Unsupervised Markovian segmentation of sonar images. - Max Mignotte; Christophe Collet 001; Patrick Pérez; Patrick Bouthemy (ICASSP, 1997)

Statistical model and genetic optimization: application to pattern detection in sonar images. - Max Mignotte; Christophe Collet 001; Patrick Pérez; Patrick Bouthemy (ICASSP, 1998)

Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence. - Max Mignotte; Jean Meunier (CVPR, 1999)

Bayesian inference and optimization strategies for some detection and classification problems in sonar imagery. - Max Mignotte; Christophe Collet 001; Patrick Pérez; Patrick Bouthemy (Electronic Imaging: Nonlinear Image Processing, 1999)

Three-Class Markovian Segmentation of High-Resolution Sonar Images. - Max Mignotte; Christophe Collet 001; Patrick Pérez; Patrick Bouthemy (Comput. Vis. Image Underst., 1999)

Blind deconvolution of human brain SPECT images using a distribution mixture estimation. - Max Mignotte; Jean Meunier (Image Processing, 2000)

Markov Random Field and Fuzzy Logic Modeling in Sonar Imagery: Application to the Classification of Underwater Floor. - Max Mignotte; Christophe Collet 001; Patrick Pérez; Patrick Bouthemy (Comput. Vis. Image Underst., 2000)

Hybrid Genetic Optimization and Statistical Model-Based Approach for the Classification of Shadow Shapes in Sonar Imagery. - Max Mignotte; Christophe Collet 001; Patrick Pérez; Patrick Bouthemy (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery. - Koffi Yao; Max Mignotte; Christophe Collet 001; Pascal Galerne; Gilles Burel (Pattern Recognit., 2000)

Three-dimensional blind deconvolution of SPECT images. - Max Mignotte; Jean Meunier (IEEE Trans. Biomed. Eng., 2000)

Sonar image segmentation using an unsupervised hierarchical MRF model. - Max Mignotte; Christophe Collet 001; Patrick Pérez; Patrick Bouthemy (IEEE Trans. Image Process., 2000)

3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models. - Said Benameur; Max Mignotte; Stefan Parent; Hubert Labelle; Wafa Skalli; Jacques A. de Guise (CVPR (2), 2001)

Endocardial Boundary E timation and Tracking in Echocardiographic Images using Deformable Template and Markov Random Fields. - Max Mignotte; Jean Meunier; Jean-Claude Tardif (Pattern Anal. Appl., 2001)

Unsupervised detection of contours using a statistical model. - François Destrempes; Max Mignotte (ICIP (2), 2002)

A new and simple shape descriptor based on a non-parametric multiscale model. - Max Mignotte (ICIP (1), 2002)

Bayesian Rendering with Non-Parametric Multiscale Prior Model. - Max Mignotte (ICPR (1), 2002)

Unsupervised Statistical Method for Edgel Clustering With Applications to Shape Localization. - François Destrempes; Max Mignotte (ICVGIP, 2002)

Comparison of deconvolution techniques using a distribution mixture parameter estimation: Application in single photon emission computed tomography imagery. - Max Mignotte; Jean Meunier; Jean-Paul Soucy; Christian Janicki (J. Electronic Imaging, 2002)

A hierarchical statistical modeling approach for the unsupervised 3D reconstruction of the scoliotic spine. - Said Benameur; Max Mignotte; Stefan Parent; Hubert Labelle; Wafa Skalli; Jacques A. de Guise (ICIP (1), 2003)

Unsupervised texture segmentation using a statistical wavelet-based hierarchical multidata model. - François Destrempes; Max Mignotte (ICIP (2), 2003)

Unsupervised statistical sketching for non-photorealistic rendering models. - Max Mignotte (ICIP (3), 2003)

Detection of abnormal diffuse perfusion in SPECT using a normal brain atlas. - Jean-Francois Laliberte; Jean Meunier; Max Mignotte; Jean-Paul Soucy (Image Processing, 2003)

Toward Cross-Language and Cross-Media Image Retrieval. - Carmen Alvarez; Ahmed Id Oumohmed; Max Mignotte; Jian-Yun Nie (CLEF (Working Notes), 2004)

Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage. - Said Benameur; Max Mignotte; François Destrempes; Jacques A. de Guise (ICIP, 2004)

Unsupervised motion detection using a markovian temporal model with global spatial constraints. - Pierre-Marc Jodoin; Max Mignotte (ICIP, 2004)

An energy-basfd framework using global spatial constraints for the stereo correspondence problem. - Pierre-Marc Jodoin; Max Mignotte (ICIP, 2004)

Detection of diffuse abnormal perfusion in SPECT using a normal brain atlas. - Jean-Francois Laliberte; Jean Meunier; Max Mignotte; Jean-Paul Soucy (NeuroImage, 2004)

