A. Besbes, N. Komodakis, and B. Glocker, Georgios Tziritas and Nikos Paragios. 4D Ventricular Segmentation and Wall Motion Estimation Using Ecient Discrete Optimization, ISVC '07: Advances in Visual Computing, p.189198, 2007.

A. Besbes, N. Komodakis, G. Langs, and N. Paragios, Shape priors and discrete MRFs for knowledge-based segmentation, 2009 IEEE Conference on Computer Vision and Pattern Recognition, p.12951302, 2009.
DOI : 10.1109/CVPR.2009.5206649

A. Besbes, N. Komodakis, and N. Paragios, Graph-based knowledge-driven discrete segmentation of the left ventricle, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, p.4952, 2009.
DOI : 10.1109/ISBI.2009.5192980

A. Besbes and N. Paragios, Landmark-based segmentation of lungs while handling partial correspondences using sparse graph-based priors, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011.
DOI : 10.1109/ISBI.2011.5872568

URL : https://hal.archives-ouvertes.fr/hal-00856125

Y. Ou, A. Besbes, M. Bilello, M. Mansour, C. Davatzikos et al., Detecting Landmark Pairs by Mutual-Saliency and MRF Regularization, ISBI '10: Proceedings of the 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010.
DOI : 10.1109/isbi.2010.5490324

N. Komodakis, A. Besbes, B. Glocker, and N. Paragios, Biomedical Image Analysis Using Markov Random Fields & Ecient Linear Programming, EMBC'09: International Conference of the IEEE Engineering in Medicine and Biology Society, 2009.

A. Besbes, N. Paragios, and N. Komodakis, Cue Integration and Discrete MRFs towards Knowledge-based Segmentation and Tracking, Research report, vol.6831, 2009.
DOI : 10.1109/cvpr.2009.5206649

URL : https://hal.archives-ouvertes.fr/inria-00359612

A. Nahed, Robust Active Shape Models: A Robust, Generic and Simple Automatic Segmentation Tool, MICCAI '06: Proceedings of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention, p.71, 2006.

. Alcantara, Exploration of Shape Variation Using Localized Components Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.8, pp.1510-1516, 2009.
DOI : 10.1109/TPAMI.2008.287

&. Andreopoulos, A. Andreopoulos, and J. K. Tsotsos, Ecient and Generalizable Statistical Models of Shape and Appearance for Analysis of Cardiac MRI, Medical Image Analysis, vol.12, issue.3, pp.335357-73, 2008.

. Bardinet, Superquadrics and Free-Form Deformations: A Global Model to Fit and Track 3D Medical Data, CVRMed '95: Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine, pp.319326-319340, 1995.
DOI : 10.1007/978-3-540-49197-2_41

URL : https://hal.archives-ouvertes.fr/inria-00615749

. Bardinet, A Parametric Deformable Model to Fit Unstructured 3D Data, Computer Vision and Image Understanding, vol.71, issue.1, p.3954, 1998.
DOI : 10.1006/cviu.1997.0595

URL : https://hal.archives-ouvertes.fr/inria-00615039

. Behiels, Active Shape Model-Based Segmentation of Digital X-ray Images, MICCAI '99: Proceedings of the 2nd International Conference on Medical Image Computing and Computer Assisted Intervention, pp.128137-71, 1999.
DOI : 10.1007/10704282_14

. Belongie, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.509522-509538, 2002.
DOI : 10.1109/34.993558

[. Ayed, Left Ventricle Segmentation via Graph Cut Distribution Matching, MICCAI '09: Proceedings of the 12th International Conference on Medical Image Computing and Computer Assisted Intervention, p.82, 2009.

. Bilbro, Van den Bout and Mark White. Optimization by Mean Field Annealing, NIPS '89: Advances in Neural Information Processing Systems 2, pp.9198-56, 1989.

A. D. Jepson, EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation, International Journal of Computer Vision, vol.26, issue.1, pp.6384-133, 1998.

. Blake, Interactive Image Segmentation Using an Adaptive GMMRF Model, ECCV '04: Proceedings of the 8th European Conference on Computer Vision, pp.428441-74, 2004.
DOI : 10.1007/978-3-540-24670-1_33

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.980

]. Blum, Biological Shape and Visual Science, Theoretical Biology, vol.38, issue.2, pp.205287-205301, 1973.

F. L. Bookstein, Principal warps: thin-plate splines and the decomposition of deformations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.6, p.567585, 1989.
DOI : 10.1109/34.24792

&. Boykov and . Funka-lea, Yuri Boykov and Gareth Funka-Lea. Graph Cuts and Ecient N-D Image Segmentation, International Journal of Computer Vision, vol.70, issue.66, pp.109131-55, 2006.

Y. Boykov and M. Jolly, Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.105112-86, 2001.
DOI : 10.1109/ICCV.2001.937505

&. Kolmogorov, Y. Boykov, and V. Kolmogorov, An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.9, pp.11241137-58, 2004.

