Vessel Tree Reconstruction in Thoracic CT Scans With Application to Nodule Detection, IEEE Transaction on Medical Imaging, vol.24, issue.4, pp.486-499, 2005. ,
An Active Contour Model for Segmenting and Measuring Retinal Vessels, IEEE Transactions on Medical Imaging, vol.28, issue.9, pp.1488-1497, 2009. ,
DOI : 10.1109/TMI.2009.2017941
A Hybrid Geometric–Statistical Deformable Model for Automated 3-D Segmentation in Brain MRI, IEEE Transactions on Biomedical Engineering, vol.56, issue.7, pp.1838-1848, 2009. ,
DOI : 10.1109/TBME.2009.2017509
Volume change determination of metastatic lung tumors in CT images using 3-D template matching, Medical Imaging 2009: Computer-Aided Diagnosis, 2009. ,
DOI : 10.1117/12.813593
Comparison of ventricular geometry for two real time 3D ultrasound machines with three dimensional level set, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821), pp.1323-1326, 2004. ,
DOI : 10.1109/ISBI.2004.1398790
Handbook of Biomedical Image Analysis, chapter State-of-Art of Levelset Methods in Segmentation and Registration of Medical Imaging Modalities, pp.47-102, 2005. ,
Homogeneity Measures for Multiphase Level Set Segmentation of Brain MRI, 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., pp.746-749, 2006. ,
DOI : 10.1109/ISBI.2006.1625024
A region based active contour method for x-ray lung segmentation using prior shape and low level features, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.892-895, 2010. ,
DOI : 10.1109/ISBI.2010.5490130
Segmentation of fetal 3D ultrasound based on statistical prior and deformable model, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.17-20, 2008. ,
DOI : 10.1109/ISBI.2008.4540921
Automated detection of lung nodules in CT scans: Preliminary results, Medical Physics, vol.127, issue.8, pp.1552-1561, 2001. ,
DOI : 10.1118/1.1387272
Automated lung segmentation for thoracic CT, Academic Radiology, vol.11, issue.9, pp.1011-1021, 2004. ,
DOI : 10.1016/j.acra.2004.06.005
The contribution of integrated PET/CT to the evolving definition of treatment volumes in radiation treatment planning in lung cancer, International Journal of Radiation Oncology*Biology*Physics, vol.63, issue.4, pp.1016-1023, 2005. ,
DOI : 10.1016/j.ijrobp.2005.04.021
Recalage non-rigide multimodal des images radiologiques par information mutuelle quadratique normalisée, 2004. ,
Robust Adaptive Segmentation of 3D Medical Images with Level Sets, 2000. ,
URL : https://hal.archives-ouvertes.fr/inria-00072562
Segmentation of brain 3D MR images using level sets and dense registration, Medical Image Analysis, vol.5, issue.3, pp.185-194, 2001. ,
DOI : 10.1016/S1361-8415(01)00039-1
URL : https://hal.archives-ouvertes.fr/inria-00536389
Level Set-Based Core Segmentation of Mammographic Masses Facilitating Three Stage (Core, Periphery, Spiculation) Analysis, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.819-824, 2007. ,
DOI : 10.1109/IEMBS.2007.4352416
Lung segmentation and tumor detection from CT thorax volumes of FDG PET-CT scans by template registration and incorporation of functional information, 2008 IEEE Nuclear Science Symposium Conference Record, pp.5349-5353, 2008. ,
DOI : 10.1109/NSSMIC.2008.4774441
Neural Networks for Pattern Recognition, 1995. ,
Defining a radiotherapy target with positron emission tomography, International Journal of Radiation Oncology*Biology*Physics, vol.60, issue.4, pp.1272-1282, 2004. ,
DOI : 10.1016/j.ijrobp.2004.06.254
On the ternary spatial relation "Between", IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.36, issue.2, pp.312-327, 2006. ,
DOI : 10.1109/TSMCB.2005.857095
URL : https://hal.archives-ouvertes.fr/hal-01251251
Graph Cuts and Efficient N-D Image Segmentation, International Journal of Computer Vision, vol.18, issue.9, pp.109-131, 2006. ,
