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TSI report for the period 2005-2009 - Département Traitement du ...

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13. Image Processing and Interpretation (TII) 13.3. References<br />

ICASSP-06, volume 2, pages II 809– II 812, Toulouse, France, May 2006.<br />

[2903] M. Marim, E. Angelini, and J.-C. Olivo-Marin. A compressed sensing approach <strong>for</strong> biological microscopic image<br />

processing. In IEEE International Symposium on Biomedical Imaging (ISBI), Boston, USA, June <strong>2009</strong>.<br />

[2904] J. Marquez, P. Delmas, I. Bloch, and F. Schmitt. Morphological Averaging of Anatomical Shapes Using Three-<br />

Dimensional Distance Trans<strong>for</strong>ms. In Image and Vision Computing New Zealand IVCNZ, pages 337–342, Great<br />

Barrier Island, New Zealand, November 2006.<br />

[2905] D. Martinez, I. Bloch, and J. T. Hernandez. Assessing <strong>the</strong> Variability of Internal Brain Structures Using PCA on<br />

Sampled Surface Points. In International Conference on Computer Vision Theory and Applications VISAPP <strong>2009</strong>,<br />

volume 2, pages 172–179, Lisbon, Portugal, February <strong>2009</strong>.<br />

[2906] N. Milisavljevic and I. Bloch. Possibilistic Multi-Sensor Fusion <strong>for</strong> Humanitarian Demining. In IGARSS, pages<br />

14–17, Barcelona, 2007.<br />

[2907] C. Millet, I. Bloch, P. Hède, and P. A. Moellic. Using Relative Spatial Relationships to Improve Indivi<strong>du</strong>al Region<br />

Recognition. In European Workshop on <strong>the</strong> Integration of Knowledge, Semantics and Digital Media Technologies,<br />

EWIMT’05, pages 119–126, London, UK, <strong>2005</strong>.<br />

[2908] C. Millet, I. Bloch, and A. Popescu. Using <strong>the</strong> Knowledge of Object Colors to Segment Images and Improve Web<br />

Image Search. In RIAO, Pittsburgh, PA, USA, 2007.<br />

[2909] C. Millet, G. Grefenstette, I. Bloch, P. A. Moellic, and P. Hède. Automatically populating an image ontology and<br />

semantic color filtering. In Ontoimage 2006, Language Resources <strong>for</strong> Content-Based Image Retrieval, pages<br />

34–39, Genoa, Italy, May 2006.<br />

[2910] A. Moreno, S. Chambon, A. Santhanam, R. Brocardo, P. Kupelian, J. Rolland, E. Angelini, and I. Bloch. Thoracic<br />

CT-PET Registration Using a 3D Breathing Model. In MICCAI 2007, volume LNCS 4791, pages 626–633,<br />

Brisbane, Australia, 2007.<br />

[2911] A. Moreno, G. Delso, O. Camara, and I. Bloch. CT and PET Registration using De<strong>for</strong>mations Incorporating<br />

Tumor-Based Constraints. In 10th Iberoamerican Congress on Pattern Recognition, CIARP, number LNCS 3773,<br />

pages 1–12, La Havana, Cuba, November <strong>2005</strong>.<br />

[2912] A. Moreno, G. Delso, O. Camara, and I. Bloch. Non-linear Registration Between 3D Images Including Rigid<br />

Objects: Application to CT and PET Lung Images With Tumors. In Workshop on Image Registration in De<strong>for</strong>mable<br />

Environments (DEFORM’06), pages 31–40, Edinburgh, UK, September 2006.<br />

[2913] A. Moreno, C. M. Takemura, O. Colliot, O. Camara, and I. Bloch. Heart Segmentation in Medical Images Using<br />

<strong>the</strong> Fuzzy Spatial Relation “Between”. In In<strong>for</strong>mation Processing and Management of Uncertainty in Knowledge-<br />

Based Systems, IPMU, pages 2052–2059, Paris, France, 2006.<br />

[2914] F. Mosca, J. M. Nicolas, L. Kopp, and M. Couade. Temporal approach of <strong>the</strong> syn<strong>the</strong>tic aperture imaging using<br />

hadamard matrix. In Acoustics 2008, Paris, July 2008.<br />

[2915] B. Mougel and C. Lelong. Classification and in<strong>for</strong>mation extraction in very high resolution satellite images <strong>for</strong> tree<br />

crops monitoring. In 28th EARSeL Symposium and Workshops, Istanbul, June 2008.<br />