. Boykov, Markov Random Fields with Ecient Approximations, CVPR '98: Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition, pp.648655-59, 1998.

. Boykov, Fast Approximate Energy Minimization via Graph Cuts, ICCV '99: Proceedings of the 7th IEEE International Conference on Computer Vision, pp.377384-57, 1999.
DOI : 10.1109/iccv.1999.791245

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.6806

. Boykov, Fast Approximate Energy Minimization via Graph Cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.59, pp.12221239-93, 2001.
DOI : 10.1109/iccv.1999.791245

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.6806

&. Cai and . Maray, Leizhen Cai and Frédéric Maray. On the SPANNING k-TREE problem, Discrete Applied Mathematics, vol.44, issue.13, pp.139156-139189, 1993.

. Caselles, Geodesic active contours, Proceedings of IEEE International Conference on Computer Vision, pp.6179-67, 1997.
DOI : 10.1109/ICCV.1995.466871

. Chakraborty, Amit Chakraborty, 1996.

. Duncan, Deformable Boundary Finding in Medical Images by Integrating Gradient and Region Information, IEEE Transactions on Medical Imaging, vol.15, issue.67, pp.859870-859885, 1996.

&. Vese, T. F. Chan, and L. A. Vese, Active Contours without Edges, IEEE Transactions on Image Processing, vol.10, issue.2, pp.266277-67, 2001.

T. Chan and W. Zhu, Level Set Based Shape Prior Segmentation, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.11641170-80, 2005.
DOI : 10.1109/CVPR.2005.212

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.6931

B. Paul, C. M. Chou, and . Brown, The Theory and Practice of Bayesian Image Labeling, International Journal of Computer Vision, vol.4, issue.3, pp.185210-56, 1990.

&. Chui and . Rangarajan, Haili Chui and Anand Rangarajan. A New Algorithm for Non-Rigid Point Matching, CVPR '00: Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition, pp.4451-71, 2000.

L. D. Cohen, On active contour models and balloons, CVGIP: Image Understanding, vol.53, issue.2, 1991.
DOI : 10.1016/1049-9660(91)90028-N

&. Coifman and . Lafon, Coifman and Stéphane Lafon. Diusion Maps, Applied and Computational Harmonic Analysis, vol.21, issue.19, pp.530-564, 2006.

&. Comaniciu and . Meer, Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.5, pp.603-619, 2002.
DOI : 10.1109/34.1000236

&. Taylor, F. Tim, C. J. Cootes, and . Taylor, Active Shape Models: Smart Snakes, BMVC '92: Proceedings of the British Machine Vision Conference, p.68, 1992.

&. Cootes, F. Taylor-tim, C. J. Cootes, and . Taylor, Data Driven Renement of Active Shape Model Search, BMVC '96: Proceedings of the British Machine Vision Conference, 1996.

&. Cootes, F. Taylor-tim, C. J. Cootes, and . Taylor, A mixture model for representing shape variation, Image and Vision Computing, vol.17, issue.8, p.567574, 1999.
DOI : 10.1016/S0262-8856(98)00175-9

. Cootes, Active Shape Models-Their Training and Application, Computer Vision and Image Understanding, vol.61, issue.1, pp.3859-3879, 1995.
DOI : 10.1006/cviu.1995.1004

URL : https://www.escholar.manchester.ac.uk/api/datastream?publicationPid=uk-ac-man-scw:1d1862&datastreamId=POST-PEER-REVIEW-PUBLISHERS.PDF

. Taylor, Active Appearance Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.72, pp.681685-99, 2001.

&. Coughlan, M. Ferreira-james, S. J. Coughlan, and . Ferreira, Finding Deformable Shapes Using Loopy Belief Propagation, ECCV '02: Proceedings of the 7th European Conference on Computer Vision, p.16, 2002.
DOI : 10.1007/3-540-47977-5_30

. Coughlan, James Coughlan, Alan Yuille, Camper English and Dan Snow. Ecient Deformable Template Detection and Localization without User Initialization, Computer Vision and Image Understanding, vol.78, issue.3, pp.303319-303334, 2000.

. Crandall, Spatial Priors for Part-Based Recognition Using Statistical Models, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.1017-1057, 2005.
DOI : 10.1109/CVPR.2005.329

&. Cremers and . Grady, Statistical Priors for Ecient Combinatorial Optimization Via Graph Cuts, ECCV '06: Proceedings of the 9th European Conference on Computer Vision, pp.263274-263303, 2006.

. Cremers, Diusion-Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework, Proceedings of the 1st International Workshop on Variational, Geometric, and Level Set Methods in Computer Vision, pp.137144-137155, 2001.

. Cremers, Nonlinear Shape Statistics in MumfordShah Based Segmentation, ECCV '02: Proceedings of the 7th European Conference on Computer Vision, p.93108, 2002.

. Cremers, Diusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional, International Journal of Computer Vision, vol.50, issue.3 10, p.295313, 2002.

