Forward modelling of magnetic induction tomography: a sensitivity study for detecting haemorrhagic cerebral stroke. - Massoud Zolgharni; Paul D. Ledger; H. Griffiths (Medical Biol. Eng. Comput., 2009)

An Explicit Formula for the Magnetic Polarizability Tensor for Object Characterization. - Paul D. Ledger; William R. B. Lionheart (IEEE Trans. Geosci. Remote. Sens., 2018)

Accelerating magnetic induction tomography-based imaging through heterogeneous parallel computing. - David W. Walker; Stephan C. Kramer; Fabian R. A. Biebl; Paul D. Ledger; Malcolm Brown (Concurr. Comput. Pract. Exp., 2019)

Efficient Computation of the Magnetic Polarizability Tensor Spectral Signature using POD. - B. A. Wilson; Paul D. Ledger (CoRR, 2020)

Identification of Metallic Objects using Spectral MPT Signatures: Object Characterisation and Invariants. - Paul D. Ledger; B. A. Wilson; A. A. S. Amad; William R. B. Lionheart (CoRR, 2020)

Accurate Benchmark Computations of the Polarizability Tensor for Characterising Small Conducting Inclusions. - A. A. S. Amad; Paul D. Ledger; Timo Betcke; Dirk Praetorius (CoRR, 2021)

Identification of Metallic Objects using Spectral Magnetic Polarizability Tensor Signatures: Object Classification. - B. A. Wilson; Paul D. Ledger; William R. B. Lionheart (CoRR, 2021)

A Study on the Magnetic Polarizability Tensors of Minimum Metal Anti-Personnel Landmines. - Toykan Özdeger; Paul D. Ledger; Anthony J. Peyton (I2MTC, 2022)

Minimal Object Characterisations using Harmonic Generalised Polarizability Tensors and Symmetry Groups. - Paul D. Ledger; William R. B. Lionheart (CoRR, 2022)

Minimal Object Characterizations Using Harmonic Generalized Polarizability Tensors and Symmetry Groups. - Paul D. Ledger; William R. B. Lionheart (SIAM J. Appl. Math., 2022)

Improved Efficiency and Accuracy of the Magnetic Polarizability Tensor Spectral Signature Object Characterisation for Metal Detection. - James Elgy; Paul D. Ledger (CoRR, 2023)

Reduced order model approaches for predicting the magnetic polarizability tensor for multiple parameters of interest. - James Elgy; Paul D. Ledger (Eng. Comput., 2023)

Reduced order modelling using neural networks for predictive modelling of 3d-magneto-mechanical problems with application to magnetic resonance imaging scanners. - Sayed Miah; Yashwanth Sooriyakanthan; Paul D. Ledger; Antonio J. Gil; Michael Mallett (Eng. Comput., 2023)

How far are two symmetric matrices from commuting? With an application to object characterisation and identification in metal detection. - Paul D. Ledger; William R. B. Lionheart; James Elgy (CoRR, 2025)