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Image Science
Gordon Research Conference

Conference Information

Status

New

Initial Year

2014

Discipline

Physical

Categories

Meeting Cycle

24 Months

Conference Description

The tremendous pace of innovation in imaging technologies offers society a tantalizing array of potential methods for understanding the underlying mechanisms of disease progression, climate change, agricultural conditions, and the evolution of distant galaxy systems, to name just a few application areas. Imaging is enabling less invasive and more effective interventions in medicine, and improved clinical trial methodologies for determining therapeutic efficacy of new compounds faster and with fewer patients on experimental regimens. In other application areas, imaging methods are being advanced to address national security needs, to track environmental states, and to search for planets that have the potential to support life. While the application areas seeking imaging solutions are broad and varied, they are tied together by common technical issues related to the enormity of the data sets generated by modern imaging systems and the unique issues associated with the evaluation of imaging devices for their objective comparison and optimization.

More powerful tools and assessment strategies are needed for accurate and objective evaluation of emerging imaging technologies with fewer resources. These tools must include accurate computational models of the entire imaging chain: models for the objects at the front end of the systems, models of the physics of the image formation process, and, finally, the process by which inferences are optimally drawn from the resulting data sets. Imaging data sets can be extremely large, containing information in space, time, wavelength or energy, and possibly other dimensions as well. Tools for the rigorous, objective, quantitative evaluation of the entire chain, from objects to images to observers (human or machine algorithm) need to be advanced and promulgated to allow for comparisons of effectiveness of new imaging strategies under development. This Gordon Research Conference will provide a unique venue bringing together an interdisciplinary array of scientists with expertise in the fundamental mathematics and physics of imaging systems, computational modeling of imaging processes, and the multivariate statistical methods needed for analyzing "big data" to accelerate the pace of imaging-system development, evaluation, and adoption for maximum impact on public health and society as a whole.

What is a GRC? Gordon Research Conferences (GRC) are 5-day meetings that bring scientists together from around the world to present and discuss unpublished research with other leaders in their field.

Related Conference

This Gordon Research Conference (GRC) series is related to the "Image Science" Gordon Research Seminar (GRS) series. Although a related GRS will typically be scheduled in conjunction with its parent GRC each time it meets, that may not always be the case. Refer to the individual meetings in the Meeting History section below for more details. For more information about the associated Gordon Research Seminar (GRS) series, click here.

What is a GRS? Gordon Research Seminars (GRS) are 2-day meetings that bring graduate students and post-docs together to discuss their cutting edge research among peers and mentors. Each GRS immediately precedes an associated Gordon Research Conference (GRC), and topics addressed at the GRS relate closely to the GRC.

Meeting History

YearMeeting NameDatesConference SiteChair(s)
2018 Image Science
Creating Knowledge from Imaging Data
Jun 17-22 Stonehill College Michael Insana
2016 Image Science
Image Science in Sequence: From Detection to Decision
Jun 5-10 Stonehill College Richard G. Paxman
2014 Image Science
Accelerating the Pace of System Design and Task-Based Evaluation
Jun 8-13 Stonehill College Kyle J. Myers
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