Publications

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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