DOI : 10.1007/s11263-006-7934-5
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.105-112, 2001. ,
DOI : 10.1109/ICCV.2001.937505
A priori information in image segmentation: energy functional based on shape statistical model and image information, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), pp.425-428, 2003. ,
DOI : 10.1109/ICIP.2003.1247272
Fast Global Minimization of the Active Contour/Snake Model, Journal of Mathematical Imaging and Vision, vol.7, issue.3, pp.151-167, 2007. ,
DOI : 10.1007/s10851-007-0002-0
B-spline snakes: a flexible tool for parametric contour detection, IEEE Transactions on Image Processing, vol.9, issue.9, pp.1484-1496, 2000. ,
DOI : 10.1109/83.862624
Method for segmenting chest CT image data using an anatomical model: preliminary results, IEEE Transactions on Medical Imaging, vol.16, issue.6, pp.828-839, 1997. ,
DOI : 10.1109/42.650879
Les limites du SUV, 9è Conférence Internationale de l'ACOMEN -L'instrumentation en Médecine Nucléaire, pp.165-172, 2007. ,
DOI : 10.1016/j.mednuc.2007.03.003
Computational modeling of thoracic and abdominal anatomy using spatial relationships for image segmentation. Real-Time Imaging, pp.263-273, 2004. ,
URL : https://hal.archives-ouvertes.fr/hal-01251241
Geodesic active contours, Proceedings of IEEE International Conference on Computer Vision, pp.61-79, 1997. ,
DOI : 10.1109/ICCV.1995.466871
An Algorithm for Total Variation Minimization and Applications, Journal of Mathematical Imaging and Vision, vol.20, issue.12, pp.89-97, 2004. ,
Active contours without edges, IEEE Transactions on Image Processing, vol.10, issue.2, pp.266-277, 2001. ,
DOI : 10.1109/83.902291
Active Contours without Edges for Vector-Valued Images, Journal of Visual Communication and Image Representation, vol.11, issue.2, pp.130-141, 2000. ,
DOI : 10.1006/jvci.1999.0442
Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models, SIAM Journal on Applied Mathematics, vol.66, issue.5, pp.1632-1648, 2006. ,
DOI : 10.1137/040615286
An Improved Level Set for Liver Segmentation and Perfusion Analysis in MRIs, IEEE Transactions on Information Technology in Biomedicine, vol.13, issue.1, pp.94-103, 2009. ,
DOI : 10.1109/TITB.2008.2007110
Atlas-based segmentation of 3D cerebral structures with competitive level sets and fuzzy control, Medical Image Analysis, vol.13, issue.3, pp.456-470, 2009. ,
DOI : 10.1016/j.media.2009.02.008
URL : https://hal.archives-ouvertes.fr/inserm-00443873
Improved Segmentation of Focal Cortical Dysplasia Lesions on MRI Using Expansion Towards Cortical Boundaries, 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., pp.323-326, 2006. ,
DOI : 10.1109/ISBI.2006.1624918
URL : https://hal.archives-ouvertes.fr/inria-00615584
Incorporating Statistical Measures of Anatomical Variability in Atlas-to-Subject Registration for Conformal Brain Radiotherapy, Lecture Notes in Computer Science, vol.3750, issue.2, pp.927-934, 2005. ,
DOI : 10.1007/11566489_114
URL : https://hal.archives-ouvertes.fr/inria-00502673
Zen and the art of medical image registration: correspondence, homology, and quality, NeuroImage, vol.20, issue.3, pp.1425-1437, 2003. ,
DOI : 10.1016/j.neuroimage.2003.07.014
Multi-Modality Imaging in Planning Patients with Head ans Neck Squamous Cell Carcinomas : Myths and Reality, 2005. ,
Segmentation of Pulmonary Nodules in Thoracic CT Scans: A Region Growing Approach, IEEE Transactions on Medical Imaging, vol.27, issue.4, pp.467-480, 2008. ,
DOI : 10.1109/TMI.2007.907555
Maximum likelihood from incomplete data via the EM algorithm, Proceedings of the Royal Statistical Society, B, vol.39, pp.1-38, 1977. ,
Level Set Segmentation of the Fetal Heart, Functional Imaging and Modeling of the Heart, pp.123-132, 2005. ,
