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LWFIT code for GABA quantification from MEGA-PRESS magnetic resonance spectra (MRS).

Monte Carlo robustness analysis of static controllers obtained using various gradient and gradient-free control algorithms.

Energy landscape controllers dataset for XX-coupled spin rings and robustness analysis code. Results of the robustness analysis are in Results - Energy Landscape Controllers for XX Spin Rings - Robustnes.

MRSNet model data of best models.

This data set contains the results of applying optimal control of information propagation in networks of spin-1/2 particles with uniform nearest neighbor XX-couplings forming a ring with a single excitation in the network as simple prototype of a router for spin-based information.

Robustness analysis results for energy landscape controllers dataset in Data - Energy Landscape Controllers for XX Spin Rings. Controllers and dataset in the other repository has been used to generate the analysis results here.

Code and data for differential sensitivity bounds for dynamic control used in "Robustness of Dynamic Quantum Control: Differential Sensitivity Bounds".

Code to compare log sensitivity and RIM robustness measures of energy landscape controllers. Results of running this code are at https://qyber.black/spinnet/results-robustness-of-energy-landscape-control-sensitivity-vs-rim

Results of comparing log sensitivity and RIM robustness measures of energy landscape controllers. Generated by https://qyber.black/spinnet/code-robustness-of-energy-landscape-control-sensitivity-vs-rim

A set of utilities to deal with dicom files and data repositories.

Code for brain cancer segmentation.

Project Allocation & Tracking System for individual final year projects. Issues related to this code can be submitted to gitlab+xis10z-code-pats-118-issue- at the site's domain qyber.black.

Prostate cancer segmentation and classification with machine learning.

Trained PCANet models for classification.

Matlab code for quantum spin-1/2 networks. It provides code to analyse the geometry of such networks, and some basic quantum control and characterisation code.

Results of brain cancer segmentation using LATUPNet.

MR spectral quantification using convoloutional neural networks.

MRSNet simulated spectra data.

Magnetic resonance spectroscopy data for a series of phantoms specifically designed to provide ground truth data for MEGAPRESS spectra quantification.

Information about the magnetic resonance spectroscopy projects and summary of published results.