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2009
Palma, R., Provenzi E., Bertalmío M., & Caselles V. (2009).  A Perceptually Inspired Variational Framework for Color Enhancement. IEEE transactions on Pattern Analysis and Machine Intelligence. 31(1), 458-474.
Alter, F., & Caselles V. (2009).  Uniqueness of the Cheeger set of a convex body. Nonlinear Analysis: Theory, Methods & Applications. 70, 32–44.
2008
Caselles, V., Chambolle A., Moll S., & Novaga M. (2008).  A characterization of convex calibrable sets in with respect to anisotropic norms. Annales de l'Institut Henri Poincare (C) Non Linear Analysis. 25, 803–832.
Andreu, F., Caselles V., & Mazón J. M. (2008).  Diffusion Equations with Finite Speed of Propagation. Functional Analysis and Evolution Equations. 17–34.
Bernot, M., Caselles V., & Morel J. M. (2008).  The structure of branched transportation networks. Calculus of Variations and Partial Differential Equations. 32, 279–317.
2007
2006
Ballester, C., Caselles V., Igual L., Rougé B., & Verdera J. (2006).  A Variational Model for P+XS Image Fusion . International Journal of Computer Vision. 69(1), 43-58.
Haro, G., Bertalmío M., & Caselles V. (2006).  Visual acuity in day for night. International journal of computer vision. 69, 109–117.
2004
Caselles, V., Sapiro G., Solé A., & Ballester C. (2004).  Morse description and morphological encoding of continuous data. SIAM Journal Multiscale Modeling & Simulation. 2(2), 179-209.
2003
Ballester, C., Caselles V., & Verdera J. (2003).  A variational model for disocclusion. Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on. 3, III–677.
Ballester, C., Caselles V., & Monasse P. (2003).  The tree of shapes of an image. ESAIM CONTROLE OPTIMISATION ET CALCUL DES VARIATIONS. 9, 1-18.
Ballester, C., Caselles V., Rougé B., & Verdera J. (2003).  A Variational Model for P+XS Image Fusion. 2nd IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision.
2001
Ballester, C., Caselles V., Rougé B., & Verdera J. (2001).  1.Une méthode géométrique de fusion pour des images P+XS . Société Française de Photogrammétrie et de Télédétection. 169, 53-64 (Choosed one of the 5 best algorithms of P+XS image fusion by the French Spatial Agency CNES) .