DOI : 10.1007/11494621_13
Hierarchical segmentation of multiple sclerosis lesions in multi-sequence MRI, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821), pp.157-160, 2004. ,
DOI : 10.1109/ISBI.2004.1398498
URL : https://hal.archives-ouvertes.fr/inria-00615969
A level set framework with a shape and motion prior for segmentation and region tracking in echocardiography, Medical Image Analysis, vol.10, issue.2, pp.162-177, 2006. ,
DOI : 10.1016/j.media.2005.06.004
Automated estimation of the biophysical target for radiotherapy treatment planning using multimodality image analysis, International Conference on Image Processing, pp.533-536, 2007. ,
Automatic segmentation of pulmonary nodules by using dynamic 3D cross-correlation for interactive CAD systems, Medical Imaging 2002: Image Processing, pp.1362-1369, 2002. ,
DOI : 10.1117/12.467100
Impact of FDG-PET/CT on Radiotherapy Volume Delineation in Non???Small-Cell Lung Cancer and Correlation of Imaging Stage With Pathologic Findings, International Journal of Radiation Oncology*Biology*Physics, vol.70, issue.4, pp.1035-1038, 2008. ,
DOI : 10.1016/j.ijrobp.2007.07.2379
An interactive medical image segmentation system based on the optimal management of regions of interest using topological medical knowledge, Computer Methods and Programs in Biomedicine, vol.82, issue.3, pp.216-230, 2006. ,
DOI : 10.1016/j.cmpb.2006.04.004
3D Automated Lung Nodule Segmentation in HRCT, Lecture Notes in Computer Science, vol.2878, issue.1, pp.626-634, 2003. ,
DOI : 10.1007/978-3-540-39899-8_77
URL : https://hal.archives-ouvertes.fr/hal-00272985
Variational Image Segmentation for Endoscopic Human Colonic Aberrant Crypt Foci, IEEE Transactions on Medical Imaging, vol.29, issue.4, pp.998-1011, 2010. ,
DOI : 10.1109/TMI.2009.2036258
Affine-invariant geometric shape priors for region-based active contours, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.8, pp.1352-1357, 2006. ,
DOI : 10.1109/TPAMI.2006.154
Combining shape prior and statistical features for active contour segmentation. IEEE Transaction on Circuits and Systems for Video Technology, pp.726-734, 2004. ,
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, issue.6, pp.721-741, 1984. ,
DOI : 10.1109/TPAMI.1984.4767596
Shape analysis of brain ventricles using SPHARM, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001), pp.171-178, 2001. ,
DOI : 10.1109/MMBIA.2001.991731
Conformal radiotherapy for lung cancer: different delineation of the gross tumor volume (GTV) by radiologists and radiation oncologists, Radiotherapy and Oncology, vol.62, issue.1, pp.27-36, 2002. ,
DOI : 10.1016/S0167-8140(01)00444-3
Cortex segmentation: a fast variational geometric approach, IEEE Transactions on Medical Imaging, vol.21, issue.12, pp.1544-1551, 2002. ,
DOI : 10.1109/TMI.2002.806594
MAP-MRF segmentation of lung tumours in PET/CT images, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.290-293, 2010. ,
DOI : 10.1109/ISBI.2009.5193041
Manuel de calcul numérique appliqué, EDP Sciences, 1999. ,
Automatic Segmentation and Quantitative Diagnosis of Pulmonary Parenchyma in Thoracic CT, 2007 1st International Conference on Bioinformatics and Biomedical Engineering, 2007. ,
DOI : 10.1109/ICBBE.2007.174
Non-parametric geodesic active regions: Method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA, Medical Image Analysis, vol.11, issue.3, pp.224-241, 2007. ,
DOI : 10.1016/j.media.2007.01.002
Medical image registration, Physics in Medicine and Biology, vol.46, issue.3, p.1, 2001. ,
DOI : 10.1088/0031-9155/46/3/201
URL : https://hal.archives-ouvertes.fr/inria-00615977
Model-Based Segmentation of Multimodal Images, Computer Analysis of Images and Patterns, pp.604-611, 2007. ,
