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Max Mignotte
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- affiliation: Université de Montréal, Canada
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2020 – today
- 2023
- [j62]Dac Cong Tai Nguyen
, Said Benameur, Max Mignotte, Frédéric Lavoie:
Unsupervised registration of 3D knee implant components to biplanar X-ray images. BMC Medical Imaging 23(1): 133 (2023) - [j61]Dac Cong Tai Nguyen, Said Benameur, Max Mignotte, Frédéric Lavoie:
3D biplanar reconstruction of lower limbs using nonlinear statistical models. Medical Biol. Eng. Comput. 61(11): 2877-2894 (2023) - [j60]Ohini Kafui Toffa
, Max Mignotte:
Dataset and semantic based-approach for image sonification. Multim. Tools Appl. 82(1): 1505-1518 (2023) - [j59]Didier Ndayikengurukiye
, Max Mignotte:
CoSOV1Net: A Cone- and Spatial-Opponent Primary Visual Cortex-Inspired Neural Network for Lightweight Salient Object Detection. Sensors 23(14): 6450 (2023) - 2022
- [j58]Didier Ndayikengurukiye
, Max Mignotte:
Salient Object Detection by LTP Texture Characterization on Opposing Color Pairs under SLICO Superpixel Constraint. J. Imaging 8(4): 110 (2022) - [i3]Didier Ndayikengurukiye, Max Mignotte:
Salient Object Detection by LTP Texture Characterization on Opposing Color Pairs under SLICO Superpixel Constraint. CoRR abs/2201.00439 (2022) - 2021
- [j57]Ohini Kafui Toffa
, Max Mignotte:
A Hierarchical Visual Feature-Based Approach For Image Sonification. IEEE Trans. Multim. 23: 706-715 (2021) - [j56]Ohini Kafui Toffa
, Max Mignotte
:
Environmental Sound Classification Using Local Binary Pattern and Audio Features Collaboration. IEEE Trans. Multim. 23: 3978-3985 (2021) - 2020
- [j55]Lazhar Khelifi
, Max Mignotte
:
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis. IEEE Access 8: 126385-126400 (2020) - [j54]Redha Touati
, Max Mignotte, Mohamed Dahmane
:
Anomaly Feature Learning for Unsupervised Change Detection in Heterogeneous Images: A Deep Sparse Residual Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 588-600 (2020) - [j53]Max Mignotte
:
A Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection. IEEE Trans. Geosci. Remote. Sens. 58(11): 8046-8058 (2020) - [j52]Redha Touati
, Max Mignotte, Mohamed Dahmane:
Multimodal Change Detection in Remote Sensing Images Using an Unsupervised Pixel Pairwise-Based Markov Random Field Model. IEEE Trans. Image Process. 29: 757-767 (2020) - [i2]Lazhar Khelifi, Max Mignotte:
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis. CoRR abs/2006.05612 (2020) - [i1]Lazhar Khelifi, Max Mignotte:
Unsupervised Learning Consensus Model for Dynamic Texture Videos Segmentation. CoRR abs/2006.16177 (2020)
2010 – 2019
- 2019
- [j51]Redha Touati
, Max Mignotte
, Mohamed Dahmane:
A Reliable Mixed-Norm-Based Multiresolution Change Detector in Heterogeneous Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(9): 3588-3601 (2019) - [j50]Lazhar Khelifi
, Max Mignotte
:
MC-SSM: Nonparametric Semantic Image Segmentation With the ICM Algorithm. IEEE Trans. Multim. 21(8): 1946-1959 (2019) - [c51]Redha Touati, Max Mignotte, Mohamed Dahmane:
Multimodal Change Detection Using a Convolution Model-Based Mapping. IPTA 2019: 1-6 - 2018
- [j49]Dac Cong Tai Nguyen, Said Benameur, Max Mignotte, Frédéric Lavoie:
Superpixel and multi-atlas based fusion entropic model for the segmentation of X-ray images. Medical Image Anal. 48: 58-74 (2018) - [j48]Redha Touati
, Max Mignotte:
An Energy-Based Model Encoding Nonlocal Pairwise Pixel Interactions for Multisensor Change Detection. IEEE Trans. Geosci. Remote. Sens. 56(2): 1046-1058 (2018) - [c50]Lazhar Khelifi, Max Mignotte:
A Consensus Framework for Segmenting Video with Dynamic Textures. AVSS 2018: 1-6 - 2017
- [j47]Lazhar Khelifi, Max Mignotte:
EFA-BMFM: A multi-criteria framework for the fusion of colour image segmentation. Inf. Fusion 38: 104-121 (2017) - [j46]Ayman Khlif, Max Mignotte:
