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Books and Theses
- 2020
[b1]Andrea Mendizabal:
Machine Learning meets real-time Numerical Simulation - Application to surgical training, preoperative planning and surgical assistance. (Combinaison entre simulation numérique etapprentissage automatique - Applications à la formation, la planification préopératoire et l'assistance peropératoire). University of Strasbourg, France, 2020
Journal Articles
- 2023
- [j3]Andrea Mendizabal, Eleonora Tagliabue, Diego Dall'Alba
:
Intraoperative estimation of liver boundary conditions from multiple partial surfaces. Int. J. Comput. Assist. Radiol. Surg. 18(7): 1295-1302 (2023) - 2020
- [j2]Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin:
Simulation of hyperelastic materials in real-time using deep learning. Medical Image Anal. 59 (2020) - 2019
- [j1]Andrea Mendizabal, Raphael Sznitman, Stephane Cotin:
Force classification during robotic interventions through simulation-trained neural networks. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1601-1610 (2019)
Conference and Workshop Papers
- 2019
- [c3]Jean-Nicolas Brunet, Andrea Mendizabal, Antoine Petit, Nicolas Golse, Eric Vibert, Stéphane Cotin:
Physics-Based Deep Neural Network for Augmented Reality During Liver Surgery. MICCAI (5) 2019: 137-145 - 2018
- [c2]Andrea Mendizabal, Tatiana Fountoukidou, Jan Hermann, Raphael Sznitman, Stephane Cotin:
A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal Injections. MICCAI (4) 2018: 12-20 - 2017
- [c1]Andrea Mendizabal, Rémi Bessard-Duparc, Huu Phuoc Bui, Christoph J. Paulus, Igor Peterlík, Stéphane Cotin:
Face-based smoothed finite element method for real-time simulation of soft tissue. Image-Guided Procedures 2017: 101352H
Informal and Other Publications
- 2019
- [i1]Andrea Mendizabal, Pablo Márquez-Neila, Stéphane Cotin:
Simulation of hyperelastic materials in real-time using Deep Learning. CoRR abs/1904.06197 (2019)
Coauthor Index
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