John Maidens
Cited by
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Lagrangian methods for approximating the viability kernel in high-dimensional systems
JN Maidens, S Kaynama, IM Mitchell, MMK Oishi, GA Dumont
Automatica 49 (7), 2017-2029, 2013
Computing the viability kernel using maximal reachable sets
S Kaynama, J Maidens, M Oishi, IM Mitchell, GA Dumont
Proceedings of the 15th ACM international conference on Hybrid Systems …, 2012
Reachability analysis of nonlinear systems using matrix measures
J Maidens, M Arcak
IEEE Transactions on Automatic Control 60 (1), 265-270, 2014
Investigation of analysis methods for hyperpolarized 13C‐pyruvate metabolic MRI in prostate cancer patients
PEZ Larson, HY Chen, JW Gordon, N Korn, J Maidens, M Arcak, S Tang, ...
NMR in Biomedicine 31 (11), e3997, 2018
Optimizing flip angles for metabolic rate estimation in hyperpolarized carbon-13 MRI
J Maidens, JW Gordon, M Arcak, PEZ Larson
IEEE Transactions on Medical Imaging, 2016
Parallel dynamic programming for optimal experiment design in nonlinear systems
J Maidens, A Packard, M Arcak
2016 IEEE 55th Conference on Decision and Control (CDC), 2894-2899, 2016
Simulation-based reachability analysis for nonlinear systems using componentwise contraction properties
M Arcak, J Maidens
Principles of Modeling, 61-76, 2018
Semidefinite relaxations in optimal experiment design with application to substrate injection for hyperpolarized MRI
J Maidens, M Arcak
2016 American Control Conference (ACC), 2023-2028, 2016
Optimal experiment design for physiological parameter estimation using hyperpolarized carbon-13 magnetic resonance imaging
J Maidens, PEZ Larson, M Arcak
2015 American Control Conference (ACC), 5770-5775, 2015
Symmetry reduction for dynamic programming
J Maidens, A Barrau, S Bonnabel, M Arcak
Automatica 97, 367-375, 2018
Spatio-temporally constrained reconstruction for hyperpolarized carbon-13 MRI using kinetic models
J Maidens, JW Gordon, HY Chen, I Park, M Van Criekinge, E Milshteyn, ...
IEEE transactions on medical imaging 37 (12), 2603-2612, 2018
Prospective analysis of utility of signals from an ECG-enabled stethoscope to automatically detect a low ejection fraction using neural network techniques trained from the …
ZI Attia, J Dugan, J Maidens, A Rideout, F Lopez-Jimenez, ...
Circulation 140 (Suppl_1), A13447-A13447, 2019
An improvement to test case failure prediction in the context of test case prioritization
F Palma, T Abdou, A Bener, J Maidens, S Liu
Proceedings of the 14th International Conference on Predictive Models and …, 2018
Symmetry reduction for dynamic programming and application to MRI
J Maidens, A Barrau, S Bonnabel, M Arcak
2017 American Control Conference (ACC), 4625-4630, 2017
Global Lyapunov functions and a hierarchical control scheme for networks of robotic agents
J Maidens, MY Li
2013 American Control Conference, 4050-4055, 2013
Experimental results on the impact of memory in neural networks for spectrum prediction in land mobile radio bands
O Ozyegen, S Mohammadjafari, E Kavurmacioglu, J Maidens, AB Bener
IEEE Transactions on Cognitive Communications and Networking 6 (2), 771-782, 2019
Predicting commentaries on a financial report with recurrent neural networks
K El Mokhtari, J Maidens, A Bener
Canadian Conference on Artificial Intelligence, 531-542, 2019
Artificial intelligence detects pediatric heart murmurs with cardiologist-level accuracy
J Maidens, NB Slamon
Circulation 138 (Suppl_1), A12591-A12591, 2018
Exploiting symmetry for discrete-time reachability computations
J Maidens, M Arcak
IEEE Control Systems Letters 2 (2), 213-217, 2018
Trajectory-based reachability analysis of switched nonlinear systems using matrix measures
J Maidens, M Arcak
53rd IEEE Conference on Decision and Control, 6358-6364, 2014
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