A Statistical Model for Contours in Images. - François Destrempes; Max Mignotte (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Nonparametric Multiscale Energy-Based Model and Its Application in Some Imagery Problems. - Max Mignotte (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Unsupervised Markovian Segmentation on Graphics Hardware. - Pierre-Marc Jodoin; Jean-François St-Amour; Max Mignotte (ICAPR (2), 2005)

Semantic-Based Cross-Media Image Retrieval. - Ahmed Id Oumohmed; Max Mignotte; Jian-Yun Nie (ICAPR (2), 2005)

Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware. - Pierre-Marc Jodoin; Max Mignotte; Jean-François St-Amour (ICIAP, 2005)

Motion Segmentation Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal Label Cues. - Pierre-Marc Jodoin; Max Mignotte (ICIAR, 2005)

An adaptive segmentation-based regularization term for image restoration. - Max Mignotte (ICIP (1), 2005)

Three-dimensional biplanar reconstruction of scoliotic rib cage using the estimation of a mixture of probabilistic prior models. - Said Benameur; Max Mignotte; François Destrempes; Jacques A. de Guise (IEEE Trans. Biomed. Eng., 2005)

A hierarchical statistical modeling approach for the unsupervised 3-D biplanar reconstruction of the scoliotic spine. - Said Benameur; Max Mignotte; Hubert Labelle; Jacques A. de Guise (IEEE Trans. Biomed. Eng., 2005)

A stochastic method for Bayesian estimation of hidden Markov random field models with application to a color model. - François Destrempes; Max Mignotte; Jean-François Angers (IEEE Trans. Image Process., 2005)

Detecting Half-Occlusion with a Fast Region-Based Fusion Procedure. - Pierre-Marc Jodoin; Christophe Rosenberger; Max Mignotte (BMVC, 2006)

Background Subtraction Framework Based on Local Spatial Distributions. - Pierre-Marc Jodoin; Max Mignotte; Janusz Konrad (ICIAR (1), 2006)

An Edge-Preserving Anatomical-Based Regularization Term for the Nas-Rif Restoration of Spect Images. - Said Benameur; Max Mignotte; Jean-Paul Soucy; Jean Meunier (ICIP, 2006)

Light and Fast Statistical Motion Detection Method Based on Ergodic Model. - Pierre-Marc Jodoin; Max Mignotte; Janusz Konrad (ICIP, 2006)

Markovian segmentation and parameter estimation on graphics hardware. - Pierre-Marc Jodoin; Max Mignotte (J. Electronic Imaging, 2006)

Fusion of Hidden Markov Random Field Models and Its Bayesian Estimation. - François Destrempes; Jean-François Angers; Max Mignotte (IEEE Trans. Image Process., 2006)

A Segmentation-Based Regularization Term for Image Deconvolution. - Max Mignotte (IEEE Trans. Image Process., 2006)

Localization of Shapes Using Statistical Models and Stochastic Optimization. - François Destrempes; Max Mignotte; Jean-François Angers (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

A Post-Processing Deconvolution Step for Wavelet-Based Image Denoising Methods. - Max Mignotte (IEEE Signal Process. Lett., 2007)

Statistical Background Subtraction Using Spatial Cues. - Pierre-Marc Jodoin; Max Mignotte; Janusz Konrad (IEEE Trans. Circuits Syst. Video Technol., 2007)

Segmentation Framework Based on Label Field Fusion. - Pierre-Marc Jodoin; Max Mignotte; Christophe Rosenberger (IEEE Trans. Image Process., 2007)

Image Denoising by Averaging of Piecewise Constant Simulations of Image Partitions. - Max Mignotte (IEEE Trans. Image Process., 2007)

Spect image restoration via Recursive Inverse Filtering constrained by a probabilistic MRI atlas. - Said Benameur; Max Mignotte; Jean-Paul Soucy; Jean Meunier (ICIP, 2008)

A non-local regularization strategy for image deconvolution. - Max Mignotte (Pattern Recognit. Lett., 2008)

DCT-Based Complexity Regularization for EM Tomographic Reconstruction. - Max Mignotte; Jean Meunier; Jean-Paul Soucy (IEEE Trans. Biomed. Eng., 2008)

Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces. - Max Mignotte (IEEE Trans. Image Process., 2008)

A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images. - Rachid Hedjam; Max Mignotte (ICIP, 2009)

Optical-flow based on an edge-avoidance procedure. - Pierre-Marc Jodoin; Max Mignotte (Comput. Vis. Image Underst., 2009)

