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Max Mignotte
Max Mignotte
Professor of Computer Science, DIRO, Montreal University
Verified email at iro.umontreal.ca - Homepage
Title
Cited by
Cited by
Year
Sonar image segmentation using an unsupervised hierarchical MRF model
M Mignotte, C Collet, P Perez, P Bouthemy
IEEE transactions on image processing 9 (7), 1216-1231, 2000
3292000
Segmentation by Fusion of Histogram-Based-Means Clusters in Different Color Spaces
M Mignotte
IEEE Transactions on image processing 17 (5), 780-787, 2008
2892008
3D/2D registration and segmentation of scoliotic vertebrae using statistical models
S Benameur, M Mignotte, S Parent, H Labelle, W Skalli, J de Guise
Computerized Medical Imaging and Graphics 27 (5), 321-337, 2003
2222003
Fall detection from depth map video sequences
C Rougier, E Auvinet, J Rousseau, M Mignotte, J Meunier
International conference on smart homes and health telematics, 121-128, 2011
2182011
Three-class Markovian segmentation of high-resolution sonar images
M Mignotte, C Collet, P Pérez, P Bouthemy
Computer Vision and Image Understanding 76 (3), 191-204, 1999
1491999
Statistical background subtraction using spatial cues
PM Jodoin, M Mignotte, J Konrad
IEEE Transactions on Circuits and Systems for Video Technology 17 (12), 1758 …, 2007
1422007
Hybrid genetic optimization and statistical model based approach for the classification of shadow shapes in sonar imagery
M Mignotte, C Collet, P Pérez, P Bouthemy
IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (2), 129-141, 2000
1202000
A hierarchical statistical modeling approach for the unsupervised 3-D biplanar reconstruction of the scoliotic spine
S Benameur, M Mignotte, H Labelle, JA De Guise
IEEE Transactions on Biomedical Engineering 52 (12), 2041-2057, 2005
1142005
Endocardial boundary e timation and tracking in echocardiographic images using deformable template and markov random fields
M Mignotte, J Meunier, JC Tardif
Pattern Analysis & Applications 4 (4), 256-271, 2001
1082001
A label field fusion Bayesian model and its penalized maximum rand estimator for image segmentation
M Mignotte
IEEE Transactions on Image Processing 19 (6), 1610-1624, 2010
1042010
Deep learning for change detection in remote sensing images: Comprehensive review and meta-analysis
L Khelifi, M Mignotte
Ieee Access 8, 126385-126400, 2020
1032020
A multiscale optimization approach for the dynamic contour-based boundary detection issue
M Mignotte, J Meunier
Computerized Medical Imaging and Graphics 25 (3), 265-275, 2001
882001
A de-texturing and spatially constrained K-means approach for image segmentation
M Mignotte
Pattern Recognition Letters 32 (2), 359-367, 2011
872011
A segmentation-based regularization term for image deconvolution
M Mignotte
IEEE Transactions on Image Processing 15 (7), 1973-1984, 2006
742006
A non-local regularization strategy for image deconvolution
M Mignotte
Pattern recognition letters 29 (16), 2206-2212, 2008
702008
Three-dimensional biplanar reconstruction of scoliotic rib cage using the estimation of a mixture of probabilistic prior models
S Benameur, M Mignotte, F Destrempes, JA De Guise
IEEE Transactions on Biomedical Engineering 52 (10), 1713-1728, 2005
652005
Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery
KC Yao, M Mignotte, C Collet, P Galerne, G Burel
Pattern Recognition 33 (9), 1575-1584, 2000
632000
Three-dimensional blind deconvolution of SPECT images
M Mignotte, J Meunier
IEEE Transactions on Biomedical Engineering 47 (2), 274-280, 2000
602000
An energy-based model encoding nonlocal pairwise pixel interactions for multisensor change detection
R Touati, M Mignotte
IEEE Transactions on Geoscience and Remote Sensing 56 (2), 1046-1058, 2017
502017
Markov random field and fuzzy logic modeling in sonar imagery: application to the classification of underwater floor
M Mignotte, C Collet, P Pérez, P Bouthemy
Computer Vision and Image Understanding 79 (1), 4-24, 2000
462000
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