. Cremers, Daniel Cremers, Mikaël Rousson and Rachid Deriche. A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape, International Journal of Computer Vision, vol.72, issue.2, pp.195215-66, 2007.

. Das, Semiautomatic segmentation with compact shape prior, Image and Vision Computing, vol.27, issue.1-2, pp.206219-77, 2009.
DOI : 10.1016/j.imavis.2008.02.006

. Davatzikos, Christos Davatzikos, Xiaodong Tao and Dinggang Shen. Hierarchical Active Shape Models, Using the Wavelet Transform, IEEE Transactions on Medical Imaging, vol.22, issue.3, p.414423, 2003.

. Davies, A minimum description length approach to statistical shape modeling, IEEE Transactions on Medical Imaging, vol.21, issue.5, p.525537, 2002.
DOI : 10.1109/TMI.2002.1009388

&. Bruijne, M. Nielsen-marleen-de-bruijne, and . Nielsen, Shape Particle Filtering for Image Segmentation, MICCAI '04: Proceedings of the 7th International Conference on Medical Image Computing and Computer Assisted Intervention, pp.168175-70, 2004.

&. Bruijne and . Nielsen, Marleen de Bruijne and Mads Nielsen Multiobject Segmentation Using Shape Particles, IPMI '05: Proceedings of the 19th International Conference on Information Processing in Medical Imaging, pp.762773-70, 2005.

. De-bruijne, Model-based segmentation of abdominal aortic aneurysms in CTA images, Medical Imaging 2003: Image Processing, p.70, 2003.
DOI : 10.1117/12.481367

. Donner, Philipp Peloschek and Horst Bischof. Fast Active Appearance Model Search Using Canonical Correlation Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, p.16901694, 2006.

. Donner, Sparse MRF Appearance Models for Fast Anatomical Structure Localisation, Procedings of the British Machine Vision Conference 2007, p.111, 2007.
DOI : 10.5244/C.21.109

. Donner, Object Localization Based on Markov Random Fields and Symmetry Interest Points, MICCAI '07: Proceedings of the 10th International Conference on Medical Image Computing and Computer Assisted Intervention, pp.460468-84, 2007.
DOI : 10.1007/978-3-540-75759-7_56

. Donner, Weakly Supervised Group-Wise Model Learning Based on Discrete Optimization, International Conference on Medical Image Computing and Computer Assisted Intervention, p.84, 2009.
DOI : 10.1007/978-3-642-04271-3_104

. Donner, Generalized sparse MRF appearance models, Image and Vision Computing, vol.28, issue.6, pp.10311038-85, 2010.
DOI : 10.1016/j.imavis.2009.07.010

. Etyngier, Patrick Etyngier, Florent Ségonne and Renaud Keriven Shape Priors using Manifold Learning Techniques, ICCV '07: Proceedings of the 11th IEEE International Conference on Computer Vision, pp.18-31, 2007.

&. Felzenszwalb, F. Huttenlocher-pedro, D. P. Felzenszwalb, and . Huttenlocher, Ecient Matching of Pictorial Structures, CVPR '00: Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition, pp.6673-6690, 2000.

F. Pedro, D. P. Felzenszwalb, and . Huttenlocher, Pictorial Structures for Object Recognition, International Journal of Computer Vision, vol.61, issue.83, pp.5579-5604, 2005.

F. Pedro and . Felzenszwalb, Representation and Detection of Deformable Shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.83, pp.208220-85, 2005.

&. Fischler, A. Martin, R. C. Fischler, and . Bolles, Random Sample Consensus: a Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography, Commumications of the ACM, vol.24, issue.6, pp.381395-71, 1981.

&. Fischler, A. Elschlager-martin, R. A. Fischler, and . Elschlager, The Representation and Matching of Pictorial Structures, IEEE Transactions on Computers, vol.22, issue.1, pp.6792-6809, 1973.
DOI : 10.1109/T-C.1973.223602

. Fletcher, Principal Geodesic Analysis for the Study of Nonlinear Statistics of Shape, IEEE Transactions on Medical Imaging, vol.23, issue.8, pp.9951005-9951019, 2004.
DOI : 10.1109/TMI.2004.831793

&. Freedman, T. Zhang-freedman, and . Zhang, Interactive Graph Cut Based Segmentation with Shape Priors, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.755762-82, 2005.
DOI : 10.1109/CVPR.2005.191

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.1204

&. Freeman, T. William, E. H. Freeman, and . Adelson, The design and use of steerable filters, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.9, p.891906, 1991.
DOI : 10.1109/34.93808

&. Freund, R. E. Freund, and . Schapire, Experiments with a New Boosting Algorithm, Proceedings of the 13th International Conference on Machine Learning, p.107, 1996.

R. E. Schapire, A Decision- Theoretic Generalization of On-Line Learning and an Application to Boosting, Journal of Computer and System Sciences, vol.55, issue.1, pp.119139-70, 1997.

