Classification of spatially unaligned fMRI scans. - Ariana E. Anderson; Ivo D. Dinov; Jonathan E. Sherin; Javier Quintana; Alan L. Yuille; Mark S. Cohen (NeuroImage, 2010)

Real-Time Functional MRI Classification of Brain States Using Markov-SVM Hybrid Models: Peering Inside the rt-fMRI Black Box. - Ariana E. Anderson; Dianna Han; Pamela K. Douglas; Jennifer E. Bramen; Mark S. Cohen (MLINI, 2011)

Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering. - 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 (Int. J. Imaging Syst. Technol., 2011)

Common component classification: What can we learn from machine learning? - Ariana E. Anderson; Jennifer S. Labus; Eduardo P. Vianna; Emeran A. Mayer; Mark S. Cohen (NeuroImage, 2011)

Parameter Selection in Mutual Information-Based Feature Selection in Automated Diagnosis of Multiple Epilepsies Using Scalp EEG. - Wesley T. Kerr; Ariana E. Anderson; Hongjing Xia; Eric S. Braun; Edward P. Lau; Andrew Y. Cho; Mark S. Cohen (PRNI, 2012)

Reducing Clinical Trial Costs by Detecting and Measuring the Placebo Effect and Treatment Effect Using Brain Imaging. - Ariana E. Anderson; Mark S. Cohen (MMVR, 2013)

Balancing Clinical and Pathologic Relevance in the Machine Learning Diagnosis of Epilepsy. - 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 (PRNI, 2013)

Multimodal diagnosis of epilepsy using conditional dependence and multiple imputation. - 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; et al. (PRNI, 2014)

Cognitive and neurodevelopmental benefits of extended formula-feeding in infants: Re: Deoni et al 2013. - Ariana E. Anderson; Alison C. Burggren (NeuroImage, 2014)

Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. - 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 (NeuroImage, 2014)

The utility of data-driven feature selection: Re: Chu et al. 2012. - Wesley T. Kerr; Pamela K. Douglas; Ariana E. Anderson; Mark S. Cohen (NeuroImage, 2014)

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. - Jianwen Xie; Pamela K. Douglas; Ying Nian Wu; Arthur L. Brody; Ariana E. Anderson (CoRR, 2016)

Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: A cross-sectional, unselected, retrospective study. - Ariana E. Anderson; Wesley T. Kerr; April Thames; Tong Li; Jiayang Xiao; Mark S. Cohen (J. Biomed. Informatics, 2016)

Feature Fallacy: Complications with Interpreting Linear Decoding Weights in fMRI. - Pamela K. Douglas; Ariana E. Anderson (Explainable AI, 2019)