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

13.3. References 13. Image Processing and Interpretation (TII)
[3038] I. Bloch. Knowledge-driven recognition and segmentation of internal brain structures in 3D MRI. In Computional
Surgery and Dual Training. Springer, 2009.
[3039] I. Bloch, H. Heijmans, and C. Ronse. Mathematical Morphology. In M. Aiello, I. Pratt-Hartman, and J. van
Benthem, editors, Handbook of Spatial Logics, chapter 13, pages 857–947. Springer, 2006.
[3040] C. Cavaro-Ménard, A. Nait-Ali, J.-Y. Tanguy, E. Angelini, C. Lebozec, and J.-J. Le Jeune. Spécificités des signaux
physiologiques et des images médicales. In Compression des Images et des Signaux Médicaux, chapter 3, pages
65–98. Hermes Science, Lavoisier, 2007.
[3041] C. Cavaro-Ménard, A. Nait-Ali, J.-Y. Tanguy, E. Angelini, C. Lebozec, and J.-J. Le Jeune. Specificities of Physiological
Signals and Medical Images. In Compression of Biomedical Images and Signals, pages 43–74. Wiley,
2008.
[3042] J. Delon and A. Almansa. Reconstruction stéréo en imagerie satellitaire ou aérienne. In Problèmes inverses en
imagerie et en vision, chapter 12. Hermès, 2008.
[3043] Q. Duan, E. Angelini, O. Gerard, K. D. Costa, J. W. Holmes, S. Homma, and A. Laine. Cardiac motion analysis
based on optical-flow of real-time 3-d ultrasound data. In Advances in Diagnostic and Therapeutic Ultrasound
Imaging, chapter 9, pages 227–246. J. S. Suri, C. Kathuria, R.-F. Chang, F. Molinari, A. Fenster (Artech House),
2008.
[3044] Q. Duan, E. Angelini, S. Homma, and A. Laine. Tracking endocardium using optical flow along isovalue curve.
In Principles and Advanced Methods in Medical Imaging and Image Analysis, chapter 14, pages 337–360. World
Scientific Publishing, Singapore, 2008.
[3045] S. Essid, M. Campedel, G. Richard, T. Piatrik, R. Benmokhtar, and B. Huet. Machine learning techniques for
multimedia analysis. In The Multimedia Semantics Handbook, chapter 5. Wiley, 2009.
[3046] M. Gschwind, H. Brettel, and I. Rentschler. Prior knowledge and learning in 3D object recognition. In N. Osaka,
I. Rentschler, and I. Biederman, editors, Object Recognition, Attention, and Action, chapter 7, pages 105–117.
Springer, Tokyo, 2007.
[3047] C. Imieliska, J. Udupa, D. Metaxas, Y. Jin, E. Angelini, T. Chen, and Y. Zhuge. Hybrid segmentation methods.
In T. Yoo, editor, Principles and Practice for Segmentation, Registration, and Image Analysis, chapter 12, pages
351–388. A.K. Peters, Wellesey, MA, USA, 2005.
[3048] H. Maître. (Ed). Image Processing. ISTE Wiley, London, UK, 2008.
[3049] N. Milisavljevic and I. Bloch. Improving Mine Recognition through Processing and Dempster-Shafer Fusion of
Multisensor Data. In M. Sarfraz, editor, Computer-Aided Intelligent Recognition, Techniques and Applications,
chapter 17, pages 319–343. J. Wiley, 2005.
[3050] N. Milisavljevic, I. Bloch, and M. Acheroy. Multi-Sensor Data Fusion Based on Belief Functions and Possibility
Theory: Close Range Antipersonnel Mine Detection and Remote Sensing Mined Area Reduction. In Humanitarian
Demining: Innovative Solutions and the Challenge of Technology, M. K. Habib Ed., chapter 4, pages 392–418.
ARS I-Tech Education and Publishing, Vienna, Austria, 2008.
[3051] N. Milisavljevic, I. Bloch, V. Alberga, and G. Satalino. Three strategies for fusion of land cover classification results
of polarimetric SAR data. In Sensor and Data Fusion (N. Milisavljevic Ed.), chapter 16, pages 277–298. InTech,
Croatia, 2009.
[3052] A. Moreno, C. M. Takemura, O. Colliot, O. Camara, and I. Bloch. Using the Fuzzy Spatial Relation ’Between’ to
segment the Heart in Computerized Tomography Images. In B. Bouchon-Meunier, R.R. Yager, C. Marsala, and
M. Rifqi, editors, Uncertainty and Intelligent Information Systems, chapter 26, pages 359–374. World Scientific,
2008.
[3053] P. Muse, F. Sur, F. Cao, Y. Gousseau, and J.-M. Morel. Shape recognition based on an a contrario methodology.
In H. Krim and A. Yezzi, editors, Statistic and Analysis of Shapes, pages 107–136. Birkhauser, 2006.
[3054] G. Peters, S. Muller, S. Bernard, and I. Bloch. Wavelets and Fuzzy Contours in 3D-CAD for Digital Breast
Tomosynthesis. In M. Nachtegael, D. van der Weken, E. Kerre, and W. Philips, editors, Soft Computing in Image
Processing: Recent Advances, pages 296–326. Springer, 2006.
[3055] T. Tanzi and F. Delmer. Ingénierie du risque. Hermes, Coll. Sciences et technologies, Paris, 2006.
[3056] T. Tanzi and P. Perrot. Télécoms et ingénierie des risques. Collection Technique et Scientifique des Télécoms,
Paris - France, 2009.
13.3.8 AP-P: Patents
[3057] E. Angelini, E. Mandonnet, and J. Delon. Procédé de quantification de l’évolution des changements de volumes
de corps, notamment de tumeurs (submitted). (patent application 09 53578), May 2009.
[3058] N. Bonnier and F. Schmitt. Method, apparatus and computer program for transforming digital colour images.
(patent application Europa: 07117464.3.), September 2007.
13.3.9 AP-R: Selected Technical Reports and Preprints
[3059] M. Campedel. Performance evaluators for relevance feedback and classifiers. Technical report, École Nationale
Supérieure des Télécommunications, July 2007.
[3060] F. Cao, Y. Gousseau, S. Masnou, and P. Pérez. Geometrically guided exemplar-based inpainting. Technical
Report 2009D012, Telecom ParisTech, May 2009.
[3061] V. Duval, J. F. Aujol, and Y. Gousseau. The tvl1 model : a geometric point of view. Technical Report 2009D011,
Telecom ParisTech, May 2009.
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