Следене
Eduardo Castro Witting
Eduardo Castro Witting
Research Staff Member at IBM Research
Потвърден имейл адрес: us.ibm.com
Заглавие
Позовавания
Позовавания
Година
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
1352015
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
1352013
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
832011
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
702014
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
652014
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
482014
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
382014
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
332016
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, 293973, 2017
312017
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
262014
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
182020
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
132015
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
62015
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
52018
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
22022
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
22017
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
22013
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
22011
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
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Статии 1–20