Nikos Paragios - Research

Books/Proceedings

• N. Paragios, N. Ayache & J. Duncan. Biomedical Image Analysis:  Methodologies and Applications, Springer, 2010.

Journal Publications

1. L. Simon, O. Teboul, P. Koutsourakis & N. Paragios. Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings, International Journal of Computer Vision, (in press) (IJCV).

2. Y. Ou, A. Sotiras, N. Paragios & C. Davatzikos. DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting, Medical Image Analysis, (minor revisions) (MediIA).

3. G. Langs, N. Paragios, P. Desgranges, A. Rahmouni & H. Kobeiter. Learning Deformation and Structure Simultaneously: In Situ Endograft Deformation Analysis, Medical Image Analysis, (minor revisions) (MediIA).

4. N. Komodakis, N. Paragios & G. Tziritas. MRF Energy Minimization and Beyond via Dual Decomposition, IEEE Transactions on Pattern Analysis and Machine Intelligence (in press).

5. N. Azzabou & N. Paragios. Spatio-temporal Speckle Reduction in Ultrasound Images. Inverse Problems in Imaging (in press) (IPI).

6. D. Zikic, B. Glocker, O.  Kuttera, M. Grohera, N.  Komodakis, A.i Kamen, N. Paragios & N. Navab. Linear Intensity-based Image Registration by Markov Random Fields and Discrete Optimization., Medical Image Analysis, (in pres) (MediIA).

7. K. Karantzalos & N. Paragios. Large-Scale Building Reconstruction through Information Fusion and 3D Priors, IEEE Transactions on Geo-science and Remote Sensing, (in press).

8. M. de la Gorce & N. Paragios. A Variational Approach to Monocular Hand-pose Estimation, Computer Vision and Image Understanding (CVIU), Vol 114, pages 363–372, 2010.

9. N. Azzabou, N. Paragios & F. Guichard. Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing, IEEE Transactions on Image Processing, (in press).

10. Karantzalos K. and Paragios N. Recognition-Driven 2D Competing Priors Towards Automatic And Accurate Building Detection, IEEE Transactions on Geoscience and Remote Sensing, Volume 47, Issue 1, pages 133-144, 2009.

11. A. Mittal, A. Monnet & N. Paragios. Scene Modeling and Change Detection in Dynamic Scenes: A Subspace Approach. Computer Vision and Image Understanding Journal, Vol. 113, pages 63-79, 2009.

12. M. Taron, N. Paragios and M.-P. Jolly. Registration with Uncertainties and Statistical Modeling of Shapes with Variable Metric Kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, pages 99-113, 2009.

13. K. Varshney, N. Paragios, J-F. Deux A. Kulski, R. Raymond, P. Hernigou, & A. Rahmouni. Post-Arthroplasty Examination Using X-Ray Images. IEEE Transactions on Medical Image Analysis, vol 28, pages 469-474, 2009.

14. L. Gui, J.-P. Thiran & N. Paragios. Cooperative Object Segmentation and Behavior Inference in Image Sequences. International Journal of Computer Vision, (in press).

15. M. Rousson & N. Paragios. Prior Knowledge, Level Set Representations and Visual Grouping. International Journal of Computer Vision Vol. 76, No. 3, pp. 231-243, 2008.

16. B. Glocker, N. Komodakis, G. Tziritas, N. Navab & N. Paragios. Dense Image Registration through MRFs and Efficient Linear Programming. Medical Image Analysis, Vol. 12, pages 731-741, 2008.

17. N. Komodakis, G. Tziritas & N. Paragios. Performance vs Computational Efficiency for Optimizing Single and Dynamic MRFs: Setting the State of the Art with Primal Dual Strategies. Computer Vision and Image Understanding Journal, Vol 112, pages 14-29, 2009.