. Funka-lea, Automatic Heart Isolation for CT Coronary Visualization Using Graph-Cuts, 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., pp.614617-77, 2006.
DOI : 10.1109/ISBI.2006.1624991

&. Geman, S. Geman, D. Geman, and . Geman, Stochastic Relaxation , Gibbs Distributions, and the Bayesian Restoration of Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, issue.6, pp.721741-55, 1984.

. Glocker, Georgios Tziritas and Nassir Navab. Inter and Intra-Modal Deformable Registration: Continuous Deformations Meet Ecient Optimal Linear Programming, IPMI '07: Proceedings of the 20th International Conference on Information Processing in Medical Imaging, p.91, 2007.

. Glocker, Nassir Navab and Nikos Paragios. Dense Image Registration through MRFs and Ecient Linear Programming, Medical Image Analysis, vol.12, issue.6, pp.731741-86, 2008.

. Glocker, Nassir Navab, Georgios Tziritas and Nikos Paragios. Dense Registration with Deformation Priors, IPMI '09: Proceedings of the 21th International Conference on Information Processing in Medical Imaging, p.28, 2009.

&. Goldberg, V. Andrew, R. E. Goldberg, and . Tarjan, A New Approach to the Maximum-Flow Problem, Journal of the ACM, vol.35, issue.4, pp.921940-58, 1988.

. Grady, Yiyong Sun and James Williams. Handbook of Mathematical Models of Computer Vision, chapter: Interactive Graph- Based Segmentation Methods in Cardiovascular Imaging, p.453469, 2005.

. Greig, Exact Maximum a Posterori Estimation for Binary Images, Journal of the Royal Statistical Society, vol.51, issue.56, pp.271279-57, 1989.

. Gross, Active appearance models with occlusion, Image and Vision Computing, vol.24, issue.6, pp.593604-99, 2006.
DOI : 10.1016/j.imavis.2005.08.001

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.68.7099

. Gu, Learning GMRF Structures for Spatial Priors, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.382982

. Hammer, Roof duality, complementation and persistency in quadratic 0???1 optimization, Mathematical Programming, pp.121155-58, 1984.
DOI : 10.1007/BF02612354

D. Hogg, Improving Specicity in PDMs using a Hierarchical Approach, BMVC '97: Proceedings of the British Machine Vision Conference, 1997.

H. Meinzer, Statistical Shape Models for 3D Medical Image Segmentation: A Review, Medical Image Analysis, vol.13, issue.7, pp.543563-66, 2009.

. Hong, Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation, CVPR '06: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition, pp.833840-833856, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00590199

. Hyvärinen, Aapo Hyvärinen, Juha Karhunen and Erkki Oja. Independent component analysis, 2001.

&. Blake and A. Blake, Condensation Conditional Density Propagation for Visual Tracking, International Journal of Computer Vision, vol.29, issue.70, pp.528-133, 1998.

&. Ishikawa and . Jermyn, Hiroshi Ishikawa and Ian H. Jermyn. Region Extraction from Multiple Images, CVPR '01: Proceedings of the, 2001.

. Jain, Deformable template models: A review, Signal Processing, vol.71, issue.2, pp.109129-66, 1998.
DOI : 10.1016/S0165-1684(98)00139-X

&. Jermyn and . Ishikawa, Jermyn and Hiroshi Ishikawa. Globally Optimal Regions and Boundaries as Minimum Ratio Weight Cycles, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.10, pp.10751088-81, 2001.

F. Jiao and S. Li, Heung-Yeung Shum and Dale Schuurmans . Face Alignment Using Statistical Models and Wavelet Features

&. Joshi and . Miller, Joshi and Michael I. Miller. Landmark Matching via Large Deformation Dieomorphisms, IEEE Transactions on Image Processing, vol.9, issue.8, pp.13571370-124, 2000.

&. Kadir and . Brady, Timor Kadir and Michael Brady. Saliency, Scale and Image Description, International Journal of Computer Vision, vol.45, issue.124, pp.83105-126, 2001.

E. Rudolph and . Kalman, A New Approach to Linear Filtering and Prediction Problems, Transactions of the ASME Journal of Basic Engineering, vol.82, pp.3545-133, 1960.

. Kelemen, Elastic model-based segmentation of 3-D neuroradiological data sets, IEEE Transactions on Medical Imaging, vol.18, issue.10, pp.828839-828854, 1999.
DOI : 10.1109/42.811260

. Kichenassamy, Gradient flows and geometric active contour models, Proceedings of IEEE International Conference on Computer Vision, p.67, 1995.
DOI : 10.1109/ICCV.1995.466855

URL : https://hal.archives-ouvertes.fr/hal-00002665

. Vecchi, Optimization by Simulated Annealing, Science, vol.220, issue.4598, pp.671680-56, 1983.

. Kohli, Simultaneous Segmentation and Pose Estimation of Humans Using??Dynamic Graph Cuts, International Journal of Computer Vision, vol.57, issue.3, pp.285298-134, 2008.
DOI : 10.1007/s11263-007-0120-6

&. Kolmogorov and . Rother, Vladimir Kolmogorov and Carsten Rother. Minimizing Nonsubmodular Functions with Graph CutsA Review, 2007.

