@Article{tsai:titb08,
  author =	 {Chia-Ling Tsai and Benjamin Madore and Matthew Leotta
              and \textbf{Michal Sofka} and Gehua Yang and Anna Majerovics
              and Howard L.\ Tanenbaum and Charles V.\ Stewart and Badrinath Roysam},
  title =	 {Automated Retinal Image Analysis over the Internet},
  journal =	 {IEEE Transactions on Information Technology in Biomedicine},
  year =     2008,
  volume =   12,
  number =   4,
  pages =    {480--487},
  month =    jul,
  abstract =	 {Retinal clinicians and researchers make extensive
                  use of images, and the current emphasis is on
                  digital imaging of the retinal fundus. The goal of
                  this paper is to introduce a system, known as RIVERS
                  (Retinal Image Vessel Extraction and Registration
                  System), which provides the community of retinal
                  clinicians, researchers, and study directors an
                  integrated suite of advanced digital retinal image
                  analysis tools over the Internet. The capabilities
                  include vasculature tracing and morphometry, joint
                  (simultaneous) montaging of multiple retinal fields,
                  cross-modality registration (color/red-free fundus
                  photographs, and fluorescein angiograms), and
                  generation of flicker animations for visualization
                  of changes from longitudinal image sequences. Each
                  capability has been carefully-validated in our
                  previous research work. The integrated
                  internet-based system can enable significant
                  advances in retina-related clinical diagnosis,
                  visualization of the complete fundus at full
                  resolution from multiple low-angle views, analysis
                  of longitudinal changes, research on the retinal
                  vasculature, and objective, quantitative
                  computer-assisted scoring of clinical trials
                  imagery. It could pave the way for future screening
                  services from optometry facilities.},
  url =		 {http://www.vision.cs.rpi.edu/RIVERS/}
}