Biochemical outcome after radical prostatectomy, external beam radiation therapy, or interstitial radiation therapy for clinically localized prostate cancer, 1998. ,
Calvin <i>Quo Vadis</i> , Atlas-Based Segmentation Handbook of Biomedical Image Analysis, pp.435-486, 2005. ,
Ladak Prostate boundary segmentation from ultrasound images using 2D active shape models: Optimisation and extension to 3D, Comput. Methods Programs Biomed, vol.84, pp.2-3, 2006. ,
Haigron and Caroline Lafond and Renaud de Crevoisier Voxel-based population analysis for correlating local dose and rectal toxicity in prostate cancer radiotherapy, Physics in Medicine and Biology, issue.8, pp.58-2581, 2013. ,
Simon Target-volume and critical-organ delineation for conformal radiotherapy of prostate cancer: experience of French dose-escalation trials Cancer Radiother, pp.78-92, 2002. ,
Radiation therapy for localized prostate cancer Justification by long-term follow-up, Urol Clin North Am, vol.17, issue.4, pp.787-802, 1990. ,
Clinical assessment of outcome of prostate cancer (TCP, NTCP), Rays, vol.30, issue.2, pp.109-129, 2005. ,
Review of shape representation and description techniques, Pattern Recognition, vol.37, issue.1, pp.1-19, 2004. ,
DOI : 10.1016/j.patcog.2003.07.008
Urinary Obstruction in Prostate Cancer Patients From the Dutch Trial (68 Gy vs. 78 Gy): Relationships With Local Dose, Acute Effects, and Baseline Characteristics, International Journal of Radiation Oncology*Biology*Physics, vol.78, issue.1, 2010. ,
DOI : 10.1016/j.ijrobp.2009.07.1680
Atlas Based Segmentation and Mapping of Organs at Risk from Planning CT for the Development of Voxel-Wise Predictive Models of Toxicity in Prostate Radiotherapy, Prostate Cancer Imaging MICCAI 2010, pp.42-51, 2010. ,
DOI : 10.1007/978-3-642-15989-3_6
URL : https://hal.archives-ouvertes.fr/hal-00910242
Clinical Application of High-Dose, Image-Guided Intensity-Modulated Radiotherapy in High-Risk Prostate Cancer, International Journal of Radiation Oncology*Biology*Physics, vol.77, issue.2, pp.477-83, 2010. ,
DOI : 10.1016/j.ijrobp.2009.05.006
Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models, Tech. Rep, 1998. ,
Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models, MICCAI 2007, pp.252-260, 2007. ,
DOI : 10.1007/978-3-540-75757-3_31
URL : https://hal.archives-ouvertes.fr/inria-00616041
<title>Statistical models of appearance for medical image analysis and computer vision</title>, Medical Imaging 2001: Image Processing, pp.236-248, 2001. ,
DOI : 10.1117/12.431093
Dosimetric treatment course simulation based on a statistical model of deformable organ motion, Physics in Medicine and Biology, vol.57, issue.12, p.3693, 2012. ,
DOI : 10.1088/0031-9155/57/12/3693
Assessment of consistency in contouring of normaltissue anatomic structures, Journal of Applied Clinical Medical Physics, vol.4, 2003. ,
Intra- and inter-observer variability in contouring prostate and seminal vesicles: implications for conformal treatment planning, Radiotherapy and Oncology, vol.47, issue.3, pp.285-292, 1998. ,
DOI : 10.1016/S0167-8140(98)00021-8
Organ motion and its management, International Journal of Radiation Oncology*Biology*Physics, vol.50, issue.1, pp.265-278, 2001. ,
DOI : 10.1016/S0360-3016(01)01453-5
Adán Fuzzy-snake segmentation of anatomical structures applied to ct images ICIAR, pp.33-42, 2004. ,
Roldán S Organ contouring for prostate cancer: Interobserver and internal organ motion variability Computerized Medical Imaging and Graphics, pp.29-639, 2005. ,
Intensit??tsmodulierte Strahlentherapie des lokal begrenzten Prostatakarzinoms. Aktueller Stand und Entwicklungen, Strahlentherapie und Onkologie, vol.183, issue.2, pp.57-62, 2007. ,
DOI : 10.1007/s00066-007-1631-3
Segmenting the prostate and rectum in CT imagery using anatomical constraints, Medical Image Analysis, vol.15, issue.1, pp.1-11, 2011. ,
DOI : 10.1016/j.media.2010.06.004
Segmenting the prostate and rectum in CT imagery using anatomical constraints, Medical Image Analysis, vol.15, issue.1, pp.1-11, 2011. ,
DOI : 10.1016/j.media.2010.06.004
CR Multi-classifier framework for atlas-based image segmentation Pattern Recognition Letters, pp.2070-2079, 2005. ,