V. Kolmogorov and M. J. Wainwright, On the Optimality of Tree-reweighted Max-product Messagepassing, UAI '05: Proceedings of the 21st Conference on Uncertainty in Articial Intelligence, pp.316323-64, 2005.

V. Kolmogorov and R. Zabih, What Energy Functions Can Be Minimized via Graph Cuts?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.2, pp.147159-58, 2004.
DOI : 10.1109/tpami.2004.1262177

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.1823

V. Kolmogorov, Convergent Tree-Reweighted Message Passing for Energy Minimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, pp.15681583-64, 2006.
DOI : 10.1109/TPAMI.2006.200

&. Komodakis and . Paragios, Nikos Komodakis and Nikos Paragios Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles, ECCV '08: Proceedings of the 10th European Conference on Computer Vision, pp.806820-65, 2008.

. Komodakis, Nikos Komodakis, Nikos Paragios and Georgios Tziritas . MRF Optimization via Dual Decomposition: Message-Passing Revisited, ICCV '07: Proceedings of the 11th IEEE International Conference on Computer Vision, pp.18-64, 2007.

. Komodakis, Clustering via LP-based Stabilities, NIPS '08: Advances in Neural Information Processing Systems 21, p.39, 2008.

. Komodakis, Performance vs Computational Eciency for Optimizing Single and Dynamic MRFs: Setting the State of the Art with Primal Dual Strategies, Computer Vision and Image Understanding, vol.112, issue.111, pp.1429-1454, 2008.

. Kschischang, Factor graphs and the sum-product algorithm, IEEE Transactions on Information Theory, vol.47, issue.2, p.498519, 2001.
DOI : 10.1109/18.910572

. Kumar, Solving Markov Random Fields using Second Order Cone Programming Relaxations, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.10451052-64, 2006.
DOI : 10.1109/CVPR.2006.283

. Kumar, OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.3, pp.530545-96, 2010.
DOI : 10.1109/TPAMI.2009.16

URL : https://hal.archives-ouvertes.fr/hal-00773609

&. Langs and . Paragios, Georg Langs and Nikos Paragios. Modeling the Structure of Multivariate Manifolds: Shape Maps, CVPR '08: Proceedings of the 2008 Conference on Computer Vision and Pattern Recognition, pp.34-35, 2008.

. Langs, Active Feature Models, 18th International Conference on Pattern Recognition (ICPR'06), pp.417420-69, 2006.
DOI : 10.1109/ICPR.2006.207

&. Leordeanu and . Hebert, Marius Leordeanu and Martial Hebert. A Spectral Technique for Correspondence Problems Using Pairwise Constraints, 2005.

. Leventon, Statistical Shape Inuence in Geodesic Active Contours, CVPR '00: Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition, pp.316323-316335, 2000.

&. Li, W. Li, and . Ito, Shape Parameter Optimization for AdaBoosted Active Shape Model, ICCV '05: Proceedings of the 10th IEEE International Conference on Computer Vision, pp.251258-70, 2005.

. Li, Active Shape Model Segmentation Using Local Edge Structures and AdaBoost, Medical Imaging and Augmented Reality, p.70, 2004.
DOI : 10.1007/978-3-540-28626-4_15

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.6672

. Li, Optimal Surface Segmentation in Volumetric Images -A Graph-Theoretic Approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.1, pp.119134-74, 2006.

. Lin, Modelbased Graph Cut Method for Segmentation of the Left Ventricle, EMBS '05: Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3059-3062, 2005.

. Liu, Local frequency representations for robust multimodal image registration, IEEE Transactions on Medical Imaging, vol.21, issue.5, pp.462469-126, 2002.
DOI : 10.1109/TMI.2002.1009382

G. David and . Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91110-105, 2004.

. Malcolm, Graph Cut Segmentation with Nonlinear Shape Priors, 2007 IEEE International Conference on Image Processing, pp.365368-82, 2007.
DOI : 10.1109/ICIP.2007.4380030

. Malladi, Shape modeling with front propagation: a level set approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.2, pp.158175-67, 1995.
DOI : 10.1109/34.368173

&. Mallows, . L. Clark-1970-]-c, J. M. Mallows, and . Clark, Linear Intercept Distributions Do Not Characterize Plane Sets, Journal of Applied Probability, vol.7, pp.240244-240264, 1970.
DOI : 10.2307/3212164

. Manay, Integral Invariants for Shape Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, pp.16021618-16021634, 2006.

S. Matthews and . Baker, Active Appearance Models Revisited, International Journal of Computer Vision, vol.60, issue.2, pp.135164-73, 2004.
DOI : 10.1023/B:VISI.0000029666.37597.d3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.8544

&. Meir and . Rätsch, Ron Meir and Gunnar Rätsch. An Introduction to Boosting and Leveraging, Advanced lectures on machine learning, pp.118183-107, 2003.

