H. Jacinto, S. Valette, and R. Prost, Multi-Atlas Automatic Positioning of Anatomical Landmarks, Journal of Visual Communication and Image Representation, vol.50, pp.167-177, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01977869

J. Digne, S. Valette, and R. Chaine, Sparse Geometric Representation Through Local Shape Probing, IEEE Transactions on Visualization and Computer Graphics, vol.24, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01547820

W. Baaziz, M. Bahri, A. S. Gay, A. Chaumonnot, D. Uzio et al., Thermal behavior of Pd@SiO 2 nanostructures in various gas environments : a combined 3D and in situ TEM approach, pp.20178-20188, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01991904

R. Kéchichian, S. Valette, and M. Desvignes, Automatic Multiorgan Segmentation via Multiscale Registration and Graph Cut, IEEE Transactions on Medical Imaging, 2018.

O. Bernard, J. G. Bosch, B. Heyde, M. Alessandrini, D. Barbosa et al., Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography, IEEE Transactions on Medical Imaging, vol.35, pp.1915-1926, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01272359

J. Digne, R. Chaine, and S. Et-valette, Self-similarity for accurate compression of point sampled surfaces, Proceedings of Eurographics, vol.33, pp.155-164, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00983003

T. Wardziak, L. Oxarango, S. Valette, L. Mahieu-williame, and P. Joly, Modelling skin surface areas involved in water transfer in the palmate newt (Lissotriton helveticus), Canadian Journal Of Zoology, vol.92, pp.707-714, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01077162

R. Kéchichian, S. Valette, M. Desvignes, and R. Prost, Shortest-path constraints for 3D multiobject semiautomatic segmentation via clustering and Graph Cut, IEEE Transactions on Image Processing, vol.22, issue.11, pp.4224-4260, 2013.

K. Liao, Y. M. Zhu, L. Ding, S. Valette, W. Zhang et al., Sparse imaging of cortical electrical current densities via wavelet transforms, Physics in Medicine and Biology, vol.57, pp.6881-6901, 2012.
URL : https://hal.archives-ouvertes.fr/hal-02158523

J. Dardenne, S. Valette, N. Siauve, N. Burais, and R. Prost, Modélisation adaptative 3D de structures anatomiques pour la simulation électromagnétique et thermique, European Journal of Electrical Engineering, vol.14, pp.91-122, 2011.

J. W. Cho, S. Valette, J. H. Park, H. Y. Jung, and R. Prost, 3-D Mesh Sequence Compression Using Wavelet-Based Multi-resolution Analysis, Applied Mathematics and Computation, vol.216, pp.410-425, 2010.
URL : https://hal.archives-ouvertes.fr/hal-02158554

S. Valette, R. Chaine, and R. Prost, Progressive Lossless Mesh Compression Via Incremental Parametric Refinement, Proceedings of Symposium on Geometry Processing, pp.1301-1310, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00533562

A. Gelas, S. Valette, R. Prost, and W. L. Nowinski, Variational implicit surface meshing, Proceedings of IEEE Shape Modeling International SMI, vol.33, pp.312-320, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00533568

J. Dardenne, S. Valette, N. Siauve, N. Burais, and R. Prost, Variational tetraedral mesh generation from discrete volume data, The Visual Computer, vol.25, pp.401-410, 2009.

S. Valette, J. M. Chassery, and R. Prost, Generic remeshing of 3D triangular meshes with metric-dependent discrete Voronoi Diagrams, IEEE Trans Visu Comp Grap, vol.14, pp.369-381, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00537025

S. Valette and R. Prost, Wavelet Based Multiresolution Analysis of Irregular Surface Meshes, IEEE Trans Visu Comp Grap, vol.10, pp.113-122, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00537010

S. Valette and R. Prost, A Wavelet-Based Progressive Compression Scheme For Triangle Meshes : Wavemesh, IEEE Trans Visu Comp Grap, vol.10, pp.123-129, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00537014

S. Valette and J. M. Chassery, Approximated Centroidal Voronoi Diagrams for Uniform Polygonal Mesh Coarsening, Proceedings of Eurographics, vol.23, pp.381-389, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00534535

S. Valette, A. Gouaillard, and R. Prost, Compression of 3D Triangular Meshes with Progressive Precision, Computers and Graphics, vol.28, pp.35-42, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00537022

S. Valette, I. E. Magnin, and R. Prost, Mesh-based video objects tracking combining motion and luminance discontinuities criteria, Signal Proces, vol.84, pp.1213-1224, 2004.
URL : https://hal.archives-ouvertes.fr/hal-02158558

P. Dong, S. Valette, M. Zuluaga, G. J. Kazakia, and F. Peyrin, Voronoi-Based Analysis of Bone Cell Network from Synchrotron Radiation Micro-CT Images, IEEE ISBI, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01272791

R. Agier, S. Valette, L. Fanton, P. Croisille, and R. Prost, Hubless 3D medical image bundle registration, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol.3, pp.265-272, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01284240

R. Kéchichian, S. Valette, M. Sdika, and M. Desvignes, Automatic 3D Multiorgan Segmentation via Clustering and Graph Cut Using Spatial Relations and Hierarchically-Registered Atlases, in Medical Computer Vision : Algorithms for Big Data, pp.201-209, 2014.

H. Jacinto, R. Kéchichian, S. Valette, and R. Prost, Positioning of anatomical landmarks in orthopedics by mesh registration, IEEE International Conference on Image Processing (ICIP'14), pp.3572-3576, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01117646

H. Jacinto, R. Kéchichian, R. Prost, and E. S. Valette, Recalage de Maillages pour le Placement de Repères Anatomiques en Orthopédie Via Internet, CORESA, 2013.

E. Ovreiu, J. G. Reyes, S. Valette, and R. Prost, Mesh Simplification using a Two-Sided Error Minimization, 2nd International Conference on Image, Vision and Computing (ICIVC 2012), pp.26-30, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00838845

H. Jacinto, R. Kéchichian, M. Desvignes, R. Prost, and E. S. Valette, A Web Interface for 3D Visualization and Interactive Segmentation of Medical Images, 17th International Conference on 3D Web Technology, pp.51-58, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00732335

A. Marion, G. Forestier, H. Benoit-cattin, S. Camarasu-pop, P. Clarysse et al., Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP), The 24th International Symposium on Computer-Based Medical Systems, pp.1-6, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01922169

R. Kéchichian, S. Valette, M. Desvignes, and R. Prost, Efficient Multi-Object Segmentation of 3D Medical Images Using Clustering and Graph Cuts, IEEE International Conference on Image Processing, pp.2196-2200, 2011.

E. Ovreiu, S. Valette, V. Buzuloiu, and R. Prost, Mesh Simplification using an Accurate Measured Quadratic Error, International Symposium on Signals, Circuits & Systems, pp.39-42, 2011.

