Seeded Region Growing, IEEE Trans. Pattern Anal. Mach. Intell, vol.16, issue.6, pp.641-647, 1994. ,
Neural network based segmentation of magnetic resonance images of the brain, IEEE Nuclear Science Symposium & Medical Imaging Conference 3, pp.1397-1401, 1995. ,
Registration of MR prostate images with biomechanical modeling and nonlinear parameter estimation, Medical Physics, vol.20, issue.2, pp.446-454, 2006. ,
DOI : 10.1118/1.1414009
Least-Squares Fitting of Two 3-D Point Sets, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.9, issue.5, pp.698-700, 1987. ,
DOI : 10.1109/TPAMI.1987.4767965
MRI Sensitivity Correction and Tissue Classification, NeuroImage, vol.7, issue.4, p.107, 1998. ,
A Combined Statistical and Biomechanical Model for Estimation of Intra-operative Prostate Deformation, MICCAI '02 : Proceedings of the 5th International Conference on Medical Image Computing and Computer- Assisted Intervention-Part II, pp.452-460, 2002. ,
Towards 3D??Ultrasound Image Based Soft Tissue Tracking: A Transrectal Ultrasound Prostate Image Alignment System, 2007. ,
DOI : 10.1007/978-3-540-75759-7_4
URL : https://hal.archives-ouvertes.fr/hal-00193084
A Method for Registration of 3-D Shapes, IEEE Trans. Pattern Anal. Mach. Intell, vol.14, issue.2, pp.239-256, 1992. ,
RETRACTED: 3D delineation of prostate, rectum and bladder on MR images, Computerized Medical Imaging and Graphics, vol.32, issue.7, pp.622-630, 2008. ,
DOI : 10.1016/j.compmedimag.2008.07.002
Consistent groupwise non-rigid registration for atlas constructionConsistent groupwise non-rigid registration for atlas construction, Biomedical Imaging : Macro to Nano, 2004. ,
Atlas-based automatic segmentation of MR images: Validation study on the brainstem in radiotherapy context, International Journal of Radiation Oncology*Biology*Physics, vol.61, issue.1, pp.289-98, 2005. ,
DOI : 10.1016/j.ijrobp.2004.08.055
URL : https://hal.archives-ouvertes.fr/inria-00615664
Thin-Plate splines and the atlas problem for biomedical images, Information Processing in Medical Imaging, 1991. ,
DOI : 10.1007/BFb0033763
Optimized homomorphic unsharp masking for MR grayscale inhomogeneity correction, IEEE Transactions on Medical Imaging, vol.17, issue.2, pp.161-171, 1998. ,
DOI : 10.1109/42.700729
Fast fluid registration of medical images, Visualization in Biomedical Computing. 4th International Conference, VBC '96 Proceedings, pp.267-276, 1996. ,
How to Trade Off between Regularization and Image Similarity in Non-rigid Registration ?, 4th Int. Conf. on Medical Image Computing and Computer- Assisted Intervention (MICCAI'01), pp.1285-1286, 2001. ,
DOI : 10.1007/3-540-45468-3_196
URL : https://hal.archives-ouvertes.fr/inria-00615870
Iconic feature based nonrigid registration: the PASHA algorithm, Computer Vision and Image Understanding, vol.89, issue.2-3, pp.2-3, 2003. ,
DOI : 10.1016/S1077-3142(03)00002-X
URL : https://hal.archives-ouvertes.fr/inria-00615633
Geodesic active contours, Proceedings of IEEE International Conference on Computer Vision, pp.61-79, 1997. ,
DOI : 10.1109/ICCV.1995.466871
Entropy-Based Particle Systems for Shape Correspondence, Proceedings of the Workshop on Mathematical Foundations of Computational Anatomy, MICCAI, pp.90-99, 2006. ,
URL : https://hal.archives-ouvertes.fr/inria-00634198
Deformable templates using large deformation kinematics, IEEE Transactions on Image Processing, vol.5, issue.10, pp.1435-1447, 1996. ,
DOI : 10.1109/83.536892
On active contour models and balloons, CVGIP : Image Underst, vol.53, issue.2, pp.211-218, 1991. ,
