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Brain morphometry of MR images for automated classification of first-episode schizophrenia.

, and . Inf. Fusion, (2014)

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fMRI neurofeedback in emotion regulation: A literature review., , , , , and . NeuroImage, (2019)Automated tissue classification in MRI brain images with the use of deformable registration., and . EUSIPCO, page 1127-1130. IEEE, (2007)Brain morphometry of MR images for automated classification of first-episode schizophrenia., and . Inf. Fusion, (2014)Brain Tissue Classification with Automated Generation of Training Data Improved by Deformable Registration., and . CAIP, volume 4673 of Lecture Notes in Computer Science, page 301-308. Springer, (2007)Multi-center machine learning in imaging psychiatry: A meta-model approach., , , , , , , , and . NeuroImage, (2017)Random Subspace Ensemble Artificial Neural Networks for First-episode Schizophrenia Classification., , , and . FedCSIS, volume 8 of Annals of Computer Science and Information Systems, page 317-321. IEEE, (2016)Multilevel block matching technique with the use of generalized partial volume interpolation for nonlinear intersubject registration of MRI brain images., and . EUSIPCO, page 1-5. IEEE, (2008)Brain Morphometry Methods for Feature Extraction in Random Subspace Ensemble Neural Network Classification of First-Episode Schizophrenia., , and . Neural Comput., 31 (5): 897-918 (2019)Theory of Mind Skills Are Related to Resting-State Frontolimbic Connectivity in Schizophrenia., , , , , , and . Brain Connect., 8 (6): 350-361 (2018)A Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research., , , and . IEEE Trans. Medical Imaging, 26 (4): 452-461 (2007)