, Sébastien Valette

M. Audette, D. Rivière, M. Ewend, A. Enquobahrie, and E. S. Valette, Approach-guided controlled resolution brain meshing for FE-based interactive neurosurgery simulation, Workshop on Mesh Processing in Medical Image Analysis, in conjunction with MICCAI 2011, pp.176-186, 2011.

J. Dias, S. Valette, J. Dardenne, R. Prost, and F. Peyrin, Multi-scale analysis of plates and rods in human trabecular bone, IEEE Int Conf on Image Processing ICIP 2010, pp.2289-2292, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00543302

J. Tabary, S. Marache, S. Valette, W. Segars, and C. Lartizien, Realistic X-Ray CT Simulation of the XCAT Phantom with SINDBAD, Proc. of the 2009 IEEE NSS and MIC Conference, pp.3980-3983, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00508844

J. W. Cho, H. K. Kim, S. Valette, H. Y. Jung, and R. Prost, A Compression Method for 3-D Mesh Sequences Combining Wavelet-based Multi-resolution Analysis and Multi-order Differential Coding, International Conference on Image Processing, pp.1008-1011, 2009.

J. Dardenne, S. Valette, N. Siauve, R. Prost, and N. Burais, Impact of Tetrahedral Mesh Quality for Electromagnetic and Thermal Simulations, IEEE Conference on the Computation of Electromagnetic Fields (COMPUMAG'09), pp.1044-1045, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00414249

J. Dardenne, S. Valette, N. Siauve, B. Khaddour, and R. Prost, Exploiting Curvature to compute the Medial Axis with Constrained Centroidal Voronoi Diagram On Discrete Data, IEEE International Conference on Image Processing (ICIP'09), pp.441-444, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00475924

J. Dardenne, S. Valette, N. Siauve, and R. Prost, Medial Axis Approximation with Constrained Centroidal Voronoi Diagrams On Discrete Data, CGI 2008 Conference Proceedings, pp.299-306, 2008.

J. W. Cho, M. S. Kim, S. Valette, H. Y. Jung, and R. Prost, A 3D meshes sequence coding using the combination of spatial and temporal wavelet analysis, International conference on Computer Vision, Computer Graphics Collaboration Techniques and Application (MIRAGE'07), vol.4418, pp.389-399, 2007.

J. W. Cho, M. S. Kim, S. Valette, H. Y. Jung, and R. Prost, 3D Dynamic Mesh Compression using Wavelet-Based Multiresolution Analysis, IEEE International Conference on Image Processing ICIP'06, pp.529-532, 2006.

S. Valette, I. Kompatsiaris, and M. G. Strintzis, A polygonal mesh partitioning algorithm based on protrusion conquest for perceptual 3D shape description, Workshop towards Semantic Virtual Environments SVE 2005, pp.68-76, 2005.

A. Gouaillard, A. Gelas, S. Valette, E. Boix, and R. Prost, Curvature-based Adaptive Remeshing for Wavelet-Based Multiresolution 3D Meshes, IEEE International Conference on Image Processing ICIP'05, pp.1033-1036, 2005.

, Sébastien Valette

. Chapitres-d'ouvrages,

M. S. Kim, S. Valette, H. Y. Jung, and R. Prost, Watermarking of 3D Irregular Meshes based on Wavelet Multiresolution Analysis, International Workshop on Digital Watermarking (IWDW'05), vol.3710, pp.313-324, 2005.

S. Valette, I. Kompatsiaris, and J. M. Chassery, Adaptive Polygonal Mesh Simplification With Discrete Centroidal Voronoi Diagrams, Proceedings of 2nd International Conference on Machine Intelligence ICMI 2005, pp.655-662, 2005.

A. Gouaillard, A. Gelas, S. Valette, E. Boix, T. Kanai et al., Remeshing algorithm for multiresolution prior model in segmentation, IEEE International Conference on Image Processing ICIP'O4, pp.2753-2756, 2004.

, Google Scholar BibTex RTF Tagged MARC XML RIS

S. Valette, J. Rossignac, and R. Prost, An Efficient Subdivision Inversion for Wavemesh-Based Progressive Compression of 3D Triangle Meshes, IEEE International Conference on Image Processing ICIP'03, vol.1, pp.777-780, 2003.

Y. S. Kim, S. Valette, and R. Prost, Adaptive wavelets based multiresolution modeling of irregular meshes via harmonic maps, IEEE International Conference on Image Processing ICIP'01, vol.III, pp.210-213, 2001.

S. Valette, Y. S. Kim, and R. Prost, The inverse problem of wavelet scheme construction for irregularly subdivided 3D triangular meshes, QCAV2001, vol.2, pp.452-457, 2001.

S. Valette, I. E. Magnin, and R. Prost, Active mesh for video segmentation and objects tracking, IEEE International Conference on Image Processing ICIP'01, vol.II, pp.77-80, 2001.

H. Benoit-cattin, P. Joachimsmann, A. Planat, S. Valette, A. Baskurt et al., Active mesh texture coding based on warping and DCT, IEEE International Conference on Image Processing ICIP'99, vol.2, pp.830-833, 1999.

Y. S. Kim, S. Valette, H. Y. Jung, and R. Prost, Local wavelets decomposition for 3-D Surfaces, IEEE International Conference on Image Processing ICIP'99, vol.3, pp.357-360, 1999.

S. Valette, Y. S. Kim, H. Y. Jung, I. E. Magnin, and R. Prost, A multiresolution wavelet scheme for irregularly subdivided 3D triangular mesh, IEEE International Conference on Image Processing ICIP'99, vol.1, pp.171-174, 1999.

, Chapitres d'ouvrages

R. Kéchichian, S. Valette, M. Desvignes, ;. Hanbury, H. Muller et al., Automatic Multiorgan Segmentation Using Hierarchically Registered Probabilistic Atlases , dans Cloud-Based Benchmarking of Medical Image Analysis, pp.185-201, 2017.

, Sébastien Valette

K. Mamou, F. Prêteux, R. Prost, S. Valette, and C. , Compression of Static and Dynamic 3-D Meshes , dans Compression des images et des signaux médicaux, vol.9

C. Naït-ali-et-cavaro-ménard, . London, W. Uk-:-iste, and . Publ, , pp.211-245, 2008.

J. O. Lachaud, S. Valette, ;. Coeurjolly, A. Montanvert, and J. Et-chassery, Chap. 12 : Approximation par triangulation, Géométrie discrète et images numériques, pp.265-282, 2007.

K. Mamou, F. Prêteux, R. Prost, S. Valette, and C. , Compression des maillages surfaciques 3D statiques et dynamiques , dans Compression des images et des signaux médicaux, A. Naït-Ali et Cavaro-Ménard, C, vol.9, pp.231-268, 2007.

S. Conférence-invitée and . Valette, Segmentation et génération de modèles 3D pour l'imagerie médicale, p.1

, International Meeting of Research and innovation in the cardiovascular field IMRIC 2012, 2012.

