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Name: John Maidens
Type: User
Location: Berkeley, CA
Name: John Maidens
Type: User
Location: Berkeley, CA
Code to reproduce figures from the paper "Exploiting symmetry for discrete-time reachability computations" by John Maidens and Murat Arcak
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
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
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
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
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
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.
Code to perform numerical benchmarks for optimal experiment design using dynamic programming
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.
Code to reproduce figures from the paper "Simulation-based reachability analysis for nonlinear systems using componentwise contraction properties" by Murat Arcak and John Maidens
Tools for designing optimal flip angle schemes for hyperpolarized carbon-13 MRI
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.
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.
My webpage at maidens.github.io
Audio source separation in python using MUSIC
A simple convolutional neural network solution to the PhysioNet abnormal heart sound classification challenge
Search functionality and front end for Alameda County property records
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
Beamer template with University of British Columbia (UBC) theme
Native Python WFDB package
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.