Segmentation data visualizing and clustering. Multim. Tools Appl. 76(1): 1531-1552 (2017) - [j45]Max Mignotte:
A biologically inspired framework for contour detection. Pattern Anal. Appl. 20(2): 365-381 (2017) - [j44]Lazhar Khelifi
, Max Mignotte:
A Multi-Objective Decision Making Approach for Solving the Image Segmentation Fusion Problem. IEEE Trans. Image Process. 26(8): 3831-3845 (2017) - [j43]Lazhar Khelifi, Max Mignotte:
A Novel Fusion Approach Based on the Global Consistency Criterion to Fusing Multiple Segmentations. IEEE Trans. Syst. Man Cybern. Syst. 47(9): 2489-2502 (2017) - [c49]Lazhar Khelifi, Max Mignotte:
Semantic image segmentation using the ICM algorithm. ICIP 2017: 3080-3084 - [c48]Redha Touati, Max Mignotte, Mohamed Dahmane:
A new change detector in heterogeneous remote sensing imagery. IPTA 2017: 1-6 - 2016
- [j42]Max Mignotte:
Symmetry detection based on multiscale pairwise texture boundary segment interactions. Pattern Recognit. Lett. 74: 53-60 (2016) - [j41]Rachid Hedjam, Margaret Kalacska
, Max Mignotte, Hossein Ziaei Nafchi, Mohamed Cheriet:
Iterative Classifiers Combination Model for Change Detection in Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 54(12): 6997-7008 (2016) - [c47]Didier Ndayikengurukiye
, Max Mignotte:
High-Frequency Spectral Energy Map Estimation Based Gait Analysis System Using a Depth Camera for Pathology Detection. ICIAR 2016: 38-45 - [c46]Lazhar Khelifi, Max Mignotte:
GCE-based model for the fusion of multiples color image segmentations. ICIP 2016: 2574-2578 - [c45]Lazhar Khelifi, Max Mignotte:
A new multi-criteria fusion model for color textured image segmentation. ICIP 2016: 2579-2583 - [c44]Lilia Chorfi Belhadj, Max Mignotte:
Spatio-temporal fastmap-based mapping for human action recognition. ICIP 2016: 3046-3050 - [c43]Lazhar Khelifi, Max Mignotte:
A multi-objective approach based on TOPSIS to solve the image segmentation combination problem. ICPR 2016: 4220-4225 - [c42]Redha Touati, Max Mignotte:
A multidimensional scaling optimization and fusion approach for the unsupervised change detection problem in remote sensing images. IPTA 2016: 1-6 - 2015
- [c41]Dac Cong Tai Nguyen, Said Benameur, Max Mignotte, Frédéric Lavoie:
Superpixel and Entropy-Based Multi-atlas Fusion Framework for the Segmentation of X-ray Images. ICIAP (2) 2015: 151-161 - 2014
- [j40]Max Mignotte:
A label field fusion model with a variation of information estimator for image segmentation. Inf. Fusion 20: 7-20 (2014) - [j39]Max Mignotte:
A non-stationary MRF model for image segmentation from a soft boundary map. Pattern Anal. Appl. 17(1): 129-139 (2014) - [j38]Nicolas Widynski, Max Mignotte:
A MultiScale Particle Filter Framework for Contour Detection. IEEE Trans. Pattern Anal. Mach. Intell. 36(10): 1922-1935 (2014) - [j37]Nicolas Widynski, Antoine Moevus, Max Mignotte:
Local Symmetry Detection in Natural Images Using a Particle Filtering Approach. IEEE Trans. Image Process. 23(12): 5309-5322 (2014) - [c40]Redha Touati, Max Mignotte:
MDS-based Multi-axial Dimensionality Reduction Model for Human Action Recognition. CRV 2014: 262-267 - [c39]Antoine Moevus, Max Mignotte, Jacques A. de Guise, Jean Meunier:
Evaluating perceptual maps of asymmetries for gait symmetry quantification and pathology detection. EMBC 2014: 3317-3320 - 2012
- [j36]Max Mignotte:
MDS-based segmentation model for the fusion of contour and texture cues in natural images. Comput. Vis. Image Underst. 116(9): 981-990 (2012) - [j35]Max Mignotte:
Non-local pairwise energy-based model for the high-dynamic-range image compression problem. J. Electronic Imaging 21(1): 013016 (2012) - [j34]Max Mignotte:
A Bicriteria-Optimization-Approach-Based Dimensionality-Reduction Model for the Color Display of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 50(2): 501-513 (2012) - [j33]Max Mignotte:
An Energy-Based Model for the Image Edge-Histogram Specification Problem. IEEE Trans. Image Process. 21(1): 379-386 (2012) - [c38]Nicolas Widynski, Max Mignotte:
A Particle Filter Framework for Contour Detection. ECCV (1) 2012: 780-793 - [c37]Hoang Anh Nguyen, Edouard Auvinet, Max Mignotte, Jacques A. de Guise
, Jean Meunier:
Analyzing gait pathologies using a depth camera. EMBC 2012: 4835-4838 - [c36]Said Benameur, Max Mignotte, Frédéric Lavoie:
An homomorphic filtering and expectation maximization approach for the point spread function estimation in ultrasound imaging. Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications 2012: 82950T - 2011
- [j32]Max Mignotte:
A de-texturing and spatially constrained K-means approach for image segmentation. Pattern Recognit. Lett. 32(2): 359-367 (2011) - [j31]Max Mignotte:
MDS-Based Multiresolution Nonlinear Dimensionality Reduction Model for Color Image Segmentation. IEEE Trans. Neural Networks 22(3): 447-460 (2011) - [c35]Caroline Rougier, Edouard Auvinet, Jean Meunier, Max Mignotte, Jacques A. de Guise
:
Depth energy image for gait symmetry quantification. EMBC 2011: 5136-5139 - [c34]Caroline Rougier, Edouard Auvinet
, Jacqueline Rousseau, Max Mignotte, Jean Meunier:
Fall Detection from Depth Map Video Sequences. ICOST 2011: 121-128 - [c33]Nicolas Widynski, Max Mignotte:
A contrario edge detection with edgelets. ICSIPA 2011: 421-426 - [c32]Said Benameur, Max Mignotte, Frédéric Lavoie:
Unsupervised segmentation of ultrasound images by fusion of spatio-frequential textural features. Medical Imaging: Image Processing 2011: 796239 - 2010
- [j30]Max Mignotte:
Fusion of regularization terms for image restoration. J. Electronic Imaging 19(3): 033004 (2010) - [j29]Max Mignotte:
A Multiresolution Markovian Fusion Model for the Color Visualization of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 48(12): 4236-4247 (2010) - [j28]Max Mignotte:
A Label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image Segmentation. IEEE Trans. Image Process. 19(6): 1610-1624 (2010)
2000 – 2009
- 2009
- [j27]Pierre-Marc Jodoin, Max Mignotte:
Optical-flow based on an edge-avoidance procedure. Comput. Vis. Image Underst. 113(4): 511-531 (2009) - [j26]Said Benameur, Max Mignotte, Jean Meunier, Jean-Paul Soucy:
Image Restoration Using Functional and Anatomical Information Fusion with Application to SPECT-MRI Images. Int. J. Biomed. Imaging 2009: 843160:1-843160:12 (2009) - [c31]Rachid Hedjam, Max Mignotte:
A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images. ICIP 2009: 1365-1368 - 2008
- [j25]Max Mignotte:
A non-local regularization strategy for image deconvolution. Pattern Recognit. Lett. 29(16): 2206-2212 (2008) - [j24]Max Mignotte, Jean Meunier, Jean-Paul Soucy:
DCT-Based Complexity Regularization for EM Tomographic Reconstruction. IEEE Trans. Biomed. Eng. 55(2): 801-805 (2008) - [j23]Max Mignotte:
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces. IEEE Trans. Image Process. 17(5): 780-787 (2008) - [c30]Said Benameur, Max Mignotte, Jean-Paul Soucy, Jean Meunier:
Spect image restoration via Recursive Inverse Filtering constrained by a probabilistic MRI atlas. ICIP 2008: 2984-2987 - 2007
- [j22]François Destrempes, Max Mignotte, Jean-François Angers:
Localization of Shapes Using Statistical Models and Stochastic Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 29(9): 1603-1615 (2007) - [j21]Max Mignotte:
A Post-Processing Deconvolution Step for Wavelet-Based Image Denoising Methods. IEEE Signal Process. Lett. 14(9): 621-624 (2007) - [j20]Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad:
Statistical Background Subtraction Using Spatial Cues. IEEE Trans. Circuits Syst. Video Technol. 17(12): 1758-1763 (2007) - [j19]Max Mignotte:
Image Denoising by Averaging of Piecewise Constant Simulations of Image Partitions. IEEE Trans. Image Process. 16(2): 523-533 (2007) - [j18]Pierre-Marc Jodoin, Max Mignotte, Christophe Rosenberger
:
Segmentation Framework Based on Label Field Fusion. IEEE Trans. Image Process. 16(10): 2535-2550 (2007) - 2006