, Thèse de doctorat Modèles de maillages déformables 2D et multirésolution surfaciques 3D sur une base d'ondelettes

[. Bibliographie and . Agier, , 2016.

, Hubless 3D medical image bundle registration, VISAPP 2016 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol.3, pp.265-272

. Agier, , 2018.

, Hubless keypoint-based 3D deformable groupwise registration

A. , K-svd : An algorithm for designing overcomplete dictionaries for sparse representation, IEEE Transactions on, vol.54, pp.4311-4322, 2006.

A. , Kaze features, Proceedings of the 12th European Conference on Computer Vision -Volume Part VI, ECCV'12, pp.214-227, 2012.

[. Aleardi, Succinct representations of planar maps, Excursions in Algorithmics : A Collection of Papers in Honor of Franco P. Preparata, vol.408, pp.174-187, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00337821

A. , Full orientation invariance and improved feature selectivity of 3D SIFT with application to medical image analysis, Computer Vision and Pattern Recognition Workshops, pp.1-8, 2008.

A. , Interactive Geometry Remeshing, ACM Transactions on Graphics. Special issue for SIGGRAPH conference, vol.21, issue.3, pp.347-354, 2002.

A. , Anisotropic polygonal remeshing, ACM Transactions on Graphics. Special issue for SIGGRAPH conference, pp.485-493, 2003.

A. , , 2003.

, Isotropic surface remeshing, Proceedings of Shape Modeling International, pp.49-58

A. , , 2005.

, Variational Tetrahedral Meshing. ACM Transactions on Graphics

A. Desbrun-;-alliez, P. Desbrun, and M. , Progressive encoding for lossless transmission of 3d meshes, ACM Siggraph Conference Proceedings, pp.198-205, 2001.

[. Anguelov, Google street view : Capturing the world at street level. Computer, p.43, 2010.

. Ashburner, Rigid body registration, 2003.

. Audette, , 2011.

M. Audette, D. Rivière, M. Ewend, A. Enquobahrie, S. Valette et al., Approach-guided controlled resolution brain meshing for fe-based interactive neurosurgery simulation, Workshop on Mesh Processing in Medical Image Analysis, in conjunction with MICCAI 2011, vol.23, pp.345-405, 1991.

. Avants, Symmetric diffeomorphic image registration with cross-correlation : Evaluating automated labeling of elderly and neurodegenerative brain, Medical Image Analysis, vol.12, issue.1, pp.26-41, 2008.

[. Bagci, Hierarchical scale-based multiobject recognition of 3-d anatomical structures, IEEE Trans. Med. Imag, vol.31, issue.3, pp.777-789, 2012.

[. Bartoli, Stratified generalized procrustes analysis, International Journal of Computer Vision, vol.101, issue.2, pp.227-253, 2013.

[. Bay, Speeded-up robust features (SURF), Comput. Vis. Image Underst, vol.110, issue.3, pp.346-359, 2008.

. Boier-martin, , 2004.

, Parameterization of triangle meshes over quadrilateral domains, Proceedings of the Symposium on Geometry Processing

. Botsch, Polygon Mesh Processing, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00538098

[. Boykov, Fast approximate energy minimization via graph cuts, IEEE Trans. Pattern Anal. Mach. Intell, vol.23, issue.11, pp.1222-1239, 2001.

J. Boykov, Y. Y. Boykov, and M. Jolly, Interactive graph cuts for optimal boundary amp ;amp ; region segmentation of objects in n-d images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV, vol.1, pp.105-112, 2001.

K. Boykov, Y. Boykov, and V. Kolmogorov, An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision, IEEE Trans. Pattern Anal. Mach. Intell, vol.26, issue.9, pp.1124-1137, 2004.

. Boykov, Y. Veksler-;-boykov, and O. Veksler, Graph cuts in vision and graphics : Theories and applications, Handbook of mathematical models in computer vision, pp.79-96, 2006.

[. Boykov, F. Boykov, Y. Funka-lea, and G. , Graph cuts and efficient N-D image segmentation, Int. J. of Comput. Vision, vol.70, issue.2, pp.109-131, 2006.

L. G. Brown, A survey of image registration techniques, ACM Comput. Surv, vol.24, issue.4, pp.325-376, 1992.

P. Cazals, F. Cazals, and M. Pouget, Estimating differential quantities using polynomial fitting of osculating jets, Computer Aided Geometric Design, vol.22, issue.2, pp.121-146, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00071763

[. Chaine, Mesh Connectivity Compression Using Convection Reconstruction, ACM Symposium on Solid and Physical Modeling (ACM SPM), pp.41-49, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00606255

C. , Medical image segmentation by combining graph cuts and oriented active appearance models, IEEE Trans. Image Process, vol.21, issue.4, pp.2035-2046, 2012.

C. Chen, L. Xu-;-chen, and J. Chao-xu, Optimal delaunay triangulations, Journal of Computational Mathematics, vol.22, issue.2, pp.299-308, 2004.

H. Cheung, W. Cheung, and G. Hamarneh, , 2007.

W. Cheung and G. Hamarneh, N-dimensional scale invariant feature transform for matching medical images, Biomedical Imaging : From Nano to Macro, vol.18, pp.2012-2021, 2007.

[. Cho, 3-d mesh sequence compression using wavelet-based multi-resolution analysis, Applied Mathematics and Computation, vol.216, issue.2, pp.410-425, 2010.
URL : https://hal.archives-ouvertes.fr/hal-02158554

[. Chu, Multi-organ segmentation based on spatially-divided probabilistic atlas from 3D abdominal CT images, Proc. MICCAI Conf, pp.165-172, 2013.

A. Cigla, C. Cigla, and A. A. Alatan, Efficient graph-based image segmentation via speeded-up turbo pixels, 17th IEEE Int. Conf. on Image Processing, pp.3013-3016, 2010.

[. Cignoni, Metro : Measuring error on simplified surfaces, Computer Graphics Forum, vol.17, issue.2, pp.167-174, 1998.

. Cohen-or, Progressive compression of arbitrary triangular meshes, IEEE Visualization 99, pp.67-72, 1999.

D. Cohen-or and O. Sorkine, Encoding meshes in differential coordinates, SCCG06) Proceedings of the 22nd Spring Conference on Computer Graphics, 2006.

. Cohen-steiner, , 2004.

, Variationnal Shape Approximation. ACM Transactions on Graphics. Special issue for SIGGRAPH conference

. Collins, Design and construction of a realistic digital brain phantom, IEEE Trans. Med. Imag, vol.17, issue.3, pp.463-468, 1998.

M. Comaniciu, D. Comaniciu, and P. Meer, Mean shift : a robust approach toward feature analysis, IEEE Trans. Pattern Anal. Mach. Intell, vol.24, issue.5, pp.603-619, 2002.