D. Metaxas and D. Terzopoulos, Shape and nonrigid motion estimation through physics-based synthesis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.15, issue.6, pp.580591-580604, 1993.
DOI : 10.1109/34.216727

. Montagnat, Johan Montagnat, Hervé Delingette and Grégoire Malandain. Cylindrical Echocardiographic Image Segmentation Based on 3D Deformable Models, MICCAI '99: Proceedings of the 2nd International Conference on Medical Image Computing and Computer Assisted Intervention, pp.168175-67, 1999.

. Montagnat, A review of deformable surfaces: topology, geometry and deformation, Image and Vision Computing, vol.19, issue.14, pp.1023-1040, 2001.
DOI : 10.1016/S0262-8856(01)00064-6

URL : https://hal.archives-ouvertes.fr/inria-00615110

&. Mumford, D. Shah, J. Mumford, and . Shah, Optimal approximations by piecewise smooth functions and associated variational problems, Communications on Pure and Applied Mathematics, vol.3, issue.5, pp.577685-67, 1989.
DOI : 10.1002/cpa.3160420503

M. Masakazu and T. Suzuki, A New Second-order Cone Programming Relaxation for MAX-CUT Problems, Journal of Operations Research of Japan, vol.46, issue.2, pp.164177-64, 2003.

&. Osher, S. Sethian, J. A. Osher, and . Sethian, Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations, Journal of Computational Physics, vol.79, issue.1, pp.1249-67, 1988.
DOI : 10.1016/0021-9991(88)90002-2

&. Paragios and . Deriche, Nikos Paragios and Rachid Deriche Unifying Boundary and Region-Based Information for Geodesic Active Tracking, CVPR '99: Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition, pp.23002305-133, 1999.

&. Paragios and . Deriche, Nikos Paragios and Rachid Deriche Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach, ECCV '00: Proceedings of the 6th European Conference on Computer Vision, pp.224240-67, 2000.

. Pizer, Segmentation, registration, and measurement of shape variation via image object shape, IEEE Transactions on Medical Imaging, vol.18, issue.10, p.851865, 1999.
DOI : 10.1109/42.811263

. Pizer, Multiscale medial shape-based analysis of image objects, Proceedings of the IEEE, vol.91, issue.10, 2003.
DOI : 10.1109/JPROC.2003.817876

. Pohl, Logarithm Odds Maps for Shape Representation, MICCAI '06: Proceedings of the 9th International Conference on Medical Image Computing and Computer Assisted Intervention, pp.955963-955976, 2006.
DOI : 10.1007/11866763_117

. Pohl, Using the Logarithm of Odds to Dene a Vector Space on Probabilistic Atlases, Medical Image Analysis, vol.11, issue.6, pp.465477-465490, 2007.

. Qu, Segmentation in noisy medical images using PCA model based particle filtering, Medical Imaging 2008: Image Processing, p.70, 2008.
DOI : 10.1117/12.769852

&. Graham, R. , and J. Graham, Robust Active Shape Model Search, ECCV '02: Proceedings of the 7th European Conference on Computer Vision, pp.517530-71, 2002.

. Rohlng, The Handbook of Medical Image Analysis: Segmentation and Registration Models, chapter, pp.435486-66, 2005.

C. Rother, V. Kolmogorov, and A. Blake, GrabCut": Interactive Foreground Extraction using Iterated Graph Cuts, ACM Transactions on Graphics, vol.23, pp.309314-74, 2004.

. Rother, Digital Tapestry, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.589596-59, 2005.
DOI : 10.1109/CVPR.2005.130

&. Rousson and . Paragios, Mikaël Rousson and Nikos Paragios Shape Priors for Level Set Representations, ECCV '02: Proceedings of the 7th European Conference on Computer Vision, pp.7892-7904, 2002.

&. Rousson and . Paragios, Mikaël Rousson and Nikos Paragios. Prior Knowledge, Level Set Representations & Visual Grouping, International Journal of Computer Vision, vol.76, issue.3, p.231243, 2008.

&. Roy, . Cox-]-sébastien, I. J. Roy, and . Cox, A maximum-flow formulation of the N-camera stereo correspondence problem, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.492-59, 1998.
DOI : 10.1109/ICCV.1998.710763

&. Schapire and . Singer, Schapire and Yoram Singer. Improved Boosting Algorithms Using Condence-Rated Predictions, COLT'98: Proceedings of the 11th Annual Conference on Computational Learning Theory, pp.8091-107, 1998.

I. Mikhail and . Schlesinger, Sintaksicheskiy analiz dvumernykh zritelnikh signalov v usloviyakh pomekh (Syntactic Analysis of Two- Dimensional Visual Signals in Noisy Conditions), Kibernetika, vol.4, issue.61, pp.113130-84, 1976.

