[Ph.D.]
[International Journals]
[International Conferences]
[Miscellaneous]
[Technical Reports]
[Citations]
[pdf]
[postscript]
[weblink]
[abstract]
[technical report]
[slides or poster]
[bibfile]
[citation]
[impact factor]
[C++ code]
[python code]
[demo]
[1st author's webpage]
[colaboration]
[metrics]
[open access]
-
M. Mignotte.
Segmentation d'images sonar par approche Markovienne hierarchique
non supervisée et classification d'ombres portées par modèles
statistiques. Defended on the third of july 1998 at Ecole
Navale (French Naval academy), Brest, France.
-
M. Mignotte.
Fusion of color-based multi-dimensional scaling maps for saliency estimation.
IntechOpen book (peer-reviewed)
chapter
intitled; Digital Image Processing -Latest Advances and Applications,
(Rijeka, Editor: Dr. Francisco Javier Cuevas), Chapter 4,
open access, April 2024.
-
D.C.T. Nguyen, S. Benameur, M. Mignotte, F. Lavoie.
3D biplanar reconstruction of lower limbs using nonlinear statistical models.
Medical & Biological Engineering & Computing (MBEC), Springer
Berlin Heidelberg (Springer Nature),
:1-18, July 2023.
-
D. Ndayikengurukiye, M. Mignotte.
CoSOV1Net: Cone-and spatial-opponency primary visual cortex-inspired
neural network for lightweight salient object detection.
Sensors, section: Sensing and Imaging,
special issue: Object Detection Based on Vision Sensors and Neural Network,
open access,
Multidisciplinary Digital Publishing Institute (MDPI),
vol. 23
(14):6450, July 2023.
-
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 (BMIM),
BioMed Central, Springer Nature,
open access,
vol. 23 (1):133, June 2023.
-
M. Mignotte.
Saliency map estimation using an unsupervised pairwise pixel-based MRF model.
Mathematics, section: Probability and Statistics,
special issue: Bayesian Inference and Modeling with Applications,
open access,
Multidisciplinary Digital Publishing Institute (MDPI),
vol. 11
(4):986, February 2023.
-
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.
-
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.
-
M. Mignotte.
MRF models based on a neighborhood adaptive class conditional likelihood for multimodal change detection.
Journal AI, Computer Science and Robotics Technology (JAICSRT),
launching issue, IntechOpen, Open Science International Journals,
section: Numerical Analysis and Scientific Computing, open access,
vol. 1:1-20, April 2022.
-
L. Khelifi, M. Mignotte.
A new fusion framework for motion segmentation in dynamic scene.
International Journal of Image and Data Fusion (IJIDF), Taylor & Francis,
vol. 2 (2):99-121, March 2021.
-
A. Boukhdhir, Y Zhang, M. Mignotte, P Bellec.
Unraveling reproducible dynamic states of individual brain functional parcellation.
Network Neuroscience (NN),
MIT Press, vol. 5 (1):28-55, February 2021.
-
O.K. Toffa, M. Mignotte.
Environmental sound classification using local binary pattern and audio features collaboration.
IEEE Transactions on Multimedia (TM),
vol. 23
:3978-3985, November 2020.
-
R. Touati, M. Mignotte, M. Dahmane.
A circular invariant convolution model-based mapping for multimodal change detection.
Advances in Science, Technology and Engineering Systems Journal (ASTESJ),
special issue: Multidisciplinary Sciences and Engineering 2020-21,
vol. 5 (5):1288-1298, October 2020.
-
L. Khelifi, M. Mignotte.
Deep learning for change detection in remote sensing images:
Comprehensive review and meta-analysis.
IEEE Access,
vol. 8 :126385-126400, July 2020.
-
M. Mignotte.
A fractal projection and Markovian segmentation-based approach for
multimodal change detection.
IEEE Transactions on Geoscience and Remote Sensing (TGRS),
vol. 58 (11):8046-8058, June 2020.
-
A. Khlif, M. Mignotte.
Classification of alzheimer's disease from MRI using the principle of
consensus segmentation based atlas.
Journal of Radiology and Medical Diagnostic Imaging (RDI),
June 2020.
-
O.K. Toffa, M. Mignotte.
A hierarchical visual feature-based approach for image sonification.
IEEE Transactions on Multimedia (TM),
vol. 23
:706-715, April 2020.
-
R. Touati, M. Mignotte, M. Dahmane.
Partly uncoupled siamese model for change detection from
heterogeneous remote sensing imagery.
Journal of Remote sensing & GIS (JoRSG),
vol. 9 (1):272, March 2020.
-
R. Touati, M. Mignotte, M. Dahmane.
Anomaly feature learning for unsupervised change detection in heterogeneous
images: A deep sparse residual model.
IEEE Journal of Selected Topics in Applied Earth Observations and
Remote Sensing (JSTAR),
13
(1):588-600, January 2020.
-
R. Touati, M. Mignotte, M. Dahmane.
Multimodal change detection in remote sensing images using an
unsupervised pixel pairwise-based Markov Random Field model.
IEEE Transactions on Image Processing (TIP),
29
(1)
:757-767, January 2020.
-
R. Touati, M. Mignotte, M. Dahmane.
A reliable mixed-norm based multiresolution change detector in heterogeneous remote sensing images.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTAR),
12
(9)
:3588-3601, September 2019.
-
L. Khelifi, M. Mignotte.
MC-SSM: Nonparametric semantic image segmentation with the ICM algorithm.
IEEE Transactions on Multimedia (TM),
21
(8)
:1946-1959, August 2019.
-
D. Ndayikengurukiye, M. Mignotte.
Periodicity irregularity map estimation of human gait with a depth camera for pathology detection.
International Journal of Emerging Technology and Advanced
Engineering (IJETAE),
vol. 9 (5):139-154, May 2019.
-
D.C.T. Nguyen, S. Benameur, M. Mignotte, F. Lavoie.
Superpixel and multi-atlas based fusion entropic model for the segmentation of X-ray images.
Medical Image Analysis (MEDIA), Elsevier,
vol.
48
:58-74, August 2018.
-
R. Touati, M. Mignotte.
An energy-based model encoding non-local pairwise pixel interactions for multi-sensor change detection.
IEEE Transactions on Geoscience and Remote Sensing (TGRS),
56
(2)
:1046-1058, February 2018.
-
L. Khelifi, M. Mignotte.
EFA-BMFM: A multi-criteria framework for the fusion of colour image segmentation.
Information Fusion (IF), Elsevier,
vol. 38:104-121, November 2017.
-
L. Khelifi, M. Mignotte.
A novel fusion approach based on the global consistency criterion to fusing multiple segmentations.
IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC),
47
(9)
:2489-2502, September 2017.
-
L. Khelifi, M. Mignotte.
A multi-objective decision making approach for solving the image segmentation fusion problem.
IEEE Transactions on Image Processing (TIP),
26
(8)
:3831-3845, August 2017.
-
M. Mignotte.
A biologically inspired framework for contour detection.
Pattern Analysis and Applications (PAA),
20
(2)
:365-381, May 2017.
-
A. Khlif, M. Mignotte.
Segmentation data visualizing and clustering.
Multimedia Tools and Applications (MTA),
76
(1)
:1531-1552, January 2017.
-
R. Hedjam, M. Kalacska, M. Mignotte, H.-Z. Nafchi, M. Cheriet.
Iterative classifiers fusion model for change detection in remote sensing imagery.
IEEE Transactions on Geoscience and Remote Sensing (TGRS),
54
(12)
:6997-7008, December 2016.
-
M. Mignotte.
Symmetry detection based on multiscale pairwise texture boundary segment interactions.
Pattern Recognition Letters (PRL), 74:53-60,
Elsevier, February 2016.
-
A. Moevus, M. Mignotte, J.A. de Guise, J. Meunier.
A perceptual map for gait symmetry quantification and pathology detection.
BioMedical Engineering OnLine (BMEO),
open access,
14
(1)
:99, October 2015.
-
N. Widynski, A. Moevus, M. Mignotte.
Local symmetry detection in natural images using a particle filtering approach.
IEEE Transactions on Image Processing (TIP),
23
(12):5309-5321, December 2014.
-
N. Widynski, M. Mignotte.
A multiscale particle filter framework for contour detection.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
36
(10):1922-1935, October 2014.
-
C. Helou, M. Mignotte.
A Precision-Recall criterion based consensus model for fusing
multiple segmentations.
International Journal of Signal Processing, Image Processing and Pattern Recognition (IJSIP), SERSC,
7 (3):61-82, July 2014.
-
M. Mignotte.
A label field fusion model with a variation of information estimator for image segmentation.
Information Fusion (IF), Elsevier,
vol. 20:7-20, January 2014.
-
M. Mignotte.
A non-stationary MRF model for image segmentation from a soft boundary map.
Pattern Analysis and Applications (PAA),
17
(1)
:129-139, February 2014.
-
M. Mignotte.
MDS-based segmentation model for the fusion of contour and
texture cues in natural images.
Computer Vision and Image Understanding (CVIU), 116 (9):981-990, September 2012.
-
M. Mignotte.
Non-local pairwise energy based model for the HDR image compression problem.
Journal of Electronic Imaging (JEI),
21 (1):013016, January-March 2012.
-
M. Mignotte.
A bi-criteria optimization approach based dimensionality reduction model
for the color display of hyperspectral images.
IEEE Transactions on Geoscience and Remote Sensing (TGRS),
50
(2):501-513, January 2012.
-
M. Mignotte.
An energy based model for the image edge histogram specification problem.
IEEE Transactions on Image Processing (TIP),
21
(1):379-386, January 2012.
-
M. Mignotte.
MDS-based multiresolution nonlinear dimensionality reduction model for color image segmentation.
IEEE Transactions on Neural Networks (TNN),
22
(3):447-460, March 2011.
-
M. Mignotte.
A de-texturing and spatially constrained K-means approach for image segmentation.
Pattern Recognition Letters (PRL),
Elsevier, 32 (2):359-367, January 2011.
-
M. Mignotte.
A multiresolution Markovian fusion model for the color visualization of hyperspectral images.
IEEE Transactions on Geoscience and Remote Sensing (TGRS),
48
(12):4236-4247, December 2010.
-
M. Mignotte.
Fusion of regularization terms for image restoration.
Journal of Electronic Imaging (JEI), 19(3):333004- July-September 2010.