H. Courbet, C. Courbet, and C. Hudelot, Taylor Prediction for Mesh Geometry Compression, Computer Graphics Forum, vol.30, issue.1, pp.139-151, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00824587

[. Dardenne, Medial axis approximation with constrained centroidal voronoi diagrams on discrete data, CGI 2008 Conference Proceedings, pp.299-306, 2008.

[. Dardenne, Variational tetraedral mesh generation from discrete volume data, The Visual Computer, vol.25, issue.5, pp.401-410, 2009.

. Datta, Identifying and attacking the saddle point problem in high-dimensional non-convex optimization, SIGGRAPH '95 : Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, vol.27, pp.13-20, 1995.

B. Delong, A. Delong, and Y. Boykov, A scalable graph-cut algorithm for N-D grids, 26th IEEE Conf. on Computer Vision and Pattern Recognition, 2008.

A. Boykov-;-delong, Y. Boykov, and . Dempster, Maximum likelihood from incomplete data via the EM algorithm, 12th Int. Conf. on Computer Vision, pp.1-38, 1977.

[. Digne, Self-similarity for accurate compression of point sampled surfaces, Proceedings of Eurographics, vol.33, pp.155-164, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00983003

[. Digne, Sparse geometric representation through local shape probing, IEEE Transactions on Visualization and Computer Graphics, vol.24, issue.7, pp.2238-2250, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01547820

. Donoho, D. L. Huber-;-donoho, P. J. Huber, and . Du, The notion of breakdown point. A festschrift for Erich L. Lehmann, 157184, SIAM Rev, vol.41, issue.4, pp.637-676, 1983.

. Du, Constrained centroidal voronoi tessellations for surfaces, SIAM Journal on Scientific Computing, vol.24, issue.5, pp.1488-1506, 2003.

W. ;. Du, Q. Du, and D. Wang, Anisotropic centroidal voronoi tessellations and their applications, SIAM J. Sci Comp, vol.26, pp.737-761, 2005.

[. Dyer, Delaunay mesh construction, SGP '07, pp.273-282, 2007.

. Dyn, A butterfly subdivision scheme for surface interpolation with tension control, ACM Transaction on Graphics, vol.9, p.160, 1990.

. Espinas, Random sample consensus : a paradigm for model fitting with applications to image analysis and automated cartography, Commun. of the ACM, vol.24, issue.6, pp.381-395, 1981.

[. Fonov, Unbiased average age-appropriate atlases for pediatric studies, NeuroImage, vol.54, issue.1, pp.313-327, 2011.

. Fornefett, Radial basis functions with compact support for elastic registration of medical images, Image and Vision Computing, vol.19, issue.1, pp.87-96, 2001.

[. Fouquier, Sequential model-based segmentation and recognition of image structures driven by visual features and spatial relations. Computer Vision and Image Understanding, vol.116, pp.146-165, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00862556

J. Fox, Robust regression. An R and S-Plus Companion to Applied Regression, 2002.

S. Valette and ;. Frahm, Building rome on a cloudless day, Computer Vision-ECCV 2010, pp.368-381, 2010.

[. Franchi, Computational anatomy : what prospects for forensic anthropology ?, International Academy of Legal Science. AAFS -70th Annual Scientific Meeting, 2018.

. Freedman, D. Zhang-;-freedman, and T. Zhang, Interactive graph cut based segmentation with shape priors, Proc. IEEE Conf. on Computer Vision and Pattern Recognition, vol.1, pp.755-762, 2005.

B. Frey, P. Frey, and H. Borouchaki, Surface mesh evaluation, 6th International Meshing Roundtable, pp.363-374, 1997.

. Fulkerson, Class segmentation and object localization with superpixel neighborhoods, IEEE 12th, 2009.

. Int and . Conf, on Computer Vision, pp.670-677

P. Gandoin and O. Devillers, Progressive lossless compression of arbitrary simplicial complexes, SIGGRAPH '02 : Proceedings of the 29th annual conference on Computer graphics and interactive techniques, pp.372-379, 2002.
URL : https://hal.archives-ouvertes.fr/inria-00167216

[. Gao, Diagonal flips in labelled planar triangulations, Graphs Combin, vol.17, pp.647-657, 2001.

[. Garland, M. Garland, P. S. Heckbert, and . Gass, Multi-atlas segmentation and landmark localization in images with large field of view, SIGGRAPH '97 : Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp.209-216, 1997.

M. Workshop, , pp.171-180

. Gass, Multi-atlas segmentation and landmark localization in images with large field of view, Medical Computer Vision : Algorithms for Big Data, pp.721-741, 1984.

[. Gibson, Towards image-guided pancreas and biliary endoscopy : Automatic multi-organ segmentation on abdominal ct with dense dilated networks, Proc. MICCAI Conf, pp.728-736, 2017.

[. Glocker, , 2012.

, Joint classification-regression forests for spatially structured multi-object segmentation, Computer Vision-ECCV, pp.870-881

[. Gorthi, Comparison of energy minimization methods for 3-D brain tissue classification, 18th IEEE Int. Conf. on Image Processing, pp.57-60, 2011.

C. Gotsman, On the optimality of valence-based connectivity coding, Computer Graphics Forum, vol.22, issue.4, pp.99-102, 2003.

[. Greig, Exact maximum a posteriori estimation for binary images, J. of the Roy. Stat. Soc. Series B (Methodological), vol.51, issue.2, pp.271-279, 1989.

[. Gu, Geometry images. ACM SIGGRAPH Conference Proceedings, pp.355-361, 2002.

[. Guimond, Average brain models : A convergence study, Computer Vision and Image Understanding, vol.77, issue.2, pp.192-210, 2000.
URL : https://hal.archives-ouvertes.fr/inria-00072934

. Gurung, , 2011.

, Lr : compact connectivity representation for triangle meshes, SIGGRAPH '11

[. Guskov, Normal meshes, SIGGRAPH '00 : Proceedings of the 27th annual conference on Computer graphics and interactive techniques, pp.95-102, 2000.

[. Hamm, GRAM : A framework for geodesic registration on anatomical manifolds, Medical Image Analysis, vol.14, pp.633-675, 2010.

. Hanbury, Bringing the algorithms to the data : cloud-based benchmarking for medical image analysis, Information Access Evaluation, 2012.

M. Multilinguality, V. Analytics, ;. Harris, C. Stephens-;-harris, M. Stephens et al., Optimal triangulation and quadric-based surface simplification, Alvey Vision Conference, vol.15, pp.49-65, 1988.

. Heimann, T. Meinzer-;-heimann, and H. Meinzer, Statistical shape models for 3D medical image segmentation : a review, Med. Image Anal, vol.13, issue.4, pp.543-563, 2009.

. Heinrich, Multi-modal multi-atlas segmentation using discrete optimisation and self-similarities, Proc. ISBI Visceral Challenge, pp.27-30, 2015.

