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Rita Z. Goldstein
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Journal Articles
- 2017
- [j5]Anna Zilverstand, Muhammad A. Parvaz, Rita Z. Goldstein:
Neuroimaging cognitive reappraisal in clinical populations to define neural targets for enhancing emotion regulation. A systematic review. NeuroImage 151: 105-116 (2017) - 2015
- [j4]Eugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, Anna B. Konova, Jean Honorio, Nelly Alia-Klein, Rita Z. Goldstein, Dimitris Samaras, Matthew B. Blaschko:
Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm. Comput. Medical Imaging Graph. 46: 40-46 (2015) - 2012
- [j3]Muhammad A. Parvaz, Anna B. Konova, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein:
Structural Integrity of the Prefrontal Cortex Modulates Electrocortical Sensitivity to Reward. J. Cogn. Neurosci. 24(7): 1560-1570 (2012) - [j2]Jean Honorio, Dardo Tomasi, Rita Z. Goldstein, Hoi-Chung Leung, Dimitris Samaras:
Can a Single Brain Region Predict a Disorder? IEEE Trans. Medical Imaging 31(11): 2062-2072 (2012) - 2007
- [j1]Rita Z. Goldstein, Dardo Tomasi, Nelly Alia-Klein, Lei Zhang, Frank Telang, Nora D. Volkow:
The effect of practice on a sustained attention task in cocaine abusers. NeuroImage 35(1): 194-206 (2007)
Conference and Workshop Papers
- 2019
- [c10]Carla Agurto, Raquel Norel, Mary Pietrowicz, Muhammad A. Parvaz, Sivan Kinreich, Keren Bachi, Guillermo A. Cecchi, Rita Z. Goldstein:
Speech Markers for Clinical Assessment of Cocaine Users. ICASSP 2019: 6391-6394 - 2016
- [c9]Irina Rish, Pouya Bashivan, Guillermo A. Cecchi, Rita Z. Goldstein:
Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97880O - 2013
- [c8]Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Z. Goldstein, Matthew B. Blaschko:
FMRI analysis of cocaine addiction using k-support sparsity. ISBI 2013: 1078-1081 - [c7]Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Z. Goldstein, Matthew B. Blaschko:
fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics. MLMI 2013: 90-97 - 2010
- [c6]Jean Honorio, Dimitris Samaras, Dardo Tomasi, Rita Z. Goldstein:
Simple fully automated group classification on brain FMRI. ISBI 2010: 1145-1148 - 2009
- [c5]Jean Honorio, Luis E. Ortiz, Dimitris Samaras, Nikos Paragios, Rita Z. Goldstein:
Sparse and Locally Constant Gaussian Graphical Models. NIPS 2009: 745-753 - 2008
- [c4]Georg Langs, Dimitris Samaras, Nikos Paragios, Jean Honorio, Nelly Alia-Klein, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein:
Task-Specific Functional Brain Geometry from Model Maps. MICCAI (1) 2008: 925-933 - 2005
- [c3]Lei Zhang, Dimitris Samaras, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein:
Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging. CVPR (1) 2005: 1211-1217 - [c2]Lei Zhang, Dimitris Samaras, Dardo Tomasi, Nelly Alia-Klein, Lisa Cottone, Andreana Leskovjan, Nora D. Volkow, Rita Z. Goldstein:
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data. MICCAI 2005: 679-687 - [c1]Lei Zhang, Dimitris Samaras, Nelly Alia-Klein, Nora D. Volkow, Rita Z. Goldstein:
Modeling Neuronal Interactivity using Dynamic Bayesian Networks. NIPS 2005: 1593-1600
Coauthor Index
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