-
M. Mignotte.
A label field fusion Bayesian model and its penalized maximum Rand estimator for image segmentation.
IEEE Transactions on Image Processing (TIP),
19
(6)
:1610-1624, June 2010.
-
S. Benameur, M. Mignotte, J.-P. Soucy, J. Meunier.
Image restoration using functional and anatomical
information fusion with application to SPECT-MRI images.
International Journal of Biomedical Imaging (IJBI),
(doi:10.1155/2009/843160 online on Oct. 2009), Hindawi Publishing Corporation,
ID 843160, Volume 2009, 12 pages, October 2009.
-
P.-M. Jodoin, M. Mignotte.
Optical-flow based on an edge-avoidance procedure.
Computer Vision and Image Understanding (CVIU),
Elsevier, 113 (4):511-531, April 2009.
-
M. Mignotte.
A non-local regularization strategy for image deconvolution.
Pattern Recognition Letters (PRL),
Elsevier, 29 (16):2206-2212, December 2008.
-
M. Mignotte.
Segmentation by fusion of histogram-based K-means clusters in different color spaces.
IEEE Transactions on Image Processing (TIP),
17
(5):780-787, May 2008.
-
M. Mignotte, J. Meunier, J.-P. Soucy.
DCT-based complexity regularization for EM tomographic reconstruction.
IEEE Transactions on Biomedical Engineering (TBME),
55
(2)
Part 1:801-805, February 2008.
-
P.-M. Jodoin, M. Mignotte, J. Konrad.
Statistical background subtraction methods using spatial cues.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),
17
(12):1758-1764, December 2007.
-
P.-M. Jodoin, M. Mignotte, C. Rosenberger.
Segmentation framework based on label field fusion.
IEEE Transactions on Image Processing (TIP),
16
(10):2535-2550, October 2007.
-
M. Mignotte.
A post-processing deconvolution step for wavelet-based image denoising methods.
IEEE Signal Processing Letters (SPL),
14
(9):621-624, September 2007.
-
F. Destrempes, M. Mignotte, J.-F. Angers.
Localization of shapes using statistical models and stochastic optimization.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
29
(9):1603-1615, September 2007.
-
M. Mignotte.
Image denoising by averaging of piecewise constant simulations of image partitions.
IEEE Transactions on Image Processing (TIP),
16
(2):523-533, February 2007.
-
F. Destrempes, J.-F. Angers, M. Mignotte.
Fusion of hidden Markov Random Field models and its Bayesian estimation.
IEEE Transactions on Image Processing (TIP), 15
(10):2920-2935, October 2006.
-
P.-M. Jodoin, M. Mignotte.
Markovian segmentation and parameter estimation on graphics hardware.
Journal of Electronic Imaging (JEI), 15(3):033005-1-15, July-September 2006.
-
M. Mignotte.
A segmentation-based regularization term for image deconvolution.
IEEE Transactions on Image Processing (TIP),
15
(7):1973-1984, July 2006.
-
S. Benameur, M. Mignotte, H. Labelle, J.A. De Guise.
A hierarchical statistical modeling approach for the unsupervised
3D biplanar reconstruction of the scoliotic spine.
IEEE Transactions on Biomedical Engineering (TBME), 52
(12):2041-2057, December 2005.
-
S. Benameur, M. Mignotte, F. Destrempes, J.A. De Guise.
Three-Dimensional biplanar reconstruction of scoliotic rib cage
using the estimation of a mixture of probabilistic prior models.
IEEE Transactions on Biomedical Engineering (TBME), 52
(10):1713-1728, October 2005.
-
F. Destrempes, M. Mignotte, J.-F. Angers.
A stochastic method for Bayesian estimation of Hidden Markov Random Field
models with application to a color model.
IEEE Transactions on Image Processing (TIP), 14
(8):1096-1124, August 2005.
-
J.-F. Laliberté, J. Meunier, M. Mignotte, J.P. Soucy.
Detection of abnormal diffuse perfusion in SPECT using a normal brain atlas.
NeuroImage, 23 (2):561-8, October 2004.
-
F. Destrempes, M. Mignotte.
A statistical model for contours in images.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
26
(5):626-638, May 2004.
-
M. Mignotte.
Nonparametric multiscale energy-based model
and its application in some imagery problems.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
26
(2):184-197, February 2004.
-
S. Benameur, M. Mignotte, S. Parent, H. Labelle, W. Skalli, J. De Guise.
3D/2D Registration and segmentation of scoliotic vertebrae using statistical models.
Computerized Medical Imaging and Graphics (CMIG), 27 (5):321-327, September 2003.
-
M. Mignotte, J. Meunier, J.-P. Soucy, C. Janicki.
Comparison of deconvolution techniques using a distribution
mixture parameter estimation : application in SPECT imagery.
Journal of Electronic Imaging (JEI), 11 (1):11-25, January 2002.
-
M. Mignotte, J. Meunier, J.-C. Tardif.
Endocardial boundary estimation and tracking in echocardiographic images
using deformable templates and Markov Random Fields.
Pattern Analysis and Applications (PAA), 4 (4):256-271, November 2001.
-
M. Mignotte, J. Meunier.
A multiscale optimization approach for the dynamic contour-based boundary detection issue. Computerized
Medical Imaging and Graphics (CMIG), 25 (3):265-275, May 2001.
