Philip J. Withers

Orcid: 0000-0002-1946-5647

Affiliations:
  • University of Manchester, UK


According to our database1, Philip J. Withers authored at least 15 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Digital Fingerprinting of Microstructures.
CoRR, 2022

2021
Characterization of Rolling Contact Fatigue Cracks in Rails by Eddy Current Pulsed Thermography.
IEEE Trans. Ind. Informatics, 2021

Core Imaging Library - Part II: Multichannel reconstruction for dynamic and spectral tomography.
CoRR, 2021

Core Imaging Library - Part I: a versatile Python framework for tomographic imaging.
CoRR, 2021

2020
pyCM: An open-source computational framework for residual stress analysis employing the Contour Method.
SoftwareX, 2020

2019
CCPi-Regularisation toolkit for computed tomographic image reconstruction with proximal splitting algorithms.
SoftwareX, 2019

2018
TomoPhantom, a software package to generate 2D-4D analytical phantoms for CT image reconstruction algorithm benchmarks.
SoftwareX, 2018

2017
A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers.
IEEE Trans. Computational Imaging, 2017

2016
Post-processing techniques for making reliable measurements from curve-skeletons.
Comput. Biol. Medicine, 2016

Sparsity seeking total generalized variation for undersampled tomographic reconstruction.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Direct high-order edge-preserving regularization for tomographic image reconstruction.
CoRR, 2015

2013
Application of Micro-Computed Tomography With Iodine Staining to Cardiac Imaging, Segmentation, and Computational Model Development.
IEEE Trans. Medical Imaging, 2013

2010
An analytical formula for ring artefact suppression in X-ray tomography.
Appl. Math. Lett., 2010

2009
Noncontact Characterization of Carbon-Fiber-Reinforced Plastics Using Multifrequency Eddy Current Sensors.
IEEE Trans. Instrum. Meas., 2009

2008
Using augmented reality to promote an understanding of materials science to school children.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2008


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