| Unraveling pore evolution in post-processing of binder jetting materials: X-ray computed tomography, computer vision, and machine learning Y Zhu, Z Wu, WD Hartley, JM Sietins, CB Williams, ZY Hang Additive Manufacturing 34, 101183, 2020 | 58 | 2020 |
| Quantitative 3D structural analysis of the cellular microstructure of sea urchin spines (I): Methodology T Yang, Z Wu, H Chen, Y Zhu, L Li Acta Biomaterialia 107, 204-217, 2020 | 26 | 2020 |
| Heterogeneous materials design in additive manufacturing: Model calibration and uncertainty-guided model selection D Garcia, Z Wu, JY Kim, ZY Hang, Y Zhu Additive Manufacturing 27, 61-71, 2019 | 24 | 2019 |
| High strength and damage-tolerance in echinoderm stereom as a natural bicontinuous ceramic cellular solid T Yang, Z Jia, Z Wu, H Chen, Z Deng, L Chen, Y Zhu, L Li Nature Communications 13 (1), 6083, 2022 | 22 | 2022 |
| Single-frame label-free cell tomography at speed of more than 10,000 volumes per second B Ge, Y He, M Deng, MH Rahman, Y Wang, Z Wu, CHN Wong, MK Chan, ... arXiv preprint arXiv:2202.03627, 2022 | 17 | 2022 |
| Quantitative 3D structural analysis of the cellular microstructure of sea urchin spines (II): Large-volume structural analysis H Chen, T Yang, Z Wu, Z Deng, Y Zhu, L Li Acta Biomaterialia 107, 218-231, 2020 | 14 | 2020 |
| Robust X-ray sparse-view phase tomography via hierarchical synthesis convolutional neural networks Z Wu, A Alorf, T Yang, L Li, Y Zhu arXiv preprint arXiv:1901.10644, 2019 | 12 | 2019 |
| Three-dimensional nanoscale reduced-angle ptycho-tomographic imaging with deep learning (RAPID) Z Wu, I Kang, Y Yao, Y Jiang, J Deng, J Klug, S Vogt, G Barbastathis eLight 3 (1), 7, 2023 | 9 | 2023 |
| Physics-informed neural network for phase imaging based on transport of intensity equation X Wu, Z Wu, SC Shanmugavel, ZY Hang, Y Zhu Optics Express 30 (24), 43398-43416, 2022 | 8 | 2022 |
| Automatic crack detection and analysis for biological cellular materials in X-ray in situ tomography measurements Z Wu, T Yang, Z Deng, B Huang, H Liu, Y Wang, Y Chen, MC Stoddard, ... Integrating Materials and Manufacturing Innovation 8, 559-569, 2019 | 7 | 2019 |
| Structured illumination-based phase retrieval via Generative Adversarial Network Z Wu, X Wu, Y Zhu Quantitative Phase Imaging VI 11249, 14-22, 2020 | 6 | 2020 |
| Hierarchical convolutional network for sparse-view X-ray CT reconstruction Z Wu, T Yang, L Li, Y Zhu Computational Imaging IV 10990, 141-146, 2019 | 5 | 2019 |
| Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time I Kang, Z Wu, Y Jiang, Y Yao, J Deng, J Klug, S Vogt, G Barbastathis Light: Science & Applications 12 (1), 131, 2023 | 4 | 2023 |
| Deep learning-based low-dose tomography reconstruction with hybrid-dose measurements Z Wu, T Bicer, Z Liu, V De Andrade, Y Zhu, IT Foster 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2020 | 4 | 2020 |
| Feature-based sparse angle tomography reconstruction for dynamic characterization of bio-cellular materials Z Wu, T Yang, L Li, Y Zhu Computational Imaging III 10669, 90-97, 2018 | 4 | 2018 |
| Learning a model-based neural network for quantitative phase imaging based on the transport of intensity X Wu, Z Wu, Y Zhu Computational Imaging V 11396, 16-24, 2020 | 2 | 2020 |
| Superresolution phase retrieval from non-sinusoidal structure illumination Z Wu, Y Zhu Imaging Systems and Applications, JTu5A. 21, 2017 | 2 | 2017 |
| Texture orientation-resolving imaging with structure illumination Z Wu, X Li, Y Zhu Computational Imaging II 10222, 116-121, 2017 | 2 | 2017 |
| On the use of deep learning for three-dimensional computational imaging G Barbastathis, S Pang, I Kang, Z Wu, Z Liu, Z Guo, F Zhang Practical Holography XXXVII: Displays, Materials, and Applications 12445 …, 2023 | 1 | 2023 |
| Photon-starved x-ray ptychographic imaging using spatial pyramid atrous convolution end-to-end reconstruction (ptychospacer) Z Wu, I Kang, T Zhou, V Coykendall, B Ge, MJ Cherukara, G Barbastathis Computational Optical Sensing and Imaging, CF1D. 6, 2022 | 1 | 2022 |
Yunhui ZhuVirginia TechVerified email at vt.edu
