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ORCIDPhilip J. Withers
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- affiliation: University of Manchester, UK
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2020 – today
- 2022
[i4]Michael D. White, Alexander Tarakanov, Christopher P. Race, Philip J. Withers, Kody J. H. Law:
Digital Fingerprinting of Microstructures. CoRR abs/2203.13718 (2022)- 2021
- [j9]Junzhen Zhu
, Philip John Withers, Jianbo Wu, Feng Liu, Qiuji Yi, Zijun Wang, Gui Yun Tian:
Characterization of Rolling Contact Fatigue Cracks in Rails by Eddy Current Pulsed Thermography. IEEE Trans. Ind. Informatics 17(4): 2307-2315 (2021) - [i3]Jakob Sauer Jørgensen, Evelina Ametova, Genoveva Burca, Gemma Fardell, Evangelos Papoutsellis, Edoardo Pasca, Kris Thielemans, Martin J. Turner, Ryan Warr, William R. B. Lionheart, Philip J. Withers:
Core Imaging Library - Part I: a versatile Python framework for tomographic imaging. CoRR abs/2102.04560 (2021) - [i2]Evangelos Papoutsellis, Evelina Ametova, Claire Delplancke, Gemma Fardell, Jakob Sauer Jørgensen, Edoardo Pasca, Martin J. Turner, Ryan Warr, William R. B. Lionheart, Philip J. Withers:
Core Imaging Library - Part II: Multichannel reconstruction for dynamic and spectral tomography. CoRR abs/2102.06126 (2021) - 2020
- [j8]Matthew J. Roy, Nikola Stoyanov, Richard J. Moat, Philip J. Withers:
pyCM: An open-source computational framework for residual stress analysis employing the Contour Method. SoftwareX 11: 100458 (2020)
2010 – 2019
- 2019
- [j7]Daniil Kazantsev, Edoardo Pasca, Martin J. Turner, Philip J. Withers:
CCPi-Regularisation toolkit for computed tomographic image reconstruction with proximal splitting algorithms. SoftwareX 9: 317-323 (2019) - 2018
- [j6]Daniil Kazantsev, Valery Pickalov, Srikanth Nagella, Edoardo Pasca, Philip J. Withers:
TomoPhantom, a software package to generate 2D-4D analytical phantoms for CT image reconstruction algorithm benchmarks. SoftwareX 7: 150-155 (2018) - 2017
- [j5]Daniil Kazantsev, Folkert Bleichrodt, Tristan van Leeuwen, Anders Kaestner, Philip J. Withers, Kees Joost Batenburg, Peter D. Lee:
A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers. IEEE Trans. Computational Imaging 3(4): 682-693 (2017) - 2016
- [j4]Robert S. Bradley, Philip J. Withers:
Post-processing techniques for making reliable measurements from curve-skeletons. Comput. Biol. Medicine 72: 120-131 (2016) - [c2]Daniil Kazantsev, Evgueni Ovtchinnikov, Philip J. Withers, William R. B. Lionheart, Peter D. Lee:
Sparsity seeking total generalized variation for undersampled tomographic reconstruction. ISBI 2016: 731-734 - 2015
- [i1]Daniil Kazantsev, Evgueni Ovtchinnikov, William R. B. Lionheart, Philip J. Withers, Peter D. Lee:
Direct high-order edge-preserving regularization for tomographic image reconstruction. CoRR abs/1509.04706 (2015) - 2013
- [j3]Oleg V. Aslanidi, Theodora Nikolaidou, Jichao Zhao, Bruce H. Smaill, Stephen H. Gilbert, Arun V. Holden, Tristan Lowe, Philip J. Withers, Robert S. Stephenson, Jonathan C. Jarvis, Jules C. Hancox, Mark R. Boyett, Henggui Zhang:
Application of Micro-Computed Tomography With Iodine Staining to Cardiac Imaging, Segmentation, and Computational Model Development. IEEE Trans. Medical Imaging 32(1): 8-17 (2013) - 2010
- [j2]Sofya Titarenko, Philip J. Withers, Anatoly Yagola:
An analytical formula for ring artefact suppression in X-ray tomography. Appl. Math. Lett. 23(12): 1489-1495 (2010)
2000 – 2009
- 2009
- [j1]Wuliang Yin, Philip J. Withers, Umesh Sharma, Anthony J. Peyton:
Noncontact Characterization of Carbon-Fiber-Reinforced Plastics Using Multifrequency Eddy Current Sensors. IEEE Trans. Instrum. Meas. 58(3): 738-743 (2009) - 2008
- [c1]Kevin T. W. Tan, Emma M. Lewis, Nick J. Avis, Philip J. Withers:
Using augmented reality to promote an understanding of materials science to school children. SIGGRAPH ASIA Educators Programme 2008: 2:1-2:8
Coauthor Index
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