Eduardo Castro
Affiliations: | 2013 | Computer Engineering | University of New Mexico, Albuquerque, NM, United States |
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Sign in to add mentor| 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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| Wannan CMJ, Nelson B, Addington J, et al. (2024) Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis. Schizophrenia Bulletin |
| Polosecki P, Castro E, Rish I, et al. (2020) Resting-state connectivity stratifies premanifest Huntington's disease by longitudinal cognitive decline rate. Scientific Reports. 10: 1252 |
| Castro E, Polosecki P, Rish I, et al. (2018) Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease. Neuroimage. Clinical. 19: 443-453 |
| 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 |
| Polosecki P, Castro E, Wood A, et al. (2017) Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease Ibm Journal of Research and Development. 61: 4:1-4:10 |
| 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 |
| Castro E, Ulloa A, Plis SM, et al. (2015) Generation of synthetic structural magnetic resonance images for deep learning pre-training Proceedings - International Symposium On Biomedical Imaging. 2015: 1057-1060 |
| 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 |