Physics-based deep neural network for augmented reality during liver surgery, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02158862
MeshLab: an Open-Source Mesh Processing Tool, Eurographics Italian Chapter Conference. The Eurographics Association, 2008. ,
Sofa: A multi-model framework for interactive physical simulation. In: Soft tissue biomechanical modeling for computer assisted surgery, pp.283-321, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00681539
3d slicer as an image computing platform for the quantitative imaging network, Magnetic resonance imaging, vol.30, issue.9, pp.1323-1341, 2012. ,
A unified formulation of small-strain corotational finite elements: I. theory, Computer Methods in Applied Mechanics and Engineering, vol.194, pp.2285-2335, 2005. ,
Ultrasound imaging technologies for breast cancer detection and management: A review, Ultrasound in medicine & biology, 2017. ,
A nonlinear biomechanical model based registration method for aligning prone and supine mr breast images, IEEE transactions on medical imaging, vol.33, issue.3, pp.682-694, 2013. ,
A review of biomechanically informed breast image registration, Physics in Medicine & Biology, vol.61, issue.2, p.1, 2016. ,
Mr to ultrasound registration for image-guided prostate interventions, Medical image analysis, vol.16, issue.3, pp.687-703, 2012. ,
Real-time nonlinear finite element computations on gpu-application to neurosurgical simulation, Computer methods in applied mechanics and engineering, vol.199, pp.3305-3314, 2010. ,
Clinical utility of real-time fusion guidance for biopsy and ablation, J Vasc Interv Radiol, vol.22, issue.4, pp.515-524, 2011. ,
Plus: open-source toolkit for ultrasound-guided intervention systems, IEEE Transactions on Biomedical Engineering, vol.61, issue.10, pp.2527-2537, 2014. ,
Multiplicative jacobian energy decomposition method for fast porous viscohyperelastic soft tissue model, pp.235-242, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00593207
A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time, Computers in biology and medicine, vol.90, pp.116-124, 2017. ,
Total lagrangian explicit dynamics finite element algorithm for computing soft tissue deformation. Communications in numerical, methods in engineering, vol.23, issue.2, pp.121-134, 2007. ,
On the prospect of patient-specific biomechanics without patient-specific properties of tissues, Journal of the mechanical behavior of biomedical materials, vol.27, pp.154-166, 2013. ,
Real-time nonlinear fem with neural network for simulating soft organ model deformation, pp.742-749, 2008. ,
Image-guided breast biopsy: state-ofthe-art, Clinical radiology, vol.65, issue.4, pp.259-270, 2010. ,
Learning soft tissue behavior of organs for surgical navigation with convolutional neural networks, IJCARS pp, pp.1-9, 2019. ,
U-net: Convolutional networks for biomedical image segmentation. MICCAI pp, pp.234-241, 2015. ,
Position-based modeling of lesion displacement in ultrasound-guided breast biopsy, IJCARS, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02276090
A machine learning approach for realtime modelling of tissue deformation in image-guided neurosurgery, Artificial intelligence in medicine, vol.80, pp.39-47, 2017. ,
Iterative simulations to estimate the elastic properties from a series of mri images followed by mri-us validation, Medical and biological engineering and computing, vol.194, pp.1-12, 2018. ,
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability, Neuroimage, vol.31, issue.3, pp.1116-1128, 2006. ,