-
K.C. Yao, M. Mignotte, C. Collet, P. Galerne, G. Burel.
Unsupervised segmentation using a Self-Organizing Map and a noise model estimation in sonar imagery.
Pattern Recognition (PR), 33 (9):1575-1584, September 2000.
-
M. Mignotte, C. Collet, P. Perez, P. Bouthemy.
Markov Random Field and fuzzy logic modeling in sonar imagery: application
to the classification of underwater floor.
Computer Vision and Image Understanding (CVIU), 79 (1):4-24, July 2000.
-
M. Mignotte, C. Collet, P. Pérez, P. Bouthemy.
Sonar image segmentation using an unsupervised hierarchical MRF model.
IEEE Transactions on Image Processing (TIP), 9
(7):1216-1231, July 2000.
-
M. Mignotte, J. Meunier.
Three-dimensional blind deconvolution of SPECT images.
IEEE Transactions on Biomedical Engineering (TBME), 47
(2):274-281, February 2000.
-
M. Mignotte, C. Collet, P. Pérez, P. Bouthemy.
Hybrid genetic optimization and statistical model-based approach for the classification
of shadow shapes in sonar imagery.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 22
(2):129-141, February 2000.
-
M. Mignotte, C. Collet, P. Pérez, P. Bouthemy.
Three-class Markovian segmentation of high resolution sonar images.
Computer Vision and Image Understanding (CVIU), 76 (3):191-204, December 1999.
-
C. Collet, P. Thourel, M. Mignotte, P. Pérez, P. Bouthemy.
Une nouvelle approche en traitement d'images sonar haute résolution
: la segmentation markovienne hiérarchique multimodèle.
Traitement du Signal (TS), 15 (3):231-250, September 1998.
International Conferences |
-
R. Touati, M. Mignotte, M. Dahmane.
Multimodal change detection using a convolution model-based mapping.
9th IEEE International Conference on Image Processing Theory, Tools and
Applications, IPTA 2019,
pages 1-6, Istanbul, Turkey, November 2019.
-
L. Khelifi, M. Mignotte.
A consensus framework for segmenting video with dynamic textures.
15th IEEE International Conference on Advanced Video and Signal-based
Surveillance, AVSS'18,
pages 1-6, Auckland, New Zealand, November 2018.
-
R. Touati, M. Mignotte, M. Dahmane.
Change detection in heterogeneous remote sensing images based on an
imaging modality-invariant MDS representation.
25th IEEE International Conference on Image Processing, ICIP'18,
pages 3998-4002, Athens, Greece, October 2018.
-
R. Touati, M. Mignotte, M. Dahmane.
A new change detector in heterogeneous remote sensing imagery.
7th IEEE International Conference on Image Processing Theory, Tools and
Applications, IPTA 2017,
pages 1-6, Montreal, Canada, December 2017.
-
L. Khelifi, M. Mignotte.
Semantic image segmentation using the ICM algorithm.
24th IEEE International Conference on Image Processing, ICIP'17,
pages 3080-3084, Beiging, China, September 2017.
-
A. Khlif, M. Mignotte.
Classification of Alzheimer's disease subjects from MRI using the
principle of consensus segmentation.
19th Irish Machine Vision and Image Processing conference, IMVIP'17,
published by the Irish Pattern Recognition & Classification Society,
pages 123-130, Maynooth University, Co. Kildare, Ireland, August 2017.
-
R. Touati, M. Mignotte.
A multidimensional scaling optimization and fusion approach for the
unsupervised change detection problem in remote sensing images.
6th IEEE International Conference on Image Processing Theory, Tools and Applications, IPTA'16,
pages 1-6, Oulu, Finland, December 2016.
-
L. Khelifi, M. Mignotte.
A multi-objective approach based on TOPSIS to solve the image segmentation combination problem.
23rd IEEE International Conference on Pattern Recognition, ICPR'16,
pages 4220-4225, Cancun, Mexico, December 2016.
-
L. Chorfi Belhadj, M. Mignotte.
Spatio-temporal fastmap-based mapping for human action recognition.
23rd IEEE International Conference on Image Processing, ICIP'16,
pages 3046-3050, Phoenix, Arizona, USA, September 2016.
-
L. Khelifi, M. Mignotte.
GCE-based model for the fusion of multiples color image segmentations.
23rd IEEE International Conference on Image Processing, ICIP'16,
pages 2574-2578, Phoenix, Arizona, USA, September 2016.
-
L. Khelifi, M. Mignotte.
A new multi-criteria fusion model for color textured image segmentation.
23rd IEEE International Conference on Image Processing, ICIP'16,
pages 2579-2583, Phoenix, Arizona, USA, September 2016.
-
D. Ndayikengurukiye, M. Mignotte.
High-frequency spectral energy map estimation based gait analysis system
using a depth camera for pathology detection.
13th International Conference on Image Analysis and Recognition, ICIAR'16,
Lecture Notes in Computer Science, volume 9730, pages 38-45,
Póvoa de Varzim, Portugal, July 2016.
-
D.C.T. Nguyen, S. Benameur, M. Mignotte, F. Lavoie.
Superpixel and entropy-based multi-atlas fusion framework for the
segmentation of X-ray images.
