Applications for this meeting must be submitted by May 11, 2014. Please apply early, as some meetings become oversubscribed (full) before this deadline. If the meeting is oversubscribed, it will be stated here. Note: Applications for oversubscribed meetings will only be considered by the Conference Chair if more seats become available due to cancellations.
Applications to attend Image Science 2014 are being accepted now. Notifications of acceptances will be sent beginning on February 12, 2014. Plan to present a poster describing your original research at the conference. All attendees are encouraged to participate in the meeting through poster presentations.
Limited funding is expected to be available for scholarships. Preference will be given to students, post-docs, and young investigators, especially those presenting posters at the meeting. To ensure consideration for a scholarship, please include the following information in the activities section of the meeting application: 1) personal statement regarding your anticipated contributions to the 2014 Image Science GRC information, and 2) if applicable, information to justify determination of young investigator status.
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.
A list of preliminary session topics and speakers is displayed below (discussion leaders, where known, are noted in italics). The detailed program is currently being developed by the Conference Chair and will be available by February 8, 2014. Please check back for updates.
- Methodologies and Observers for Objective Assessment of Image Quality
(Craig Abbey / J. Chris Dainty / Harrison Barrett)
- Use of Object Models and Priors in Imaging
(Michael Insana / Jim Duncan / Jeff Fessler / Alan Yuille)
- Task-based Design of Imaging Systems
(Jannick Rolland / Eric Frey / Eric Clarkson)
- Imaging in Four or More Dimensions
(Robert Guenther / Tim Schultz / Richard Leahy / John Gore)
- Extraction of Information from Multiple Time Points and Imaging Platforms
(Joseph (Jody) A. O’Sullivan / Christine de Mol / Paul Carson)
- Adaptive Imaging
(Jack Hoppin / Matt Kupinski / Stefano Soatto / Olivier Guyon)
- Compressive and Coded Sensing Systems
(Ravi Athale / Lawrence Carin / Amit Ashok)
- Image Science in Astronomy
(Peter Lawson / Peter Tuthill / Laurent Pueyo / Matthew Kenworthy)
- Unconventional imaging
(Ramesh Raskar / Jim Fienup / David Brady)