Eduardo J. Castro Witting  Eduardo J. Castro Witting photo       

contact information

Postdoctoral Researcher
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash2302

links


more information

More information:  LinkedIn


2016

Deep Independence Network Analysis of Structural Brain Imaging: Application to Schizophrenia
E. Castro, R. D. Hjelm, S. M. Plis, L. Dinh, J. A. Turner, V. D. Calhoun
IEEE Transactions on Medical Imaging 35(7), 1729-1740, 2016


2015

Deep independence network analysis of structural brain imaging: A simulation study
Castro, Eduardo and Hjelm, Devon and Plis, Sergey and Dinh, Laurent and Turner, Jessica and Calhoun, Vince
2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1--6

A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders
Du, Yuhui and Pearlson, Godfrey D and Liu, Jingyu and Sui, Jing and Yu, Qingbao and He, Hao and Castro, Eduardo and Calhoun, Vince D
NeuroImage122, 272--280, Elsevier, 2015


2014

Accurate classification of schizophrenia patients based on novel resting-state fMRI features
Arbabshirani, Mohammad R and Castro, Eduardo and Calhoun, Vince D
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 6691--6694

Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection
Sui, Jing and Castro, Eduardo and He, Hao and Bridwell, David and Du, Yuhui and Pearlson, Godfrey D and Jiang, Tianzi and Calhoun, Vince D
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3889--3892

Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging
Castro, Eduardo and Gupta, Cota Navin and Mart{'i}nez-Ram{'o}n, Manel and Calhoun, Vince D and Arbabshirani, Mohammad R and Turner, Jessica
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1513--1516

A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia
Castro, Eduardo and G{'o}mez-Verdejo, Vanessa and Mart{'i}nez-Ram{'o}n, Manel and Kiehl, Kent A and Calhoun, Vince D
NeuroImage87, 1--17, Elsevier, 2014

The tenth annual MLSP competition: schizophrenia classification challenge
Silva, Rogers F and Castro, Eduardo and Gupta, Cota Navin and Cetin, Mustafa and Arbabshirani, Mohammad and Potluru, Vamsi K and Plis, Sergey M and Calhoun, Vince D
2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1--6


2013

Application of multiple kernel learning on brain imaging for mental illness characterization
Castro, Eduardo
2013 - dl.acm.org, University of New Mexico

Three-way (N-way) fusion of brain imaging data based on mCCA+ jICA and its application to discriminating schizophrenia
Sui, Jing and He, Hao and Pearlson, Godfrey D and Adali, T{"u}lay and Kiehl, Kent A and Yu, Qingbao and Clark, Vince P and Castro, Eduardo and White, Tonya and Mueller, Bryon A and others
Neuroimage66, 119--132, Elsevier, 2013


2011

Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophrenia
Castro, Eduardo and Martinez-Ramon, Manel and Pearlson, Godfrey and Sui, Jing and Calhoun, Vince D
Neuroimage 58(2), 526--536, Elsevier, 2011




Projects and Groups


Technical Areas