A. Buades, B. Coll, and J. Morel, A Review of Image Denoising Algorithms, with a New One, Multiscale Modeling & Simulation, vol.4, issue.2, pp.490-530, 2005.
DOI : 10.1137/040616024

URL : https://hal.archives-ouvertes.fr/hal-00271141

P. Coupé, P. Yger, S. Prima, P. Hellier, C. Kervrann et al., An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images, IEEE Transactions on Medical Imaging, vol.27, issue.4, pp.425-441, 2008.
DOI : 10.1109/TMI.2007.906087

A. F. Frangi, W. J. Niessen, R. M. Hoogeveen, T. Van-walsum, and M. A. Viergever, Model-based quantitation of 3-D magnetic resonance angiographic images, IEEE Transactions on Medical Imaging, vol.18, issue.10, pp.946-956, 1999.
DOI : 10.1109/42.811279

R. Manniesing, M. A. Viergever, and W. J. Niessen, Vessel enhancing diffusionA scale space representation of vessel structures, Medical Image Analysis, vol.10, issue.6, pp.815-825, 2006.
DOI : 10.1016/j.media.2006.06.003

M. H. Wilkinson and M. A. Westenberg, Shape Preserving Filament Enhancement Filtering, MICCAI. 2001, pp.770-777
DOI : 10.1007/3-540-45468-3_92

URL : http://www.rug.nl/informatica/onderzoek/programmas/hpci/Publications/_files/miccai2001.pdf

P. Soille and H. Talbot, Directional morphological filtering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.11, pp.1313-1329, 2001.
DOI : 10.1109/34.969120

C. L. Hendriks, Constrained and Dimensionality-Independent Path Openings, IEEE Transactions on Image Processing, vol.19, issue.6, pp.1587-1595, 2010.
DOI : 10.1109/TIP.2010.2044959

R. Verdú-monedero and J. Angulo, Spatially-Variant Directional Mathematical Morphology Operators Based on a Diffused Average Squared Gradient Field, ACIVS, pp.542-553, 2008.
DOI : 10.1109/83.661195

O. Tankyevych, H. Talbot, P. Dokládal, and N. Passat, Direction-adaptive grey-level morphology. application to 3D vascular brain imaging, 2009 16th IEEE International Conference on Image Processing (ICIP), pp.2261-2264, 2009.
DOI : 10.1109/ICIP.2009.5414356

URL : https://hal.archives-ouvertes.fr/hal-00622439

A. Dufour, O. Tankyevych, B. Naegel, H. Talbot, C. Ronse et al., Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology, Medical Image Analysis, vol.17, issue.2
DOI : 10.1016/j.media.2012.08.004

URL : https://hal.archives-ouvertes.fr/hal-01569664

H. J. Heijmans, Morphological image operators, Advances in Electronics and Electron Physics Suppl, 1994.

J. Chaussard and M. Couprie, Surface Thinning in 3D Cubical Complexes, IWCIA. 2009, pp.135-148
DOI : 10.1007/978-3-642-10210-3_11

URL : https://hal.archives-ouvertes.fr/hal-00622486

G. Bertrand and G. Malandain, A new characterization of three-dimensional simple points, Pattern Recognition Letters, vol.15, issue.2, pp.169-175, 1994.
DOI : 10.1016/0167-8655(94)90046-9

URL : https://hal.archives-ouvertes.fr/inria-00615050

S. R. Aylward and E. Bullitt, Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction, IEEE Transactions on Medical Imaging, vol.21, issue.2, pp.61-75, 2002.
DOI : 10.1109/42.993126

F. Cokelaer, H. Talbot, and J. Chanussot, Efficient robust d-dimensional path operators Selected Topics in Signal Processing, IEEE Journal, vol.6, issue.7, pp.830-839, 2012.
DOI : 10.1109/jstsp.2012.2213578

URL : http://www.gipsa-lab.grenoble-inp.fr/%7Ejocelyn.chanussot/publis/ieee_jstsp_12_cokelaer_robust_paths.pdf