Eduardo Castro

Affiliations: 
2013 Computer Engineering University of New Mexico, Albuquerque, NM, United States 
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Vince D Calhoun grad student 2013 Univ. of New Mexico
 (Application of Multiple Kernel Learning on Brain Imaging for Mental Illness Characterization.)
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Publications

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Gupta CN, Castro E, Rachkonda S, et al. (2017) Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia. Frontiers in Psychiatry. 8: 179
Castro E, Hjelm RD, Plis S, et al. (2016) Deep Independence Network Analysis of Structural Brain Imaging: Application to Schizophrenia. Ieee Transactions On Medical Imaging
Du Y, Pearlson GD, Liu J, et al. (2015) A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. Neuroimage. 122: 272-280
Arbabshirani MR, Castro E, Calhoun VD. (2014) Accurate classification of schizophrenia patients based on novel resting-state fMRI features. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 6691-4
Sui J, Castro E, He H, et al. (2014) Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 3889-92
Castro E, Gupta CN, Martínez-Ramón M, et al. (2014) Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 1513-6
Castro E, Gómez-Verdejo V, Martínez-Ramón M, et al. (2014) A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: application to schizophrenia. Neuroimage. 87: 1-17
Sui J, He H, Pearlson GD, et al. (2013) Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia. Neuroimage. 66: 119-32
Castro E, Martínez-Ramón M, Pearlson G, et al. (2011) Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophrenia. Neuroimage. 58: 526-36
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