B. Andres, J. H. Kappes, T. Beier, U. Köthe, and F. A. Hamprecht, The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models, Computer Vision?ECCV 2012, pp.154-166, 2012.
DOI : 10.1007/978-3-642-33786-4_12

P. Y. Baudin, D. Goodman, P. Kumar, N. Azzabou, P. G. Carlier et al., Discriminative Parameter Estimation for Random Walks Segmentation, Medical Image Computing and Computer-Assisted Intervention?MICCAI 2013, pp.219-226, 2013.
DOI : 10.1007/978-3-642-40760-4_28
URL : https://hal.archives-ouvertes.fr/hal-00856020

J. Besag, Statistical analysis of dirty pictures*, Journal of Applied Statistics, vol.6, issue.5-6, pp.259-302, 1986.
DOI : 10.1016/0031-3203(83)90012-2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.399.7501

W. Birkfellner, M. Figl, J. Kettenbach, J. Hummel, P. Homolka et al., Rigid 2D/3D slice-to-volume registration and its application on fluoroscopic ct images DOI 10, Medical Physics, vol.341, issue.1, p.2462401661, 1118.
DOI : 10.1118/1.2401661

A. G. Chandler, R. J. Pinder, T. Netsch, J. A. Schnabel, D. J. Hawkes et al., Correction of Misaligned Slices in Multi-Slice MR Cardiac Examinations by Using Slice-To-Volume Registration, 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., p.13, 2008.
DOI : 10.1109/ISBI.2006.1624956

A. Eresen, P. Li, and J. X. Ji, Correlating 2D histological slice with 3D MRI image volume using smart phone as an interactive tool for muscle study, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.6418-6421, 2014.
DOI : 10.1109/EMBC.2014.6945097

B. Fei, J. L. Duerk, and D. L. Wilson, Automatic 3D Registration for Interventional MRI-Guided Treatment of Prostate Cancer, Computer Aided Surgery, vol.2, issue.5, pp.257-267, 2002.
DOI : 10.1007/s003300000626

E. Ferrante, V. Fecamp, and N. Paragios, Implicit planar and in-plane deformable mapping in medical images through high order graphs, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015.
DOI : 10.1109/ISBI.2015.7163974
URL : https://hal.archives-ouvertes.fr/hal-01130724

E. Ferrante, V. Fecamp, and N. Paragios, Slice-tovolume deformable registration: Efficient one shot consensus between plane selection and in-plane deformation, International Journal of Computer Assisted Radiology and Surgery, p.16, 2015.
DOI : 10.1007/s11548-015-1205-2

E. Ferrante and N. Paragios, Non-rigid 2D-3D Medical Image Registration Using Markov Random Fields, Medical Image Computing and Computer-Assisted Intervention?MICCAI 2013, pp.163-170, 2013.
DOI : 10.1007/978-3-642-40760-4_21
URL : https://hal.archives-ouvertes.fr/hal-00855662

E. Ferrante and N. Paragios, Slice-to-volume medical image registration: A survey, Medical Image Analysis, vol.39, 2017.
DOI : 10.1016/j.media.2017.04.010

S. Gill, P. Abolmaesumi, S. Vikal, P. Mousavi, and G. Fichtinger, Intraoperative prostate tracking with slice-to-volume registration in MRI pp, pp.154-158, 2008.

B. Glocker, Random Fields for Image Registration, 2010.

B. Glocker, N. Komodakis, N. Paragios, and N. Navab, Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs, Advances in Visual Computing, pp.1101-1109, 2009.
DOI : 10.1007/978-3-642-10331-5_102
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.8422

B. Glocker, N. Komodakis, G. Tziritas, N. Navab, and N. Paragios, Dense image registration through MRFs and efficient linear programming???, Medical Image Analysis, vol.12, issue.6, pp.731-741, 2007.
DOI : 10.1016/j.media.2008.03.006
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.222