18th International Conference on Image Analysis and Processing, ICIAP'15,
Lecture Notes in Computer Science, volume 9280, pages 151-161,
Genova, Italy, September 2015.
-
A. Moevus, M. Mignotte, J. de Guise, J. Meunier.
Evaluating perceptual maps of asymmetries for gait symmetry quantification and pathology detection.
36th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'14,
pages 3317-3320, Chicago, Illinois, USA, August 2014.
-
R. Touati, M. Mignotte.
MDS-based multi-axial dimensionality reduction model for human action recognition.
11th conference on Computer and Robot Vision, CRV'14,
pages 262-267, Montréal, Québec, Canada, May 2014.
-
N. Widynski, M. Mignotte.
A particle filter framework for contour detection.
12nd European Conference on Computer Vision, ECCV'12,
Lecture Notes in Computer Science, volume 7572,
pages 780-793, Firenze, Italy, October 2012.
-
H.A. Nguyen, E. Auvinet, M. Mignotte, J.A. De Guise, J. Meunier.
Analyzing gait pathologies using a depth camera.
34th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'12,
pages 4835-4838, San diego, CA, USA, September 2012.
-
S. Benameur, M. Mignotte, F. Lavoie.
An homomorphic filtering and expectation maximization approach for the point spread function estimation in ultrasound imaging.
SPIE conference on Medical Imaging, SPIE'12,
Image processing: algorithms and systems X; and parallel processing for imaging applications II,
Paper 8295A-28, Volume 8295A, San Francisco, CA, USA, February 2012.
-
N. Widynski, M. Mignotte.
A contrario edge detection with edgelets.
2nd IEEE International Conference on Signal & Image Processing Applications, ICSIPA'11,
pages 421-426, Kuala Lumpur, Malaysia, November 2011.
-
C. Rougier, E. Auvinet, J. Meunier, M. Mignotte, J.A. de Guise.
Depth energy image for gait symmetry quantification.
33rd International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'11,
pages 5136-5139, Boston, MA, USA, August 2011.
-
C. Rougier, E. Auvinet, J. Rousseau, M. Mignotte, J. Meunier.
Fall detection from depth map video sequences.
9th International Conference on Smart Homes and Health Telematics, ICOST'11,
Lecture Notes in Computer Science, volume 6719/2011,
pages 121-128, Montréal, Québec, Canada, June 2011.
-
S. Benameur, M. Mignotte, F. Lavoie.
Unsupervised segmentation of ultrasound images by fusion of spatio-frequential textural features.
SPIE conference on Medical Imaging, SPIE'11,
volume 7962, Medical Imaging 2011: Image Processing, 796239, pages 7962-116, Lake Buena Vista, Florida, USA, March 2011.
-
R. Hedjam, M. Mignotte.
A hierarchical graph-based Markovian clustering approach for the unsupervised
segmentation of textured color images.
16th IEEE International Conference on Image Processing, ICIP'09,
pages 1365-1368, Cairo, Egypt, November 2009.
-
S. Benameur, M. Mignotte, J.-P. Soucy, J. Meunier.
SPECT image restoration via recursive inverse filtering
constrained by a probabilistic MRI atlas.
15th IEEE International Conference on Image Processing, ICIP'08,
pages 2984-2987, San Diego, CA, USA, October 2008.
-
P.-M. Jodoin, M. Mignotte.
Optical-flow based on an edge-avoidance procedure.
13th IEEE International Conference on Image Processing, ICIP'06,
pages 1253-1256, Atlanta, GA, USA, October 2006.
-
P.-M. Jodoin, M. Mignotte, J. Konrad.
Light and fast statistical motion detection method based on ergodic model.
13th IEEE International Conference on Image Processing, ICIP'06,
pages 1053-1056, Atlanta, GA, USA, October 2006.
-
S. Benameur, M. Mignotte, J. Meunier, J.-P. Soucy.
An edge-preserving anatomical-based regularization term for the NAS-RIF restoration of SPECT image.
13th IEEE International Conference on Image Processing, ICIP'06,
pages 1177-1180, Atlanta, GA, USA, October 2006.
-
P.-M. Jodoin, C. Rosenberger, M. Mignotte.
Detecting half-occlusion with a fast region-based fusion.
17th British Machine Vision Conference, BMVC'06,
volume I, pages 417-426, Edinburgh, United Kingdom (UK), September 2006.
-
P.-M. Jodoin, M. Mignotte, J. Konrad.
Background subtraction framework based on local spatial distributions.
3rd International Conference on Image Analysis and Recognition, ICIAR'06,
Lecture Notes in Computer Science, volume LNCS 4141-I, pages 370-380,
Povos de Varzim, Portugal, September 2006.
-
P.-M. Jodoin, M. Mignotte.
Motion segmentation using a K-nearest neighbor-based fusion procedure of spatial and temporal label cues.
2nd International Conference on Image Analysis and Recognition, ICIAR'05,
Lecture Notes in Computer Science, volume LNCS 3656, pages 778-785,
Toronto, Canada, September 2005.
-
P.-M. Jodoin, M. Mignotte, J.-F. St-Amour.
Markovian energy-based computer vision algorithms on graphics hardware.