DOI : 10.1007/978-3-540-74272-2_75
Exact Legendre moment computation for gray level images, Pattern Recognition, vol.40, issue.12, pp.3597-3605, 2007. ,
DOI : 10.1016/j.patcog.2007.04.014
Refined translation and scale Legendre moment invariants, Pattern Recognition Letters, vol.31, issue.7, pp.31533-538, 2010. ,
DOI : 10.1016/j.patrec.2009.12.008
Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images, IEEE Transactions on Medical Imaging, vol.20, issue.6, pp.490-498, 2001. ,
DOI : 10.1109/42.929615
Vectorial multi-phase mouse brain tumor segmentation in T1-T2 MRI, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.5-8, 2008. ,
DOI : 10.1109/ISBI.2008.4540918
Algorithms for finding global minimizers of image segmentation and denoising models, 2008. ,
Computerized Detection of Lung Tumors in PET/CT Images, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp.2320-2323, 2006. ,
DOI : 10.1109/IEMBS.2006.259238
The segmentation of colorectal MRI images, Medical Image Analysis, vol.14, issue.4, pp.494-509, 2010. ,
DOI : 10.1016/j.media.2010.03.002
Semi-supervised segmentation using non-parametric snakes for 3D-CT applications in Radiation Oncology, 2008 IEEE Workshop on Machine Learning for Signal Processing, pp.109-114, 2008. ,
DOI : 10.1109/MLSP.2008.4685464
Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, pp.321-331, 1988. ,
DOI : 10.1007/BF00133570
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.5318
Analysis of Pulmonary Nodule Evolutions Using a Sequence of Three-Dimensional Thoracic CT Images, LNCS, vol.2201, pp.103-110, 2001. ,
DOI : 10.1007/3-540-45468-3_13
3D brain tumor segmentation in MRI using fuzzy classification, symetry analysis and spatially constrained deformables models. Fuzzy Sets and Systems, pp.1467-1473, 2009. ,
Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical ct images, IEEE Transactions on Medical Imaging, vol.22, issue.10, pp.1259-1274, 2003. ,
DOI : 10.1109/TMI.2003.817785
Morphological segmentation and partial volume analysis for volumetry of solid pulmonary lesions in thoracic CT scans, IEEE Transactions on Medical Imaging, vol.25, issue.4, pp.417-434, 2006. ,
DOI : 10.1109/TMI.2006.871547
3D level set esophagus segmentation in thoracic CT images using spatial, appearance and shape models, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.444-447, 2010. ,
DOI : 10.1109/ISBI.2010.5490315
Active contour based lung field segmentation. Dans Intelligent Human- Machine Systems and Cybernetics, IHMSC '09. International Conference on, pp.288-291, 2009. ,
DOI : 10.1109/ihmsc.2009.80
A Multiresolution Stochastic Level Set Method for Mumford-Shah Image Segmentation, IEEE Transaction on Image Processing, vol.17, issue.12, pp.2289-2300, 2008. ,
Region-based active contours and sparse representations for texture segmentation, 2008 19th International Conference on Pattern Recognition, pp.1-4, 2008. ,
DOI : 10.1109/ICPR.2008.4761331
URL : https://hal.archives-ouvertes.fr/hal-00317548
Region-Based Active Contour with Noise and Shape Priors, 2006 International Conference on Image Processing, 2006. ,
DOI : 10.1109/ICIP.2006.312622
URL : http://arxiv.org/abs/0805.3218
Statistical Region-Based Active Contours with Exponential Family Observations, 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, pp.28-45, 2010. ,
DOI : 10.1109/ICASSP.2006.1660292
URL : https://hal.archives-ouvertes.fr/hal-00017910
Multiple Sclerosis Lesions Segmentation using Spectral Gradient and Graph Cuts, Medical Image Analysis on Multiple Sclerosis, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00323042
Segmentation multimodale optimale par coupe de graphe multispectral : applications aux lésions de sclérose en plaques en IRM, 17ème Congrès francophone sur la Reconnaissance des Formes et l'Intelligence Artificielle, 2010. ,
Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique, IEEE Transactions on Medical Imaging, vol.20, issue.7, pp.595-604, 2001. ,
Statistical Models in Medical Image Analysis, 2000. ,
Statistical shape influence in geodesic active contours, pp.316-323, 2000. ,
United Snakes, Medical Image Analysis, vol.10, issue.2, pp.215-233, 2006. ,
DOI : 10.1016/j.media.2005.09.002
Combinative multi-scale level set framework for echocardiographic image segmentation, Medical Image Computing and Computer Assisted Intervention, pp.529-537, 2003. ,
DOI : 10.1016/S1361-8415(03)00035-5
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.7534
A survey of medical image registration, Medical Image Analysis, vol.2, issue.1, pp.1-16, 1998. ,
DOI : 10.1016/S1361-8415(01)80026-8
Les mesures de similarité pour le recalage des images médicales. mémoire d'habilitation à diriger des recherches, université de Nice Sophia-Antipolis, 2006. ,
Level set based cerebral vasculature segmentation and diameter quantification in CT angiography, Medical Image Analysis, vol.10, issue.2, pp.200-214, 2006. ,
DOI : 10.1016/j.media.2005.09.001
T- LMA, an automated tumor segmentation method of FDG PET images: Application to lung cancer, J NUCL MED MEETING ABSTRACTS, issue.2, p.5123, 2010. ,
Narrow band region-based active contours and surfaces for 2D and 3D segmentation, Computer Vision and Image Understanding, vol.113, issue.9, pp.946-965, 2009. ,
DOI : 10.1016/j.cviu.2009.05.002
URL : https://hal.archives-ouvertes.fr/hal-01084074
Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans. Selected Topics in Signal Processing, pp.122-134, 2009. ,
Non-Linear Registration of Thoracic PET and CT Images for the Characterization of Tumors : Application to Radiotherapy, 2007. ,
Using anatomical knowledge expressed as fuzzy constraints to segment the heart in CT images, Pattern Recognition, vol.41, issue.8, pp.412525-2540, 2008. ,
DOI : 10.1016/j.patcog.2008.01.020
URL : https://hal.archives-ouvertes.fr/hal-01251275
Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework. Dans Scale Space and Variational Methods in Computer Vision, pp.214-226, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-00352031
Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007. ,
DOI : 10.1109/ICCV.2007.4408959
URL : https://hal.archives-ouvertes.fr/hal-00438812
Optimal approximations by piecewise smooth functions and associated variational problems, Communications on Pure and Applied Mathematics, vol.3, issue.5, pp.577-685, 1988. ,
DOI : 10.1002/cpa.3160420503
URL : http://nrs.harvard.edu/urn-3:HUL.InstRepos:3637121
Detection and characterization of the tumor change between two FDG PET scans using parametric imaging, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.21-24, 2008. ,
DOI : 10.1109/ISBI.2008.4540922
Validation of parametric imaging for detecting early tumor changes between two FDG PET-CT scans, Society of Nuclear Medicine Annual Meeting Abstracts, p.5126, 2010. ,
Structure segmentation and recognition in images guided by structural constraint propagation, Frontiers in Artificial Intelligence and Applications, vol.178, pp.621-625, 2008. ,
Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-small cell lung cancer, The Journal of nuclear medicine, issue.8, pp.461342-1348, 2005. ,
Unsupervised multiphase segmentation: A recursive approach, Computer Vision and Image Understanding, vol.113, issue.4, pp.502-510, 2009. ,
DOI : 10.1016/j.cviu.2008.12.006
Robust anisotropic Gaussian fitting for volumetric characterization of Pulmonary nodules in multislice CT, IEEE Transactions on Medical Imaging, vol.24, issue.3, pp.409-423, 2005. ,
