Andrew S. Nencka

According to our database, Andrew S. Nencka authored at least 11 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

On Functional Activations in Deep Neural Networks.

Andrew S. Nencka, Lutfi Tugan Muftuler, Peter S. LaViolette, Kevin M. Koch

CoRR, 2023

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, Elizabeth M. Gore, Carmen Bergom

Int. J. Biomed. Imaging, 2021

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

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, Courtney Forseth, Dace N. Almane, Peter Kraegel, Andrew S. Nencka, Elizabeth Felton, Aaron F. Struck, Rasmus M. Birn, Rama Maganti, Lisa L. Conant, Colin J. Humphries, Bruce P. Hermann, Manoj Raghavan, Edgar A. DeYoe, Jeffrey R. Binder, Mary Elizabeth Meyerand, Vivek Prabhakaran

Brain Connect., 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, Peter Kraegel, Andrew S. Nencka, Onyekachi O. Nwoke, Manoj Raghavan, Charlene Rivera-Bonet, Megan Rozman, Neelima Tellapragada, Candida Ustine, B. Douglas Ward, Aaron F. Struck, Rama Maganti, Bruce P. Hermann, Vivek Prabhakaran, Jeffrey R. Binder, Mary E. Meyerand

Brain Connect., 2019

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

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2014

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

2013

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

2011

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

2009

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

2007

Reducing the unwanted draining vein BOLD contribution in fMRI with statistical post-processing methods.

Andrew S. Nencka, Daniel B. Rowe

NeuroImage, 2007