Projects per year
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Dive into the research topics where Jason W. Fleischer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Phase Adaptation for Estimating Optical Nexus (PAEON)
Defense Advanced Research Projects Agncy
9/4/20 → 3/3/22
Project: Research project
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DURIP Improved Imaging of Scatter, Speckle, and Turbulence
Air Force Office of Scientific Research
5/15/19 → 5/14/22
Project: Research project
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Phase Retrieval and Nonlinear Dynamical Systems
Air Force Office of Scientific Research
3/1/18 → 2/28/23
Project: Research project
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Dynamical Imaging in Phase Space
Air Force Office of Scientific Research
7/1/14 → 6/30/17
Project: Research project
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Spatial wavefront control in classical and quantum optics
Air Force Office of Scientific Research
3/15/12 → 3/14/16
Project: Research project
Research output
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Ultrahigh-Resolution, Label-Free Hyperlens Imaging in the Mid-IR
He, M., Iyer, G. R. S., Aarav, S., Sunku, S. S., Giles, A. J., Folland, T. G., Sharac, N., Sun, X., Matson, J., Liu, S., Edgar, J. H., Fleischer, J. W., Basov, D. N. & Caldwell, J. D., Oct 13 2021, In: Nano Letters. 21, 19, p. 7921-7928 8 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Dynamics of the Berezinskii–Kosterlitz–Thouless transition in a photon fluid
Situ, G. & Fleischer, J. W., Aug 1 2020, In: Nature Photonics. 14, 8, p. 517-522 6 p.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
Late Breaking Abstract - Identifying and phenotyping COVID-19 patients using machine learning on chest x-rays
Fleischer, J. & Islam, M. T., Sep 7 2020.Research output: Contribution to conference › Paper › peer-review
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When deep denoising meets iterative phase retrieval
Wang, Y., Sun, X. & Fleischer, J. W., Mar 3 2020, In: arXiv.Research output: Contribution to journal › Article › peer-review
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When deep denoising meets iterative phase retrieval
Wang, Y., Sun, X. & Fleischer, J. W., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 9949-9959 11 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-13).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations