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ORCIDAndrew S. Nencka
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2020 – today
- 2023
[i2]Andrew S. Nencka, Lutfi Tugan Muftuler, Peter S. LaViolette, Kevin M. Koch:
On Functional Activations in Deep Neural Networks. CoRR abs/2311.10898 (2023)- 2021
- [j8]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:
Value CMR: Towards a Comprehensive, Rapid, Cost-Effective Cardiovascular Magnetic Resonance Imaging. Int. J. Biomed. Imaging 2021: 8851958:1-8851958:12 (2021) - [i1]Andrew S. Nencka, Mohammad Sherafati, Timothy Goebel, Parag Tolat, Kevin M. Koch:
Deep-learning based Tools for Automated Protocol Definition of Advanced Diagnostic Imaging Exams. CoRR abs/2106.08963 (2021)
2010 – 2019
- 2019
- [j7]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:
Effective Connectivity Within the Default Mode Network in Left Temporal Lobe Epilepsy: Findings from the Epilepsy Connectome Project. Brain Connect. 9(2): 174-183 (2019) - [j6]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:
Using Low-Frequency Oscillations to Detect Temporal Lobe Epilepsy with Machine Learning. Brain Connect. 9(2): 184-193 (2019) - [c1]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:
Classification before Segmentation: Improved U-Net Prostate Segmentation. BHI 2019: 1-4 - 2014
- [j5]Müge Karaman, Andrew S. Nencka, Iain P. Bruce, Daniel B. Rowe:
Quantification of the Statistical Effects of Spatiotemporal Processing of Nontask fMRI Data. Brain Connect. 4(9): 649-661 (2014) - 2013
- [j4]Arash Babaei, B. Douglas Ward, Robert M. Siwiec, Shahryar Ahmad, Mark Kern, Andrew S. Nencka, Shi-Jiang Li, Reza Shaker:
Functional connectivity of the cortical swallowing network in humans. NeuroImage 76: 33-44 (2013) - 2011
- [j3]Andrzej Jesmanowicz, Andrew S. Nencka, Shi-Jiang Li, James S. Hyde:
Two-Axis Acceleration of Functional Connectivity Magnetic Resonance Imaging by Parallel Excitation of Phase-Tagged Slices and Half k-Space Acceleration. Brain Connect. 1(1): 81-90 (2011)
2000 – 2009
- 2009
- [j2]Andrew D. Hahn, Andrew S. Nencka, Daniel B. Rowe:
Improving robustness and reliability of phase-sensitive fMRI analysis using temporal off-resonance alignment of single-echo timeseries (TOAST). NeuroImage 44(3): 742-752 (2009) - 2007
- [j1]Andrew S. Nencka, Daniel B. Rowe:
Reducing the unwanted draining vein BOLD contribution in fMRI with statistical post-processing methods. NeuroImage 37(1): 177-188 (2007)
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