On Network Derivation, Classification, and Visualization: A Response to Habeck and Moeller. - Erik B. Erhardt; Elena A. Allen; Eswar Damaraju; Vince D. Calhoun (Brain Connect., 2011)

Correspondence between structure and function in the human brain at rest. - Judith M. Segall; Elena A. Allen; Rex E. Jung; Erik B. Erhardt; Sunil Kumar Arja; Kent A. Kiehl; Vince D. Calhoun (Frontiers Neuroinformatics, 2012)

Capturing inter-subject variability with group independent component analysis of fMRI data: A simulation study. - Elena A. Allen; Erik B. Erhardt; Yonghua Wei; Tom Eichele; Vince D. Calhoun (NeuroImage, 2012)

SimTB, a simulation toolbox for fMRI data under a model of spatiotemporal separability. - Erik B. Erhardt; Elena A. Allen; Yonghua Wei; Tom Eichele; Vince D. Calhoun (NeuroImage, 2012)

Synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia. - Alvaro Ulloa; Sergey M. Plis; Erik B. Erhardt; Vince D. Calhoun (MLSP, 2015)

Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia. - Qingbao Yu; Erik B. Erhardt; Jing Sui; Yuhui Du; Hao He 002; R. Devon Hjelm; Mustafa S. Çetin; Srinivas Rachakonda; Robyn L. Miller; Godfrey D. Pearlson; Vince D. Calhoun (NeuroImage, 2015)