Image Restoration Using Functional and Anatomical Information Fusion with Application to SPECT-MRI Images. - Said Benameur; Max Mignotte; Jean Meunier; Jean-Paul Soucy (Int. J. Biomed. Imaging, 2009)

Fusion of regularization terms for image restoration. - Max Mignotte (J. Electronic Imaging, 2010)

A Multiresolution Markovian Fusion Model for the Color Visualization of Hyperspectral Images. - Max Mignotte (IEEE Trans. Geosci. Remote. Sens., 2010)

A Label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image Segmentation. - Max Mignotte (IEEE Trans. Image Process., 2010)

Depth energy image for gait symmetry quantification. - Caroline Rougier; Edouard Auvinet; Jean Meunier; Max Mignotte; Jacques A. de Guise (EMBC, 2011)

Fall Detection from Depth Map Video Sequences. - Caroline Rougier; Edouard Auvinet; Jacqueline Rousseau; Max Mignotte; Jean Meunier (ICOST, 2011)

A contrario edge detection with edgelets. - Nicolas Widynski; Max Mignotte (ICSIPA, 2011)

Unsupervised segmentation of ultrasound images by fusion of spatio-frequential textural features. - Said Benameur; Max Mignotte; Frédéric Lavoie (Image Processing, 2011)

A de-texturing and spatially constrained K-means approach for image segmentation. - Max Mignotte (Pattern Recognit. Lett., 2011)

MDS-Based Multiresolution Nonlinear Dimensionality Reduction Model for Color Image Segmentation. - Max Mignotte (IEEE Trans. Neural Networks, 2011)

A Particle Filter Framework for Contour Detection. - Nicolas Widynski; Max Mignotte (ECCV (1), 2012)

Analyzing gait pathologies using a depth camera. - Hoang Anh Nguyen; Edouard Auvinet; Max Mignotte; Jacques A. de Guise; Jean Meunier (EMBC, 2012)

An homomorphic filtering and expectation maximization approach for the point spread function estimation in ultrasound imaging. - Said Benameur; Max Mignotte; Frédéric Lavoie (Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications, 2012)

MDS-based segmentation model for the fusion of contour and texture cues in natural images. - Max Mignotte (Comput. Vis. Image Underst., 2012)

Non-local pairwise energy-based model for the high-dynamic-range image compression problem. - Max Mignotte (J. Electronic Imaging, 2012)

A Bicriteria-Optimization-Approach-Based Dimensionality-Reduction Model for the Color Display of Hyperspectral Images. - Max Mignotte (IEEE Trans. Geosci. Remote. Sens., 2012)

An Energy-Based Model for the Image Edge-Histogram Specification Problem. - Max Mignotte (IEEE Trans. Image Process., 2012)

MDS-based Multi-axial Dimensionality Reduction Model for Human Action Recognition. - Redha Touati; Max Mignotte (CRV, 2014)

Evaluating perceptual maps of asymmetries for gait symmetry quantification and pathology detection. - Antoine Moevus; Max Mignotte; Jacques A. de Guise; Jean Meunier (EMBC, 2014)

A label field fusion model with a variation of information estimator for image segmentation. - Max Mignotte (Inf. Fusion, 2014)

A non-stationary MRF model for image segmentation from a soft boundary map. - Max Mignotte (Pattern Anal. Appl., 2014)

A MultiScale Particle Filter Framework for Contour Detection. - Nicolas Widynski; Max Mignotte (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Local Symmetry Detection in Natural Images Using a Particle Filtering Approach. - Nicolas Widynski; Antoine Moevus; Max Mignotte (IEEE Trans. Image Process., 2014)

Superpixel and Entropy-Based Multi-atlas Fusion Framework for the Segmentation of X-ray Images. - Dac Cong Tai Nguyen; Said Benameur; Max Mignotte; Frédéric Lavoie (ICIAP (2), 2015)

High-Frequency Spectral Energy Map Estimation Based Gait Analysis System Using a Depth Camera for Pathology Detection. - Didier Ndayikengurukiye; Max Mignotte (ICIAR, 2016)

Spatio-temporal fastmap-based mapping for human action recognition. - Lilia Chorfi Belhadj; Max Mignotte (ICIP, 2016)

GCE-based model for the fusion of multiples color image segmentations. - Lazhar Khelifi; Max Mignotte (ICIP, 2016)

A new multi-criteria fusion model for color textured image segmentation. - Lazhar Khelifi; Max Mignotte (ICIP, 2016)

A multi-objective approach based on TOPSIS to solve the image segmentation combination problem. - Lazhar Khelifi; Max Mignotte (ICPR, 2016)

A multidimensional scaling optimization and fusion approach for the unsupervised change detection problem in remote sensing images. - Redha Touati; Max Mignotte (IPTA, 2016)