- [j17]Pierre-Marc Jodoin, Max Mignotte:
Markovian segmentation and parameter estimation on graphics hardware. J. Electronic Imaging 15(3): 033005 (2006) - [j16]Max Mignotte:
A Segmentation-Based Regularization Term for Image Deconvolution. IEEE Trans. Image Process. 15(7): 1973-1984 (2006) - [j15]François Destrempes, Jean-François Angers, Max Mignotte:
Fusion of Hidden Markov Random Field Models and Its Bayesian Estimation. IEEE Trans. Image Process. 15(10): 2920-2935 (2006) - [c29]Pierre-Marc Jodoin, Christophe Rosenberger, Max Mignotte:
Detecting Half-Occlusion with a Fast Region-Based Fusion Procedure. BMVC 2006: 417-426 - [c28]Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad:
Background Subtraction Framework Based on Local Spatial Distributions. ICIAR (1) 2006: 370-380 - [c27]Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad:
Light and Fast Statistical Motion Detection Method Based on Ergodic Model. ICIP 2006: 1053-1056 - [c26]Said Benameur, Max Mignotte, Jean-Paul Soucy, Jean Meunier:
An Edge-Preserving Anatomical-Based Regularization Term for the Nas-Rif Restoration of Spect Images. ICIP 2006: 1177-1180 - [c25]Pierre-Marc Jodoin, Max Mignotte:
Optical-Flow Based on an Edge-Avoidance Procedure. ICIP 2006: 1253-1256 - 2005
- [j14]Said Benameur, Max Mignotte, François Destrempes, Jacques A. de Guise
:
Three-dimensional biplanar reconstruction of scoliotic rib cage using the estimation of a mixture of probabilistic prior models. IEEE Trans. Biomed. Eng. 52(10): 1713-1728 (2005) - [j13]Said Benameur, Max Mignotte, Hubert Labelle, Jacques A. de Guise
:
A hierarchical statistical modeling approach for the unsupervised 3-D biplanar reconstruction of the scoliotic spine. IEEE Trans. Biomed. Eng. 52(12): 2041-2057 (2005) - [j12]François Destrempes, Max Mignotte, Jean-François Angers:
A stochastic method for Bayesian estimation of hidden Markov random field models with application to a color model. IEEE Trans. Image Process. 14(8): 1096-1108 (2005) - [c24]Ahmed Id Oumohmed, Max Mignotte, Jian-Yun Nie
:
Semantic-Based Cross-Media Image Retrieval. ICAPR (2) 2005: 414-423 - [c23]Pierre-Marc Jodoin, Jean-François St-Amour, Max Mignotte:
Unsupervised Markovian Segmentation on Graphics Hardware. ICAPR (2) 2005: 444-454 - [c22]Pierre-Marc Jodoin, Max Mignotte, Jean-François St-Amour:
Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware. ICIAP 2005: 592-603 - [c21]Pierre-Marc Jodoin, Max Mignotte:
Motion Segmentation Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal Label Cues. ICIAR 2005: 778-788 - [c20]Max Mignotte:
An adaptive segmentation-based regularization term for image restoration. ICIP (1) 2005: 901-904 - 2004
- [j11]Jean-Francois Laliberte, Jean Meunier, Max Mignotte, Jean-Paul Soucy:
Detection of diffuse abnormal perfusion in SPECT using a normal brain atlas. NeuroImage 23(2): 561-568 (2004) - [j10]Max Mignotte:
Nonparametric Multiscale Energy-Based Model and Its Application in Some Imagery Problems. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 184-197 (2004) - [j9]François Destrempes, Max Mignotte:
A Statistical Model for Contours in Images. IEEE Trans. Pattern Anal. Mach. Intell. 26(5): 626-638 (2004) - [c19]Carmen Alvarez, Ahmed Id Oumohmed, Max Mignotte, Jian-Yun Nie:
Toward Cross-Language and Cross-Media Image Retrieval. CLEF (Working Notes) 2004 - [c18]Carmen Alvarez, Ahmed Id Oumohmed, Max Mignotte, Jian-Yun Nie
:
Toward Cross-Language and Cross-Media Image Retrieval. CLEF 2004: 676-687 - [c17]Pierre-Marc Jodoin, Max Mignotte:
Unsupervised motion detection using a markovian temporal model with global spatial constraints. ICIP 2004: 2591-2594 - [c16]Said Benameur, Max Mignotte, François Destrempes, Jacques A. de Guise:
Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage. ICIP 2004: 2949-2952 - [c15]Pierre-Marc Jodoin, Max Mignotte:
An energy-basfd framework using global spatial constraints for the stereo correspondence problem. ICIP 2004: 3001-3004 - 2003