18. J.-F. Deux, P. Malzy, N. Paragios, G. Bassez, A. Luciani, P. Zerbiba, F. Roudot-Thoraval, A. Vignaud & A. Rahmouni. Assessment of calf muscles contraction by Diffusion Tensor Imaging. European Radiology, Vol 18, pages 2303-2010, 2008.

19. X. Huang, N. Paragios & D. Metaxas. Shape Registration in Implicit Spaces using Information Theory and Free Form Deformations, IEEE Transactions on Pattern Analysis and Machine Intelligence,  (Vol. 28, No. 8), pp. 1303-1318, 2006.

20. N. Paragios & R. Deriche. Geodesic Active Regions and Level Set Methods for Motion Estimation and Tracking. Computer Vision and Image Understanding, 97(3), pp. 259-282, 2005.

21. N. Paragios, O. Mellina-Gottardo & V. Ramesh. Gradient Vector Flow Fast Geometric Active Contours. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 402-407, 2004.

22. N. Paragios. Shape-based Segmentation and Tracking in Cardiac Image Analysis. IEEE Transactions on Medical Image Analysis, pp. 402-407, 2003.

23. N. Paragios, M. Rousson & V. Ramesh. Distance Functions for Non-Rigid Registration. Computer Vision and Image Understanding, pp. 142-165,  2003.

24. N. Paragios. A Variational Approach for the Segmentation of the Left Ventricle. International Journal of Computer Vision, pp. 345-362, 2002.

25. N. Paragios & R. Deriche. Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation. International Journal of Computer Vision, pp. 223-247, 2002.

26. N. Paragios & R. Deriche. Geodesic Active Regions: A New Paradigm to Deal with Frame Partition Problems in Computer Vision.  Journal of Visual Communication and Image Representation, pp. 249-268, 2002.

27. N. Paragios & R. Deriche. Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 266-280, 2000.

28. N. Paragios & G. Tziritas. Adaptive Detection and Localization of Moving Objects in Image Sequences. Signal Processing: Image Communication, pp 277-296, 1999.

Book Chapters/Invited Publications

• N. Paragios, M. Taron, X. Huang, M. Rousson & D. Metaxas. On the Represantation of Shapes Using Implicit Functions. in Statistics and Analysis of Shapes  (Krim & Yezzi),  Springer Verlag, 2005.

• N. Paragios. Variational Methods and Partial Differential Equations in Cardiac Image Analysis. Invited Publication : IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004.

• N. Paragios. Level Set Methods & Visual Grouping. in Mathematical Models of Computer Vision: The Handbook (Paragios, Chen & Faugeras),  Springer Verlag, 2005.

• N. Paragios & M. Rousson. Shape Analysis towards Model-based Segmentation. in Geometric Level Set Methods in Imaging Vision and Graphics (Osher & Paragios),  Springer Verlag, ISBN 0387954880, 2003.

• N. Paragios & R. Deriche. Variational Principles in Optical Flow Estimation and Tracking. in Geometric Level Set Methods in Imaging Vision and Graphics (Osher & Paragios),  Springer Verlag, ISBN 0387954880, 2003.

• N. Paragios, D. Comaniciu, M. Grefennhagen & V. Ramesh. Rea-time Analysis at Siemens Corporate Research. in Video-based Surveillance Systems: Computer Vision and Distributed Processing (Remaggino, Jones, Paragios & Reggazoni),  Kluwer Academic Press, ISBN 0792376323, 2001.

Top Rank Conference Publications (ICCV,CVPR, ECCV, ,IPMI, MICCAI, NIPS)

• N. Honnorat, R. Vaillant & N. Paragios. Guide-wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images,  International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI'10).

• S. Kadoury & N. Paragios. Nonlinear Embedding towards Articulated Spine Shape Inference using Higher-Order MRFs,  International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI'10).

• M. Savinaud, M. de la Gorce, S. Maitrejean & N. Paragios. Model-based Multi-view Fusion of Cinematic Flow and Optical Imaging,  International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI'10).

