Max Mignotte 
  Professor

Brief Vitae & Research Topics

I have received the Master of Sciences (Electronics and Telecommunications) (1992) from UTV, France, the DEA (Postgraduate degree) in Digital Signal, Image and Speech processing from the INPG University, France (Grenoble), in 1993, and the Ph.D. degree in electronics and computer engineering from the University of Bretagne Occidentale (UBO) and from the digital signal laboratory (GTS) of the French Naval Academy, and IRISA, France, (with a DGA-DRET-CNRS grant) in 1998. I was an INRIA post-doctoral fellow at University of Montreal (DIRO), Canada (Québec), from September 1998 to September 1999. I was also a teaching assistant and a lecturer at University of Montreal from September 1999 to July 2000. I am currently with DIRO at the Computer Vision & Geometric Modeling Lab as an full Professor (Professeur titulaire) at University of Montreal. I am also a member of LIO (Laboratoire de recherche en imagerie et orthopédie, Centre de recherche du CHUM, Hôpital Notre-Dame), searcher at CHUM and member of the Biomedical Science and Technologies Research Group (GRSTB).


My current research interests include statistical methods and Bayesian inference for image segmentation, hierarchical models for high-dimensional inverse problems from early vision, fusion, parameters estimation, tracking, classification, shape recognition, deconvolution and restoration problems in medical or sonar imagery.

Recent & Selected Publications

  1. D.C.T. Nguyen, S. Benameur, M. Mignotte, F. Lavoie. Unsupervised registration of 3D knee implant components to biplanar X-ray images. BMC Medical Imaging, BioMed Central, Springer Nature, open access, accepted, June 2023.
  2. M. Mignotte. Saliency map estimation using an unsupervised pairwise pixel-based MRF model. Mathematics (-2156922), section: Probability and Statistics, special issue: Bayesian Inference Modeling Applications, open access, Multidisciplinary Digital Publishing Institute (MDPI), vol. 11 (4):986, February 2023.
  3. O.K. Toffa, M. Mignotte. Dataset and semantic based-approach for image sonification. Multimedia Tools and Applications (MTA), Springer US, vol. 82 (1):1505-1518, May 2022.
  4. D. Ndayikengurukiye, M. Mignotte. Salient object detection by LTP texture characterization on opposing color pairs under SLICO superpixel constraint. Journal of Imaging (JI), special issue: Advances in Color Imaging, Multidisciplinary Digital Publishing Institute (MDPI), open access, vol. 8 (4):110, April 2022.
Complete list (and pdf files if available)

Contact Information

E-mail
mignotte@iro.umontreal.ca
Phone (514) 343 5747
Fax (514) 343 5834
Postal Address Dépt. d'Informatique et R.O.,
Université de Montréal,
C.P. 6128, succ. Centre-Ville,
Montréal (Québec), Canada, H3C 3J7.
Physical Location Local   2377 / 2384
Dépt. d'Informatique et R.O.,
Université de Montréal,
Pavillon André-Aisenstadt,
2920, chemin de la Tour,
Montréal (Québec), Canada, H3T 1J4.
Coord. Lat.:.. 45 deg. 30 min. 17 sec.
Long.: 73 deg. 36 min. 46 sec.
DIRO From Space        

 
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