- [c14]Said Benameur, Max Mignotte, Stefan Parent, Hubert Labelle, Wafa Skalli, Jacques A. de Guise:
A hierarchical statistical modeling approach for the unsupervised 3D reconstruction of the scoliotic spine. ICIP (1) 2003: 561-564 - [c13]Max Mignotte:
Unsupervised statistical sketching for non-photorealistic rendering models. ICIP (3) 2003: 573-576 - [c12]François Destrempes, Max Mignotte:
Unsupervised texture segmentation using a statistical wavelet-based hierarchical multidata model. ICIP (2) 2003: 1053-1056 - [c11]Jean-Francois Laliberte, Jean Meunier, Max Mignotte, Jean-Paul Soucy:
Detection of abnormal diffuse perfusion in SPECT using a normal brain atlas. Medical Imaging: Image Processing 2003 - 2002
- [j8]Max Mignotte, Jean Meunier, Jean-Paul Soucy, Christian Janicki:
Comparison of deconvolution techniques using a distribution mixture parameter estimation: Application in single photon emission computed tomography imagery. J. Electronic Imaging 11(1): 11-24 (2002) - [c10]Max Mignotte:
A new and simple shape descriptor based on a non-parametric multiscale model. ICIP (1) 2002: 445-448 - [c9]François Destrempes, Max Mignotte:
Unsupervised detection of contours using a statistical model. ICIP (2) 2002: 757-760 - [c8]Max Mignotte:
Bayesian Rendering with Non-Parametric Multiscale Prior Model. ICPR (1) 2002: 247-251 - [c7]François Destrempes, Max Mignotte:
Unsupervised Statistical Method for Edgel Clustering With Applications to Shape Localization. ICVGIP 2002 - 2001
- [j7]Max Mignotte, Jean Meunier, Jean-Claude Tardif:
Endocardial Boundary E timation and Tracking in Echocardiographic Images using Deformable Template and Markov Random Fields. Pattern Anal. Appl. 4(4): 256-271 (2001) - [c6]Said Benameur, Max Mignotte, Stefan Parent, Hubert Labelle, Wafa Skalli, Jacques A. de Guise:
3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models. CVPR (2) 2001: 577-582 - 2000
- [j6]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Markov Random Field and Fuzzy Logic Modeling in Sonar Imagery: Application to the Classification of Underwater Floor. Comput. Vis. Image Underst. 79(1): 4-24 (2000) - [j5]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow Shapes in Sonar Imagery. IEEE Trans. Pattern Anal. Mach. Intell. 22(2): 129-141 (2000) - [j4]Koffi Yao, Max Mignotte, Christophe Collet, Pascal Galerne, Gilles Burel
:
Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery. Pattern Recognit. 33(9): 1575-1584 (2000) - [j3]Max Mignotte, Jean Meunier:
Three-dimensional blind deconvolution of SPECT images. IEEE Trans. Biomed. Eng. 47(2): 274-280 (2000) - [j2]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Sonar image segmentation using an unsupervised hierarchical MRF model. IEEE Trans. Image Process. 9(7): 1216-1231 (2000) - [c5]Max Mignotte, Jean Meunier:
Blind deconvolution of human brain SPECT images using a distribution mixture estimation. Medical Imaging: Image Processing 2000
1990 – 1999
- 1999
- [j1]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Three-Class Markovian Segmentation of High-Resolution Sonar Images. Comput. Vis. Image Underst. 76(3): 191-204 (1999) - [c4]Max Mignotte, Jean Meunier:
Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence. CVPR 1999: 1225-1230 - [c3]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Bayesian inference and optimization strategies for some detection and classification problems in sonar imagery. Electronic Imaging: Nonlinear Image Processing 1999 - 1998
- [c2]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Statistical model and genetic optimization: application to pattern detection in sonar images. ICASSP 1998: 2741-2744 - 1997
- [c1]Max Mignotte, Christophe Collet, Patrick Pérez, Patrick Bouthemy:
Unsupervised Markovian segmentation of sonar images. ICASSP 1997: 2781-2784
Coauthor Index
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