• A. Sotiras, Y. Ou, B. Glocker, C. Davatzikos & N. Paragios. Simultaneous Geometric - Iconic Registration,  International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI'10).

• C. Wang, O. Teboul, F. Michel, S. Essafi & N. Paragios. 3D Knowledge-based Segmentation using Pose-Invariant Higher-Order Graphs,  International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI'10).

• M. Bronstein, A. Bronstein, F. Michel & N. Paragios. Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'10).

• O. Teboul, L. Simon, P. Koutsourakis & N. Paragios. Segmentation of Building Facades Using Procedural Shape Priors. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'10).

• Y. Zeng, C. Wang , Y. Wang X. Gu , D. Samaras & N. Paragios. Dense Non-rigid Surface Registration Using High-Order Graph Matching. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'10).

• J. Honorio, D. Samaras & N. Paragios. Sparse and Locally Constant Gaussian Graphical Models, Neural Information Processing Systems (NIPS'09).

• S. Essafi, G. Langs & N. Paragios. Hierarchical 3D Diffusion Wavelets Shape Priors. IEEE International Conference in Computer Vision (ICCV'09).

• P. Koutsourakis, O. Teboul, L. Simon, G. Tziritas & N. Paragios. Single View Reconstruction Using Shape Grammars for Urban Environments. IEEE International Conference in Computer Vision (ICCV'09).

• C. Wang, M. de la Gorge & N. Paragios. Segmentation, Ordering and Tracking using Graphical Models. IEEE International Conference in Computer Vision (ICCV'09).

• S. Essafi, G. Langs & N. Paragios. Left Ventricle Segmentation Using Diffusion Wavelets Prior & Boosting. International Conference on Medical image computing and computer assisted intervention (MICCAI'09).

• S. Kadoury & N. Paragios. Surface/Volume-based Articulated 3D Spine Inference through Markov Random Fields. International Conference on Medical image computing and computer assisted intervention (MICCAI'09).

• A. Sotiras, N. Komodakis, B. Glocker & N. Paragios. Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. International Conference on Medical image computing and computer assisted intervention (MICCAI'09).

• B. Glocker, N. Komodakis, G. Tzirtias, N. Navab and N. Paragios. Manifold-Enhanced Image Registration, Information Processing in Medical Imaging (IPMI'09).

• R. Neji, A. Besbes, N. Komodakis, J-F. Deux, M. Maatou, A. Rahmouni, G. Bassez, G. Fleury & N. Paragios. A novel method for clustering of skeletal muscle fibers from DTI based on an angular Hilbertian metrics using linear programming, Information Processing in Medical Imaging (IPMI'09).

• A. Panagopoulos, D. Samaras & N. Paragios. Robust Shadow and Illumination Estimation Using a Mixture Model.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09).

• A. Besbes, N. Komodakis, N. Paragios and G. Langs. Shape Priors and Discrete MRFs for Knowledge-based Segmentation. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'09).

• H. Heibel, B. Glocker, M. Groher, N. Paragios, N. Komodakis, N. Navab. Discrete Tracking of Parametrized Curves IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09).

• N. Komodakis & N. Paragios. Beyond Pairwise Energies: Efficient Optimization for Higher-order MRFs. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09).

• R. Neji, N. Paragios, G. Fleury, J-P. Thiran & G. Langs. Classification of Tensors and Fiber Tracts Using Mercer-Kernels Encoding Soft Probabilistic Spatial and Diffusion Information.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09).

• A. Panagopoulos, D. Samaras & N. Paragios. Robust Shadow and Illumination Estimation Using a Mixture Model.  IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'09).

• N. Azzabou & N. Paragios. Spatio-Temporal Speckle Reduction In Ultrasound Sequences. International Conference on Medical image computing and computer assisted intervention (MICCAI'08).

