Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics.

Abstract

Authors

• Rucha Deshpande
  Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States of America.
• Varun A Kelkar
  Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
• Dimitrios Gotsis
  Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
• Prabhat Kc
  Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, Maryland.
• Rongping Zeng
  Center for Devices and Radiological Health, US Food and Drug Administration (FDA), Silver Spring, Maryland, USA.
• Kyle J Myers
  Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, Food and Drug Administration (FDA), Silver Spring, MD, USA.
• Frank J Brooks
  Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States of America.
• Mark A Anastasio
  Department of Biomedical Engineering, Washington University, St. Louis, MO 63110, USA.

Keywords

External Resources