13th International Conference on Image Analysis and Processing, ICIAP'05,
Lecture Notes in Computer Science, volume LNCS 3617, Image Analysis and Processing, pages 592-603,
Cagliary, Italy, September 2005.
-
M. Mignotte.
An adaptive segmentation-based regularization term for image restoration.
12th IEEE International Conference on Image Processing, ICIP'05,
volume 1, pages 901-904, Genova, Italy, September 2005.
-
P.-M. Jodoin, J.-F. St-Amour, M. Mignotte.
Unsupervised Markovian segmentation on graphics hardware.
3rd International Conference on Advances in Pattern Recognition, ICAPR'05,
Lecture Notes in Computer Science, volume LNCS 3686, Pattern Recognition and Data Mining, Proceedings Part 2, pages 444-454,
Bath, United Kingdom (UK), August 2005.
-
A. Id-Oumohmed, M. Mignotte, J.-Y. Nie.
Semantic-based cross-media image retrieval.
3rd International Conference on Advances in Pattern Recognition, ICAPR'05,
Lecture Notes in Computer Science, volume LNCS 3686, Pattern Recognition and Data Mining,
Proceedings Part 2, pages 414-423, Bath, United Kingdom (UK), August 2005.
-
S. Benameur, M. Mignotte, F. Destrempes, J. De Guise.
Estimation of mixture of probabilistic PCA with stochastic EM for the 3D biplanar
reconstruction of scoliotic rib cage.
11th IEEE International Conference on Image Processing, ICIP'04,
volume 5, pages 2949-2952, Singapore, October 2004.
-
P-M. Jodoin, M. Mignotte.
An energy-based framework using global spatial constraints for the stereo correspondence problem.
11th IEEE International Conference on Image Processing, ICIP'04,
volume 5, pages 3001-3004, Singapore, October 2004.
-
P-M. Jodoin, M. Mignotte.
Unsupervised motion detection using a Markovian temporal model with global spatial constraints.
11th IEEE International Conference on Image Processing, ICIP'04,
volume 4, pages 2591-2594, Singapore, October 2004.
-
C. Alvarez, A. Id-Oumohmed, M. Mignotte, J.-Y. Nie.
Toward cross-language and cross-media image retrieval.
5th Workshop on Cross Langage Evaluation Forum, CLEF 2004,
lecture notes in Computer science, volume 3491, Multilingual information
access for text, speech and images, pages 676-688, Bath, United Kingdom, September 2004.
-
S. Benameur, M. Mignotte, H. Labelle, J. De Guise.
3D biplanar reconstruction of scoliotic rib cage using statistical models.
5th Meeting of the International Research Society of Spinal Deformities Meeting, IRSSD'04,
pages 135-138, British Columbia, Canada, June 2004.
-
S. Benameur, M. Mignotte, H. Labelle, J. De Guise.
Three-dimensional statistical shape models for automatic 3D biplanar reconstruction of scoliotic spine.
5th Meeting of the International Research Society of Spinal Deformities Meeting, IRSSD'04,
pages 223-226, British Columbia, Canada, June 2004.
-
F. Destrempes, M. Mignotte.
Unsupervised texture segmentation using a statistical
wavelet-based hierarchical multi data model.
10th IEEE International Conference on Image Processing, ICIP'03,
volume 2, pages 1053-1056, Barcelona, Spain, September 2003.
-
M. Mignotte.
Unsupervised statistical sketching for Non-Photorealistic Rendering models.
10th IEEE International Conference on Image Processing, ICIP'03,
volume 3, pages 573-577, Barcelona, Spain, September 2003.
-
S. Benameur, M. Mignotte, S. Parent, H. Labelle, W. Skalli, J. De Guise.
A hierarchical statistical modeling approach for the unsupervised 3D reconstruction of the scoliotic spine.
10th IEEE International Conference on Image Processing, ICIP'03,
volume 1, pages 561-564, Barcelona, Spain, September 2003.
-
J.F. Laliberte, J. Meunier, M. Mignotte, J. Soucy.
Detection of abnormal diffuse perfusion in SPECT using a normal brain atlas.
SPIE Conference on Medical Imaging, SPIE'03,
volume 5032-04, pages, San Diego, CA, USA, February 2003.
-
F. Destrempes, M. Mignotte.
Unsupervised statistical method for edgel clustering with application to shape localization.
3rd Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP'02,
Space Application Centre (ISRO),pages 411-416, Ahmedabad, India, December 2002.
-
F. Destrempes, M. Mignotte.
Unsupervised detection of contours using a statistical model.
9th IEEE International Conference on Image Processing, ICIP'02,
volume 2, pages 757-760, Rochester, New-York, USA, September 2002.
-
M. Mignotte.
A new and simple shape descriptor based on a non-parametric multiscale model.
9th IEEE International Conference on Image Processing, ICIP'02,
volume 1, pages 445-448, Rochester, New-York, USA, September 2002.
-
F. Destrempes, M. Mignotte.
Unsupervised localization of shapes using statistical models.
4th IASTED International Conference on Signal and Image Processing, ICSIP'02,
pages 60-65, Kaua'i Marriott, Hawaii, USA, August 2002.
-
F. Destrempes, M. Mignotte.
Unsupervised detection and semi-automatic extraction of contours using a statistical model and dynamic programming.
