Barriers to implementation of a computerized decision support system for depression: an observational report on lessons learned in "real world" clinical settings. - Madhukar H. Trivedi; Ella J. Daly; Janet K. Kern; Bruce D. Grannemann; Prabha Sunderajan; Cynthia A. Claassen (BMC Medical Informatics Decis. Mak., 2009)

Harmonization of cortical thickness measurements across scanners and sites. - Jean-Philippe Fortin; Nicholas C. Cullen; Yvette I. Sheline; Warren D. Taylor; Irem Aselcioglu; Philip A. Cook; Phil Adams; Crystal Cooper; Maurizio Fava; Patrick J. McGrath; Melvin G. McInnis; Mary L. Phillips; et al. (NeuroImage, 2018)

Sensitivity of Derived Clinical Biomarkers to rs-fMRI Preprocessing Software Versions. - Kevin P. Nguyen; Cherise Chin Fatt; Cooper Mellema; Madhukar H. Trivedi; Albert Montillo (ISBI, 2019)

Predicting Response to the Antidepressant Bupropion Using Pretreatment fMRI. - Kevin P. Nguyen; Cherise Chin Fatt; Alex Treacher; Cooper Mellema; Madhukar H. Trivedi; Albert Montillo (PRIME@MICCAI, 2019)

Anatomically informed data augmentation for functional MRI with applications to deep learning. - Kevin P. Nguyen; Cherise Chin Fatt; Alex Treacher; Cooper Mellema; Madhukar H. Trivedi; Albert Montillo (Image Processing, 2020)

Pitfalls and Recommended Strategies and Metrics for Suppressing Motion Artifacts in Functional MRI. - Vyom Raval; Kevin P. Nguyen; Marco Pinho; Richard B. Dewey Jr.; Madhukar H. Trivedi; Albert Montillo (Neuroinformatics, 2022)

BLENDS: Augmentation of Functional Magnetic Resonance Images for Machine Learning Using Anatomically Constrained Warping. - Kevin P. Nguyen; Vyom Raval; Abu Minhajuddin; Thomas Carmody; Madhukar H. Trivedi; Richard B. Dewey; Albert Montillo (Brain Connect., 2023)