S. Valette, ;. Heinrich, . Blendowski, M. Heinrich, and M. Blendowski, Multi-organ segmentation using vantage point forests and binary context features, Proc. MICCAI Conf, pp.598-606, 2016.

P. Hellier and C. Barillot, Coupling dense and landmark-based approaches for nonrigid registration, IEEE Transactions on Medical Imaging, vol.22, issue.2, pp.217-227, 2003.

H. Hoppe, Progressive meshes, ACM Siggraph 96 Conference Proceedings, pp.99-108, 1996.

. Hu, , 2017.

, Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets, Int. J. Comput. Assist. Radiol. Surg, vol.12, issue.3, pp.399-411

. Huang, Octree-based progressive geometry coding of point clouds, Proc. Point-Based Graphics 06, SPBG'06, pp.103-110, 2006.

. Huang, , 2008.

, Three-dimensional super-resolution imaging by stochastic optical reconstruction microscopy, Science, vol.319, issue.5864, pp.810-813

P. J. Huber and . Hubo, Robust statistics, 2008.

, Self-similarity based compression of point set surfaces with application to ray tracing

, Comput. Graph. Point-Based Graphics, vol.32, issue.2, pp.221-234

, IRCAD, 3D-IRCADb, 2012.

. Iglesias, Combining generative and discriminative models for semantic segmentation of CT scans via active learning, Inf. Process. in Med. Imaging, pp.25-36, 2011.

J. E. Iglesias and M. Sabuncu, Multi-atlas segmentation of biomedical images : a survey, Med. Image Anal, vol.24, issue.1, pp.205-219, 2015.

. Isenburg, , 2003.

, Large mesh simplification using processing sequences, IEEE Visualization conference proceedings

. Isenburg, Lossless compression of predicted floating-point geometry, JCAD -Journal for Computer-Aided Design, vol.37, 2005.

. Isenburg, M. Snoeyink-;-isenburg, and J. Snoeyink, , 2005.

H. Ishikawa, Exact optimization for markov random fields with convex priors, IEEE Trans. Pattern Anal. Mach. Intell, vol.25, issue.10, pp.1333-1336, 2003.

[. Jacinto, A web interface for 3d visualization and interactive segmentation of medical images, 17th International Conference on 3D Web Technology, pp.51-58, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00732335

[. Jacinto, Multi-atlas automatic positioning of anatomical landmarks, Journal of Visual Communication and Image Representation, vol.50, pp.167-177, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01977869

. Jenkinson, Improved optimization for the robust and accurate linear registration and motion correction of brain images, NeuroImage, vol.17, issue.2, pp.825-841, 2002.

. Del-toro, Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms : Visceral anatomy benchmarks, IEEE Trans. Med. Imag, vol.35, issue.11, pp.2459-2475, 2016.

M. Del-toro, O. Toro, and H. Müller, , 2014.

, Hierarchic multi-atlas based segmentation for anatomical structures : Evaluation in the visceral anatomy benchmarks, Proc. MICCAI-MCV Workshop, pp.189-200

[. Joshi, Unbiased diffeomorphic atlas construction for computational anatomy, NeuroImage, vol.23, pp.151-160, 2004.

[. Jovanova, Mpeg-4 part 25 : A generic model for 3d graphics compression, 3DTV Conference : The True Vision -Capture, Transmission and Display of 3D Video, pp.101-104, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01375734

[. Kéchichian, , 2011.

R. Kéchichian, S. Valette, M. Desvignes, and R. Prost, Efficient multi-object segmentation of 3D medical images using clustering and graph cuts, 18th IEEE Int. Conf. on Image Processing, pp.2149-2152, 2013.

, Shortest-path constraints for 3D multi-object semi-automatic segmentation via clustering and graph cut, IEEE Trans. Image Process, vol.22, issue.11, pp.4224-4236

. Kahl, Good features for reliable registration in multi-atlas segmentation, ISBI Visceral Challenge, pp.12-17, 2015.

. Kalaiah, A. Varshney-;-kalaiah, and A. Varshney, Statistical geometry representation for efficient transmission and rendering, ACM Trans. Graph, vol.24, issue.2, pp.348-373, 2005.

. Karlsson, The vSLAM algorithm for robust localization and mapping, Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on, pp.24-29, 2005.

[. Karni, Efficient compression and rendering of multi-resolution meshes, VIS '02 : Proceedings of the Sébastien Valette conference on Visualization '02, pp.347-354, 2002.

G. Karni, Z. Karni, and C. Gotsman, Spectral Compression of Mesh Geometry, ACM Siggraph 00 Conference Proceedings, pp.279-286, 2000.

. Keall, Four-dimensional radiotherapy planning for dmlc-based respiratory motion tracking, Medical Physics, vol.32, issue.4, pp.942-951, 2005.

[. Khodakovsky, , 2000.

, Progressive Geometry Compression, ACM Siggraph Conference Proceedings, pp.271-278

R. King, D. King, and J. Rossignac, Optimal Bit Allocation in 3D Compression, Journal of Computational Geometry, vol.14, pp.91-118, 1999.

. Klein, , 2010.

, Elastix : a toolbox for intensity-based medical image registration, IEEE Trans. Med. Imag, vol.29, issue.1, pp.196-205

L. Kobbelt, V. Kolmogorov, and R. Zabih, What energy functions can be minimized via graph cuts ?, SIGGRAPH '00 : Proceedings of the 27th annual conference on Computer graphics and interactive techniques, vol.26, pp.147-159, 2000.

[. Kéchichian, , 2013.

, Shortest-path constraints for 3d multiobject semiautomatic segmentation via clustering and graph cut, IEEE Transactions on Image Processing, vol.22, pp.4224-4260

[. Kéchichian, , 2014.

B. Langs, G. Montillo, A. Kelm, M. Müller, H. Zhang et al., Automatic 3d multiorgan segmentation via clustering and graph cut using spatial relations and hierarchically-registered atlases, Medical Computer Vision : Algorithms for Big Data, pp.201-209

[. Kéchichian, Automatic multiorgan segmentation using hierarchically registered probabilistic atlases, Cloud-Based Benchmarking of Medical Image Analysis, pp.185-201, 2017.

[. Kéchichian, Automatic multiorgan segmentation via multiscale registration and graph cut, IEEE Transactions on Medical Imaging, pp.1-1, 2018.

S. Labelle, F. Labelle, and J. R. Shewchuk, Anisotropic voronoi diagrams and guaranteed-quality anisotropic mesh generation, Proceedings of the Nineteenth Annual Symposium on Computational Geometry, pp.191-200, 2003.

. Langs, , 2013.

, VISCERAL : Towards large data in medical imaging -challenges and directions, Proceedings of the Third MICCAI International Conference on Medical Content-Based Retrieval for Clinical Decision Support, pp.92-98

. Larsson, Robust abdominal organ segmentation using regional convolutional neural networks, Scandinavian Conf. on Image Anal, pp.41-52, 2017.

