Hierarchical Multi-Atlas Segmentation Using Label-Specific Embeddings, Target-Specific Templates and 1165 Patch Refinement, International Workshop on Patch-based Techniques in Medical Imaging, pp.84-91, 2016. ,
DOI : 10.1007/978-3-319-47118-1_11
CustusX: an open-source research platform for image-guided therapy, International Journal of Computer Assisted Radiology and Surgery, vol.41, issue.4, pp.505-519, 2015. ,
DOI : 10.1118/1.4866884
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819973
The ParaView Guide: A Parallel Visualization Application Kitware, 2015. ,
DOI : 10.1201/b12985-23
Enhanced Probabilistic Label Fusion by Estimating Label Confidences Through Discriminative Learning, Medical Image Computing and Computer- Assisted Intervention -MICCAI 2016, pp.1175-505, 2016. ,
DOI : 10.1109/TMI.2004.828354
A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.2, pp.239-1180, 1992. ,
DOI : 10.1109/34.121791
Biomechanical simulation of electrode migration for deep brain stimulation. Medical Image Computing and Computer-Assisted Intervention -MICCAI, pp.339-346, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00685737
Doppler Ultrasound, 1185. ,
URL : https://hal.archives-ouvertes.fr/hal-00706803
Biomechanical simulation of atrophy in MR images, Medical Imaging 2003: Image Processing, pp.481-490, 1190. ,
DOI : 10.1117/12.480412
Towards child versus adult brain mechanical properties, Journal of the mechanical 1195 behavior of biomedical materials, pp.166-173, 2012. ,
DOI : 10.1016/j.jmbbm.2011.09.013
Intraoperative Brain Shift Compensation: Accounting for Dural Septa, IEEE Transactions on Biomedical Engineering, vol.58, issue.3, pp.499-508, 2011. ,
DOI : 10.1109/TBME.2010.2093896
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3864010
Robust Nonrigid Registration to Capture Brain Shift From Intraoperative MRI, IEEE Transactions on Medical Imaging, vol.24, pp.1417-1427, 2005. ,
URL : https://hal.archives-ouvertes.fr/inria-00615963
Evaluation of model-based deformation correction in image-guided liver surgery via tracked intraoperative ultrasound, Journal of Medical Imaging, vol.3, issue.1, p.15003, 2016. ,
DOI : 10.1117/1.JMI.3.1.015003
Preconditioner-Based Contact Response and Application to Cataract Surgery, International Conference on Medical Image Computing and Computer-Assisted Interven- 1215 tion, pp.315-322, 2011. ,
DOI : 10.1007/978-3-540-70521-5_17
URL : https://hal.archives-ouvertes.fr/hal-00685593
Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation, IEEE Transactions on Medical Imaging, vol.31, issue.8, pp.1607-1619, 2012. ,
DOI : 10.1109/TMI.2012.2197407
Vascular neurosurgery simulation with bimanual haptic feedback, 12th Workshop on Virtual Reality Interaction and Physical Simulation, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01226256
Automated brain shift correction using a pre-computed deformation atlas, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, pp.61411-61411, 1225. ,
DOI : 10.1117/12.652350
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.3602
Realistic haptic rendering of interacting deformable objects in virtual environments, IEEE Transactions on Visualization and Computer Graphics, vol.12, issue.1, pp.36-47, 2006. ,
DOI : 10.1109/TVCG.2006.13
URL : https://hal.archives-ouvertes.fr/hal-00269404
Evaluation of Brain MRI Alignment with the Robust Hausdorff Distance Measures, 2008. ,
A unified formulation of small-strain corotational finite elements: I. Theory, Computer Methods in Applied Mechanics and Engineering, vol.194, issue.21-24, pp.2285-2335, 2005. ,