Image segmentation by clustering, Proceedings of the IEEE, 1979. ,
DOI : 10.1109/PROC.1979.11327
Non-linear cerebral registration with sulcal constraints, Medical Image Computing and Computer-Assisted Interventation ? MICCAI 98, 1998. ,
DOI : 10.1142/S0218001497000597
Efficient Selection of the Most Similar Image in a Database for Critical Structures Segmentation, Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), Part II, pp.203-210, 2007. ,
DOI : 10.1007/978-3-540-75759-7_25
URL : https://hal.archives-ouvertes.fr/inria-00616045
Image non-uniformity in magnetic resonance imaging: its magnitude and methods for its correction, The British Journal of Radiology, vol.60, issue.709, pp.83-87, 1987. ,
DOI : 10.1259/0007-1285-60-709-83
Combining point distribution models with shape models based on finite element analysis, BMVC 94 : Proceedings of the conference on British machine vision, pp.419-428, 1994. ,
Active Shape Models-Their Training and Application, Computer Vision and Image Understanding, vol.61, issue.1, pp.38-59, 1995. ,
DOI : 10.1006/cviu.1995.1004
Active appearance models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.6, pp.681-685, 2001. ,
DOI : 10.1109/34.927467
Sébastien Novellas & Nicholas Ayache Automatic Segmentation of bladder and prostate using coupled 3D deformable models, Proc. MICCAI, 2007. ,
MRI/TRUS data fusion for brachytherapy, The International Journal of Medical Robotics and Computer Assisted Surgery, vol.18, issue.3, pp.256-261, 2007. ,
DOI : 10.1002/rcs.95
URL : https://hal.archives-ouvertes.fr/hal-00195006
Biochemical outcome after radical prostatectomy, external beam radiation therapy, or interstitial radiation therapy for clinically localized prostate cancer, JAMA, vol.74, p.280969, 1998. ,
Parameter estimation for finite mixture distributions. omputers & mathematics with applications, pp.819-828, 1988. ,
A Minimum Description Length Approach to Statistical Shape Modelling, Lecture Notes in Computer Science, vol.2082, p.50, 2001. ,
Brachytherapy???an example of a urological minimally invasive robotic procedure, The International Journal of Medical Robotics and Computer Assisted Surgery, vol.37, issue.1, pp.88-96, 2004. ,
DOI : 10.1002/rcs.10
Correction of intensity variations in MR images for computer-aided tissue classification, IEEE Transactions on Medical Imaging, vol.12, issue.4, pp.770-781, 1993. ,
DOI : 10.1109/42.251128
Shape and Topology Constraints on Parametric Active Contours, Computer Vision and Image Understanding, vol.83, issue.2, pp.140-171, 2001. ,
DOI : 10.1006/cviu.2001.0920
URL : https://hal.archives-ouvertes.fr/inria-00072773
Robotic assistance for ultrasound-guided prostate brachytherapy, MICCAI, 2007. ,
DOI : 10.1016/j.media.2008.06.002
Robotic assistant for transperineal prostate interventions in 3T closed MRI, MICCAI, 2007. ,
Integrated Approach for Matching Statistical Shape Models with Intra-operative 2D and 3D Data, MICCAI (2), pp.364-372, 2002. ,
DOI : 10.1007/3-540-45787-9_46
Elastically Deforming 3D Atlas to Match Anatomical Brain Images, Journal of Computer Assisted Tomography, vol.17, issue.2, pp.225-236, 1993. ,
DOI : 10.1097/00004728-199303000-00011
Tumour volume determination from MR images by morphological segmentation, Physics in Medicine and Biology, vol.41, issue.11, pp.2437-2446, 1996. ,
DOI : 10.1088/0031-9155/41/11/014
Average Brain Models: A Convergence Study, Computer Vision and Image Understanding, vol.77, issue.2, pp.192-210, 2000. ,
DOI : 10.1006/cviu.1999.0815
URL : https://hal.archives-ouvertes.fr/inria-00072934
