| Three-way (N-way) fusion of brain imaging data based on mCCA+ jICA and its application to discriminating schizophrenia J Sui, H He, GD Pearlson, T Adali, KA Kiehl, Q Yu, VP Clark, E Castro, ... NeuroImage 66, 119-132, 2013 | 144 | 2013 |
| A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders Y Du, G Pearlson, J Liu, J Sui, Q Yu, H He, E Castro, V Calhoun Neuroimage 122, 272–280, 2015 | 139 | 2015 |
| Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophrenia E Castro, M Martínez-Ramón, G Pearlson, J Sui, VD Calhoun Neuroimage 58 (2), 526-536, 2011 | 83 | 2011 |
| A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: application to schizophrenia E Castro, V Gómez-Verdejo, M Martínez-Ramón, KA Kiehl, VD Calhoun NeuroImage 87, 1-17, 2014 | 70 | 2014 |
| Combination of FMRI-SMRI-EEG Data Improves Discrimination of Schizophrenia Patients by Ensemble Feature Selection J Sui, E Castro, H He, D Bridwell, Y Du, GD Pearlson, T Jiang, ... International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 | 67 | 2014 |
| The Tenth Annual MLSP Competition: Schizophrenia Classification Challenge RF Silva, E Castro, CN Gupta, M Cetin, M Arbabshirani, VK Potluru, ... IEEE International Workshop on Machine Learning for Signal Processing, 2014 | 49 | 2014 |
| Accurate Classification of Schizophrenia Patients based on Novel Resting-State fMRI Features MR Arbabshirani, E Castro, V Calhoun International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 | 38 | 2014 |
| Deep Independence Network Analysis of Structural Brain Imaging: Application to Schizophrenia E Castro, D Hjelm, S Plis, D Laurent, J Turner, V Calhoun IEEE Transactions on Medical Imaging 35 (7), 1729-40, 2016 | 34 | 2016 |
| Biclustered independent component analysis for complex biomarker and subtype identification from structural magnetic resonance images in schizophrenia CN Gupta, E Castro, S Rachkonda, TGM van Erp, S Potkin, JM Ford, ... Frontiers in psychiatry 8, 179, 2017 | 33 | 2017 |
| Identification of Patterns of Gray Matter Abnormalities in Schizophrenia Using Source-Based Morphometry and Bagging E Castro, CN Gupta, M Martínez-Ramón, V Calhoun, MR Arbabshirani, ... International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 | 27 | 2014 |
| Resting-state connectivity stratifies premanifest Huntington’s disease by longitudinal cognitive decline rate P Polosecki, E Castro, I Rish, D Pustina, JH Warner, A Wood, C Sampaio, ... Scientific reports 10 (1), 1252, 2020 | 21 | 2020 |
| Generation of Synthetic Structural Magnetic Resonance Images for Deep Learning Pre-Training E Castro, A Ulloa, S Plis, J Turner, V Calhoun International Symposium on Biomedical Imaging, 2015 | 13 | 2015 |
| Deep independence network analysis of structural brain imaging: A simulation study E Castro, D Hjelm, S Plis, L Dinh, J Turner, V Calhoun 2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015 | 6 | 2015 |
| Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease E Castro, P Polosecki, I Rish, D Pustina, JH Warner, A Wood, C Sampaio, ... NeuroImage: Clinical 19, 443-453, 2018 | 5 | 2018 |
| Predictive Modeling of Huntington's Disease Unfolds Thalamic and Caudate Atrophy Dissociation E Castro, P Polosecki, D Pustina, A Wood, C Sampaio, GA Cecchi Movement Disorders 37 (12), 2407-2416, 2022 | 2 | 2022 |
| Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease P Polosecki, E Castro, A Wood, JH Warner, I Rish, GA Cecchi IBM Journal of Research and Development 61 (2/3), 4: 1-4: 10, 2017 | 2 | 2017 |
| A Multiple Kernel Learning Approach for Schizophrenia Classification from Complex-Valued fMRI Data E Castro, M Martínez-Ramón, K Kiehl, V Calhoun Organization of Human Brain Mapping, 2013 | 2 | 2013 |
| Complex fMRI data classification using composite kernels: application to schizophrenia E Castro, M Martínez-Ramón, A Caprihan, V Calhoun Organization of Human Brain Mapping, 2011 | 2 | 2011 |
| Multimodal fusion of brain signals for robust prediction of psychosis transition JM Reinen, P Polosecki, E Castro, CM Corcoran, GA Cecchi, T Colibazzi Schizophrenia 10 (1), 54, 2024 | | 2024 |
| Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI M Aiskovich, E Castro, JM Reinen, S Fadnavis, A Mehta, H Li, ... Frontiers in radiology 4, 1283392, 2024 | | 2024 |
