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Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method.

, , , , , , and . MLSP, page 1-6. IEEE, (2017)

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Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data., , , , , , , , , and 1 other author(s). IEEE Trans. Autonomous Mental Development, 7 (4): 320-331 (2015)Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method., , , , , , and . MLSP, page 1-6. IEEE, (2017)Discriminating Bipolar Disorder from Major Depression using Whole-Brain Functional Connectivity: a Feature Selection Analysis with SVM-FoBa Algorithm., , , , , , , and . Signal Processing Systems, 90 (2): 259-271 (2018)Improving Depth Resolution of Diffuse Optical Tomography with Intelligent Method., , and . ICIC (1), volume 5226 of Lecture Notes in Computer Science, page 514-520. Springer, (2008)Discriminating bipolar disorder from major depression using whole-brain functional connectivity: A feature selection analysis with SVM-FoBA algorithm., , , , , , , and . MLSP, page 1-6. IEEE, (2015)Discriminating bipolar disorder from major depression based on kernel SVM using functional independent components., , , , , , and . MLSP, page 1-6. IEEE, (2017)