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Publication	Type	Year
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography Machine Learning for Scientific Imaging 2022 Zhen Guo, Jung Ki Song, George Barbastathis, Courtenay T. Vaughan, Kurt W. Larson, Bradley K. Alpert, Zachary H. Levine, Michael Edwin Glinsky	Conference Paper – 2021 Conference Paper	2021
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography Machine Learning for Scientific Imaging 2022 Michael Edwin Glinsky, Zhen Guo, Jung Ki Song, George Barbastathis, Courtenay T. Vaughan, Kurt W. Larson, Bradley K. Alpert, Zachary H. Levine	Abstract – 2021 Abstract	2021
Feature detection and automation in Si MOS quantum dots toward automated qubit tuning Qcpr Andrew Mounce, Cara Patricia Monical, Phillip J. Lewis, Noah Tobias Jacobson, Ryan Michael Jock, John Anthony Anderson, Joel R. Wendt, Tammy Pluym, Daniel Robert Ward, Kurt W. Larson, Michael Lilly, Dwight Ryan Luhman https://www.osti.gov/search/identifier:1641108	Conference Paper – 2019 Conference Paper	2019
Image Analysis, Automation, and Machine Learning Techniques Applied to MOS Quantum Dot Tune-Up Si Workshop 2018 Andrew Mounce, Phillip J. Lewis, Cara Patricia Monical, Noah Tobias Jacobson, Martin Rudolph, John Andersen, Joel R. Wendt, Tammy Pluym, Daniel Robert Ward, Kurt W. Larson, Michael Lilly, Malcolm S. Carroll https://www.osti.gov/search/identifier:1639196	Conference Paper – 2019 Conference Paper	2019
Implementing Wide Baseline Matching Algorithms on a Graphics Processing Unit Daniel S. Myers, Antonio Gonzales, Fredrick Rothganger, Kurt W. Larson https://www.osti.gov/search/identifier:921737	SAND Report – 2007 SAND Report	2007
Document Title	Type	Year