Rita Z. Goldstein

According to our database, Rita Z. Goldstein authored at least 15 papers between 2005 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Speech Markers for Clinical Assessment of Cocaine Users.

Carla Agurto, Raquel Norel, Mary Pietrowicz, Muhammad A. Parvaz, Sivan Kinreich, Keren Bachi, Guillermo A. Cecchi, Rita Z. Goldstein

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Neuroimaging cognitive reappraisal in clinical populations to define neural targets for enhancing emotion regulation. A systematic review.

Anna Zilverstand, Muhammad A. Parvaz, Rita Z. Goldstein

NeuroImage, 2017

2016

Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach.

Irina Rish, Pouya Bashivan, Guillermo A. Cecchi, Rita Z. Goldstein

Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2015

Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm.

Eugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, Anna B. Konova, Jean Honorio, Nelly Alia-Klein, Rita Z. Goldstein, Dimitris Samaras, Matthew B. Blaschko

Comput. Medical Imaging Graph., 2015

2013

fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics.

Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Z. Goldstein, Matthew B. Blaschko

Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

FMRI analysis of cocaine addiction using k-support sparsity.

Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Z. Goldstein, Matthew B. Blaschko

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

Can a Single Brain Region Predict a Disorder?

Jean Honorio, Dardo Tomasi, Rita Z. Goldstein, Hoi-Chung Leung, Dimitris Samaras

IEEE Trans. Medical Imaging, 2012

Structural Integrity of the Prefrontal Cortex Modulates Electrocortical Sensitivity to Reward.

Muhammad A. Parvaz, Anna B. Konova, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein

J. Cogn. Neurosci., 2012

2010

Simple fully automated group classification on brain FMRI.

Jean Honorio, Dimitris Samaras, Dardo Tomasi, Rita Z. Goldstein

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

Sparse and Locally Constant Gaussian Graphical Models.

Jean Honorio, Luis E. Ortiz, Dimitris Samaras, Nikos Paragios, Rita Z. Goldstein

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Task-Specific Functional Brain Geometry from Model Maps.

Georg Langs, Dimitris Samaras, Nikos Paragios, Jean Honorio, Nelly Alia-Klein, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007

The effect of practice on a sustained attention task in cocaine abusers.

Rita Z. Goldstein, Dardo Tomasi, Nelly Alia-Klein, Lei Zhang, Frank Telang, Nora D. Volkow

NeuroImage, 2007

2005

Modeling Neuronal Interactivity using Dynamic Bayesian Networks.

Lei Zhang, Dimitris Samaras, Nelly Alia-Klein, Nora D. Volkow, Rita Z. Goldstein

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data.

Lei Zhang, Dimitris Samaras, Dardo Tomasi, Nelly Alia-Klein, Lisa Cottone, Andreana Leskovjan, Nora D. Volkow, Rita Z. Goldstein

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging.

Lei Zhang, Dimitris Samaras, Dardo Tomasi, Nora D. Volkow, Rita Z. Goldstein

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005