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ORCIDPatrick Luckett
Person information
- affiliation: Washington University, Department of Neurology, St. Louis, MO, USA
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2020 – today
- 2022
[j3]Peter R. Millar
, Patrick H. Luckett, Brian A. Gordon, Tammie L. S. Benzinger, Suzanne E. Schindler, Anne M. Fagan, Carlos Cruchaga, Randall J. Bateman, Ricardo Allegri, Mathias Jucker, Jae-Hong Lee, Hiroshi Mori, Stephen P. Salloway, Igor Yakushev, John C. Morris, Beau M. Ances:
Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease. NeuroImage 256: 119228 (2022)
2010 – 2019
- 2019
- [j2]Patrick Luckett, Elena Pavelescu, Todd McDonald, Lee M. Hively, Juan Ochoa:
Predicting state transitions in brain dynamics through spectral difference of phase-space graphs. J. Comput. Neurosci. 46(1): 91-106 (2019) - [c3]Patrick Luckett, Thomas Watts, Jeffrey Todd McDonald, Lee M. Hively, Ryan Benton:
A Deep Learning Approach to Phase-Space Analysis for Seizure Detection. BCB 2019: 190-196 - 2018
- [j1]Patrick Luckett, Jeffrey Todd McDonald, William Bradley Glisson, Ryan Benton, Joel A. Dawson, Blair A. Doyle:
Identifying stealth malware using CPU power consumption and learning algorithms. J. Comput. Secur. 26(5): 589-613 (2018) - 2017
- [c2]Patrick Luckett, Jeffrey Todd McDonald, William Bradley Glisson:
Attack-Graph Threat Modeling Assessment of Ambulatory Medical Devices. HICSS 2017: 1-10 - [c1]Joel A. Dawson, Jeffrey Todd McDonald, Jordan Shropshire, Todd R. Andel, Patrick Luckett, Lee M. Hively:
Rootkit detection through phase-space analysis of power voltage measurements. MALWARE 2017: 19-27 - [i1]Patrick Luckett, Jeffrey Todd McDonald, William Bradley Glisson:
Attack-Graph Threat Modeling Assessment of Ambulatory Medical Devices. CoRR abs/1709.05026 (2017)
Coauthor Index
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