Anaheim Convention Center
Anaheim, California, United States
26 - 30 April 2020
Conference SI201
Anomaly Detection and Imaging with X-Rays (ADIX) V
Important
Dates
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Abstract Due:
16 October 2019

Author Notification:
20 December 2019

Manuscript Due Date:
1 April 2020

Conference
Committee
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Conference Chairs
Program Committee
  • Mark A. Anastasio, Washington Univ. in St. Louis (United States)
  • Gonzalo R. Arce, Univ. of Delaware (United States)
  • Ali Bilgin, The Univ. of Arizona (United States)
  • Eric W. Clarkson, The Univ. of Arizona (United States)
  • Mini Das, Univ. of Houston (United States)
  • Edward D. Franco, Rapiscan Systems Labs. (United States)

Program Committee continued...
  • Christopher W. Gregory, Smiths Detection Inc. (United States)
  • Tim E. Harvey, EMF Corp. (United States)
  • Harry E. Martz, Lawrence Livermore National Lab. (United States)
  • Joseph A. O'Sullivan, Washington Univ. in St. Louis (United States)
  • Sean Pang, CREOL, The College of Optics and Photonics, Univ. of Central Florida (United States)
  • Lei Tian, Univ. of California, Berkeley (United States)
  • Laura Waller, Univ. of California, Berkeley (United States)
  • Sharene Young, U.S. Dept. of Homeland Security (United States)
  • Yunhui Zhu, Virginia Polytechnic Institute and State Univ. (United States)

Call for
Papers
X-ray imaging has its beginning in medical imaging. However, advances in x-ray component technology coupled with the exponential growth in computational capability has fueled the expansion of x-ray imaging to numerous defense and security applications. For example, x-ray based imaging system are now widely deployed at security checkpoints for explosive and contraband detection at airports, seaports, commercial and military building/installations. Another modern application of x-ray imaging is non-destructive part inspection for industrial and aviation safety. While the application base for x-ray based anomaly detection and imaging continues to grow the x-ray imaging system architecture, inspired by computed tomography (CT) for medical imaging, has remained largely unchanged. However, recently non-traditional x-ray imaging architectures and sophisticated post-processing algorithms have begun to emerge which leverage recent advances in mathematical theory of sampling (e.g. compressive sensing) together with increasing exploitation of available signal and task prior information. This conference provides an open forum for researchers from academia, industry and government to address current/future challenges by sharing latest advances in all aspects of x-ray based anomaly detection and imaging, ranging from component technology, reconstruction and data exploitation algorithms, imaging/sensing system architectures to system performance metrics and novel defense and security applications.
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