Major publications by the team in recent years
  • 1H. P. Bui, S. Tomar, H. Courtecuisse, M. Audette, S. Cotin, S. P. A. Bordas.

    Controlling the error on target motion through real-time mesh adaptation: applications to Deep Brain Stimulation, in: International Journal for Numerical Methods in Biomedical Engineering, December 2017, pp. 1-26. [ DOI : 10.1002/cnm.2958 ]

  • 2H. Courtecuisse, J. Allard, K. Pierre, S. P.-A. Bordas, S. Cotin, C. Duriez.

    Real-time simulation of contact and cutting of heterogeneous soft-tissues, in: Medical Image Analysis, February 2014, 20 p.

  • 3J. Garcia Guevara, I. Peterlik, M.-O. Berger, S. Cotin.

    Biomechanics-based graph matching for augmented CT-CBCT, in: IJCARS, Apr 2018.

  • 4J. Garcia Guevara, I. Peterlik, M.-O. Berger, S. Cotin.

    Elastic Registration Based on Compliance Analysis and Biomechanical Graph Matching, in: Annals of Biomedical Engineering, 2019, pp. 1–16.
  • 5N. Haouchine, W. Kuang, S. Cotin, M. Yip.

    Vision-based Force Feedback Estimation for Robot-assisted Surgery using Instrument-constrained Biomechanical 3D Maps, in: IEEE Robotics and Automation Letters, February 2018, Proceedings of International Conference on Robotics and Automation ICRA 2018. [ DOI : 10.1109/LRA.2018.2810948 ]

  • 6E. Kerrien, A. Yureidini, J. Dequidt, C. Duriez, R. Anxionnat, S. Cotin.

    Blood vessel modeling for interactive simulation of interventional neuroradiology procedures, in: Medical Image Analysis, January 2017, vol. 35, pp. 685 - 698. [ DOI : 10.1016/j.media.2016.10.003 ]

  • 7A. Mendizabal, T. Fountoukidou, J. Hermann, R. Sznitman, S. Cotin.

    A Combined Simulation & Machine Learning Approach for Image-based Force Classification during Robotized Intravitreal Injections, in: MICCAI 2018 - 21st International Conference on Medical Image Computing and Computer Assisted Intervention, Granada, Spain, September 2018.

  • 8F. Morin, H. Courtecuisse, I. Reinertsen, F. Le Lann, O. Palombi, Y. Payan, M. Chabanas.

    Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation, in: Medical Image Analysis, 2017, vol. 40, pp. 133 - 153. [ DOI : 10.1016/j.media.2017.06.003 ]

  • 9I. Peterlik, H. Courtecuisse, R. Rohling, P. Abolmaesumi, C. Nguan, S. Cotin, S. E. Salcudean.

    Fast Elastic Registration of Soft Tissues under Large Deformations, in: Medical Image Analysis, 2017.

  • 10A. Petit, S. Cotin, V. Lippiello, B. Siciliano.

    Capturing Deformations of Interacting Non-rigid Objects Using RGB-D Data, in: IROS 2018 - IEEE/RSJ International Conference on Intelligent Robots and Systems, Madrid, Spain, October 2018.

  • 11D. V. Sorokin, I. Peterlik, V. V. Ulman, D. Svoboda, T. Nečasová, K. Morgaenko, L. Eisellová, L. Tesařová, M. Maška.

    FiloGen: A Model-Based Generator of Synthetic 3D Time-Lapse Sequences of Single Motile Cells with Growing and Branching Filopodia, in: IEEE Transactions on Medical Imaging, June 2018, pp. 1-12. [ DOI : 10.1109/TMI.2018.2845884 ]

  • 12H. Talbot, F. Spadoni, C. Duriez, M. Sermesant, M. O’Neill, P. Jaïs, S. Cotin, H. Delingette.

    Interactive training system for interventional electrocardiology procedures, in: Medical image analysis, 2017, vol. 35, pp. 225–237.
Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 14Y. Adagolodjo, L. Goffin, M. De Mathelin, H. Courtecuisse.

    Robotic Insertion of Flexible Needle in Deformable Structures Using Inverse Finite-Element Simulation, in: IEEE Transactions on Robotics, March 2019, pp. 1-12. [ DOI : 10.1109/TRO.2019.2897858 ]

  • 15J. Garcia Guevara, I. Peterlik, M.-O. Berger, S. Cotin.

