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 | 168 | 2013 |
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 | 105 | 2018 |
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 | 82 | 2012 |
Deep learning algorithm for automated cardiac murmur detection via a digital stethoscope platform JS Chorba, AM Shapiro, L Le, J Maidens, J Prince, S Pham, MM Kanzawa, ... Journal of the American Heart Association 10 (9), e019905, 2021 | 79 | 2021 |
Reachability analysis of nonlinear systems using matrix measures J Maidens, M Arcak IEEE Transactions on Automatic Control 60 (1), 265-270, 2014 | 71 | 2014 |
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 | 46 | 2016 |
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 | 26 | 2018 |
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 | 16 | 2019 |
Automated detection of low ejection fraction from a one-lead electrocardiogram: application of an AI algorithm to an electrocardiogram-enabled Digital Stethoscope ZI Attia, J Dugan, A Rideout, JN Maidens, S Venkatraman, L Guo, ... European Heart Journal-Digital Health 3 (3), 373-379, 2022 | 15 | 2022 |
Methods and systems for determining a physiological or biological state or condition of a subject S Venkatraman, J Maidens, A Shapiro, J Prince, SL Pham, C Landgraf US Patent App. 17/187,344, 2021 | 15 | 2021 |
Symmetry reduction for dynamic programming J Maidens, A Barrau, S Bonnabel, M Arcak Automatica 97, 367-375, 2018 | 15 | 2018 |
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 | 15 | 2016 |
Simulation-based reachability analysis for nonlinear systems using componentwise contraction properties M Arcak, J Maidens Principles of Modeling: Essays Dedicated to Edward A. Lee on the Occasion of …, 2018 | 12 | 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 | 12 | 2016 |
Exploiting symmetry for discrete-time reachability computations J Maidens, M Arcak IEEE Control Systems Letters 2 (2), 213-217, 2018 | 11 | 2018 |
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 | 11 | 2015 |
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 | 10 | 2019 |
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 | 9 | 2018 |
Global Lyapunov functions and a hierarchical control scheme for networks of robotic agents J Maidens, MY Li 2013 American Control Conference, 4050-4055, 2013 | 8 | 2013 |
Methods and systems for determining a physiological or biological state or condition of a subject C Landgraf, J Maidens, S Venkatraman, A Shapiro, SL Pham US Patent App. 17/269,974, 2021 | 6 | 2021 |