DOI : 10.1109/TMI.2004.843172
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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.5254
Block Matching: A??General??Framework??to??Improve Robustness of??Rigid??Registration of Medical Images, Lecture Notes in Computer Science, pp.557-566, 1935. ,
DOI : 10.1007/978-3-540-40899-4_57
URL : https://hal.archives-ouvertes.fr/inria-00615860
A level set approach for shape-driven segmentation and tracking of the left ventricle, IEEE Transactions on Medical Imaging, vol.22, issue.6, pp.773-776, 2003. ,
DOI : 10.1109/TMI.2003.814785
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach, European Conference on Computer Vision, pages II, pp.224-240, 2000. ,
DOI : 10.1007/3-540-45053-X_15
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation, International Journal of Computer Vision, vol.46, issue.3, pp.223-247, 2002. ,
DOI : 10.1023/A:1014080923068
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.2737
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
On Estimation of a Probability Density Function and Mode, The Annals of Mathematical Statistics, vol.33, issue.3, pp.1065-1076, 1962. ,
DOI : 10.1214/aoms/1177704472
On Image Analysis via Orthogonal Moments. Dans Vision Interface, pp.253-258, 1992. ,
STACS: new active contour scheme for cardiac MR image segmentation, IEEE Transactions on Medical Imaging, vol.24, issue.5, pp.593-603, 2005. ,
DOI : 10.1109/TMI.2005.843740
Automated tumor delineation using joint PET/CT information, Medical Imaging 2007: Computer-Aided Diagnosis, 2007. ,
DOI : 10.1117/12.710216
Multi-object deformable templates dedicated to the segmentation of brain deep structures, Medical Image Computing and Computer-Assisted Intervention -MICCAI 1998, 1998. ,
DOI : 10.1109/34.42836
Evaluation of a segmentation procedure to delineate organs for use in construction of a radiation therapy planning atlas, International Journal of Medical Informatics, vol.69, issue.1, pp.39-55, 2003. ,
DOI : 10.1016/S1386-5056(02)00079-5
Merging parametric active contours within homogeneous image regions for MRI-based lung segmentation, IEEE Transactions on Medical Imaging, vol.22, issue.2, pp.189-199, 2003. ,
DOI : 10.1109/TMI.2002.808354
On measuring the change in size of pulmonary nodules, IEEE Transactions on Medical Imaging, vol.25, issue.4, pp.435-450, 2006. ,
DOI : 10.1109/TMI.2006.871548
Segmentation of the skull in MRI volumes using deformable model and taking the partial volume effect into account, Medical Image Analysis, vol.4, issue.3, pp.219-233, 2000. ,
DOI : 10.1016/S1361-8415(00)00016-5
Shape prior criterion based on Tchebichef moments in variational region growing, 2009 16th IEEE International Conference on Image Processing (ICIP), pp.1081-1084, 2009. ,
DOI : 10.1109/ICIP.2009.5413477
Remarks on Some Nonparametric Estimates of a Density Function, The Annals of Mathematical Statistics, vol.27, issue.3, pp.832-837, 1956. ,
DOI : 10.1214/aoms/1177728190
Semi-automatic level-set based segmentation and stenosis quantification of the internal carotid artery in 3D CTA data sets, Medical Image Analysis, vol.11, issue.1, pp.21-34, 2007. ,
DOI : 10.1016/j.media.2006.09.004
A Stochastic-Variational Model for Soft Mumford-Shah Segmentation, International Journal of Biomedical Imaging, vol.12, issue.4 ,
DOI : 10.1155/IJBI/2006/92329
Automatic segmentation of the lungs using multiple active contours and outlier model, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3122-3125, 2006. ,
DOI : 10.1109/IEMBS.2006.260185
Automatic segmentation of the lungs using robust level sets, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4414-4417, 2007. ,
DOI : 10.1109/IEMBS.2007.4353317
