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John Maidens's Projects

2017-lcss icon 2017-lcss

Code to reproduce figures from the paper "Exploiting symmetry for discrete-time reachability computations" by John Maidens and Murat Arcak

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Code to generate figures from the paper "Global Lyapunov functions and a hierarchical control scheme for networks of robotic agents" by John Maidens, and Michael Y. Li, submitted to the 2013 American Control Conference

acc-2015 icon acc-2015

Code to generate figures from the paper "Optimal experiment design for physiological parameter estimation using hyperpolarized carbon-13 magnetic resonance spectroscopy" by John Maidens, Peder E. Z. Larson and Murat Arcak

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Code to generate figures from the paper "Semidefinite relaxations in optimal experiment design with application to substrate injection for hyperpolarized MRI" by John Maidens and Murat Arcak

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Code to generate figures from the paper "Symmetry reduction for dynamic programming" by John Maidens, Axel Barrau, Silvère Bonnabel, and Murat Arcak, submitted to the 2017 American Control Conference

automatica-2013 icon automatica-2013

Supplementary materials for the paper: "Lagrangian methods for approximating the viability kernel in high-dimensional systems" by John Maidens, Shahab Kaynama, Ian M. Mitchell, Meeko M. K. Oishi, and Guy A. Dumont

automatica-2017 icon automatica-2017

Jupyter notebooks with Julia code to reproduce figures from the paper "Symmetry reduction for dynamic programming" by John Maidens, Axel Barrau, Silvere Bonnabel, and Murat Arcak, submitted to Automatica.

cdc-2016 icon cdc-2016

Code to perform numerical benchmarks for optimal experiment design using dynamic programming

constrained-kinetics icon constrained-kinetics

Code to reproduce figures from the paper "Spatio-temporally constrained reconstruction for hyperpolarized carbon-13 MRI using kinetic models" by John Maidens, Jeremy Gordon, Murat Arcak and Peder Larson.

edward-a-lee-festschrift-2017 icon edward-a-lee-festschrift-2017

Code to reproduce figures from the paper "Simulation-based reachability analysis for nonlinear systems using componentwise contraction properties" by Murat Arcak and John Maidens

hyperpolarized-mri-toolbox icon hyperpolarized-mri-toolbox

The goal of this toolbox is to provide research-level and prototyping software tools for hyperpolarized MRI experiments. It is currently based on MATLAB code, and includes code for designing radiofrequency (RF) pulses, readout gradients, and data reconstruction.

ismrm-2017 icon ismrm-2017

Code to generate figures from the abstract "Spatio-temporally constrained reconstruction for hyperpolarized carbon-13 MRI using kinetic models" by John Maidens, Jeremy Gordon, Murat Arcak, and Peder Larson, submitted to the proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting 2017.

physionet-2016 icon physionet-2016

A simple convolutional neural network solution to the PhysioNet abnormal heart sound classification challenge

tmi-2015 icon tmi-2015

Code to generate figures from the paper "Optimizing flip angle sequences for metabolic rate estimation in hyperpolarized carbon-13 magnetic resonance imaging experiments" by John Maidens, Murat Arcak, Jeremy Gordon and Peder Larson submitted to IEEE Transactions on Medical Imaging

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