[2916] B. Mougel, C. Lelong, A. Bégué, and J. M. Nicolas. Comparison of three segmentation methods <strong>for</strong> groves<br />

recognition in very high resolution satellite images. In PSIP 2007, Mulhouse, France, January 2007.<br />

[2917] Th. Napoléon, T. Adamek, F. Schmitt, and N. E. O’Connor. Shrec’08 entry: Multi-view 3D retrieval using multiscale<br />

contour representation. In IEEE International Conference on Shape Modeling and Applications - SMI’08,<br />

pages 227–228, Stony Brook University, NY, USA, June 2008.<br />

[2918] O. Nempont, J. Atif, E. Angelini, and I. Bloch. Combining Radiometric and Spatial Structural In<strong>for</strong>mation in a<br />

New Metric <strong>for</strong> Minimal Surface Segmentation. In In<strong>for</strong>mation Processing in Medical Imaging (IPMI 2007), volume<br />

LNCS 4584, pages 283–295, Kerkrade, The Ne<strong>the</strong>rlands, July 2007.<br />

[2919] O. Nempont, J. Atif, E. Angelini, and I. Bloch. Fuzzy Attribute Openings Based on a New Fuzzy Connectivity<br />

Class. Application to Structural Recognition in Images. In IPMU’08, pages 652–659, Malaga, Spain, June 2008.<br />

[2920] O. Nempont, J. Atif, E. Angelini, and I. Bloch. A New Fuzzy Connectivity Class. Application to Structural Recognition<br />

in Images. In Discrete Geometry <strong>for</strong> Computer Imagery DGCI, volume LNCS 4992, pages 446–457, Lyon,<br />

2008.<br />

[2921] O. Nempont, J. Atif, E. Angelini, and I. Bloch. Structure Segmentation and Recognition in Images Guided by<br />

Structural Constraint Propagation. In European Conference on Artificial Intelligence ECAI, pages 621–625, Patras,<br />

Greece, July 2008.<br />

[2922] O. Nempont, J. Atif, A. Herment, I. Bloch, and P. Carlier. Graph-Based Segmentation of Muscles on NMR Images:<br />

Preliminary Results. In <strong>2005</strong> Workshop on Investigation of Human Muscle Function, Nashville, TN, USA, <strong>2005</strong>.<br />

[2923] O. Nempont, P. Carlier, A. Herment, and I. Bloch. Towards Automatic Muscle and Fat Volume Quantitation on<br />

NMR Images: Preliminary Results. In International Congress of Myology, page 106, Nantes, France, May <strong>2005</strong>.<br />

[2924] J. M. Nicolas, F. Tupin, G. Vasile, and E. Trouvé. SAR processing in <strong>the</strong> temporal domain. application to direct<br />

interferogram generation and mountain glacier monitoring. In advanced ASAR <strong>2005</strong>, Longueil, CANADA,<br />

November <strong>2005</strong>.<br />

[2925] G. Palma, I. Bloch, and S. Muller. Fuzzy Connected Filters <strong>for</strong> Fuzzy Gray Scale Images. In IPMU’08, pages<br />

667–674, Malaga, Spain, June 2008.<br />

[2926] G. Palma, I. Bloch, S. Muller, and R. Iordache. Fuzzifying Images using Fuzzy Wavelet Denoising. In IEEE<br />

International Conference on Fuzzy Systems FUZZ-IEEE’09, Jeju, Korea, <strong>2009</strong>.<br />

[2927] G. Palma, S. Muller, I. Bloch, and R. Iordache. Convergence Areas Detection in Digital Breast Tomosyn<strong>the</strong>sis<br />

Volumes using a Contrario Modeling. In SPIE Symposium on Medical Imaging: Computer-Aided Diagnosis, Lake<br />

Buena Vista, FL, USA, February <strong>2009</strong>.<br />

[2928] G. Palma, S. Muller, I. Bloch, and R. Iordache. Fast Detection of Convergence Areas in Digital Breast Tomosyn<strong>the</strong>sis.<br />

In IEEE International Symposium on Biomedical Imaging (ISBI), Boston, USA, <strong>2009</strong>.<br />

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