Machine Learning for Scientific Imaging

Keyphrases

Publications

2022

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. Machine Learning for Scientific Imaging (2022)
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. Machine Learning for Scientific Imaging (2022)
Machine Learning for Scientific Imaging 2022, online, January 15-26, 2022 Machine Learning for Scientific Imaging (2022)
Machine Learning for Scientific Imaging 2022 Conference Overview and Papers Program. Machine Learning for Scientific Imaging (2022)