Symmetry detection based on multiscale pairwise texture boundary segment interactions. - Max Mignotte (Pattern Recognit. Lett., 2016)

Iterative Classifiers Combination Model for Change Detection in Remote Sensing Imagery. - Rachid Hedjam; Margaret Kalacska; Max Mignotte; Hossein Ziaei Nafchi; Mohamed Cheriet (IEEE Trans. Geosci. Remote. Sens., 2016)

Semantic image segmentation using the ICM algorithm. - Lazhar Khelifi; Max Mignotte (ICIP, 2017)

A new change detector in heterogeneous remote sensing imagery. - Redha Touati; Max Mignotte; Mohamed Dahmane (IPTA, 2017)

EFA-BMFM: A multi-criteria framework for the fusion of colour image segmentation. - Lazhar Khelifi; Max Mignotte (Inf. Fusion, 2017)

Segmentation data visualizing and clustering. - Ayman Khlif; Max Mignotte (Multim. Tools Appl., 2017)

A biologically inspired framework for contour detection. - Max Mignotte (Pattern Anal. Appl., 2017)

A Multi-Objective Decision Making Approach for Solving the Image Segmentation Fusion Problem. - Lazhar Khelifi; Max Mignotte (IEEE Trans. Image Process., 2017)

A Novel Fusion Approach Based on the Global Consistency Criterion to Fusing Multiple Segmentations. - Lazhar Khelifi; Max Mignotte (IEEE Trans. Syst. Man Cybern. Syst., 2017)

A Consensus Framework for Segmenting Video with Dynamic Textures. - Lazhar Khelifi; Max Mignotte (AVSS, 2018)

Superpixel and multi-atlas based fusion entropic model for the segmentation of X-ray images. - Dac Cong Tai Nguyen; Said Benameur; Max Mignotte; Frédéric Lavoie (Medical Image Anal., 2018)

An Energy-Based Model Encoding Nonlocal Pairwise Pixel Interactions for Multisensor Change Detection. - Redha Touati; Max Mignotte (IEEE Trans. Geosci. Remote. Sens., 2018)

Multimodal Change Detection Using a Convolution Model-Based Mapping. - Redha Touati; Max Mignotte; Mohamed Dahmane (IPTA, 2019)

A Reliable Mixed-Norm-Based Multiresolution Change Detector in Heterogeneous Remote Sensing Images. - Redha Touati; Max Mignotte; Mohamed Dahmane (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

MC-SSM: Nonparametric Semantic Image Segmentation With the ICM Algorithm. - Lazhar Khelifi; Max Mignotte (IEEE Trans. Multim., 2019)

Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis. - Lazhar Khelifi; Max Mignotte (IEEE Access, 2020)

Unsupervised Learning Consensus Model for Dynamic Texture Videos Segmentation. - Lazhar Khelifi; Max Mignotte (CoRR, 2020)

Anomaly Feature Learning for Unsupervised Change Detection in Heterogeneous Images: A Deep Sparse Residual Model. - Redha Touati; Max Mignotte; Mohamed Dahmane (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

A Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection. - Max Mignotte (IEEE Trans. Geosci. Remote. Sens., 2020)

Multimodal Change Detection in Remote Sensing Images Using an Unsupervised Pixel Pairwise-Based Markov Random Field Model. - Redha Touati; Max Mignotte; Mohamed Dahmane (IEEE Trans. Image Process., 2020)

A Hierarchical Visual Feature-Based Approach For Image Sonification. - Ohini Kafui Toffa; Max Mignotte (IEEE Trans. Multim., 2021)

Environmental Sound Classification Using Local Binary Pattern and Audio Features Collaboration. - Ohini Kafui Toffa; Max Mignotte (IEEE Trans. Multim., 2021)

Salient Object Detection by LTP Texture Characterization on Opposing Color Pairs under SLICO Superpixel Constraint. - Didier Ndayikengurukiye; Max Mignotte (J. Imaging, 2022)

Dataset and semantic based-approach for image sonification. - Ohini Kafui Toffa; Max Mignotte (Multim. Tools Appl., 2023)

CoSOV1Net: A Cone- and Spatial-Opponent Primary Visual Cortex-Inspired Neural Network for Lightweight Salient Object Detection. - Didier Ndayikengurukiye; Max Mignotte (Sensors, 2023)

3D biplanar reconstruction of lower limbs using nonlinear statistical models. - Dac Cong Tai Nguyen; Said Benameur; Max Mignotte; Frédéric Lavoie (Medical Biol. Eng. Comput., 2023)

Unsupervised registration of 3D knee implant components to biplanar X-ray images. - Dac Cong Tai Nguyen; Said Benameur; Max Mignotte; Frédéric Lavoie (BMC Medical Imaging, 2023)