• X. Hubert, D. Chambellan, S. Legoupil, J.R Deverre & N. Paragios. Spatio-temporal decomposition in object-space along reconstruction in emission tomography. International Conference on Medical image computing and computer assisted intervention (MICCAI'08).

• G. Langs, D. Samaras & N. Paragios. Task-Specific Functional Brain Geometry from Model Maps. International Conference on Medical image computing and computer assisted intervention (MICCAI'08).

• C. Wachinger, B. Glocker, J. Zeltner, N. Paragios, N. Komodakis, M.S. Hansen, N. Navab. Deformable Mosaicing for Whole-body MRI. International Conference on Medical image computing and computer assisted intervention (MICCAI'08).

• R. Behmo, N. Paragios & V. Prinnet. Graph commute times for image representation. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'08), in press.

• M. de la Gorce, N. Paragios & D. Fleet. Model-Based Hand tracking with Texture, Shading and Self-occlusions. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'08), in press.

• S. Essafi, G. Langs & N. Paragios. Sparsity, Redundancy & Optimal Image Support towards Knowledge-based Segmentation. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'08), in press.

• B. Glocker, N. Paragios, N. Komodakis, G.Tziritas & N. Navab. Optical Flow Estimation with Uncertainties through Dynamic MRFs. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'08), in press.

• K. Karantzalos & N. Paragios. Model-Based Building Detection From Single Panchromatic High Resolution Images. XXI Congress of the International Society for Photogrammetry & Remote Sensing, 2008 (in press).

• N. Komodakis & N. Paragios. Beyond Loose LP-relaxations: Optimizing MRFs by Repairing Cycles. European Conference in Computer Vision , 2008 (in press).

• N. Komodakis, N. Paragios and G. Tziritas. Clustering via LP-based Stabilities, Neural Information Processing Systems, 2008 (in press).

• G. Langs & N. Paragios. Modeling the structure of multivariate manifolds: Shape Maps. IEEE Conference in Computer Vision and Pattern Recognition (CVPR'08), in press.

• N. Komodakis, N. Paragios & G. Tziritas. MRF Optimization via Dual Decomposition: Message-Passing Revisited, IEEE International Conference in Computer Vision  (ICCV), 2007.

• N. Azzabou, N. Paragios, F. Cao & F. Guichard. Variable Bandwidth Image Denoising with Explicit Use of Image-based Parameter-free Noise Models. IEEE Conference in Computer Vision and Pattern Recognition, (CVPR'07).

• L. Gui, J-P. Thiran & N. Paragios. Simultaneous Segmentation and Object Behavior Classification of Image Sequences. IEEE Conference in Computer Vision and Pattern Recognition, (CVPR'07).

• N. Komodakis, G. Tziritas & N. Paragios. Fast, Approximately Optimal Solutions for Single and Dynamic MRFs. IEEE Conference in Computer Vision and Pattern Recognition, (CVPR'07).

• B. Glocker, N. Komodakis, N. Paragios, D. Glasser, G. Tziritas & N. Navab. Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'07).

• C. Florin, N. Paragios, G. Funka-Lea & J. Williams. Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support. Information Processing in Medical Imaging (IPMI'07).

• B. Glocker, N. Komodakis,  N. Paragios, G. Tziritas & N. Navab. Inter and Intra-Modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming. Information Processing in Medical Imaging (IPMI'07).

• N. Azzabou, N. Paragios & F. Guichard. Random Walks, Constrained Multiple Hypotheses Testing and Image Enhancement. European Conference in Computer Vision (ECCV), 2006.
• C. Florin, N. Paragios & J. Williams. Globally Optimal Active Contours, Sequential Monte Carlo and On-line Learning for Vessel Segmentation. European Conference in Computer Vision (ECCV), 2006.
• M. Taron, N. Paragios & M.-P. Jolly. Modelling Shapes with Uncertainties : Higher Order Polynomials, Variable Bandwidth Kernels and Non-Parametric Density Estimation. IEEE International Conference in Computer Vision  (ICCV), 2005.
• S. Lim, A. Mittal, L. Davis & N. Paragios. Fast Illumination-invariant Background Subtraction using Two Views: Error Analysis, Sensor Placement and Applications. In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2005.