An algorithm for compensation of surface-coil images for sensitivity of the surface coil, Magnetic Resonance Imaging, vol.4, issue.6, pp.469-472, 1986. ,
DOI : 10.1016/0730-725X(86)90024-X
Needle Insertion Simulation for Image-Guided Brachytherapy of Prostate Cancer, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008. ,
DOI : 10.1109/ICBBE.2008.749
Markov random field segmentation of brain MR images, IEEE Transactions on Medical Imaging, vol.16, issue.6, pp.878-886, 1997. ,
DOI : 10.1109/42.650883
Coupling dense and landmark-based approaches for nonrigid registration, IEEE Transactions on Medical Imaging, vol.22, issue.2, pp.217-227, 2003. ,
DOI : 10.1109/TMI.2002.808365
A biplanar fluoroscopic approach for the measurement, modeling, and simulation of needle and soft-tissue interaction, Medical Image Analysis, vol.11, pp.62-78, 2007. ,
Metamorphs : Deformable Shape and Appearance Models, IEEE Trans. Pattern Anal. Mach. Intell, vol.30, issue.8, pp.1444-1459, 2008. ,
Non-linear 2D and 3D Registration Using Block-Matching and B-Splines, Bildverarbeitung fuer die Medizin 2005, Informatik aktuell, pp.325-329, 2005. ,
DOI : 10.1007/3-540-26431-0_67
URL : https://hal.archives-ouvertes.fr/inria-00615991
Heinz Handels & Nicholas Ayache. Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities, MICCAI, pp.959-967, 2007. ,
Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI, IEEE Transactions on Medical Imaging, vol.15, issue.2, pp.154-169, 1996. ,
DOI : 10.1109/42.491417
Unbiased diffeomorphic atlas construction for computational anatomy, NeuroImage, vol.23, 2004. ,
DOI : 10.1016/j.neuroimage.2004.07.068
Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, pp.321-331, 1988. ,
DOI : 10.1007/BF00133570
Automated segmentation of the left ventricle in cardiac MRI, Medical Image Analysis, vol.8, issue.3, pp.245-254, 2004. ,
DOI : 10.1016/j.media.2004.06.015
Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information, Medical Physics, vol.25, issue.11, pp.1407-1417, 2008. ,
DOI : 10.1109/TMI.2006.880587
On standardizing the MR image intensity scale, Magnetic Resonance in Medicine, vol.42, issue.6, pp.1072-1081, 1999. ,
A contour-based approach to multisensor image registration, IEEE Transactions on Image Processing, vol.4, issue.3, pp.320-334, 1995. ,
DOI : 10.1109/83.366480
An adaptive spatial fuzzy clustering algorithm for 3-D MR image segmentation, IEEE Transactions on Medical Imaging, vol.22, issue.9, pp.1063-1075, 2003. ,
DOI : 10.1109/TMI.2003.816956
Retrospective correction of MR intensity inhomogeneity by information minimization, IEEE Transactions on Medical Imaging, vol.20, issue.12, pp.1398-1410, 2000. ,
DOI : 10.1109/42.974934
Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration, MICCAI '02 : Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I, pp.642-650, 2002. ,
Toward automatic zonal segmentation of prostate by combining a deformable model and a probabilistic framework, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. ,
DOI : 10.1109/ISBI.2008.4540934
URL : https://hal.archives-ouvertes.fr/hal-00776496
Comparisons of Needle Insertion in Brachytherapy Protocols using a Soft Tissue Model, Proceedings of the Third International Conference Surgetica'07, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00206197
Phase and sensitivity of receiver coils in magnetic resonance imaging, Medical Physics, vol.13, issue.6, pp.806-814, 1986. ,
DOI : 10.1118/1.595967
Shape and nonrigid motion estimation through physics-based synthesis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.15, issue.6, pp.580-591, 1993. ,