DOI : 10.1016/j.cma.2004.07.035
Serial registration of intraoperative MR images of the brain, Medical Image Analysis, vol.6, issue.4, pp.337-359, 2002. ,
DOI : 10.1016/S1361-8415(02)00060-9
Automatic ultrasound???MRI registration for neurosurgery using the 2D and 3D LC2 Metric, Medical Image Analysis, vol.18, issue.8, pp.1312-1319, 2014. ,
DOI : 10.1016/j.media.2014.04.008
Towards measuring neuroimage misalignment, Computers in Biology and Medicine, vol.64, pp.12-23, 2015. ,
DOI : 10.1016/j.compbiomed.2015.06.003
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4742413
More accurate neuronavigation data provided by biomechanical modeling instead of rigid registration, Journal of Neurosurgery, vol.120, issue.6, pp.1477-1483, 2014. ,
DOI : 10.3171/2013.12.JNS131165
Brain shift in neuronavigation of brain tumors: A review, Medical Image Analysis, vol.35, pp.403-420, 2017. ,
DOI : 10.1016/j.media.2016.08.007
Strategies for brain shift evaluation, Medical Image Analysis, vol.8, issue.4, pp.447-464, 2004. ,
DOI : 10.1016/j.media.2004.02.001
Measurement of Intraoperative Brain Surface Deformation under a Craniotomy, Neurosurgery, vol.43, issue.3, pp.514-526, 1998. ,
DOI : 10.1097/00006123-199809000-00066
Intraoperative brain shift prediction using a 3D inhomogeneous patient-specific finite element model, Journal of Neurosurgery, vol.106, issue.1, pp.164-169, 2007. ,
DOI : 10.3171/jns.2007.106.1.164
Mutualinformation-based image to patient re-registration using intraoperative ultrasound in image-guided neurosurgery, Medical physics, p.35, 2008. ,
DOI : 10.1118/1.2977728
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2673587
Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulation, Medical Image Analysis, vol.13, issue.6, p.1275, 2009. ,
DOI : 10.1016/j.media.2008.12.001
Real-time nonlinear finite element computations on GPU ??? Application to neurosurgical simulation, Computer Methods in Applied Mechanics and Engineering, vol.199, issue.49-52, pp.3305-3314, 2010. ,
DOI : 10.1016/j.cma.2010.06.037
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3003932
Measurement of the hyperelastic properties of ex vivo brain tissue slices, Journal of Biomechanics, vol.44, issue.6, pp.1158-1163, 2011. ,
DOI : 10.1016/j.jbiomech.2011.01.019
Palpation of the Brain Using Magnetic Resonance Elastography, International Society for Magnetic Resonance in Medicine, pp.1285-258, 1999. ,
Magnetic resonance elastography of the brain, NeuroImage, vol.39, issue.1, pp.231-237, 2008. ,
DOI : 10.1016/j.neuroimage.2007.08.030
Efficient Inverse Isoparametric Mapping Algorithm for Whole-Body Computed Tomography Registration Using Deformations Predicted by Nonlinear Finite Element Modeling, Journal of Biomechanical Engineering, vol.136, issue.8, p.84503, 2014. ,
DOI : 10.1115/1.4027667
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4991307
Mechanical transient-based magnetic resonance elastography, Magnetic Resonance 1295 in Medicine, pp.628-639, 2005. ,
DOI : 10.1016/S0140-6736(86)90837-8
Comparing two approaches to rigid registration of three-dimensional ultrasound and magnetic resonance images for neurosurgery, International Journal of Computer Assisted Radiology and Surgery, vol.62, issue.3 Suppl 1, pp.125-136, 2012. ,
DOI : 10.1227/01.neu.0000317377.15196.45
Clinical evaluation of a model-updated image-guidance approach to brain shift compensation: experience in 16 cases, International Journal of Computer Assisted Radiology and Surgery, vol.61, issue.6, pp.1467-1474, 2015. ,
