@INPROCEEDINGS{Dolejsi-Biosignal2010,
  IS = { zkontrolovano 31 Jan 2011 },
  UPDATE  = { 2011-01-14 },
  note = 	{CD ROM},
  booktitle = 	{Analysis of Biomedical Signals and Images --- Proceedings of Biosignal 2010},
  author =	{Dolej{\v{s}}{\' i}, Martin and Kybic, Jan and 
                 Abr{\` a}moff, Michael D. and Sonka, Milan},
  title = 	{Semi-automated segmentation of {S}ymptomatic {E}xudate-{A}ssociated 
                 {D}erangements {(SEADs)} in {3D} {OCT} using layer segmentation},
  project =	{GACR 102/07/1317, MSM6840770012, 
                 NIH NIBIB R01-EB004640, NIH NEI R01-EY018853, 
                 Research to Prevent Blindness and the U.S. Dept. of Veterans Affairs},
  year =	{2010},
  month = 	{June},
  day = 	{27-29},
  publisher = 	{VUTIUM Press},
  address =	{Brno, Czech Republic},
  ISBN =	{978-80-214-4105-7},
  ISSN =	{1211-412X},
  book_pages =	{390},
  pages       = {1-6},
  venue =	{Brno, Czech Republic},
  annote   = { We present a novel two step method to segment retinal
   pathologies related to the so called wet age-related macular
   degeneration from 3D spectral optical coherence tomography
   images. In the first step we segment three retinal layers by an
   optimal surface algorithm. The identified layers are used in the
   second step to constrain the segmentation of fluid filled retinal
   regions using GraphCut. We propose a new regularization energy term
   for GraphCut, that permits long range effect of the manual
   initialization },
  keywords =	{SEADS, segmentation, OCT},
  editor = 	{Jan, Ji{\v r}{\'\i} and Ji{\v r}{\' i}k, Radovan and 
                 Kol{\' a}{\v r}, Radim and Kol{\'a}{\v r}ov{\' a}, Jana and 
                 Kozumpl{\'\i}k, Ji{\v r}{\'\i} and Provazn{\'\i}k, Ivo},
  authorship =  {40-20-20-10},
}