• C. Florin, N. Paragios & J. Williams. Particle Filters, a Quasi-Monte Carlo solution for segmentation of coronaries, In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2005.

• A. Mittal & N. Paragios. Motion-based Background Subtraction Using Adaptive Kernel Density Estimation. In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), 2004.

• M. Taron, N. Paragios & M.-P. Jolly. Border Detection on Short Axis Echocardiographic Views Using an Ellipse Driven Region-based Framework. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2004.

• M. Rousson, N. Paragios & R. Deriche. Implicit Active Shape Models for 3D Segmentation in MRI Imaging In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2004.

• A. Monnet, A. Mittal, N. Paragios & V. Ramesh. Background Modeling and Subtraction of Dynamic Scenes. In IEEE International Conference in Computer Vision  (ICCV), pp. 1305-1312, 2003.

• N. Paragios. User and Computer-Aided Boundary Delineation through the Propagation of Implicit Surfaces. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2003.

• X. Huang, N. Paragios & D. Metaxas. Establishing Local Correspondences towards Compact Representations of Anatomical Structures. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2003.

• M. Rousson & N. Paragios. Shape Priors for Level Set Representations. In European Conference in Computer Vision  (ECCV), pp. II: 78-93, 2002.

• N. Paragios, M. Rousson & V. Ramesh. Matching Distance Functions: A Shape to Area Variational Approach for Global to Local Registration. In European Conference in Computer Vision  (ECCV), pp. II: 775-790, 2002.

• N. Paragios & V. Ramesh. A MRF-based Real-Time Approach for Subway Monitoring. In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), pp. I:1034-1040, 2001.

• N. Paragios, O. Mellina-Gottardo & V. Ramesh. Gradient Vector Flow Fast Geodesic Active Contours. In IEEE International Conference in Computer Vision  (ICCV), pp. I:67-73, 2001.

• B. Stenger, V. Ramesh, N. Paragios, F. Coetzee & J. Bouhman. Topology-free Hidden Markov Models: Application to Background Modeling. In IEEE International Conference in Computer Vision  (ICCV), pp. I:294-301, 2001.

• N. Paragios & R. Deriche. Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach. In European Conference in Computer Vision  (ECCV), pp. II: 224-240, 2000.

• N. Paragios & R. Deriche. Geodesic Active Regions for Supervised Texture Segmentation. In IEEE International Conference in Computer Vision  (ICCV), pp. II: 224-240, 1999.

• N. Paragios & R. Deriche. Geodesic Active Regions for Motion Estimation and Tracking. In IEEE International Conference in Computer Vision  (ICCV), pp. II: 224-240, 1999.

• N. Paragios & R. Deriche. Unifying Boundary and Region-based Information for Geodesic Active Tracking. In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), pp. I:1034-1040,1999.

• N. Paragios & R. Deriche. Geodesic Active Contours for Supervised Texture Segmentation. In IEEE Conference in Computer Vision and Pattern Recognition (CVPR), pp. I:1034-1040, 1999.

• N. Paragios & R. Deriche. A PDE-based Level Set Approach for Detection and Tracking of Moving Objects. In IEEE International Conference in Computer Vision  (ICCV), pp. II: 224-240, 1998.

Ordinary Rank Conference Publications

• K. Karantzalos and N. Paragios. Variational Model-Based 3D Building Extraction From Remote Sensing Data, IEEE International Conference in Image Processing (ICIP'09).

• N. Komodakis, A. Besbes, B. Glocker & N. Paragios. Biomedical Image Analysis Using Markov Random Fields & Efficient Linear Programming. International Conference of the IEEE Engineering in Medicine and Biology Society ( EMBC'09) [invited publication].