4th IASTED International Conference on Signal and Image Processing, ICSIP'02,
pages 66-71, Kaua'i Marriott, Hawaii, USA, August 2002.
-
M. Mignotte.
Bayesian rendering with non-parametric multiscale prior model.
16th IEEE International Conference on Pattern Recognition, ICPR'02,
volume 1, pages 247-250, Québec City Convention Center, Québec, Canada, August 2002.
-
S. Benameur, M. Mignotte, S. Parent, H. Labelle, W. Skalli, J. De Guise.
3D biplanar statistical reconstruction of scoliotic models.
4th Meeting of the International Research Society of Spinal Deformities,
IRSSD, included in the book: Research into spinal Deformities, IRSSD'02,
pages 67-71, Astir Palace Resort, Athens, Greece, May 2002.
-
S. Benameur, M. Mignotte, S. Parent, H. Labelle, W. Skalli, J. De Guise.
3D Biplanar reconstruction of scoliotic vertebrae using statistical models.
20th IEEE International Conference on Computer Vision and Pattern Recognition, CVPR'01,
volume 2, pages 577-582, Kauai Marriott, Hawaii, USA, December 2001.
-
M. Mignotte, J. Meunier, J.-P. Soucy, C. Janicki.
Segmentation and classification of brain SPECT images using 3D Markov
Random Field and density mixture estimations.
5th World Multi-Conference on Systemics, Cybernetics and Informatics, SCI'01, Concepts and
Applications of Systemics and Informatics,
volume X, pages 239-244, Orlando, Floride, USA, July 2001.
-
M. Mignotte, J. Meunier.
Unsupervised restoration of brain SPECT volumes.
13th Conference on Vision Interfaces, VI'00,
pages 55-60, Montréal, Québec, Canada, May 2000.
-
M. Mignotte, J. Meunier.
An unsupervised multiscale approach for the dynamic contour-based boundary detection issue in ultrasound imagery.
3rd International Conference on Computer Vision, Pattern Recognition and Image Processing, CVPRIP'00,
volume 2, pages 366-369,
Atlantic City, New Jersey, USA, March 2000.
-
M. Mignotte, J. Meunier.
Blind deconvolution of human brain SPECT images using a distribution mixture estimation.
SPIE Conference on Medical Imaging, SPIE'00,
volume 3979-2, pages 1370-1377, San Diego, CA, USA, February 2000.
-
M. Mignotte, C. Collet, P. Pérez, P. Bouthemy.
Markov Random Field model and fuzzy formalism-based data modeling for the sea-bed classification
in sonar imagery.
SPIE Conference on Mathematical Modeling, Bayesian Estimation and Inverse Problems, SPIE'00,
volume 3816-29, pages 229-240, Denver, Colorado, USA, July 1999.
-
M. Mignotte, J. Meunier.
Deformable template and distribution mixture-based data modeling for the endocardial contour
tracking in an echographic sequence.
18th IEEE International Conference on Computer Vision and Pattern Recognition, CVPR'99,
volume 1, pages 225-230, Fort Collins, Colorado, USA, June 1999.
-
M. Mignotte, C. Collet, P. Pérez, P. Bouthemy.
Bayesian inference and optimization strategies for some detection and classification problems
in sonar imagery. SPIE Conference on Non Linear Image Processing, SPIE'99,
Electronic Imaging'99,
volume 3646, pages 14-27, San Jose, California, USA, January 1999.
-
M. Mignotte, C. Collet, P. Pérez, P. Bouthemy.
Statistical model and genetic optimization: application to pattern detection in sonar images.
23rd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP'98,
volume 5, pages 2741-2745, Seattle, Washington, USA, May 1998.
-
M. Mignotte, C. Collet, P. Pérez, P. Bouthemy.
Unsupervised hierarchical Markovian segmentation of sonar images.
4th IEEE International Conference on Image Processing, ICIP'97,
On CD-ROM, Santa-Barbara, California, USA, October 1997.
-
M. Mignotte, C. Collet, P. Pérez, P. Bouthemy.
Unsupervised segmentation applied on sonar images.
Workshop on Energy Minimisation Methods in Computer Vision and Pattern Recognition, EMMCVPR'97,
Lecture Notes in Computer Science (Springer-Verlag), volume LNCS 1223, pages 491-506, Venice, Italy, May1997.
-
M. Mignotte, C. Collet, P. Pérez, P. Bouthemy.
Unsupervised Markovian segmentation of sonar images.
22nd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP'97,
volume 4, pages 2781-2785, Munchen, Germany, May 1997.
-
F. Schmitt, M. Mignotte, C. Collet, P. Thourel.
Estimation of noise parameters on sonar images.
SPIE conference on Signal and Image Processing, SPIE'96,
volume 2823, pages 1-12, Denver, Colorado, USA, August 1996.
Misc. (International
Workshops, Symposiums, Congres, Meetings, Seminars, etc.) |
-
A. Boukhdhir, M. Mignotte, Y. Zhang, P. Bellec.
Unraveling the dynamic states of individual brain functional parcellation.
25th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2019),
Modeling and Analysis Methods, Task-Independent and Resting-State Analysis,
Poster
T589 and Abstract ID 4414, Roma, Italy, June 2019.
-
A. Boukhdhir, M. Mignotte, Y. Zhang, P. Bellec.
Assessing the reproducibility of dynamic states of individual
brain functional parcels.
