I. Peterlik, N. Haouchine, L. Rucka, and S. Cotin, Image-driven Stochastic Identification of Boundary Conditions for Predictive Sim- ulation, Proc. of 20th International Conference on Medical Image Computing and Computer Assisted Intervention, pp.548-556, 2017.

I. Peterlik, H. Courtecuisse, C. Duriez, and S. Cotin, Model-Based Identification of Anatomical Boundary Conditions in Living Tissues, Proc. of 5th International Conference on Infromation Processing in Computer-Assisted Interventions, pp.196-205, 2014.
DOI : 10.1007/978-3-319-07521-1_21

URL : https://hal.archives-ouvertes.fr/hal-01264434

R. Plantefeve, I. Peterlik, N. Haouchine, and S. Cotin, Patient-Specific Biomechanical Modeling for Guidance During Minimally-Invasive Hepatic Surgery, Annals of Biomedical Engineering, vol.31, issue.3, pp.139-153, 2016.
DOI : 10.1016/j.neuroimage.2006.01.015

URL : https://hal.archives-ouvertes.fr/hal-01205194

S. Johnsen, S. Thompson, M. Clarkson, M. Modat, and Y. , Song et al, Database-based estimation of liver deformation under pneumoterapius for surgical image guidance and simulation, Proc. of 18th International Conference on Medical Image Computing and Computer Assisted Intervention, pp.450-458, 2015.

E. Ozkan and O. , Compliance boundary conditions for simulating deformations in a limited target region, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp.929-932, 2015.
DOI : 10.1109/EMBC.2015.7318515

E. Ozkan and O. , Compliance boundary conditions for patient-specific deformation simulation using the finite element method, Biomedical Physics & Engineering Express, vol.4, issue.2, 2018.
DOI : 10.1088/2057-1976/aa918d

P. Moireau and D. Chapelle, Reduced-order Unscented Kalman Filtering with application to parameter identification in large-dimensional system , ESAIM: Control, Optimisation and Calculus of Variations, pp.380-405, 2011.

M. Nesme, Y. Payan, and F. , Fuare Efficient, physically plausible finite elements, Eurographics, 2005.

H. Delingette and N. Ayche, Soft Tissue Modeling for Surgery Simulation, pp.453-550, 2018.
DOI : 10.1016/S1570-8659(03)12005-4

URL : https://hal.archives-ouvertes.fr/inria-00615656

D. Baraff and A. Witkin, Large steps in cloth simulation, Proceedings of the 25th annual conference on Computer graphics and interactive techniques , SIGGRAPH '98, pp.43-54, 1998.
DOI : 10.1145/280814.280821

A. Doucet and A. M. , Johansen A Tutorial on Particle Filtering and Smoothing: Fifteen years later The Oxford Handbook of nonlinear filtering, pp.656-704, 2011.

M. S. Arulampalam, S. Maskell, N. Gordon, and T. , A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking, IEEE Transactions on Signal Processing, vol.50, issue.2, pp.174-189, 2002.
DOI : 10.1109/78.978374

S. Thrun, W. Burgard, and D. Fox-probabilistic-robotics, , 2005.