. Lavdas, Fully automatic, multi-organ segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs) and a multi-atlas (MA) approach, Med. Phys, 2017.

. Lecun, , 1998.

, Gradient-based learning applied to document recognition, Proceedings of the IEEE, vol.86, issue.11, pp.2278-2324

[. Lee, Maps : Multiresolution adaptive parameterization of surfaces, ACM SIGGRAPH Conference Proceedings, pp.95-104, 1998.

. Levinshtein, TurboPixels : fast superpixels using geometric flows, IEEE Trans. Pattern Anal. Mach. Intell, vol.31, issue.12, pp.2290-2297, 2009.

[. Lewiner, Gencode : geometry-driven compression for general meshes, Computer Graphics Forum, vol.25, issue.4, pp.685-695, 2006.

J. Lewis, Fast normalized cross-correlation, Vision Interface, vol.10, pp.120-123, 1995.

S. Z. Li-;-li and . Li, Markov random field modeling in image analysis, ACM Trans. on Graphics, vol.23, issue.3, pp.303-308, 2004.

[. Li, Establishing a normative atlas of the human lung, Academic Radiology, vol.19, issue.11, pp.1368-1381, 2012.

P. Lindstrom, Out-of-core simplification of large polygonal models, Computer Graphics Proceedings, pp.259-262, 2000.

S. Valette and ;. Linguraru, Statistical 4D graphs for multi-organ abdominal segmentation from multiphase CT, Medical Image Analysis, vol.16, issue.4, pp.904-914, 2012.

. Litjens, A survey on deep learning in medical image analysis, Med. Image Anal, vol.42, pp.60-88, 2017.

. Liu, Order-preserving moves for graph-cut-based optimization, IEEE Trans. Pattern Anal. Mach. Intell, vol.32, issue.7, pp.1182-1196, 2010.

S. P. Lloyd, Least squares quantization in pcm, IEEE Trans. Inform. Theory, vol.28, pp.129-137, 1982.

. Lombaert, A multilevel banded graph cuts method for fast image segmentation, 10th IEEE Int. Conf. on Computer Vision, vol.1, pp.259-265, 2005.

, Smooth subdivision surfaces based on triangles, 1987.

. Lounsbery, , 1997.

, Multiresolution analysis for surfaces of arbitrary topological type, ACM Trans. Graph, vol.16, issue.1, pp.34-73

D. G. Lowe, Object recognition from local scale-invariant features, Computer Vision, proceedings of the seventh IEEE International Conference on, vol.2, pp.1150-1157, 1999.

D. G. Lowe, Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.

[. Lucchi, Are spatial and global constraints really necessary for segmentation ?, IEEE Int, 2011.

, Conf. on Computer Vision, pp.9-16

[. Luffel, , 2014.

, Grouper : A compact, streamable triangle mesh data structure, IEEE Transactions on Visualization and Computer Graphics, vol.20, issue.1, pp.84-98

. Läbe, T. Förstner-;-läbe, and W. Förstner, Geometric stability of low-cost digital consumer cameras, Proceedings of the 20th ISPRS Congress, pp.528-535, 2004.

. Lötjönen, A triangulation method of an arbitrary point set for biomagnetic problems, IEEE Transactions on Magnetics, vol.34, issue.4, pp.2228-2233, 1998.

. Lötjönen, Fast and robust multi-atlas segmentation of brain magnetic resonance images, NeuroImage, vol.49, issue.3, pp.2352-2365, 2010.

. López, , 1999.

, Evaluation of methods for ridge and valley detection, IEEE Trans. Pattern Anal. Machine Intell, vol.21, issue.4, pp.327-335

[. Maglo, 3d mesh compression : Survey, comparisons, and emerging trends, ACM Comput. Surv, vol.47, issue.3, p.41, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01174418

. Maintz, J. Viergever-;-maintz, and M. A. Viergever, A survey of medical image registration, Medical Image Analysis, vol.2, issue.1, pp.1-36, 1998.

[. Malcolm, Graph cut segmentation with nonlinear shape priors, IEEE Int. Conf. on Image Processing, vol.4, pp.365-368, 2007.

. Martin, A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics, Proc. of the 8th Int. Conf. of Computer Vision, vol.2, pp.416-423, 2001.

K. Mikolajczyk and C. Schmid, An affine invariant interest point detector, European Conference on Computer Vision, pp.128-142, 2002.
URL : https://hal.archives-ouvertes.fr/inria-00548252

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, IEEE Trans. Pattern Anal. Machine Intell, vol.27, issue.10, pp.1615-1630, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00548227

. Modat, Fast free-form deformation using graphics processing units, Computer Methods and Programs in Biomedicine, vol.98, issue.3, pp.278-284, 2008.

. Modat, Global image registration using a symmetric block-matching approach, Journal of Medical Imaging, vol.1, pp.1-1, 2014.

. Moltz, Advanced segmentation techniques for lung nodules, liver metastases, and enlarged lymph nodes in CT scans, IEEE J. Sel. Topics Signal Process, vol.3, issue.1, pp.122-134, 2009.

[. Montillo, Entangled decision forests and their application for semantic segmentation of CT images, Inf. Process. in Med. Imaging, pp.184-196, 2011.

J. J. Moré, The Levenberg-Marquardt algorithm : implementation and theory, Numerical Analysis, pp.105-116, 1978.

S. Valette and ;. Murail, DSP : A tool for probabilistic sex diagnosis using worldwide variability in hip-bone measurements, vol.17, pp.3-4, 2008.

[. Oda, Organ segmentation from 3D abdominal CT images based on atlas selection and graph cut, Abdominal Imaging. Computational and Clinical Applications, pp.181-188, 2012.

. Okada, Abdominal multi-organ segmentation of CT images based on hierarchical spatial modeling of organ interrelations, Proc. of the 3rd Int, 2012.

, Conf. on Abdominal Imaging : Computational and Clinical Applications, pp.173-180

. Okada, Abdominal multi-organ segmentation from CT images using conditional shape-location and unsupervised intensity priors, Med. Image Anal, vol.26, issue.1, pp.1-18, 2015.

[. Oliveira, A novel multi-atlas strategy with dense deformation field reconstruction for abdominal and thoracic multi-organ segmentation from CT, Med. Image Anal, vol.45, pp.108-120, 2018.

. Ovreiu, , 2012.

R. Pajarola and J. Rossignac, Mesh simplification using a two-sided error minimization, 2nd International Conference on Image, Vision and Computing (ICIVC 2012), vol.6, pp.79-93, 2000.

[. Park, Construction of an abdominal probabilistic atlas and its application in segmentation, IEEE Trans. Med. Imag, vol.22, issue.4, pp.483-492, 2003.

[. Pasquier, Automatic segmentation of pelvic structures from magnetic resonance images for prostate cancer radiotherapy, Int. J. of Radiation Oncology*Biology*Physics, vol.68, issue.2, pp.592-600, 2007.

