Research

Research Interests

• Statistical signal and image processing

• Machine learning

• Inverse problems in imaging

• Uncertainty quantification

• Medical image and signal analysis

• Computer vision

• Compressed sensing

Tools and Methods

• Stochastic-based methods

• Bayesian inference and hierarchical Bayesian models

• Markov chain Monte Carlo (MCMC) Methods

• Optimisation-based methods

• Variational inference

• Sparse representation and dictionary learning

Applications

• Medical imaging

• Defence

• Remote sensing

Problems

• Microglial image analysis

• Joint image reconstruction and uncertainty quantification in MRI

• Image quality transfer/super resolution in low-field MRI

• Joint activity estimation and uncertainity quantification in passive Gamma emission tomography

• Iron overload quantification using MRI

• Pulmonary imaging using fibred optical endomicroscopy: detection of fluorescently labelled bacteria, deconvolution of optical endomicroscopy images and non-linear interpolation using Gaussian process regression

• Head and neck cancers imaging using diffuse reflectance spectroscopy

Research Group

• Current students

  • Shuo Han and David Farinha Matos - MSc - University of Exeter

• Former supervised students

  • {Mariya Hirna; Eden Ruffell;  Jiongqi Qu; Meghana Somepalli; Tianxi Wen, Luis Perez Lombardia} – MSc – University College London

  • Alberto Aleman Munoz – MSc – Heriot-Watt University

Collaborations

• Prof. Daniel C. Alexander – University College London, UK

• Prof. Mike Davies – The university of Edinburgh, UK

• Prof. Yves Wiaux – Heriot-Watt University, UK

• Prof. Stephen McLaughlin – Heriot-Watt University, UK

• Dr. Yoann Altmann – Heriot-Watt University, UK

• Prof. Franck Marzani – Universite de Bourgogne, France

• Dr. Yannick Benezeth – Universite de Bourgogne, France

• Prof. Alexis Bozorg Grayeli – Hospital of Dijon, France

• Prof. Ayman M. Khalifa – Helwan University, Egypt

• Prof. El-Sayed H. Ibrahim – University of Michigan, USA