Segmentation of kidneys using a new active shape model generation technique based on non-rigid image registration, Computerized Medical Imaging and Graphics, vol.33, issue.1, pp.29-39, 2009. ,
DOI : 10.1016/j.compmedimag.2008.10.002
Renal Cortex Segmentation Using Optimal Surface Search with Novel Graph Construction, In: MICCAI. LNCS, vol.12, issue.2, pp.387-94, 2011. ,
DOI : 10.1109/TITB.2008.926395
3D Kidney Segmentation from CT Images Using a Level Set Approach Guided by a Novel Stochastic Speed Function, In: MICCAI. LNCS, vol.26, issue.3, pp.587-94, 2011. ,
DOI : 10.1023/A:1007958904918
An Automated Segmentation Method of Kidney Using Statistical Information, In: MICCAI. LNCS, vol.2488, pp.556-63, 2002. ,
DOI : 10.1007/3-540-45786-0_69
Real-Time 3D Image Segmentation by User-Constrained Template Deformation, MICCAI, 2012. ,
DOI : 10.1007/978-3-642-33415-3_69
URL : https://hal.archives-ouvertes.fr/hal-00779423
Automatic Labeling of Anatomical Structures in MR FastView Images Using a Statistical Atlas, In: MICCAI. LNCS, vol.5241, pp.576-84, 2008. ,
DOI : 10.1007/978-3-540-85988-8_69
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
Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images, Inf Process Med Imaging, pp.184-96, 2011. ,
DOI : 10.1007/978-3-642-22092-0_16
Decision Forests with Long-Range Spatial Context for Organ Localization in CT Volumes, 2009. ,
Database-Guided Segmentation of Anatomical Structures with Complex Appearance, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.429-465, 2005. ,
DOI : 10.1109/CVPR.2005.119
Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features, IEEE Transactions on Medical Imaging, vol.27, issue.11, pp.1668-81, 2008. ,
DOI : 10.1109/TMI.2008.2004421
Image based regression using boosting method, In: ICCV. IEEE, vol.1, pp.541-589, 2005. ,
Regression Forests for Efficient Anatomy Detection and Localization in CT Studies, Proc. of the 2010 international MICCAI conference on Medical computer vision. MCV'10, pp.106-117, 2011. ,
DOI : 10.1007/978-3-642-18421-5_11
Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences, In: MICCAI. LNCS, vol.29, pp.239-286, 2011. ,
DOI : 10.1016/0031-3203(95)00067-4
Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
DOI : 10.1023/A:1010933404324
Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning, Foundations and Trends?? in Computer Graphics and Vision, vol.7, issue.2-3, 2011. ,
DOI : 10.1561/0600000035
Cascaded pose regression, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1078-85, 2010. ,
DOI : 10.1109/CVPR.2010.5540094