B. Glocker, A. Sotiras, N. Komodakis, and N. Paragios, Deformable Medical Image Registration: Setting the State of the Art with Discrete Methods, Annual Review of Biomedical Engineering, vol.13, issue.1, pp.219-244, 2011.
DOI : 10.1146/annurev-bioeng-071910-124649
URL : https://hal.archives-ouvertes.fr/hal-00858380

X. Huang, J. Moore, G. Guiraudon, D. L. Jones, D. Bainbridge et al., Dynamic 2D Ultrasound and 3D CT Image Registration of the Beating Heart, IEEE Transactions on Medical Imaging, vol.28, issue.8, pp.1179-1189, 2009.
DOI : 10.1109/TMI.2008.2011557

S. Jiang, H. Xue, S. Counsell, M. Anjari, J. Allsop et al., Diffusion tensor imaging (DTI) of the brain in moving subjects: Application to in-utero fetal and ex-utero studies, Magnetic Resonance in Medicine, vol.38, issue.Pt 1, pp.645-655, 2009.
DOI : 10.1016/j.siny.2005.05.003

B. Kim, J. L. Boes, P. H. Bland, T. L. Chenevert, and C. R. Meyer, Motion correction in fMRI via registration of individual slices into an anatomical volume, 1999.

P. Kohli and C. Rother, Higher-order models in computer vision, Image Processing and Analysis with Graphs, vol.1, 2012.

N. Komodakis, N. Paragios, and G. Tziritas, MRF Energy Minimization and Beyond via Dual Decomposition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.3, 2011.
DOI : 10.1109/TPAMI.2010.108
URL : https://hal.archives-ouvertes.fr/hal-00856311

N. Komodakis, G. Tziritas, and N. Paragios, Fast, Approximately Optimal Solutions for Single and Dynamic MRFs, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383095

N. Komodakis, B. Xiang, and N. Paragios, A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.37, issue.7, 2015.
DOI : 10.1109/TPAMI.2014.2368990
URL : https://hal.archives-ouvertes.fr/hal-01245673

F. R. Kschischang, B. J. Frey, and H. A. Loeliger, Factor graphs and the sum-product algorithm. Information Theory, IEEE Transactions on, vol.47, issue.2, pp.498-519, 2001.
DOI : 10.1109/18.910572
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.1570

D. Kwon, K. J. Lee, I. D. Yun, and S. U. Lee, Nonrigid Image Registration Using Dynamic Higher-Order MRF Model, In: Computer Vision?ECCV, pp.373-386, 2008.
DOI : 10.1007/978-3-540-88682-2_29

R. Liao, L. Zhang, Y. Sun, S. Miao, and C. Chefd-'hotel, A review of recent advances in registration techniques applied to minimally invasive therapy. Multimedia, IEEE Transactions on, vol.15, issue.5, pp.983-1000, 2013.

P. Markelj, D. Toma?evi?, B. Likar, and F. Pernu?, A review of 3D/2D registration methods for imageguided interventions, Medical image analysis, 2012.

L. Mercier, D. Maestro, R. F. Petrecca, K. Araujo, D. Haegelen et al., Online database of clinical MR and ultrasound images of brain tumors, Medical Physics, vol.11, issue.3, p.3253, 2012.
DOI : 10.1016/j.media.2007.05.002

K. P. Murphy, Y. Weiss, and M. I. Jordan, Loopy Belief Propagation for Approximate Inference: An Empirical Study, Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence (UAI'99), 1999.

J. A. Nelder and R. Mead, A Simplex Method for Function Minimization, The Computer Journal, vol.7, issue.4, pp.308-313, 1965.
DOI : 10.1093/comjnl/7.4.308

J. Olesch, B. Beuthien, S. Heldmann, N. Papenberg, and B. Fischer, Fast intra-operative nonlinear registration of 3D-ct to tracked, selected 2D- ultrasound slices, 642R. International Society for Optics and Photonics, pp.79642-79, 2011.

