R. [. Cohen and . Kimmel, Global minimum for active contour models: a minimal path approach, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p.5778, 1997.
DOI : 10.1109/CVPR.1996.517144

D. [. Chan, S. A. Vannasdale, and . Burns, The use of forward scatter to improve retinal vascular imaging with an adaptive optics scanning laser ophthalmoscope, Biomedical Optics Express, vol.3, issue.10, p.25372549, 2012.

F. [. Ghorbel, I. Rossant, M. Bloch, and . Paques, Modeling a parallelism constraint in active contours. Application to the segmentation of eye vessels and retinal layers, 2011 18th IEEE International Conference on Image Processing, p.445448, 2011.
DOI : 10.1109/ICIP.2011.6116546
URL : https://hal.archives-ouvertes.fr/hal-00683534

C. Kulcsár, G. Le-besnerais, E. Ödlund, and X. Levecq, Robust processing of images sequences produced by an adaptive optics retinal camera Adaptive Optics: Methods, Analysis and Applications, pp.3-3, 2013.

]. E. Krb-+-14, D. Koch, A. Rosenbaum, J. Brolly, P. Sahel et al., Morphometric analysis of small arteries in the human retina using adaptive optics imaging: Relationship with blood pressure and focal vascular changes, Journal of Hypertension, vol.32, issue.4, p.890898, 2014.

M. Kass, A. Witkin, and D. Terzopoulos, Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, p.321331, 1988.
DOI : 10.1007/BF00133570
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.5318

. Lrb-+-14a-]-n, F. Lermé, I. Rossant, M. Bloch, E. Paques et al., Coupled parallel snakes for segmenting healthy and pathological retinal arteries in adaptive optics images, International Conference on Image Analysis and Recognition (ICIAR), volume LNCS 8815, p.311320, 2014.

. Lrb-+-14b-]-n, F. Lermé, I. Rossant, M. Bloch, E. Paques et al., Segmentation of retinal arteries in adaptive optics images, International Conference on Pattern Recognition (ICPR), p.574578, 2014.

D. [. Liang, D. T. Williams, and . Miller, Supernormal vision and high-resolution retinal imaging through adaptive optics Direct and noninvasive assessment of parafoveal capillary leukocyte velocity, Journal of Optical Society America A Ophthalmology, vol.14, issue.1112, pp.28842892-11222192224, 1997.

M. Paques, F. Rossant, N. Lermé, C. Miloudi, C. Kulcsár et al., Adaptive optics imaging of retinal microstructures: Image processing for medical applications, 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), 2014.
DOI : 10.1109/IWCIM.2014.7008813
URL : https://hal.archives-ouvertes.fr/hal-01075302

M. F. Rossant, A. Badellino, I. Chavillon, M. Bloch, and . Paques, A Morphological Approach for Vessel Segmentation in Eye Fundus Images, with Quantitative Evaluation, Journal of Medical Imaging and Health Informatics, vol.1, issue.1, p.4249, 2011.
DOI : 10.1166/jmihi.2011.1006

]. J. Set99 and . Sethian, Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science, 1999.

C. Viard, K. Nakashima, B. Lamory, M. Paques, X. Levecq et al., Imaging microscopic structures in pathological retinas using a ood-illumination adaptive optics retinal camera, Romeny, and M. Viergever. Ecient and reliable schemes for nonlinear diusion ltering. IEEE Transactions on Image Processing, pp.788-509, 1998.

J. [. Xu and . Prince, Snakes, shapes and gradient vector ow, IEEE Transactions on Image Processing, vol.7, issue.3, p.359369, 1998.