Contact
CoordonnéesStructure(s) de rattachement
Département MathématiquesLaboratoire d'Analyse Non Linéaire et Géométrie (EA 2151)
UFR-ip Sciences et Technologies
Rattachement(s) externe(s)
ANR Rolses
Disciplines enseignées
- Aide à la décision (M2)
- Analyse numérique (M1)
- Probabilités-statistiques (L2-L3)
- Mathématiques pour l'enseignement primaire (L3)
Thème(s) de recherche
- Optimisation
- Optimisation multicritères
- Imagerie médicale
Equipe(s) de recherche
Analyse non linéaire
Publications
D. Gourion, D. T. Luc, Finding efficient solutions by free disposal outer approximation, SIAM J. Optim. 20 (2010), no6, 2939--2958.
D. Gourion, A. Seeger, Critical angles in random polyhedral cones, J. Math. Anal. Appl. 374 (2011), no1, 8--21.
D. Gourion, A. Seeger, Deterministic and random methods for computing volumetric moduli of convex cones, Comput. Appl. Math. 29 (2010), no 2, 1--32.
D. Gourion, A. Seeger, Critical angles in polyhedral convex cones: numerical and statistical considerations, Math. Program. 123 (2010), no1, 173--198.
D. Gourion, D. T. Luc, Generating the weakly efficient set of nonconvex multiobjective problems, J. Global Optim. 41 (2008), no4, 517--538.
P. Gantet, P. Payoux, A. Celler, C. Majorel, D. Gourion, D. Noll, J.-P. Esquerré, Iterative three-dimensional expectation maximization restoration of single photon emission computed tomography images:applcation in striatal imaging, Med. Phys. 33 (2006), no1, 52--60.
D. Gourion, D. Noll, The inverse problem of emission tomography, Inverse Problems 18 (2002), no5, 1435--1460.
D. Gourion, D. Noll, P. Gantet, A. Celler, J.-P. Esquerré, Attenuation correction using SPECT emission data only, IEEE Trans. Nucl. Sci., 49 (2002), no5, 2172--2179.
D. Gourion, X. Hatchondo, P. Gantet, D. Noll, J.-P. Esquerré, Comparison of two methods for SPECT attenuation correction without transmission measurements, 2001 IEEE Nucl. Sci. Symposium, Conference Records, 4 (2001), 2183--2187.
J. Vaccaro, D. Gourion, M. Samuelides, S. Thorpe, Rank-based Hebbian learning in a multi-layered neural network; Proc. SPIE, 3728 (1999), 301--315, Ninth Workshop on Virtual Intelligence and Dynamic Neural Networks.