DOI : 10.1109/34.216727
Retrospective correction of intensity inhomogeneities in MRI, IEEE Transactions on Medical Imaging, vol.14, issue.1, pp.36-41, 1995. ,
DOI : 10.1109/42.370400
A Comparison of Affine Region Detectors, International Journal of Computer Vision, vol.65, issue.1-2, pp.1-2, 2005. ,
DOI : 10.1007/s11263-005-3848-x
URL : https://hal.archives-ouvertes.fr/inria-00548528
Numerical methods for image registration, 2004. ,
DOI : 10.1093/acprof:oso/9780198528418.001.0001
A review of deformable surfaces: topology, geometry and deformation, Image and Vision Computing, vol.19, issue.14, pp.1023-1040, 2001. ,
DOI : 10.1016/S0262-8856(01)00064-6
URL : https://hal.archives-ouvertes.fr/inria-00615110
Magnetic resonance imaging compatible robotic system for fully automated brachytherapy seed placement, Urology, vol.68, issue.6, pp.1313-1317, 2006. ,
DOI : 10.1016/j.urology.2006.08.1089
Effect of Radio Frequency Inhomogeneity Correction on the Reproducibility of Intra-Cranial Volumes Using MR Image Data, Magnetic Resonance in Medicine, vol.2, issue.3, pp.396-400, 1995. ,
DOI : 10.1002/mrm.1910330312
Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations, Journal of Computational Physics, vol.79, issue.1, pp.12-49, 1988. ,
DOI : 10.1016/0021-9991(88)90002-2
Level set methods and dynamic implicit surfaces, 2002. ,
An adaptive clustering algorithm for image segmentation, IEEE Transactions on Signal Processing, vol.40, issue.4, pp.901-914, 1992. ,
DOI : 10.1109/78.127962
Construction of an abdominal probabilistic atlas and its application in segmentation, IEEE Transactions on Medical Imaging, vol.22, issue.4, pp.483-492, 2003. ,
DOI : 10.1109/TMI.2003.809139
Least Biased Target Selection in Probabilistic Atlas Construction, Medical Image Computing and Computer-Assisted Intervention. MICCAI 2005, 2005. ,
DOI : 10.1007/11566489_52
Automatic Brachytherapy Seed Placement Under MRI Guidance, IEEE Transactions on Biomedical Engineering, vol.54, issue.8, pp.1499-1506, 2007. ,
DOI : 10.1109/TBME.2007.900816
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3099459
Understanding the ???Demon???s Algorithm???: 3D Non-rigid Registration by Gradient Descent, Proc. of 2nd Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI'99), volume 1679 of LNCS, pp.597-605, 1999. ,
DOI : 10.1007/10704282_64
Maximum likelihood estimation of the bias field in MR brain images, Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, 2001. ,
URL : https://hal.archives-ouvertes.fr/inria-00615873
Definition of the prostate in CT and MRI: a multi-observer study, International Journal of Radiation Oncology*Biology*Physics, vol.43, issue.1 ,
DOI : 10.1016/S0360-3016(98)00351-4
Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images : Application to Multiple Sclerosis, IPMI '99 : Proceedings of the 16th International Conference on Information Processing in Medical Imaging, pp.154-157, 1999. ,
URL : https://hal.archives-ouvertes.fr/inria-00073125
MRI/TRUS data fusion for prostate brachytherapy. Preliminary results, Medical Physics, vol.23, issue.5, pp.1568-1575, 2004. ,
DOI : 10.1118/1.1739003
URL : https://hal.archives-ouvertes.fr/hal-00206282
The correlation ratio as a new similarity measure for multimodal image registration, MICCAI '98 : Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.1115-1124, 1998. ,
DOI : 10.1097/00004728-199307000-00004
URL : https://hal.archives-ouvertes.fr/cea-00333675
Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains, NeuroImage, vol.21, issue.4, pp.1428-1442, 2004. ,
DOI : 10.1016/j.neuroimage.2003.11.010
