The ongoing revolution in imaging technologies provides society with a plethora of opportunities for collecting information contributing to a better understanding of the origin and progression of disease, the geophysical parameters that affect climate, the evolution of stars and planets, as well as the organization of transportation and industrial production. These imaging techniques take advantage of radiation from Megahertz to Gamma rays to explore objects that vary from single molecules to galaxies.
While the applications requiring imaging technologies are extensive and pervasive, the fundamental common principles share striking similarities that define Image Science: from sources to detectors, from contrast mechanisms to processing, from system models to propagation media, and from prior knowledge to the extraction of meaningful information. Another common aspect of modern imaging techniques relates the massive data sets generated and the emerging application of artificial intelligence to process them.
The 2020 Image Science Gordon Research Conference will provide a unique venue for scientists working in diverse areas to share their latest research and insights on these emergent areas common to Image Science.
All attendees are invited to submit abstracts on their work to be presented in several sessions during this 5-day conference. Significant financial support will be provided to qualified attendees to provide opportunities for young investigators and students and to encourage a diverse participation of image scientists.
The conference will consist of nine sessions, on the topics listed below. The conference chair is currently developing their preliminary program, which will include the names of the invited speakers and discussion leaders for each of these sessions. Please check back regularly for updates to this information.
- Information Extraction via Computational Imaging
- Quantum Imaging
- Artificial Intelligence in Image Science
- Inverse Problems and Machine Learning
- Multimodal and Biomedical Imaging
- Imaging in Emerging Consumer Applications
- Astronomical Imaging from Light-Years Away
- Eyes and Vision
- Young Investigator Presentations