Journal articles
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- Force classification during robotic interventions through simulation-trained neural networks
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- Andrea Mendizabal, Raphael Sznitman, Stéphane Cotin
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- International Journal of Computer Assisted Radiology and Surgery, 2019, 14, pp.1601-1610. ⟨10.1007/s11548-019-02048-3⟩
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- Intravitreal injection is among the most frequent treatment strategies for chronic ophthalmic diseas .....
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- Electromagnetic Tracking for Deep Liver Targets: A preliminary feasibility study
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- Stephen Hinds, Herman Alexander Jaeger, Richard Burke, Brodie O’sullivan, Joseph Keane, Fabian Trauzettel, Bruno Marques, Stéphane Cotin, Brian Bird, Hakon Leira, Thomas Langø, Pádraig Cantillon-Murphy
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- International Journal of Computer Assisted Radiology and Surgery, 2019, ⟨10.1007/s11548-019-01983-5⟩
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- Electromagnetic tracking is a core platform technology in the navigation and visualisation of image- .....
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- Robotic Insertion of Flexible Needle in Deformable Structures Using Inverse Finite-Element Simulation
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- Yinoussa Adagolodjo, Laurent Goffin, Michel de Mathelin, Hadrien Courtecuisse
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- IEEE Transactions on Robotics, 2019, 35 (3), pp.697-708. ⟨10.1109/TRO.2019.2897858⟩
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- This paper introduces a new approach for the control of a robotic system interacting with deformable .....
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- Calibration and External Force Sensing for Soft Robots using an RGB-D Camera
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- Zhongkai Zhang, Antoine Petit, Jeremie Dequidt, Christian Duriez
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- IEEE Robotics and Automation Letters, 2019, 4 (3), pp.2356 - 2363. ⟨10.1109/LRA.2019.2903356⟩
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- Benefiting from the deformability of soft robots, calibration and force sensing for soft robots are .....
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- Simulation of hyperelastic materials in real-time using deep learning
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- Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin
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- Medical Image Analysis, 2019, 59, pp.101569. ⟨10.1016/j.media.2019.101569⟩
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- The finite element method (FEM) is among the most commonly used numerical methods for solving engine .....
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- Position-based modeling of lesion displacement in Ultrasound-guided breast biopsy
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- Eleonora Tagliabue, Diego Dall’alba, Enrico Magnabosco, Chiara Tenga, Igor Peterlík, Paolo Fiorini
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- International Journal of Computer Assisted Radiology and Surgery, 2019, 14 (8), pp.1329-1339. ⟨10.1007/s11548-019-01997-z⟩
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- Purpose Although ultrasound (US) images represent the most popular modality for guiding breast biops .....
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Conference papers
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- Physics-based Deep Neural Network for Augmented Reality during Liver Surgery
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- Jean-Nicolas Brunet, Andrea Mendizabal, Antoine Petit, Nicolas Golse, Eric Vibert, Stéphane Cotin
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- MICCAI 2019 - 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2019, Shenzhen, China. pp.8, ⟨10.1007/978-3-030-32254-0_16⟩
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- In this paper we present an approach combining a finite element method and a deep neural network to .....
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- Physics-based Deep Neural Network for Real-Time Lesion Tracking in Ultrasound-guided Breast Biopsy
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- Andrea Mendizabal, Eleonora Tagliabue, Jean-Nicolas Brunet, Diego Dall'Alba, Paolo Fiorini, Stéphane Cotin
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- Computational Biomechanics for Medicine XIV, Oct 2019, Shenzhen, China
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- In the context of ultrasound (US) guided breast biopsy, image fusion techniques can be employed to t .....
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- Deformed Reality
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- Antoine Petit, Nazim Haouchine, Frédérick Roy, Dan B Goldman, Stéphane Cotin
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- Computer Graphics & Visual Computing (Eurographics), Sep 2019, Bangor, United Kingdom
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- We present Deformed Reality, a new way of interacting with an augmented reality environment by manip .....
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- The effect of discretization on parameter identification. Application to patient-specific simulations
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- Nava Weingort Schulmann, Stéphane Cotin, Igor Peterlík
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- CMBBE 2019 - 16th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Aug 2019, New York (NY), United States
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- Identifying the elastic parameters of a finite element model from a dynamically acquired set of obse .....
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- Corotated meshless implicit dynamics for deformable bodies
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- Jean-Nicolas Brunet, Vincent Magnoux, Benoît Ozell, Stéphane Cotin
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- WSCG 2019 - 27th International Conference on Computer Graphics, Visualization and Computer Vision, May 2019, Pilsen, Czech Republic. ⟨10.24132/CSRN.2019.2901.1.11⟩
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- This paper proposes a fast, stable and accurate meshless method to simulate geometrically non-linear .....
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- FEM-based confidence assessment of non-rigid registration
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- Paul Baksic, Hadrien Courtecuisse, Matthieu Chabanas, Bernard Bayle
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- Surgetica 2019, 2019, Rennes, France
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- Non-rigid registration is often used for 3D representations during surgical procedures. It needs to .....
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Book sections
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- Brain connectivity reduction reflects disturbed self-organisation of the brain: Neural disorders and General Anesthesia
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- Axel Hutt
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- V. Cutsuridis, Multiscale models of Brain Disorders, 2019
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- The neurophysiological correlate of functional neural impairment is an open problem. Functional impa .....
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Theses
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- titre
- Biomechanical graph matching for hepatic intra-operative image registration
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- Jaime Garcia Guevara
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- Computer Vision and Pattern Recognition [cs.CV]. Universite de Lorraine, 2019. English. ⟨NNT : 2019LORR0238⟩
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- This thesis presents the development of an automatic elastic registration method based on matching o .....
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Preprints, Working Papers, ...
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- Simulation of soft tissue deformation in real-time using domain decomposition
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- Ryadh Haferssas, Pierre-Henri Tournier, Frédéric Nataf, Stéphane Cotin
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- 2019
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- Non-linear models used in dynamic simulations usually require the solution of multiple large and spa .....
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- Constrained Stochastic State Estimation for 3D Shape Reconstruction of Catheters and Guidewires in Fluoroscopic Images
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- Raffaella Trivisonne, Erwan Kerrien, Stéphane Cotin
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- 2019
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- Minimally invasive fluoroscopy-based procedures are the gold standard for diagnosis and treatment of .....
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