• L. Gui, J-P. Thiran & N. Paragios.Finger-spelling Recognition within a Collaborative Segmentation/Behavior Inference Framework. European Signal Processing Conference (EUSIPCO-08), in press.

• N. Azzabou, N. Paragios & F. Guichard. Uniform and textured Regions Separation in Natural images towards Adaptive Denoising. International Conference on Scale Space Theories and Variational Methods (SSVM'07), in press.

• L. Gui, J-P. Thiran & N. Paragios. A Variational Framework for the Simultaneous Segmentation and Classification of Object Behavior in Image Sequences. International Conference on Scale Space Theories and Variational Methods (SSVM'07), in press.

• N. Azzabou, N. Paragios & F. Guichard. Image denoising based on adapted dictionary computation, IEEE International Conference on Image Processing (ICIP'07), in press.

• C. Florin, N. Paragios, G. Funka-Lea & J. Williams. Time-Varying Linear Autoregressive Models for Segmentation, IEEE International Conference on Image Processing (ICIP'07), in press.

• M. de la Gorce & N. Paragios. Monocular Hand Pose Estimation Using Variable Metric Gradient-Descent. 17th British Machine Vision Conference, (BMVC) 2006.

• C. Allene & N. Paragios. Image Renaissance Using Discrete Optimization. 18th IARP International Conference on Pattern Recognition, (ICPR) 2006.

• P. Etyngier, N. Paragios & Y. Genc. Radon space and Adaboost for Pose Estimation. 18th IARP International Conference on Pattern Recognition, (ICPR) 2006.

• M. Taron, C. Ghys & N. Paragios. Uncertainties-driven Surface Morphing: The case of Photo-realistic Transitions between Facial Expressions. 18th IARP International Conference on Pattern Recognition, (ICPR) 2006.

• M. de la Gorce & N. Paragios. Fast Dichotomic Multiple Search Algorithm for Shortest Cirular Path. 18th IARP International Conference on Pattern Recognition, (ICPR) 2006.
• K. Karantzalos & N. Paragios. Higher Order Polynomials, Free Form Deformations and Optical Flow Estimation. IEEE International Conference on Image Processing, (2005).

• N. Paragios, M.-P. Jolly, M. Taron & R. Ramaraj. Active Shape Models & Segmentation of the Left Ventricle in Echocardiography. International Conference on Scale Space Theories and PDEs methods in Computer Vision, (2005).

• S. Lim, A. Mital, L. Davis & N. Paragios. Uncalibrated Stereo Rectification for Automatic 3D Surveillance. IEEE International Conference in Image Processing (ICIP), 2004.

• N. Paragios & R. Deriche. Detecting Multiple Moving Targets Using Deformable Contours. IEEE International Conference in Image Processing (ICIP), pp. I: 183-186, 1997.
• N. Paragios & G. Tziritas. Detection and Location of Moving Objects Using Deterministic Relaxation Algorithms. In IARP International Conference in Pattern Recognition  (ICPR), pp. II: 224-240, 1996.
• N. Paragios, P. Perz, G. Tziritas, P. Bouthemy & C. Labit. Adaptive Detection of Moving Objects Using Multi-Scale Techniques. IEEE International Conference in Image Processing (ICIP), pp. I: 525-528, 1996.

Symposiums/Workshops

• T. Hauke Heibel, B. Glocker, N. Navab & N. Paragios. Needle Tracking Through Higher Order MRF Optimization. IEEE International Symposium on Biomedical Imaging (ISBI'10).

• N. Honnorat, R. Vaillant & N. Paragios, Robust Guidewire Segmentation Through Boosting, Clustering and Linear Programming. IEEE International Symposium on Biomedical Imaging (ISBI'10).

• S. Kadoury & N. Paragios. Multimodal Inference of Articulated Spine Models from Higher Order Energy Functions of Discrete  MRFs. IEEE International Symposium on Biomedical Imaging (ISBI'10).

