia, using multivariate pattern classification at a single-subject level , 2013, NeuroImage: Clinical.
[14] Karl J. Friston,et al. The dysconnection hypothesis (2016) , 2016, Schizophrenia Research.
[15] Vince D. Calhoun,et al. Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia , 2016, NeuroImage.
[16] Juan Bustillo,et al. Functional imaging of the hemodynamic sensory gating response in schizophrenia , 2013, Human brain mapping.
[17] A. Singleton,et al. Rare Structural Variants Disrupt Multiple Genes in Neurodevelopmental Pathways in Schizophrenia , 2008, Science.
[18] Geoffrey E. Hinton,et al. Dynamic Routing Between Capsules , 2017, NIPS.
[19] Vince D. Calhoun,et al. Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia , 2011, NeuroImage.
[20] Vince D. Calhoun,et al. Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity , 2016, NeuroImage.
[21] Cameron S. Carter,et al. Automated classification of fMRI during cognitive control identifies more severely disorganized subjects with schizophrenia , 2012, Schizophrenia Research.
[22] Vince D. Calhoun,et al. Improving Classification Rate of Schizophrenia Using a Multimodal Multi-Layer Perceptron Model with Structural and Functional MR , 2018, ArXiv.
[23] Toshiyuki Someya,et al. Diagnostic classification of schizophrenia by neural network analysis of blood-based gene expression signatures , 2010, Schizophrenia Research.
[24] H. Yamasue,et al. Classification of First-Episode Schizophrenia Patients and Healthy Subjects by Automated MRI Measures of Regional Brain Volume and Cortical Thickness , 2011, PloS one.
[25] M. Kubicki,et al. Review of functional and anatomical brain connectivity findings in schizophrenia , 2013, Current opinion in psychiatry.
[26] Yufeng Zang,et al. DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010 .
[27] Dewen Hu,et al. Discriminative analysis of resting-state functional connectivity patterns of schizophrenia using low dimensional embedding of fMRI , 2010, NeuroImage.
[28] Chen Xu,et al. MS-CapsNet: A Novel Multi-Scale Capsule Network , 2018, IEEE Signal Processing Letters.
[29] Yasuhiro Kawasaki,et al. Differentiation of first-episode schizophrenia patients from healthy controls using ROI-based multiple structural brain variables , 2010, Progress in Neuro-Psychopharmacology and Biological Psychiatry.
[30] Wilson Rivera,et al. Capsule Networks for Protein Structure Classification and Prediction , 2018, ArXiv.
[31] S. Sponheim,et al. Sensitivity and specificity of select biological indices in characterizing psychotic patients and their relatives , 2003, Schizophrenia Research.
[32] Min Yang,et al. Investigating Capsule Networks with Dynamic Routing for Text Classification , 2018, EMNLP.
[33] A. Mechelli,et al. Dysconnectivity in schizophrenia: Where are we now? , 2011, Neuroscience & Biobehavioral Reviews.
[34] Jiang Li,et al. Seagrass Detection in Coastal Water Through Deep Capsule Networks , 2018, PRCV.
[35] Dinggang Shen,et al. Multivariate examination of brain abnormality using both structural and functional MRI , 2007, NeuroImage.
[36] S. Sponheim,et al. Using biological indices to classify schizophrenia and other psychotic patients , 2001, Schizophrenia Research.
[37] Konstantinos N. Plataniotis,et al. Brain Tumor Type Classification via Capsule Networks , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).