[. Pawlowski, DLTK : State of the art reference implementations for deep learning on medical images, 2017.

F. Payan and M. Antonini, An efficient bit allocation for compressing normal meshes with an error-driven quantization, Comput. Aided Geom. Des, vol.22, issue.5, pp.466-486, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00264520

K. Peng, J. Peng, and C. J. Kuo, Geometry-guided progressive lossless 3d mesh coding with octree (ot) decomposition, ACM Trans. Graph, vol.24, issue.3, pp.609-616, 2005.

G. Peyré and S. Mallat, Surface compression with geometric bandelets, SIGGRAPH '05 : ACM SIGGRAPH 2005 Papers, pp.601-608, 2005.

G. Peyré and L. Cohen, Geodesic remeshing using front propagation, IEEE workshop on Variational, Geometric and Level Set Methods in Computer Vision, 2003.

T. Platero, C. Platero, and M. C. Tobar, A multiatlas segmentation using graph cuts with applications to liver segmentation in CT scans. Computational and mathematical methods in medicine, 2014.

. Pluim, , 2003.

, Mutual-information-based registration of medical images : a survey, IEEE Trans. Med. Imag, vol.22, issue.8, pp.986-1004

D. Poulalhon and G. Schaeffer, Optimal coding and sampling of triangulations, Algorithmica, vol.46, issue.3, pp.505-527, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00159287

. Rasoulian, , 2012.

, Group-wise registration of point sets for statistical shape models, IEEE Trans. Med. Imag, vol.31, issue.11, pp.2025-2034

[. Rister, Volumetric image registration from invariant keypoints, IEEE Trans. Image Processing, vol.26, issue.10, pp.4900-4910, 2017.

R. , M. Robinson, D. Milanfar, and P. , Fundamental performance limits in image registration, IEEE Trans. Image Processing, vol.13, issue.9, pp.1185-1199, 2004.

T. Rohlfing, Image similarity and tissue overlaps as surrogates for image registration accuracy : Widely used but unreliable, IEEE Trans. Med. Imag, vol.31, issue.2, pp.153-163, 2012.

J. Rossignac, EdgeBreaker : Connectivity Compression for Triangle Meshes, IEEE Transactions on Visualization and Computer Graphics, 1999.

[. Rother, GrabCut" : interactive foreground extraction using iterated graph cuts, ACM SIGGRAPH, pp.309-314, 2004.

A. Said and W. Pearlman, A new, fast, and efficient image codec based on set partitioning in hierarchical trees, IEEE Transactions on Circuits and Systems for Video Technology, vol.6, issue.3, pp.243-250, 1996.

S. Valette and ;. Scahill, A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging, Archives of Neurology, vol.60, issue.7, pp.989-994, 2003.

W. ;. Schaefer, S. Schaefer, J. Warren, and . Schnabel, Fast vector quantization for efficient rendering of compressed point-clouds, Proceedings of SIAM Geometric Design and Computing, vol.32, pp.246-259, 2003.

R. Schnabel and R. Klein, Octree-based point-cloud compression, Symposium on Point-Based Graphics, 2006.

. Schreiner, Inter-surface mapping, ACM Transactions on Graphics, vol.23, pp.870-877, 2004.

P. H. Schönemann, A generalized solution of the orthogonal procrustes problem, Psychometrika, vol.31, issue.1, pp.1-10, 1966.

. Seifert, Hierarchical parsing and semantic navigation of full body CT data, SPIE Medical Imaging, pp.762808-762808, 2009.

L. ;. Shepp, L. Shepp, and B. Logan, The fourier reconstruction of a head section, IEEE Trans. Nucl. Sci, vol.21, issue.3, pp.21-43, 1974.

J. R. Shewchuk, What is a good linear finite element ? -interpolation, conditioning, anisotropy, and quality measures, Proc. of the 11th International Meshing Roundtable, 2002.

. Shotton, , 2009.

, TextonBoost for image understanding : Multi-class object recognition and segmentation by jointly modeling texture, layout, and context, Int. J. of Comput. Vision, vol.81, issue.1, pp.2-23

[. Siauve, , 2004.

, Optimization of the sources in local hyperthermia using a combined finite element-genetic algorithm method, International Journal of Hyperthermia, vol.20, issue.8, pp.815-833

[. Sifri, Geodesic-based surface remeshing, International Meshing Roundtable, 2003.

[. Silver, , 2016.

S. Dieleman, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever et al., Mastering the game of Go with deep neural networks and tree search, Nature, vol.529, issue.7587, pp.484-489, 2016.

[. Silver, Mastering the game of go without human knowledge, Nature, vol.550, p.354, 2017.

R. B. Simpson, Anisotropic mesh transformations and optimal error control, Applied Numerical Mathematics, vol.14, issue.1-3, pp.183-198, 1994.

[. Smith, Progressive encoding and compression of surfaces generated from point cloud data, Computers & Graphics, vol.36, issue.5, pp.341-348, 2012.

. Song, Adaptive graph cuts with tissue priors for brain MRI segmentation, 3rd IEEE Int. Symp. on Biomedical Imaging, pp.762-765, 2006.

. Sotiras, Deformable medical image registration : A survey, IEEE Trans. Med. Imag, vol.32, issue.7, pp.1153-1190, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00684715

. Suh, Whole body nonrigid ct-pet registration using weighted demons, 2011 IEEE International Symposium on Biomedical Imaging : From Nano to Macro, pp.1223-1226, 2011.

[. Surazhsky, Isotropic remeshing of surfaces : a local parameterization approach, Proceedings of 12th International Meshing Roundtable, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00071612

G. Surazhsky, V. Surazhsky, and C. Gotsman, Explicit surface remeshing, Proceedings of the ACM/Eurographics Symposium on Geometry Processing, 2003.

C. Szeliski, R. Szeliski, and J. Coughlan, Spline-based image registration, International Journal of Computer Vision, vol.22, issue.3, pp.199-218, 1997.

. Taubin, , 1998.

, Progressive Forest Split Compression, ACM Siggraph 98 Conference Proceedings, pp.123-132

. Tong, Discriminative dictionary learning for abdominal multi-organ segmentation, Med. Image Anal, vol.23, issue.1, pp.92-104, 2015.

G. Touma, C. Touma, and C. Gotsman, Triangle Mesh Compression, Graphics Interface 98 Conference Proceedings, pp.26-34, 1998.

. Tournois, , 2009.

, Interleaving delaunay refinement and optimization for practical isotropic tetrahedron mesh generation, ACM SIGGRAPH 2009 Papers, SIGGRAPH '09, vol.75, pp.1-75

S. Valette and ;. Triggs, Bundle adjustment -a modern synthesis, Vision Algorithms : Theory and Practice, pp.298-372, 2000.