Kernel density estimation technique for statistics and data analysis, Monographs on statistics and applied probability, 1986. ,
Semi-automatic level set segmentation of liver tumors combining a spiral-scanning technique with supervised fuzzy pixel classification, Medical Image Analysis, vol.14, issue.1, pp.13-20, 2010. ,
DOI : 10.1016/j.media.2009.09.002
Boundary finding with parametrically deformable models. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.14, issue.11, pp.1061-1075, 1992. ,
Reduction of observer variation using matched CT-PET for lung cancer delineation: A three-dimensional a nalysis, International Journal of Radiation Oncology*Biology*Physics, vol.64, issue.2, pp.435-448, 2006. ,
3D Multi-scale level set segmentation of vertebrae, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.896-899, 2007. ,
DOI : 10.1109/ISBI.2007.356997
Tunneling descent for m.a.p. active contours in ultrasound segmentation, Medical Image Analysis, vol.11, issue.3, pp.266-281, 2007. ,
DOI : 10.1016/j.media.2006.11.006
Image analysis via the general theory of moments*, Journal of the Optical Society of America, vol.70, issue.8, pp.920-930, 1980. ,
DOI : 10.1364/JOSA.70.000920
Variable Kernel Density Estimation. The Annals of Statistics, pp.1236-1265, 1992. ,
New Guidelines to Evaluate the Response to Treatment in Solid Tumors, JNCI: Journal of the National Cancer Institute, vol.92, issue.3, pp.92205-216, 2000. ,
DOI : 10.1093/jnci/92.3.205
PET/CT today and tomorrow, The Journal of Nuclear Medicine, vol.45, issue.1, pp.4-14, 2004. ,
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
The current status of FDG???PET in tumour volume definition in radiotherapy treatment planning, Cancer Treatment Reviews, vol.32, issue.4, pp.245-260, 2006. ,
DOI : 10.1016/j.ctrv.2006.02.002
PET-CT???Based Auto-Contouring in Non???Small-Cell Lung Cancer Correlates With Pathology and Reduces Interobserver Variability in the Delineation of the Primary Tumor and Involved Nodal Volumes, International Journal of Radiation Oncology*Biology*Physics, vol.68, issue.3, pp.771-778, 2007. ,
DOI : 10.1016/j.ijrobp.2006.12.067
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model, International Journal of Computer Vision, vol.50, issue.3, pp.271-293, 2002. ,
DOI : 10.1023/A:1020874308076
MAP MRF Joint Segmentation and Registration, Lecture Notes in Computer Science, vol.2488, issue.1, pp.580-587, 2002. ,
DOI : 10.1007/3-540-45786-0_72
Segmentation of dual modality brain PET/CT images using the MAP-MRF model, 2008 IEEE 10th Workshop on Multimedia Signal Processing, pp.107-110, 2008. ,
DOI : 10.1109/MMSP.2008.4665057
Automated lung nodule segmentation using dynamic programming and EM-based classification, Medical Imaging 2002: Image Processing, pp.666-676, 2002. ,
DOI : 10.1117/12.467209
Segmentation of volumetric MRA images by using capillary active contour, Medical Image Analysis, vol.10, issue.3, pp.317-329, 2006. ,
DOI : 10.1016/j.media.2005.12.002
3D image segmentation of deformable objects with joint shape-intensity prior models using level sets, Medical Image Analysis, vol.8, issue.3, pp.285-294, 2004. ,
DOI : 10.1016/j.media.2004.06.008
An efficient method for the computation of legendre moments, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol.27, issue.12, pp.1996-2002, 2005. ,
A variational framework for joint segmentation and registration, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001), 2001. ,
DOI : 10.1109/MMBIA.2001.991698
Automatic Segmentation of Pulmonary Structures in Chest CT Images, Lecture Notes in Computer Science, vol.3773, pp.654-662, 2005. ,
DOI : 10.1007/11578079_68
A simple method for automated lung segmentation in x-ray CT images, Medical Imaging 2003: Image Processing, pp.1455-1463, 2003. ,
DOI : 10.1117/12.480290