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

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〉

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〉

Image denoising using contextual modeling of curvelet coefficients

R. Kechichian, Carole Amiot, C 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〉

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〉

Anatomical Constraints for 3D Multi-organ semi-automatic segmentation via clustering and graph cut

Razmig Kéchichian, Sébastien Valette, Michel Desvignes, Rémy Prost. Anatomical Constraints for 3D Multi-organ semi-automatic segmentation via clustering and graph cut. Nouvelles méthodologies en imagerie du vivant, Dec 2012, Lyon, France. 〈hal-00828887〉

A web interface for 3D visualization and interactive segmentation of medical images

Hector Jacinto, Razmig Kéchichian, Michel Desvignes, Rémy Prost, Sébastien Valette. A web interface for 3D visualization and interactive segmentation of medical images. 17th International Conference on 3D Web Technology (Web 3D), Aug 2012, Los Angeles, United States. ACM, pp.51-58, 2012, 〈10.1145/2338714.2338722〉. 〈hal-00732335〉

Efficient multi-object segmentation of 3D medical images using clustering and graph cuts

Razmig Kéchichian, Sébastien Valette, Michel Desvignes, Rémy Prost. Efficient multi-object segmentation of 3D medical images using clustering and graph cuts. 18th IEEE International Conference on Image Processing (ICIP 2011), Sep 2011, Bruxelles, Belgium. pp.2149-2152, 2011, 〈10.1109/ICIP.2011.6116036〉. 〈hal-00658028〉

Facial reconstruction as a regression problem

Maxime Berar, Marek Bucki, Françoise Tilotta, Joan Alexis Glaunès, Michel Desvignes, et al.. Facial reconstruction as a regression problem. Digital Forensics for Health Sciences: Applications in Practice and Research, IGI Global, Hershey, pp.68-87, 2011, 978-1609604837. 〈10.4018/978-1-60960-483-7 〉. 〈hal-00748933〉

Procédé de détection et de quantification de molécules immobilisés sur support solide

Gaelle Coussot, Odile Vandenabeele-Trambouze, Michel Desvignes, M. Dobrijevic, A. Le Postollec, et al.. Procédé de détection et de quantification de molécules immobilisés sur support solide. France, Patent n° : EP 2257807 A1. 2010. 〈hal-00998476〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

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