{"id":24,"date":"2025-05-20T02:56:39","date_gmt":"2025-05-20T02:56:39","guid":{"rendered":"https:\/\/thomasli.co\/?page_id=24"},"modified":"2025-05-20T21:26:26","modified_gmt":"2025-05-20T21:26:26","slug":"publication","status":"publish","type":"page","link":"https:\/\/thomasli.co\/?page_id=24","title":{"rendered":"Publication"},"content":{"rendered":"\n
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Research – Google Scholar Page<\/a><\/h1>\n\n\n\n
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\u25cf Z Todd, Li H et al. An Improved Collection Method of High-Resolution Pavement Images and Deep Learning Models for Pavement Distress Detection. Special Report – National Research Council, Transportation Research Board (2024)
\u25cf Li, H, and et. al. 3D Material Property Tomographic Reconstruction Using Near-Field Phase Retrieval for Dual-Energy Synchrotron X-ray Imaging, ICTMS (2024)
\u25cf H Li, and et. al. Equirectangular Image Data Detection, Segmentation and Classification of Varying Sized Traffic Signs: A Comparison of Deep Learning Methods, Sensors (2023)
\u25cf Li H, and et. al. 3D lidar point-cloud projection operator and transfer machine learning for effective road surface features detection and segmentation, The Visual Computer (2022)
\u25cf S Li, Li H and et. al. “Shallow U-Net deep learning approach for phase retrieval in propagation-based phase-contrast Imaging”, Proc. SPIE (2022)
\u25cf KA Maliszewski, Li H, and et. al. Dispersion-contrast imaging using machine learning, Optical Coherence Tomography and Coherence Domain Optical Methods (2022)
\u25cf KM Pavlov, Li H, and et. al. Directional dark-field implicit x-ray speckle tracking using an anisotropic-diffusion Fokker-Planck equation, Physical Review (2021)
\u25cf Alloo SJ, Li H, and et. al. Speckle-based x-ray dark-field tomography of an attenuating object, Developments in X-Ray Tomography (2021)
\u25cf Pavlov KM, Li H, and et. al. X-ray multi-modal intrinsic-speckle-tracking, Optics (2020)
\u25cf Li H, and et. al. \u2013 Quantitative material decomposition using linear iterative near-field phase retrieval dual-energy x-ray imaging Physics in Medicine & Biology (2020)
\u25cf Pavlov KM, Li H, and et. al. \u2013 Single-shot x-ray speckle-based imaging of a single-material object, Physical Review Applied (2020)
\u25cf Herbst L, Li T, and Steel M. \u2013 Quantifying the accuracy of ancestral state prediction in a phylogenetic tree under maximum parsimony, Journal of Mathematical Biology (2019).
\u25cf Li H, and et. al. \u2013 Linear Iterative Near-Field Phase Retrieval (LI-PR) for Multi-Energy X-ray Imaging and Material Discrimination, Journal of the Optical Society of America A (2018).
\u25cf Kingston A, Li H, and et. al. \u2013 Space-filling X-ray source trajectories for efficient scanning in large-angle cone-beam CT, IEEE Transactions on Computational Imaging (2018).
\u25cf Li H, and Candy R \u2013 Optimising Open-Pit Mining Using Multi-Grid Search, Modsim (2017).
\u25cf Bentley M, and Li H, and et. al. \u2013 Quantitative Cyber Risk Model and Optimal Mitigation, Modsim (2017).
\u25cf Li H, and et. al. \u2013 Linear Iterative Phase Retrieval for Dual-Energy X-ray Imaging, ICTMS (2017).
\u25cf Li H, and et. al. \u2013 Atomic Resolution Binary Tomography of Gold Nanorod Surface Morphology, ICTMS (2017).
\u25cf Kingston A, Li H, and et. al. \u2013 Optimised x-ray source scanning trajectories for iterative reconstruction in high cone-angle tomography, SPIE Optical Engineering (2016).
\u25cf Myers G, Li T, and et. al. \u2013 Rapidly-converging multigrid reconstruction of cone-beam tomographic data, SPIE Optical Engineering (2016).
\u25cf Li H, and et. al. \u2013 3D X-Ray Source Deblurring in High Cone-Angle Micro-CT, IEEE Transaction on Nuclear Science (2015).
\u25cf Li H, and et. al. \u2013 Improving spatial-resolution in high cone-angle micro-CT by source deblurring, Developments in X-Ray Tomography IX (2014).
\u25cf Kingston A, Li H, and et. al. \u2013 Fourier inversion of the mojette transform, 18th IAPR International Conference, Lecture Notes in Computer Science (LNCS): DGCI 2014 8668 (2014).
\u25cf Mooers A, Li H, and et. al. \u2013 Branch lengths on birth-death trees and the expected loss of phylogenetic diversity, Systematic biology (2012).<\/p>\n\n\n\n

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