Scale-based fuzzy connected image segmentation : theory, algorithms, and validation, Comput. Vis. Image Underst, vol.77, issue.9, pp.145-174, 2000. ,
A survey of thresholding techniques, Computer Vision, Graphics, and Image Processing, vol.41, issue.2, pp.233-260, 1988. ,
DOI : 10.1016/0734-189X(88)90022-9
Semi-Automatic Prostate Segmentation of MR Images Based on Flow Orientation, 2006 IEEE International Symposium on Signal Processing and Information Technology, 2006. ,
DOI : 10.1109/ISSPIT.2006.270797
Comparaison of digital rectal examination, transrectal ultrasonography, and multicoil magnetic resonance imaging for preoperative evaluation of prostate cancer, Eur Urology, vol.32, pp.140-149, 1997. ,
Pattern recognition : statistical, structural and neural approaches, 1991. ,
Prostate : MR imaging with an endorectal surface coil, Radiology, vol.172, pp.570-574, 1989. ,
Survey over image thresholding techniques and quantitative performance evaluation, Journal of Electronic Imaging, vol.13, pp.146-165, 2004. ,
Morphable Surface Models, Int. J. Comput. Vision, vol.38, issue.1, pp.75-91, 2000. ,
Pathologic basis of the sonographic appearance of the normal and malignant prostate, Urol Clin North Am, vol.16, pp.675-692, 1989. ,
Sources of intensity nonuniformity in spin echo images at 1.5 T, Magnetic Resonance in Medicine, vol.63, issue.1, pp.121-128, 2005. ,
DOI : 10.1002/mrm.1910320117
A nonparametric method for automatic correction of intensity non-uniformity in MRI data, IEEE Transactions on Medical Imaging, pp.87-97, 1998. ,
MR Depiction of Zonal Anatomy of the Prostate at 1.5 T, Journal of Computer Assisted Tomography, vol.10, issue.6, pp.763-768, 1986. ,
DOI : 10.1097/00004728-198611000-00017
Boundary Finding with Parametrically Deformable Models, IEEE Trans. Pattern Anal. Mach. Intell, vol.14, issue.11, pp.1061-1075, 1992. ,
An overlap invariant entropy measure of 3D medical image alignment, Pattern Recognition, vol.32, issue.1, pp.71-86, 1999. ,
DOI : 10.1016/S0031-3203(98)00091-0
Handbook of biomedical image analysis : Volume 1 : Segmentation models part a (topics in biomedical engineeringinternational book series), 2005. ,
Matching 3-D anatomical surfaces with non-rigid deformations using octree-splines, Proceedings of IEEE Workshop on Biomedical Image Analysis, pp.171-186, 1996. ,
DOI : 10.1109/BIA.1994.315860
Dynamic 3D models with local and global deformations: deformable superquadrics, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.7, pp.703-714, 1991. ,
DOI : 10.1109/34.85659
A shape-based approach to the segmentation of medical imagery using level sets, IEEE Transactions on Medical Imaging, vol.22, issue.2, pp.137-154, 2003. ,
DOI : 10.1109/TMI.2002.808355
Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation, IEEE Transactions on Medical Imaging, vol.23, issue.7, pp.903-921, 2004. ,
DOI : 10.1109/TMI.2004.828354
Robot-assisted 3D-TRUS guided prostate brachytherapy: System integration and validation, Medical Physics, vol.2, issue.3, pp.539-548, 2004. ,
DOI : 10.1118/1.1645680
Optimum template selection for atlas-based segmentation, NeuroImage, vol.34, issue.4, pp.1612-1618, 2006. ,
DOI : 10.1016/j.neuroimage.2006.07.050
A hybrid ASM approach for sparse volumetric data segmentation, Pattern Recognition and Image Analysis, vol.17, issue.2, pp.346-349, 2005. ,
DOI : 10.1134/S1054661807020125
Image registration methods : a survey, Image and Vision Computing, vol.21, issue.11, pp.977-1000, 2003. ,
Semi-automatic segmentation of the prostate in MRI, In Lect. Notes on Comput. Sci, 2003. ,