. Schölkopf, Nonlinear Component Analysis as a Kernel Eigenvalue Problem, Neural Computation, vol.20, issue.5, p.12991319, 1998.
DOI : 10.1007/BF02281970

. Seghers, Dirk Vandermeulen and Paul Suetens. Minimal Shape and Intensity Cost Path Segmentation, IEEE Transactions on Medical Imaging, vol.26, issue.113, pp.11151129-86, 2007.

. Seghers, Jeroen Hermans, Dirk Loeckx, Frederik Maes and Paul Suetens. Landmark Based Liver Segmentation Using Local Shape and Local Intensity Models, 3D Segmentation in The Clinic: A Grand Challenge, p.83, 2007.

. Seghers, Dirk Vandermeulen and Paul Suetens. Model-Based Segmentation Using Graph Representations, MICCAI '08: Proceedings of the 11th International Conference on Medical Image Computing and Computer Assisted Intervention, pp.393400-393429, 2008.

. Shen, Herskovits and Christos Davatzikos . An Adaptive-Focus Statistical Shape Model for Segmentation and Shape Modeling of 3-D Brain Structures, IEEE Transactions on Medical Imaging, vol.20, issue.4, pp.257270-257286, 2001.

&. Shi, J. Malik, J. Shi, and . Malik, Normalized Cuts and Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.888905-75, 2000.

&. Shi, C. Shi, and . Tomasi, Good features to track, CVPR '94: Proceedings of the 1994 Conference on Computer Vision and Pattern Recognition, p.133, 1994.

. Shiraishi, Development of a Digital Image Database for Chest Radiographs With and Without a Lung Nodule, American Journal of Roentgenology, vol.174, issue.1, pp.7174-112, 2000.
DOI : 10.2214/ajr.174.1.1740071

. Singaraju, P-brush: Continuous valued MRFs with normed pairwise distributions for image segmentation, 2009 IEEE Conference on Computer Vision and Pattern Recognition, p.76, 2009.
DOI : 10.1109/CVPR.2009.5206669

P. Stephen, A. K. Smith, and . Jain, Chord Distributions for Shape Matching, Computer Graphics and Image Processing, vol.20, issue.3, pp.259-271, 1982.

&. Staib, H. Duncan-lawrence, J. S. Staib, and . Duncan, Boundary finding with parametrically deformable models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.11, pp.10611075-10611090, 1992.
DOI : 10.1109/34.166621

&. Stegmann, B. Gomez-mikkel, D. Stegmann, and . Gomez, A Brief Introduction to Statistical Shape Analysis, p.96, 2002.

. Stegmann, Sparse modeling of landmark and texture variability using the orthomax criterion, Medical Imaging 2006: Image Processing, 2006.
DOI : 10.1117/12.651293

M. John and . Sullivan, A Crystalline Approximation Theorem for Hypersurfaces, p.83, 1990.

. Szeliski, A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.6, pp.10681079-66, 2008.
DOI : 10.1109/TPAMI.2007.70844

. Székely, Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models, Medical Image Analysis, vol.1, issue.1, p.15, 1934.
DOI : 10.1016/S1361-8415(01)80003-7

D. Hemant and . Tagare, Deformable 2-D Template Matching Using Orthogonal Curves, IEEE Transactions on Medical Imaging, vol.16, issue.1, pp.108117-108134, 1997.

W. H. Tommy, A. C. Tang, and . Chung, Non-rigid Image Registration Using Graph-cuts, MICCAI '07: Proceedings of the 10th International Conference on Medical Image Computing and Computer Assisted Intervention, p.91, 2007.

. Taron, Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case, Proceedings of the 3rd International Workshop on Variational, Geometric, and Level Set Methods in Computer Vision, p.12, 2005.
DOI : 10.1007/11567646_17

. Taron, Maxime Taron, Nikos Paragios and Marie-Pierre Jolly. Registration with Uncertainties and Statistical Modeling of Shapes with Variable Metric Kernels, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.49, pp.99113-101, 2009.

&. Cooper, J. Christopher, D. H. Taylor, and . Cooper, Shape Verication Using Belief Updating, BMVC '90: Proceedings of the British Machine Vision Conference, p.20, 1990.

. Terzopoulos, Constraints on deformable models: recovering 3D shape and nongrid motion, Articial Intelligence, vol.36, issue.1, p.91123, 1988.
DOI : 10.1016/0004-3702(88)90080-x

&. Tomasi and . Kanade, Carlo Tomasi and Takeo Kanade. Detection and Tracking of Point Features, 1991.

. Torresani, Feature Correspondence Via Graph Matching: Models and Global Optimization, ECCV '08: Proceedings of the 10th European Conference on Computer Vision, pp.596609-129, 2008.
DOI : 10.1007/978-3-540-88688-4_44

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.146.4872

C. J. Adeshina, T. F. Taylor, and . Cootes, Combining Local and Global Shape Models for Deformable Object Matching, BMVC '09: Proceedings of the British Machine Vision Conference, p.71, 2009.