• F. Michel & N. Paragios.  Image Transport Regression Using Mixture of Experts and Discrete Markov Random Fields. IEEE International Symposium on Biomedical Imaging (ISBI'10).

• Y. Ou, A. Besbes, M. Bilello, M. Mansour, C. Davatzikos & N. Paragios. Detecting Mutually-Salient Landmark Paris with MRF Regularization. IEEE International Symposium on Biomedical Imaging (ISBI'10).

• M. Savinaud, A. Sotiras, S. Maitrejean, N. Paragios.  Bioluminescence Enhancement Through Fusion of Optical Imaging and Cinematic Video Flow. IEEE International Symposium on Biomedical Imaging (ISBI'10).

• A. Sotiras, R. Neji, J-F. Deux, N. Komodakis, G. Fleury & N. Paragios. A Kernel-based Graphical Model for Diffusion Tensor Registration. IEEE International Symposium on Biomedical Imaging (ISBI'10).

• A. Besbes, N. Komodakis & N. Paragios. Graph-based Knowledge-driven Discrete Segmentation of the Left Ventricle. IEEE International Symposium on Biomedical Imaging (ISBI'09).

• S. Essafi, G. Langs, J-F. Deux, A. Rahmouni, G. Bassez & N. Paragios. Wavelet-driven Knowledge-based MRI Calf Segmentation. IEEE International Symposium on Biomedical Imaging (ISBI'09). 

• B. Glocker, D. Zikic, N. Komodakis, N. Paragios & N. Navab. Linear Image Registration through MRF Optimization.  IEEE International Symposium on Biomedical Imaging (ISBI'09).

• R. Neji, G. Langs, J-F. Deux, M. Maatouk, A. Rahmouni, G. Bassez, G.  Fleury & N. Paragios. Unsupervised Classification of Skeletal Fibers Using Diffusion Maps. IEEE International Symposium on Biomedical Imaging (ISBI'09).

• M. Savinaud, N. Paragios & S. Maitrejean. Motion-based Enhancement of Optical Imaging. IEEE International Symposium on Biomedical Imaging (ISBI'09).

• A. Sotiras, N. Komodakis, G. Langs & N. Paragios. Motion-based Enhancement of Optical Imaging. IEEE International Symposium on Biomedical Imaging (ISBI'09).

• M. Savinaud, E. Roncali, S. Maitrejean, N. Paragios. From Black Box to Real Time Images: Motion Issues in Optical Imaging, in: World Molecular Imaging Congress (WMIC'08).

• R. Behmo, N. Paragios & V. Prinet. An Application of Graph Commute Times to Image Indexing. 2008 IEEE International Geoscience & Remote Sensing Symposium, 2008.

• Y. Han, G. Langs & N. Paragios. Group-wise MDL based registration of small animals in video sequences. International Symposium on Biomedical Imaging, 2008.

• X. Hubert, D. Chambellan, S. Legoupil, J.-R. Deverre & N. Paragios. Conjoint use of Coded-aperture Collimators and MLEM Algorithm Towards Large Scale Vessels Reconstruction at 511 KEV. International Symposium on Biomedical Imaging, 2008.

• R. Neji, G. Fleury, J.-F. Deux, G. Bassez, A. Vignaud, A. Rahmouni & N. Paragios. Support Vector Driven Markov Random Fields Towards DTI-Segmentation of the Human Skeletal Muscle. International Symposium on Biomedical Imaging, 2008.

• D. Pescia, N. Paragios & S. Chemouny. Automatic Detection of Liver Tumors. International Symposium on Biomedical Imaging, 2008.

• M. Sardarescu, N. Paragios, N. Komodakis, R. Raymond, P. Hernigou, A. Rahmouni. Knee Reconstruction through Efficient Linear Programming. International Symposium on Biomedical Imaging, 2008, (in press).