DOI : 10.1109/TBME.2014.2308299
Mechanical properties of brain tissue in tension, Journal of Biomechanics, vol.35, issue.4, pp.483-490, 2002. ,
DOI : 10.1016/S0021-9290(01)00234-2
Beyond finite elements: A comprehensive, patient-specific neurosurgical simulation utilizing a meshless method, Journal of Biomechanics, vol.45, issue.15, pp.2698-2701, 2012. ,
DOI : 10.1016/j.jbiomech.2012.07.031
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871993
Total Lagrangian explicit dynamics finite element algorithm for computing soft tissue deformation, Communications in Numerical Methods in Engineering, vol.33, issue.4, pp.121-134, 2007. ,
DOI : 10.1002/cnm.887
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. ,
DOI : 10.1016/j.jmbbm.2013.01.013
Estimation of intraoperative brain shift by combination of stereovision and doppler ultrasound: phantom and animal model study, International Journal of Computer Assisted Radiology and Surgery, vol.189, issue.5, pp.1753-1764, 2015. ,
DOI : 10.2214/AJR.06.1247
Biomechanical Modeling of Brain Soft Tissues for Medical Applications, Biomechanics of Living Organs: Hyperelastic Laws for Finite Element Modeling, 2017. ,
DOI : 10.1016/B978-0-12-804009-6.00006-7
Rest shape computation for highly deformable model of brain, Computer Methods in Biomechanics and Biomedical Engineering, vol.18, issue.sup1, 2006. ,
DOI : 10.1016/j.jfluidstructs.2011.08.002
URL : https://hal.archives-ouvertes.fr/hal-01217673
Biomechanical Model as a Registration Tool for Image-Guided Neurosurgery: Evaluation Against BSpline Registration, Annals of Biomedical Engineering, vol.26, issue.11, pp.2409-2425, 2013. ,
DOI : 10.1016/j.patrec.2004.09.022
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3939696
Stable real-time deformations, Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation , SCA '02, pp.49-54, 2002. ,
DOI : 10.1145/545261.545269
Serial Intraoperative Magnetic Resonance Imaging of Brain Shift, Neurosurgery, vol.48, pp.787-798, 2001. ,
Use of Cortical Surface Vessel Registration for Image-guided Neurosurgery, Neurosurgery, vol.40, issue.6, pp.1201-1210, 1997. ,
DOI : 10.1097/00006123-199706000-00018
Efficient, physically plausible finite elements, Eurographics, 2005. ,
URL : https://hal.archives-ouvertes.fr/inria-00394480
Quantification of, Visualization of, and Compensation for Brain Shift Using Intraoperative Magnetic Resonance Imaging, Neurosurgery, vol.47, issue.5, pp.1070-1080, 1345. ,
DOI : 10.1097/00006123-200011000-00008
Intraoperative compensation for brain shift, Surgical Neurology, vol.56, issue.6, pp.357-364, 2001. ,
DOI : 10.1016/S0090-3019(01)00628-0
A computational model for tracking subsurface tissue deformation during stereotactic neurosurgery, IEEE Transactions on Biomedical Engineering, vol.46, issue.2, pp.213-225, 1999. ,
DOI : 10.1109/10.740884
Volumetric Measurements of Brain Shift Using Intraoperative Cone-Beam Computed Tomography, Operative Neurosurgery, vol.12, issue.1, pp.4-13, 2016. ,
DOI : 10.1227/NEU.0000000000000999
Simulation of brain tumors in MR images for evaluation of segmentation efficacy, Medical Image Analysis, vol.13, issue.2, pp.1360-297, 2009. ,
DOI : 10.1016/j.media.2008.11.002
Validation of vessel-based registration for correction of brain shift, Medical Image Analysis, vol.11, issue.4, pp.374-388, 2007. ,
DOI : 10.1016/j.media.2007.04.002
Clinical validation of vessel-based registration for correction of brain-shift, Medical Image Analysis, vol.11, issue.6, pp.673-684, 2007. ,
