Eduardo Castro Witting
Eduardo Castro Witting
Postdoctoral Researcher at IBM Research
No verified email
TitleCited byYear
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
682013
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
622015
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
582011
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
482014
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
332014
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
202014
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
162014
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
152014
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
142016
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
62017
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
62015
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
32015
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
32013
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
32011
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
2018
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
2017
Gray Matter Anomalies Detection via Multivariate Feature Selection: Classification of Schizophrenia
E Castro, CN Gupta, V Calhoun, J Turner
Organization for Human Brain Mapping, 2014
2014
Application of Multiple Kernel Learning on Brain Imaging for Mental Illness Characterization
EJ Castro Witting
2014
Application of Multiple Kernel Learning on Brain Imaging for Mental Illness Characterization
E Castro
The University of New Mexico, 2013
2013
Comparison of Boosting and Partial Least Squares techniques for real-time Pattern Recognition of Brain Activation in Functional Magnetic Resonance Imaging
H Davis, S Posse, E Castro-Witting, P Soliz
Asilomar Conference on Signals, Systems and Computers, 2008
2008
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Articles 1–20