    Elastic registration based on compliance analysis and biomechanical graph matching, in: Annals of Biomedical Engineering, September 2019, https://arxiv.org/abs/1912.06353. [ DOI : 10.1007/s10439-019-02364-4 ]

  • 16S. Hinds, H. A. Jaeger, R. Burke, B. O’Sullivan, J. Keane, F. Trauzettel, B. Marques, S. Cotin, B. Bird, H. Leira, T. Langø, P. Cantillon-Murphy.

    Electromagnetic Tracking for Deep Liver Targets: A preliminary feasibility study, in: International Journal of Computer Assisted Radiology and Surgery, April 2019. [ DOI : 10.1007/s11548-019-01983-5 ]

  • 17A. Mendizabal, P. Márquez-Neila, S. Cotin.

    Simulation of hyperelastic materials in real-time using deep learning, in: Medical Image Analysis, 2019, vol. 59, 101569 p. [ DOI : 10.1016/j.media.2019.101569 ]

  • 18A. Mendizabal, R. Sznitman, S. Cotin.

    Force classification during robotic interventions through simulation-trained neural networks, in: International Journal of Computer Assisted Radiology and Surgery, July 2019. [ DOI : 10.1007/s11548-019-02048-3 ]

  • 19E. Tagliabue, D. Dall’Alba, E. Magnabosco, C. Tenga, I. Peterlik, P. Fiorini.

    Position-based modeling of lesion displacement in Ultrasound-guided breast biopsy, in: International Journal of Computer Assisted Radiology and Surgery, 2019, vol. 14, no 8, pp. 1329-1339. [ DOI : 10.1007/s11548-019-01997-z ]

  • 20Z. Zhang, A. Petit, J. Dequidt, C. Duriez.

    Calibration and External Force Sensing for Soft Robots using an RGB-D Camera, in: IEEE Robotics and Automation Letters, March 2019, vol. 4, no 3, pp. 2356 - 2363. [ DOI : 10.1109/LRA.2019.2903356 ]


International Conferences with Proceedings

  • 21J.-N. Brunet, V. Magnoux, B. Ozell, S. Cotin.

    Corotated meshless implicit dynamics for deformable bodies, in: WSCG 2019 - 27th International Conference on Computer Graphics, Visualization and Computer Vision, Pilsen, Czech Republic, Západočeská univerzita, May 2019. [ DOI : 10.24132/CSRN.2019.2901.1.11 ]

  • 22J.-N. Brunet, A. Mendizabal, A. Petit, N. Golse, E. Vibert, S. Cotin.

    Physics-based Deep Neural Network for Augmented Reality during Liver Surgery, in: Medical Image Computing and Computer Assisted Intervention 2019, 22nd International Conference, Shenzhen, China, October 2019, vol. 11768, no 137-145, 8 p. [ DOI : 10.1007/978-3-030-32254-0_16 ]

  • 23A. Mendizabal, E. Tagliabue, J.-N. Brunet, D. Dall'Alba, P. Fiorini, S. Cotin.

    Physics-based Deep Neural Network for Real-Time Lesion Tracking in Ultrasound-guided Breast Biopsy, in: Computational Biomechanics for Medicine XIV, Shenzhen, China, 2019.

  • 24A. Petit, N. Haouchine, F. Roy, D. B. Goldman, S. Cotin.

    Deformed Reality, in: Computer Graphics & Visual Computing (Eurographics), Bangor, United Kingdom, September 2019.


Conferences without Proceedings

  • 25P. Baksic, H. Courtecuisse, M. Chabanas, B. Bayle.

    FEM-based confidence assessment of non-rigid registration, in: Surgetica 2019, Rennes, France, June 2019.

  • 26N. W. Schulmann, S. Cotin, I. Peterlik.

    The effect of discretization on parameter identification. Application to patient-specific simulations, in: CMBBE 2019 - 16th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, New York (NY), United States, August 2019.


Other Publications

  • 27R. Haferssas, P.-H. Tournier, F. Nataf, S. Cotin.

    Simulation of soft tissue deformation in real-time using domain decomposition, December 2019, working paper or preprint.

  • 28R. Trivisonne, E. Kerrien, S. Cotin.

    Constrained Stochastic State Estimation for 3D Shape Reconstruction of Catheters and Guidewires in Fluoroscopic Images, April 2019, working paper or preprint.

References in notes
  • 29R. C. Aster, B. Borchers, C. H. Thurber.

    Parameter estimation and inverse problems, Elsevier, 2018.