Michel DESVIGNES
Professeur Grenoble-INP
Equipe Communication and Information in Complex Systems
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : michel.desvignes@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1192
Tél.33 (0)4 76 82 64 21
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Robust Unmixing of Dynamic Sequences Using Regions of Interest

Marc Filippi, Michel Desvignes, Eric Moisan. Robust Unmixing of Dynamic Sequences Using Regions of Interest. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2018, 37 (1), pp.306 - 315. 〈10.1109/TMI.2017.2759661〉. 〈hal-01699221〉

Automatic Multiorgan Segmentation via Multiscale Registration and Graph Cut

Razmig Kéchichian, Sébastien Valette, Michel Desvignes. Automatic Multiorgan Segmentation via Multiscale Registration and Graph Cut. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, In press, 〈10.1109/TMI.2018.2851780〉. 〈hal-01902809〉

Factor Analysis of Dynamic Sequence with Spatial Prior for 2D Cardiac Spect Sequences Analysis

Marc Filippi, Michel Desvignes, Eric Moisan, Catherine Ghezzi, Pascale Perret, et al.. Factor Analysis of Dynamic Sequence with Spatial Prior for 2D Cardiac Spect Sequences Analysis. International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2016), Oct 2016, Lecce, Italy. Springer, Lecture Notes in Computer Science 10016, pp.228-237, Advanced Concepts for Intelligent Vision Systems. 〈10.1007/978-3-319-48680-2_21〉. 〈hal-01698754〉

Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence

Carole Amiot, Catherine Girard, Jocelyn Chanussot, Jérémie Pescatore, Michel Desvignes. Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2016, 35 (6), pp.1565-1574. 〈10.1109/TMI.2016.2520092〉. 〈hal-01442570〉

A priori spatiaux et analyse factorielle de séquences scintigraphiques

Marc Filippi, Eric Moisan, Michel Desvignes, Catherine Ghezzi, Pascale Perret, et al.. A priori spatiaux et analyse factorielle de séquences scintigraphiques. XXVème colloque GRETSI (GRETSI 2015), Sep 2015, Lyon, France. 2015 - GRETSI - Actes de Colloque. 〈hal-01698797〉

Curvelet Based Contrast Enhancement in Fluoroscopic Sequences

C Amiot, Catherine Girard, Jocelyn Chanussot, J Pescatore, Michel Desvignes. Curvelet Based Contrast Enhancement in Fluoroscopic Sequences. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2015, 34 (1), pp.137-147. 〈10.1109/TMI.2014.2349034〉. 〈hal-01260393〉

Image denoising using contextual modeling of curvelet coefficients

R. Kechichian, Carole Amiot, Christian Girard, Jérémie Pescatore, Jocelyn Chanussot, et al.. Image denoising using contextual modeling of curvelet coefficients. 21st IEEE International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. pp.2659-2663, 〈10.1109/ICIP.2014.7025538〉. 〈hal-01128450〉

New data model for graph-cut segmentation: application to automatic melanoma delineation

Razmig Kéchichian, Hao Gong, Marinette Revenu, Olivier Lézoray, Michel Desvignes. New data model for graph-cut segmentation: application to automatic melanoma delineation. 21st IEEE International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. 〈hal-01080049〉

Graph-based skin lesion segmentation of multispectral dermoscopic images

Olivier Lézoray, Marinette Revenu, Michel Desvignes. Graph-based skin lesion segmentation of multispectral dermoscopic images. 21st IEEE International Conference on Image Processing (ICIP 2014), Oct 2014, Paris, France. 〈hal-01080036〉

Shortest-path constraints for 3D multiobject semiautomatic segmentation via clustering and Graph Cut

Razmig Kéchichian, Sébastien Valette, Michel Desvignes, Rémy Prost. Shortest-path constraints for 3D multiobject semiautomatic segmentation via clustering and Graph Cut. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2013, 22 (11), pp.4224-4236. 〈10.1109/TIP.2013.2271192〉. 〈hal-00983319〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal