Direct high-order edge-preserving regularization for tomographic image reconstruction. - Daniil Kazantsev; Evgueni Ovtchinnikov; William R. B. Lionheart; Philip J. Withers; Peter D. Lee (CoRR, 2015)

Quantifying and minimising systematic and random errors in X-ray micro-tomography based volume measurements. - Qingyang Lin; S. J. Neethling; Katherine J. Dobson; L. Courtois; Peter D. Lee (Comput. Geosci., 2015)

An Iterative CT Reconstruction Algorithm for Fast Fluid Flow Imaging. - Geert Van Eyndhoven; Kees Joost Batenburg; Daniil Kazantsev; Vincent Van Nieuwenhove; Peter D. Lee; Katherine J. Dobson; Jan Sijbers (IEEE Trans. Image Process., 2015)

Sparsity seeking total generalized variation for undersampled tomographic reconstruction. - Daniil Kazantsev; Evgueni Ovtchinnikov; Philip J. Withers; William R. B. Lionheart; Peter D. Lee (ISBI, 2016)

A Novel Tomographic Reconstruction Method Based on the Robust Student's t Function For Suppressing Data Outliers. - Daniil Kazantsev; Folkert Bleichrodt; Tristan van Leeuwen; Anders Kaestner; Philip J. Withers; Kees Joost Batenburg; Peter D. Lee (IEEE Trans. Computational Imaging, 2017)

Enabling three-dimensional densitometric measurements using laboratory source X-ray micro-computed tomography. - M. J. Pankhurst; R. Fowler; L. Courtois; S. Nonni; F. Zuddas; R. C. Atwood; Graham R. Davis; Peter D. Lee (SoftwareX, 2018)

Detection and Tracking Volumes of Interest in 3D Printed Tissue Engineering Scaffolds using 4D Imaging Modalities. - Achintha Iroshan Kondarage; Buddhika Gayani; Gowsihan Poologasundarampillai; Amy Nommeots-Nomm; Peter D. Lee; Thilina Dulantha Lalitharatne; Nuwan D. Nanayakkara; Julian R. Jones; Angelo Karunaratne (EMBC, 2021)

Variance Stabilised Optimisation of Neural Networks: A Case Study in Additive Manufacturing. - Scott V. Notley; Yunhui Chen; Peter D. Lee; George Panoutsos (IJCNN, 2021)

Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging. - Ekin Yagis; Shahab Aslani; Yashvardhan Jain; Yang Zhou; Shahrokh Rahmani; Joseph Brunet; Alexandre Bellier; Christopher Werlein; Maximilian Ackermann; Danny Jonigk; Paul Tafforeau; Peter D. Lee; et al. (CoRR, 2023)