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SIAM Conference on Imaging Science (IS26)

 

 

About the Conference

This is the conference of the SIAM Activity Group on Imaging Science.

The interdisciplinary field of imaging science is undergoing rapid growth. New technologies capable of imaging objects and structures across an extraordinary range of scales, from the nanoscale to the astronomical, are continually being developed and refined. These advances have significantly expanded the reach of science and medicine, often in exciting and unexpected ways. At the same time, this progress has introduced new challenges related to the formation, acquisition, compression, transmission, and analysis of images. By their nature, these challenges span multiple disciplines, including physics, engineering, mathematics, biology, medicine, statistics, and data science. While the primary focus of this conference is on mathematical issues in imaging, related biomedical, geophysical, and engineering perspectives will also play an essential role.

The following meetings will be held jointly:
SIAM Conference on Imaging Science (IS26)
SIAM Conference on Mathematics of Data Science (MDS26)
SIAM International Conference on Data Mining (SDM26)

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Included Themes

  • Biomedical imaging
  • Compressed sensing and sparse representations
  • Deep learning and machine learning methods in imaging
  • High-dimensional data analysis
  • Image acquisition, formation, restoration, reconstruction, segmentation, and recognition
  • Inverse problems in imaging
  • Mathematics of visualization
  • Optimal transport
  • Optimization in imaging applications
  • PDEs and variational methods in image processing
  • Quantum computing
  • Statistical and data science aspects in image processing
  • Tensor algebra and its applications
  • Topological data analysis
  • Uncertainty quantification

Organizing Committee Co-Chairs

Weihong Guo

Case Western Reserve University, U.S.

Yifei Lou

University of North Carolina at Chapel Hill, U.S.

Organizing Committee

Aritra Bose

IBM, U.S.

Martin Burger

Deutsches Elektronen-Synchrotron DESY, Germany

Laurent Demanet

Massachusetts Institute of Technology, U.S.

Yiqiu Dong

Technical University of Denmark, Denmark

Misha Kilmer

Tufts University, U.S.

Rongjie Lai

Purdue University, U.S.

Jun Liu

Beijing Normal University, China

Dirk Lorenz

University of Bremen, Germany

Michael Wakin

Colorado School of Mines, U.S.

Yiming Ying

The University of Sydney, Australia

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Ways to Sponsor

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Ways to Exhibit

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Featured Lectures & Videos

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Funding Agency Support

SIAM and the Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation for supporting this conference.

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Attendees should abide by the SIAM Code of Conduct and other conference policies and guidelines. Read all of SIAM's conference guidelines and policies, including the Statement on Potentially Offensive Material.