G. Turk, Re-tiling polygonal surfaces, Computer Graphics, vol.26, issue.2, pp.55-64, 1992.

W. Tutte, A Census of Planar Triangulations, Canadian Journal of Mathematics, vol.14, pp.21-38, 1962.

[. Valette, Compression of 3d triangular meshes with progressive precision, Computers and Graphics, vol.28, issue.1, pp.35-42, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00537022

[. Valette, Adaptive polygonal mesh simplification with discrete centroidal voronoi diagrams, proceedings of 2nd International Conference on Machine Intelligence ICMI 2005, pp.655-662, 2005.

[. Valette, Generic remeshing of 3d triangular meshes with metric-dependent discrete voronoi diagrams, IEEE Trans Visu Comp Grap, vol.14, issue.2, pp.369-381, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00537025

[. Valette, Progressive lossless mesh compression via incremental parametric refinement, Proceedings of Symposium on Geometry Processing, vol.28, pp.1301-1310, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00533562

C. Valette, S. Valette, and J. Chassery, Approximated centroidal voronoi diagrams for uniform polygonal mesh coarsening, Computer Graphics Forum, vol.23, issue.3, pp.381-389, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00534535

S. Valette and R. Prost, Wavelet based multiresolution analysis of irregular surface meshes, IEEE Trans Visu Comp Grap, vol.10, issue.2, pp.113-122, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00537010

S. Valette and R. Prost, A wavelet-based progressive compression scheme for triangle meshes : Wavemesh, IEEE Trans Visu Comp Grap, vol.10, issue.2, pp.123-129, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00537014

[. Veksler, Non-parametric diffeomorphic image registration with the demons algorithm, International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.150-156, 2005.

L. Vincent and P. Soille, Watersheds in digital spaces : an efficient algorithm based on immersion simulations, IEEE Trans. Pattern Anal. Mach. Intell, vol.13, issue.6, pp.583-598, 1991.

N. Vineet, V. Vineet, and P. Narayanan, CUDA cuts : Fast graph cuts on the GPU, IEEE Computer Society Conf. on Computer Vision and Pattern Recognition Workshops, pp.1-8, 2008.

, Segmentation Leaderboard, pp.2017-2027, 2017.

. Vovk, A review of methods for correction of intensity inhomogeneity in MRI, IEEE Trans. Med. Imag, vol.26, issue.3, pp.405-421, 2007.

M. Vu, N. Vu, and B. Manjunath, Shape prior segmentation of multiple objects with graph cuts, 26th IEEE Conf. on Computer Vision and Pattern Recognition, 2008.

[. Wachinger, Keypoint transfer segmentation, Inf. Process. in Med. Imaging, vol.9123, p.233, 2015.

[. Wachinger, Keypoint transfer for fast whole-body segmentation, IEEE Transactions on Medical Imaging, 2018.

K. Wagner, Bemerkung zum vierfarbenproblem, Jber. Deutsch. Math.-Verein, vol.46, pp.26-32, 1936.

. Wang, Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence, Computer Vision and Pattern Recognition (CVPR), 2006 IEEE Conference on, vol.1, pp.1283-1288, 2006.

. Wang, Action recognition by dense trajectories, Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pp.3169-3176, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00583818

. Wang, Geodesic patch-based segmentation, Proc. MICCAI Conf, pp.666-673, 2014.

S. Wang, C. Wang, and O. Smedby, Automatic multi-organ segmentation using fast model based level set method and hierarchical shape priors, 2014.

, Proc. ISBI Visceral Challenge, vol.1194, pp.25-31

Y. Wang, H. Wang, and P. Yushkevich, , 2013.

, Multi-atlas segmentation with joint label fusion and corrective learning -an open source implementation, Frontiers in neuroinformatics, vol.7, p.27

S. Valette and ;. Wardziak, Modelling skin surface areas involved in water transfer in the palmate newt (lissotriton helveticus), Canadian Journal Of Zoology, vol.92, issue.8, pp.707-714, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01077162

T. Welch, A technique for high-performance data compression, Computer, vol.17, issue.6, pp.8-19, 1984.

R. J. Williams, Simple statistical gradient-following algorithms for connectionist reinforcement learning, Machine Learning, vol.8, pp.229-256, 1992.

S. Winn, J. Winn, and J. Shotton, The layout consistent random field for recognizing and segmenting partially occluded objects, IEEE Conf. on Computer Vision and Pattern Recognition, vol.1, pp.37-44, 2006.

. Winterstein, Data set for first competition, 2013.

[. Wolz, Automated abdominal multi-organ segmentation with subject-specific atlas generation, IEEE Trans. Med. Imag, vol.32, issue.9, pp.1723-1730, 2013.

[. Wu, Sharpmean : groupwise registration guided by sharp mean image and tree-based registration, NeuroImage, vol.56, issue.4, pp.1968-1981, 2011.

[. Wu, Feature-based groupwise registration by hierarchical anatomical correspondence detection, Human Brain Mapping, vol.33, issue.2, pp.253-271, 2012.

K. Wu, J. Wu, and L. Kobbelt, A stream algorithm for the decimation of massive meshes, Graphics Interface Proceedings, pp.185-192, 2003.

. Xu, Shape-constrained multi-atlas segmentation of spleen in CT, Proc. of SPIE-Int, vol.9034, p.903446, 2014.

. Xu, Evaluation of six registration methods for the human abdomen on clinically acquired ct, IEEE Transactions on Biomedical Engineering, vol.63, issue.8, pp.1563-1572, 2016.

. Xu, Evaluation of six registration methods for the human abdomen on clinically acquired ct, IEEE Trans. Biomed. Eng, vol.63, issue.8, pp.1563-1572, 2016.

Y. , Automatic kidney segmentation in CT images based on multi-atlas image registration, Proc. IEEE EMBC conf, pp.5538-5541, 2014.

[. Yi, Lift : Learned invariant feature transform, ECCV, 2016.

Y. , Hierarchical unbiased graph shrinkage (HUGS) : a novel groupwise registration for large data set, NeuroImage, vol.84, pp.626-638, 2014.

P. Zhang and T. F. Cootes, Automatic construction of parts+geometry models for initializing groupwise registration, IEEE Trans. Med. Imag, vol.31, issue.2, pp.341-358, 2012.

. Zheng, Interest point based medical image retrieval, Medical Imaging and Informatics, pp.118-124, 2008.

[. Zhu, , 2013.

X. Hu, J. Han, L. Wang, D. Shen, L. S. Miller et al., DICCCOL : Dense individualized and common connectivity-based cortical landmarks, Cerebral Cortex, vol.23, issue.4, pp.786-800, 2013.

. Çiçek, , 2016.

S. In-ourselin, L. Joskowicz, M. R. Sabuncu, G. Unal, and W. Wells, Medical Image Computing and Computer-Assisted Intervention -MICCAI 2016, pp.424-432

, Sébastien Valette