• C. Florin, N. Paragios, G. Funka-Lea & J. Williams. Locally Adaptive Autoregressive Active Models for Segmentation of 3D Anatomical Structures. IEEE International Symposium on Biomedical Image Analysis (ISBI), 2007 (in press).

• K. Varshney, N. Paragios, A. Kulski, R. Raymond, P. Hernigou & A. Rahmouni. Multi-view Stereo Reconstruction of Total Knee Replacement from X-Rays. IEEE International Symposium on Biomedical Image Analysis (ISBI), 2007 (in press).

• K. Karantzalos, D. Argialas, & N. Paragios. Comparing Morphological Levelings constrained by different markers. 8th International Symposium on Mathematical Morphology (ISMM), 2007.

• C. Ghys, M. Taron, N. Paragios, B. Bascle & N. Komodakis. Expression Mimicking : from 2D Monocular Sequences. 3rd International Symposium in Visual Computing, 2007.

• A. Besbes, N. Komodakis, B. Glocker, G. Tziritas & N. Paragios. 4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization. 3rd International Symposium in Visual Computing (ISVC'07).

• R. Neji, N. Azzabou, N. Paragios & G. Fleury A Convex Semi-Definite Positive Framework for DTI Estimation and Regularization. 3rd International Symposium in Visual Computing (ISVC'07).

• G. Langs, N. Paragios, A. Rahmouni & H. Kombeiter. Motion Analysis of Endovascular Stends-Grafts by MDL-based registration. IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, (MMBIA'07).

• M. Taron, N. Paragios & M-P. Jolly. From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle. IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, (MMBIA'07).

• A. Oikonomopoulos, I. Patras, M. Pantic & N. Paragios. Trajectory-based Representation of Human Action. International Workshop on AI for Human Computing, (IJCAI-HC), 2007.

• C. Ghys, N. Paragios & B. Bascle. Graph-based Multi-Resolution Temporal-based Face Reconstruction. 2nd International Symposium in Visual Cumputing.

• C. Ghys, N. Paragios & B. Bascle. Understanding 3D Emotions through Compact Anthropometric Autoregressive Models. 2nd International Symposium in Visual Computing.

• C. Florin, J. Williams, A. Khamene & N. Paragios, Registration of 3D angiographic and X-ray images using Sequential Monte Carlo sampling, IEEE (ICCV) Workshop on Computer Vision for Biomedical Image Applications, 2005.
• K. Karantzalos and N. Paragios, Implicit Free-Form-Deformations for multi-frame Segmentation and Tracking, IEEE (ICCV) Workshop on Variational, Geometric & Level Set Methods (VLSM), 2005.
• M. Taron, N. Paragios and M-P. Jolly. Uncertainty-driven Non-parametric Knowledge-based Segmentation: The Corpus Callosum Case. IEEE (ICCV) Workshop on Variational, Geometric & Level Set Methods (VLSM), 2005.
• R. Dupont, N. Paragios, R. Keriven and P. Fuchs. Extraction of layers of similar motion through combinatorial techniques. IARP International Symposium On Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)  2005.
• R. Zhang, N. Paragios & D. Metaxas. Implicit Representations towards Recovery & Reconstruction of Motion Layers. IEEE Workshop on Variational, Geometric & Level Set Methods in Computer Vision  (VLSM), 2003.
• N. Paragios, M. Rousson & V. Ramesh. Knowledge-based Registration and Segmentation of the Left Ventricle: A Level Set Approach. IEEE Workshop on Applications in Computer Vision  (WACV),  2002.
• N. Paragios. A Variational Approach for the Segmentation of the Left Ventricle. IEEE Workshop on Variational, Geometric & Level Set Methods in Computer Vision  (VLSM), pp. 2001.
• N. Paragios & R. Deriche. Detection of Moving Objects: A Level Set Approach. International Symposium on Intelligent Robotic Systems  (SIRS), pp. 265-274, 1997.