Lei Tian
Orcid: 0000-0002-1316-4456Affiliations:
- Boston University, MA, USA
- University of California Berkeley, CA, USA (2013 - 2016)
- Massachusetts Institute of Technology, Cambridge, MA, USA (PhD 2013)
According to our database1,
Lei Tian authored at least 16 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on scopus.com
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on publons.com
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on orcid.org
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on sites.bu.edu
On csauthors.net:
Bibliography
2026
DeepFilters: Scattering-Aware Pupil Engineering with Learned Digital Filter Reconstruction for Extended Depth of Field Microscopy.
CoRR, May, 2026
IEEE Trans. Computational Imaging, 2026
2025
Age-informed, attention-based weakly supervised learning for neuropathological image assessment.
Brain Informatics, December, 2025
2023
Local Conditional Neural Fields for Versatile and Generalizable Large-Scale Reconstructions in Computational Imaging.
CoRR, 2023
2022
Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields.
Nat. Mac. Intell., September, 2022
2021
Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements.
CoRR, 2021
2020
IEEE J. Sel. Top. Signal Process., 2020
Model and learning-based computational 3D phase microscopy with intensity diffraction tomography.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Convolutional neural network for Fourier ptychography video reconstruction: learning temporal dynamics from spatial ensembles.
CoRR, 2018
2017
Computational microscopy: illumination coding and nonlinear optimization enables Gigapixel 3D phase imaging.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Nonlinear Optimization Algorithm for Partially Coherent Phase Retrieval and Source Recovery.
IEEE Trans. Computational Imaging, 2016
CoRR, 2016
2015
CoRR, 2015
2014
Non-uniform sampling and Gaussian process regression in transport of intensity phase imaging.
Proceedings of the IEEE International Conference on Acoustics, 2014