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Machine Learning for Scientific Imaging 2022

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Marc Louis Klasky, Jong Chul Ye:
Machine Learning for Scientific Imaging 2022, online, January 15-26, 2022. Society for Imaging Science and Technology 2022

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Machine Learning for Scientific Imaging 2022 Conference Overview and Papers Program.

Article

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Zhen Guo, Jung Ki Song, George Barbastathis, Michael E. Glinsky, Courtenay T. Vaughan, Kurt W. Larson, Bradley K. Alpert, Zachary H. Levine:
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography. 1-6
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Siavash Norouzi, James J. D. Luis, Ramyaa Ramyaa, John S. Young, Eugene B. Seneta, Morteza Darvish Morshedi Hosseini, Edgar R. Ligon:
CNN to mitigate atmospheric turbulence effect on Shack-Hartmann Wavefront Sensing: A case study on the Magdalena Ridge Observatory Interferometer. 1-6

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