Reducing the unwanted draining vein BOLD contribution in fMRI with statistical post-processing methods. - Andrew S. Nencka; Daniel B. Rowe (NeuroImage, 2007)

Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST). - Andrew D. Hahn; Andrew S. Nencka; Daniel B. Rowe (NeuroImage, 2009)

Two-Axis Acceleration of Functional Connectivity Magnetic Resonance Imaging by Parallel Excitation of Phase-Tagged Slices and Half k-Space Acceleration. - Andrzej Jesmanowicz; Andrew S. Nencka; Shi-Jiang Li; James S. Hyde (Brain Connect., 2011)

Functional connectivity of the cortical swallowing network in humans. - Arash Babaei; B. Douglas Ward; Robert M. Siwiec; Shahryar Ahmad; Mark Kern; Andrew S. Nencka; Shi-Jiang Li; Reza Shaker (NeuroImage, 2013)

Quantification of the Statistical Effects of Spatiotemporal Processing of Nontask fMRI Data. - Müge Karaman; Andrew S. Nencka; Iain P. Bruce; Daniel B. Rowe (Brain Connect., 2014)

Classification before Segmentation: Improved U-Net Prostate Segmentation. - Ronald J. Nowling; John Bukowy; Sean D. McGarry; Andrew S. Nencka; Oliver Blasko; Jay Urbain; Allison K. Lowman; Alexander Barrington; Anjishnu Banerjee; Kenneth A. Iczkowski; Peter S. LaViolette (BHI, 2019)

Effective Connectivity Within the Default Mode Network in Left Temporal Lobe Epilepsy: Findings from the Epilepsy Connectome Project. - Cole J. Cook; Gyujoon Hwang; Jedidiah Mathis; Veena A. Nair; Lisa L. Conant; Linda Allen; Dace N. Almane; Rasmus M. Birn; Edgar A. DeYoe; Elizabeth Felton; Courtney Forseth; Colin J. Humphries; et al. (Brain Connect., 2019)

Using Low-Frequency Oscillations to Detect Temporal Lobe Epilepsy with Machine Learning. - Gyujoon Hwang; Veena A. Nair; Jed Mathis; Cole J. Cook; Rosaleena Mohanty; Gengyan Zhao; Neelima Tellapragada; Candida Ustine; Onyekachi O. Nwoke; Charlene Rivera-Bonet; Megan Rozman; Linda Allen; et al. (Brain Connect., 2019)

Deep-learning based Tools for Automated Protocol Definition of Advanced Diagnostic Imaging Exams. - Andrew S. Nencka; Mohammad Sherafati; Timothy Goebel; Parag Tolat; Kevin M. Koch (CoRR, 2021)

Value CMR: Towards a Comprehensive, Rapid, Cost-Effective Cardiovascular Magnetic Resonance Imaging. - El-Sayed H. Ibrahim; Luba Frank; Dhiraj Baruah; Volkan Emre Arpinar; Andrew S. Nencka; Kevin M. Koch; Lutfi Tugan Muftuler; Orhan Unal; Jadranka Stojanovska; Jason C. Rubenstein; Sherry-Ann Brown; John Charlson; et al. (Int. J. Biomed. Imaging, 2021)

On Functional Activations in Deep Neural Networks. - Andrew S. Nencka; Lutfi Tugan Muftuler; Peter S. LaViolette; Kevin M. Koch (CoRR, 2023)

Variable Resolution Sampling and Deep Learning Image Recovery for Accelerated Multi-Spectral MRI Near Metal Implants. - Azadeh Sharafi; Nikolai J. Mickevicius; Mehran Baboli; Andrew S. Nencka; Kevin M. Koch (CoRR, 2024)