S. Osechinskiy and F. Kruggel, Slice-to-Volume Nonrigid Registration of Histological Sections to MR Images of the Human Brain, Anatomy Research International, vol.7, issue.4, pp.1-17, 2011.
DOI : 10.1088/0031-9155/46/3/201

N. Paragios, E. Ferrante, B. Glocker, N. Komodakis, S. Parisot et al., (Hyper)-graphical models in biomedical image analysis, Medical Image Analysis, vol.33, 2016.
DOI : 10.1016/j.media.2016.06.028
URL : https://hal.archives-ouvertes.fr/hal-01359107

N. Paragios and N. Komodakis, Discrete Visual Perception, 2014 22nd International Conference on Pattern Recognition, pp.18-25, 2014.
DOI : 10.1109/ICPR.2014.13
URL : https://hal.archives-ouvertes.fr/hal-01023406

R. Porchetto, F. Stramana, N. Paragios, and E. Ferrante, Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields, p.2016, 2016.
DOI : 10.1016/j.media.2010.04.003
URL : https://hal.archives-ouvertes.fr/hal-01355110

S. Ramalingam, P. Kohli, K. Alahari, and P. H. Torr, Exact inference in multi-label CRFs with higher order cliques, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
DOI : 10.1109/CVPR.2008.4587401
URL : https://hal.archives-ouvertes.fr/hal-01217304

D. Rueckert, L. I. Sonoda, C. Hayes, D. L. Hill, M. O. Leach et al., Nonrigid registration using free-form deformations: application to breast MR images, IEEE Transactions on Medical Imaging, vol.18, issue.8, pp.712-721, 1999.
DOI : 10.1109/42.796284
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.126.4732

R. San-josé-estépar, C. Westin, and K. Vosburgh, Towards real time 2D to 3D registration for ultrasound-guided endoscopic and laparoscopic procedures, International Journal of Computer Assisted Radiology and Surgery, vol.12, issue.5, pp.549-560, 2009.
DOI : 10.1109/T-SU.1983.31404

S. Seshamani, M. Fogtmann, X. Cheng, M. Thomason, C. Gatenby et al., Cascaded slice to volume registration for moving fetal FMRI, 2013 IEEE 10th International Symposium on Biomedical Imaging, pp.796-799, 2013.
DOI : 10.1109/ISBI.2013.6556595

A. Shekhovtsov, I. Kovtun, and V. Hlavá?, Efficient MRF deformation model for non-rigid image matching, Computer Vision and Image Understanding, vol.112, issue.1, pp.91-99, 2008.
DOI : 10.1016/j.cviu.2008.06.006
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.212.7250

A. Sotiras, C. Davatzikos, and N. Paragios, Deformable Medical Image Registration: A Survey, IEEE Transactions on Medical Imaging, vol.32, issue.7, pp.1153-1190, 2013.
DOI : 10.1109/TMI.2013.2265603
URL : https://hal.archives-ouvertes.fr/hal-00684715

A. Sotiras, Y. Ou, B. Glocker, C. Davatzikos, and N. Paragios, Simultaneous geometric-iconic re- gistration
DOI : 10.1007/978-3-642-15745-5_83
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.7013

C. Wang, N. Komodakis, and N. Paragios, Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey, Computer Vision and Image Understanding, vol.117, issue.11, pp.1610-1627, 2013.
DOI : 10.1016/j.cviu.2013.07.004
URL : https://hal.archives-ouvertes.fr/hal-00858390

H. Xu, A. Lasso, A. Fedorov, K. Tuncali, C. Tempany et al., Multi-slice-to-volume registration for MRI-guided transperineal prostate biopsy. International journal of computer assisted radiology and surgery pp, pp.1-10, 2014.
DOI : 10.1007/s11548-014-1108-7
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4412811

D. Zikic, B. Glocker, O. Kutter, M. Groher, N. Komodakis et al., Linear intensity-based image registration by Markov random fields and discrete optimization, Medical Image Analysis, vol.14, issue.4, pp.550-562, 2010.
DOI : 10.1016/j.media.2010.04.003
URL : https://hal.archives-ouvertes.fr/hal-00856077