DOI : 10.1016/j.media.2007.06.008
Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery, International Journal of Computer Assisted Radiology and Surgery, vol.21, issue.2, pp.1017-1028, 2015. ,
DOI : 10.1109/TMI.2010.2091966
Intraoperative Brain Shift and Deformation: A Quantitative Analysis of Cortical Displacement in 28 Cases, Neurosurgery, vol.43, issue.4, pp.1375-749, 1998. ,
DOI : 10.1097/00006123-199810000-00010
The impact of aging and gender on brain viscoelasticity, NeuroImage, vol.46, issue.3, pp.652-657, 2009. ,
DOI : 10.1016/j.neuroimage.2009.02.040
GPU-accelerated surgery simulation for opening a brain fissure, ROBOMECH Journal, vol.4, issue.1, pp.1-16, 2015. ,
DOI : 10.15676/ijeei.2012.4.1.2
URL : http://doi.org/10.1186/s40648-015-0040-0
In vivo measurement of human brain elasticity using a light aspiration device, Medical Image Analysis, vol.13, issue.4, pp.673-678, 2009. ,
DOI : 10.1016/j.media.2009.04.001
URL : https://hal.archives-ouvertes.fr/hal-00374101
The Visualization Toolkit Kitware, 2006. ,
Prior-Based Coregistration and Cosegmentation, Medical Image Computing and Computer-Assisted Intervention -MICCAI 2016, pp.1390-529, 2016. ,
DOI : 10.1109/TMI.2011.2163944
URL : https://hal.archives-ouvertes.fr/hal-01349189
Fast robust automated brain extraction, Human Brain Mapping, vol.20, issue.3, pp.143-155, 2002. ,
DOI : 10.1002/hbm.10062
Stereopsis-Guided Brain Shift Compensation, IEEE Transac- 1395 tions on Medical Imaging, pp.1039-1052, 2005. ,
Cortical Surface Tracking Using a Stereoscopic Operating Microscope, Operative Neurosurgery, vol.56, pp.86-97, 2005. ,
DOI : 10.1227/01.NEU.0000146263.98583.CC
Near Real-Time Computer Assisted Surgery for Brain Shift Correction Using Biomechanical Models, IEEE Journal of Translational Engineering in Health and Medicine, vol.2, pp.1-13, 2014. ,
Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool, BMC Medical Imaging, vol.1, issue.3, p.29, 2015. ,
DOI : 10.1002/jmri.22473
URL : http://doi.org/10.1186/s12880-015-0068-x
On the appropriateness of modelling brain parenchyma as a biphasic continuum, Journal of the Mechanical Behavior of Biomedical Materials, vol.61, pp.511-518, 2016. ,
DOI : 10.1016/j.jmbbm.2016.04.010
Determination 1410 of Gray and White Matter Elasticity with MR Elastography, Proc. Intl. Soc, 2004. ,
Modeling of Brain Shift Phenomenon for Different Craniotomies and Solid Models, Journal of Applied Mathematics, vol.24, issue.5, 2012. ,
DOI : 10.1109/TMI.2005.856734
Based Update of Preoperative Brain Images Using Intra- 1420 operative MRI, International Journal of Biomedical Imaging, p.872783, 2012. ,
Automatic Centerline Extraction for Virtual Colonoscopy, IEEE Transactions on Medical Imaging, vol.21, pp.1450-1460, 2002. ,
On the unimportance of constitutive models in computing brain deformation for image-guided surgery, Biomechanics and Modeling in Mechanobiology, vol.5, issue.1, pp.77-84, 2009. ,
DOI : 10.1115/1.3426188
Patient-specific model of brain deformation: Application to medical image registration, Journal of Biomechanics, vol.40, issue.4, pp.919-929, 2007. ,
DOI : 10.1016/j.jbiomech.2006.02.021
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability, NeuroImage, vol.31, issue.3, pp.31-1116, 2006. ,
DOI : 10.1016/j.neuroimage.2006.01.015
Patient-specific computational biomechanics of the brain without segmentation and meshing, International Journal for Numerical Methods in Biomedical Engineering, vol.199, issue.49-52, pp.293-308, 1440. ,
DOI : 10.1016/j.cma.2010.06.037