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ORCIDAriana E. Anderson
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- affiliation: University of California, Los Angeles, Department of Psychiatry and Biobehavioral Sciences, USA
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Journal Articles
- 2016
[j7]Ariana E. Anderson, Wesley T. Kerr
, April Thames, Tong Li, Jiayang Xiao, Mark S. Cohen:
Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: A cross-sectional, unselected, retrospective study. J. Biomed. Informatics 60: 162-168 (2016)- 2014
- [j6]Wesley T. Kerr, Pamela K. Douglas, Ariana E. Anderson, Mark S. Cohen:
The utility of data-driven feature selection: Re: Chu et al. 2012. NeuroImage 84: 1107-1110 (2014) - [j5]Ariana E. Anderson, Alison C. Burggren:
Cognitive and neurodevelopmental benefits of extended formula-feeding in infants: Re: Deoni et al 2013. NeuroImage 100: 706-709 (2014) - [j4]Ariana E. Anderson, Pamela K. Douglas, Wesley T. Kerr, Virginia S. Haynes, Alan L. Yuille, Jianwen Xie, Ying Nian Wu, Jesse A. Brown, Mark S. Cohen:
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. NeuroImage 102: 207-219 (2014) - 2011
- [j3]Ariana E. Anderson, Jennifer E. Bramen, Pamela K. Douglas, Agatha Lenartowicz, Andrew Y. Cho, Chris Culbertson, Arthur L. Brody, Alan L. Yuille, Mark S. Cohen:
Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering. Int. J. Imaging Syst. Technol. 21(2): 223-231 (2011) - [j2]Ariana E. Anderson, Jennifer S. Labus, Eduardo P. Vianna, Emeran A. Mayer, Mark S. Cohen:
Common component classification: What can we learn from machine learning? NeuroImage 56(2): 517-524 (2011) - 2010
- [j1]Ariana E. Anderson, Ivo D. Dinov, Jonathan E. Sherin, Javier Quintana, Alan L. Yuille, Mark S. Cohen:
Classification of spatially unaligned fMRI scans. NeuroImage 49(3): 2509-2519 (2010)
Conference and Workshop Papers
- 2014
- [c5]Wesley T. Kerr, Eric S. Hwang, Kaavya R. Raman, Sarah E. Barritt, Akash B. Patel, Justine M. Le, Jessica M. Hori, Emily C. Davis, Chelsea T. Braesch, Emily A. Janio, Edward P. Lau, Andrew Y. Cho, Ariana E. Anderson, Daniel H. S. Silverman, Noriko Salamon, Jerome Engel, John M. Stern, Mark S. Cohen:
Multimodal diagnosis of epilepsy using conditional dependence and multiple imputation. PRNI 2014: 1-4 - 2013
- [c4]Ariana E. Anderson, Mark S. Cohen:
Reducing Clinical Trial Costs by Detecting and Measuring the Placebo Effect and Treatment Effect Using Brain Imaging. MMVR 2013: 6-12 - [c3]Wesley T. Kerr, Andrew Y. Cho, Ariana E. Anderson, Pamela K. Douglas, Edward P. Lau, Eric S. Hwang, Kaavya R. Raman, Aaron Trefler, Mark S. Cohen, Stefan T. Nguyen, Navya M. Reddy, Daniel H. S. Silverman:
Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of Epilepsy. PRNI 2013: 86-89 - 2012
- [c2]Wesley T. Kerr, Ariana E. Anderson, Hongjing Xia, Eric S. Braun, Edward P. Lau, Andrew Y. Cho, Mark S. Cohen:
Parameter Selection in Mutual Information-Based Feature Selection in Automated Diagnosis of Multiple Epilepsies Using Scalp EEG. PRNI 2012: 45-48 - 2011
- [c1]Ariana E. Anderson, Dianna Han, Pamela K. Douglas, Jennifer E. Bramen, Mark S. Cohen:
Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box. MLINI 2011: 242-255
Parts in Books or Collections
- 2019
- [p1]Pamela K. Douglas, Ariana E. Anderson:
Feature Fallacy: Complications with Interpreting Linear Decoding Weights in fMRI. Explainable AI 2019: 363-378
Informal and Other Publications
- 2016
- [i1]Jianwen Xie, Pamela K. Douglas, Ying Nian Wu, Arthur L. Brody, Ariana E. Anderson:
Decoding the Encoding of Functional Brain Networks: an fMRI Classification Comparison of Non-negative Matrix Factorization (NMF), Independent Component Analysis (ICA), and Sparse Coding Algorithms. CoRR abs/1607.00435 (2016)
Coauthor Index
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