Learning image context for segmentation of the prostate in CT-guided radiotherapy, Physics in Medicine and Biology, vol.57, issue.5, p.1283, 2012. ,
DOI : 10.1088/0031-9155/57/5/1283
Automatic Segmentation of Intra-treatment CT Images for Adaptive Radiation Therapy of the Prostate, Med Image Comput Comput Assist Interv, vol.8, pp.442-50, 2005. ,
DOI : 10.1007/11566465_55
Multiscale deformable model segmentation and statistical shape analysis using medial descriptions, IEEE Transactions on Medical Imaging, vol.21, issue.5, pp.2012-538 ,
DOI : 10.1109/TMI.2002.1009389
Segmentation of pelvic structures from planning CT based on a statistical shape model with a multiscale edge detector and geometrical likelihood measures. Image-Guidance and Multimodal Dose Planning in Radiation Therapy, 2012. ,
Fast and Simple Calculus on Tensors in the Log-Euclidean Framework Arsigny, Nicholas Medical Image Computing and Computer-Assisted Intervention MICCAI, pp.115-122, 2005. ,
Constrained Surface Evolutions for Prostate and Bladder Segmentation in CT Images. Computer Vision for Biomedical Image Applications, 2005. ,
Automated model-based organ delineation for radiotherapy planning in prostatic regions, Int. J. Radiat. Oncol. Biol. Phys, vol.3, pp.973-980, 2004. ,
Dinggang: Segmenting CT prostate images using population and patient-specific statistics for radiotherapy deformable models, IEEE ISBI, pp.282-285, 2009. ,
Simultaneous fully automatic segmentation of male pelvic risk structures, In: Estro. European society for Radioherapy and oncology, 2012. ,
Multi-classifier framework for atlas-based image segmentation. Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol.1, pp.255-260, 2004. ,
Atlas-Based Auto-segmentation of Head and Neck CT Images, pp.434-441, 2008. ,
DOI : 10.1007/978-3-540-85990-1_52
Multi-Atlas-Based Segmentation With Local Decision Fusion—Application to Cardiac and Aortic Segmentation in CT Scans, IEEE Transactions on Medical Imaging, vol.28, issue.7, pp.1000-1010, 2009. ,
DOI : 10.1109/TMI.2008.2011480
Evaluation of multi-atlas-based segmentation of CT scans in prostate cancer radiotherapy, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.1966-1969, 2011. ,
DOI : 10.1109/ISBI.2011.5872795
URL : https://hal.archives-ouvertes.fr/hal-00908596
Statistical shape models for 3D medical image segmentation: A review, Medical Image Analysis, vol.13, issue.4, pp.543-563, 2009. ,
DOI : 10.1016/j.media.2009.05.004
Modelling individual geometric variation based on dominant eigenmodes of organ deformation: implementation and evaluation, Physics in Medicine and Biology, vol.50, issue.24, p.5893, 2005. ,
DOI : 10.1088/0031-9155/50/24/009
Generation of Point-Based 3D Statistical Shape Models for Anatomical Objects, Computer Vision and Image Understanding, vol.77, issue.2, pp.175-191, 2000. ,
DOI : 10.1006/cviu.1999.0814
Reconstructing a 3D structure from serial histological sections, Image and Vision Computing, vol.19, issue.1-2, pp.25-31, 2001. ,
DOI : 10.1016/S0262-8856(00)00052-4
URL : https://hal.archives-ouvertes.fr/cea-00333669
Feature detection with automatic scale selection, International Journal of Computer Vision, vol.30, issue.2, pp.79-116, 1998. ,
DOI : 10.1023/A:1008045108935
Scale space: Its natural operators and differential invariants, Colchester.: Information Processing in Medical Imaging, pp.239-255, 1991. ,
DOI : 10.1007/BFb0033757
Nonrigid registration using free-form deformations: application to breast MR images, IEEE Transactions on Medical Imaging, vol.18, issue.8, pp.712-721, 1999. ,
DOI : 10.1109/42.796284
Optimum template selection for atlas-based segmentation, NeuroImage, vol.34, issue.4, pp.1612-1618, 2007. ,
DOI : 10.1016/j.neuroimage.2006.07.050
Sparse Patch Based Prostate Segmentation in CT Images Medical Image Computing and Computer-Assisted Intervention MICCAI, pp.385-392, 2012. ,
Dinggang Shen Prostate segmentation by sparse representation based classification Medical Image Computing and Computer-Assisted Intervention MICCAI, pp.451-458, 2012. ,
Image matching as a diffusion process: an analogy with Maxwell's demons, Medical Image Analysis, vol.2, issue.3, pp.243-260, 1998. ,
DOI : 10.1016/S1361-8415(98)80022-4