. Tu, Zhihong Zeng and Thomas Huang. Face Localization via Hierarchical CONDENSATION with Fisher Boosting Feature Selection, CVPR '04: Proceedings of the, 2004.

&. Twining, C. Taylor, C. Twining, and . Taylor, Kernel Principal Component Analysis and the construction of non-linear Active Shape Models, Procedings of the British Machine Vision Conference 2001, 2001.
DOI : 10.5244/C.15.4

B. Gozde, A. J. Unal, H. Yezzi, and . Krim, Information-Theoretic Active Polygons for Unsupervised Texture Segmentation, International Journal of Computer Vision, vol.62, issue.68, p.89, 2004.

. Urtasun, Temporal motion models for monocular and multiview 3D human body tracking, Computer Vision and Image Understanding, vol.104, issue.2-3, pp.157177-133, 2006.
DOI : 10.1016/j.cviu.2006.08.006

B. M. Staal, M. A. Ter-haar-romeny, and B. Viergever-mikkel, Active Shape Model Segmentation with Optimal Features Stegmann and Marco Loog. Segmentation of Anatomical Structures in Chest Radiographs using Supervised Methods: A Comparative Study on a Public Database, IEEE Transactions on Medical Imaging Medical Image Analysis, vol.21, issue.112, pp.924933-106, 1940.

]. Veksler, Star Shape Prior for Graph-Cut Image Segmentation, ECCV '08: Proceedings of the 10th European Conference on Computer Vision, p.77, 2008.
DOI : 10.1007/978-3-540-88690-7_34

. Vemuri, Multi-resolution stochastic 3D shape models for image segmentation, IPMI '93: Proceedings of the 13th International Conference on Information Processing in Medical Imaging, p.6276, 1993.
DOI : 10.1007/BFb0013781

. Vicente, Graph cut based image segmentation with connectivity priors, 2008 IEEE Conference on Computer Vision and Pattern Recognition, p.76, 2008.
DOI : 10.1109/CVPR.2008.4587440

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.146.4267

&. Vu, B. S. Vu, and . Manjunath, Shape prior segmentation of multiple objects with graph cuts, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.79-82, 2008.
DOI : 10.1109/CVPR.2008.4587450

. Wainwright, MAP Estimation Via Agreement on Trees: Message-Passing and Linear Programming, IEEE Transactions on Information Theory, vol.51, issue.11, pp.36973717-63, 2005.
DOI : 10.1109/TIT.2005.856938

&. Wang, H. Staib-lawrence, and . Staib, Boundary Finding with Correspondence Using Statistical Shape Models, CVPR '98: Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition, p.338345, 1998.

. Wang, Gaussian Process Dynamical Models for Human Motion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.2, pp.283298-133, 2008.
DOI : 10.1109/TPAMI.2007.1167

. Wang, Chaohui Wang, Martin de La Gorce and Nikos Paragios. Segmentation, Ordering and Multi-object Tracking Using Graphical Models, ICCV '09: Proceedings of the 12th IEEE International Conference on Computer Vision, pp.747754-134, 2009.

&. Xu, J. L. Prince, and . Prince, Snakes, Shapes, and Gradient Vector Flow, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.7, issue.3, pp.359369-84, 1998.

J. S. Yedidia, W. T. Freeman, and Y. Weiss, Exploring Articial Intelligence in The New Millennium, chapter Understanding Belief Propagation And Its Generalizations, pp.239269-60, 2003.

Y. Jr, A Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations, Journal of Visual Communication and Image Representation, vol.13, issue.12, pp.195216-67, 2002.

K. Anil and . Jain, Performance Evaluation of Shape Matching via Chord Length Distribution, Computer Vision, Graphics, and Image Processing, pp.185198-185218, 1984.

&. Householder and A. Householder, Discussion of a Set of Points in terms of Their Mutual Distances, Psychometrika, vol.3, issue.1 21, p.1922, 1938.

A. Paul, H. Yushkevich, J. C. Zhang, and . Gee, Continuous Medial Representation for Anatomical Structures, IEEE Transactions on Medical Imaging, vol.25, issue.12, p.15471564, 2006.

&. Zabih and . Kolmogorov, Ramin Zabih and Vladimir Kolmogorov. Spatially Coherent Clustering Using Graph Cuts, CVPR '04: Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition, pp.437444-74, 2004.

. Zeng, Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N???D images, Computer Vision and Image Understanding, vol.112, issue.1, pp.8190-77, 2008.
DOI : 10.1016/j.cviu.2008.07.008

. Zhang, Representation and Matching of Articulated Shapes, CVPR '04: Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition, pp.342349-82, 2004.

A. L. Yuille, Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.67, pp.884900-88, 1996.

&. Zhu-jacquot and . Zabih, Jie Zhu-Jacquot and Ramin Zabih Segmentation Of The Left Ventricle In Cardiac Mr Images Using Graph Cuts With Parametric Shape Priors, IEEE International Conference on Acoustics, Speech and Signal Processing, p.79, 2008.