5th Whistler Scientific Workshop on Brain
Functional Organization, Connectivity and Behavior,
Magnetic Research Center, Yale School of Medicine, Noosa, Sunshine Coast, Australia,
March 2019,
Abstract,
Oral, and Poster session.
-
J.-P. Soucy, S. Benameur, M. Mignotte, J. Meunier.
SPECT restoration by a new approach to the NAS-RIF algorithm using MRI-based anatomical constraints.
Society for Neuroscience,
San Diego, CA, USA, November 2007.
-
S. Benameur, M. Mignotte, F. Destrempes, J. de Guise.
Reconstruction stéréographique de la cage thoracique à l'aide de modèles statistiques.
34e Réunion annuelle de la Société de la scoliose du
Québec (SSQ 2004), October 2004.
-
J.-P. Soucy, J-F. Laliberté, J. Meunier, M. Mignotte.
Further work on detecting diffuse abnormalities in SPECT cerebral blood flow studies.
10th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2004), Imaging Techniques,
Poster and Abstract No. TH-389,
Budapest, Hungary, June 2004.
-
S. Benameur, M. Mignotte, H. Labelle, J. De Guise.
Reconstruction 3D statistique hiérarchique biplanaire du rachis scoliotique.
6ième Congrès Annuel des Étudiants et Stagiaires du CRCHUM, Hôpital Notre-Dame,
Montréal, Québec, Canada,
December 2003.
-
S. Benameur, M. Mignotte, S. Parent, H. Labelle, W. Skalli, J. De Guise.
Reconstruction 3D des vertèbres scoliotiques par modélisation statistique.
Congres des stagiaires de recherche en santé de la faculté de médecine,
du CHUM et des centres hospitaliers et instituts, Palais des Congrès de
Montréal. Médicine Sciences,
Supplement 2, Vol. 19, page 7, Université de Montréal, January 2003.
-
J. De Guise, S. Benameur, M. Mignotte, S. Parent, W. Skalli, H. Labelle.
Reconstruction 3D biplanaire détaillée des vertèbres
scoliotiques par modélisation statistique.
32e Réunion annuelle de la Société de la scoliose du
Québec (SSQ 2002),page 12, October 2002.
-
S. Benameur, M. Mignotte, S. Parent, H. Labelle, W. Skalli, J. De Guise.
Laboratoire de recherche en imagerie et orthopédie CHUM, Montréal.
Reconstruction 3D biplanaire des vertèbres scoliotiques par modèle statistique.
Prix du Public, 5th édition du Concours Innovation
Recherche 2002 de l'Association québécoise des fabricants de l'industrie
médicale (AQFIM),
http://www.concours-aqfim.org/, Poster, Avril 2002.
(public prize)
-
J.-P. Soucy, J.-F. Laliberté, J. Meunier, M. Mignotte.
A Cerebral blood flow atlas of the normal brain: Application
to automated recognition of abnormal perfusion in SPECT
Soc. Neurosci. Abstract No. 28, 2002.
-
J.-P. Soucy, M. Mignotte, C. Janicki, J. Meunier.
A three-dimensional blind deconvolution technique for improving
contrast recovery in SPECT brain blood flow studies.
7th Annual Meeting of the Organization for Human Brain Mapping,
Conference on Functional Mapping of the Human Brain (OHBM 2001),
NeuroImage 12, #5, Abstract No. 9923, page S254,
Brighton, England, June 2001.
-
J.-P. Soucy, M. Mignotte, C. Janicki, J. Meunier.
Comparison of 10 contrast recovery iterative deconvolution techniques
for SPECT cerebral blood flow (CBF) imaging.
Soc. Neurosci.
Abstract No. 27 ,Part. 1, page 1480, June 2001.
-
S. Benameur, M. Mignotte, S. Parent, H. Labelle, W. Skalli, J. De Guise.
Detailed 3D reconstruction of scoliotic vertebrae.
Spine Biomechanics Research Day,
Sainte-Justine Hospital, Montréal, Québec, Canada, Abstract, June 2001.
-
S. Benameur, M. Mignotte, S. Parent, H. Labelle, W. Skalli, J. De Guise.
Reconstruction 3D biplanaire des vertèbres scoliotiques.
Mini Symposium, Imagerie du système musculo-squelettique,
LIO, Hôpital Notre-Dame, Montréal, Québec, Canada, Abstract,
March 2001.
-
S. Benameur, M. Mignotte, S. Parent, H. Labelle, W. Skalli, J. De Guise.
Reconstruction 3D détaillée des vertèbres scoliotiques
par modèle statistique à partir d´images radiographiques
biplanaires.
Journée de la recherche du POES 2001,
Hôpital Maisonneuv-Rosemont, Montréal, Québec, Canada,
Abstract, May 2001.
-
S. Benameur, M. Mignotte, S. Parent, H. Labelle, W. Skalli, J. De Guise.
Reconstruction 3D détaillée des vertèbres scoliotiques.
3ième Congrès Annuel des Étudiants et Stagiaires
du CRCHUM,
Hôpital Notre-Dame, Montréal, Québec, Canada, Abstract, December 2000.
-
M. Mignotte. Statistical sketching for Non-Photorealistic Rendering models and animations.
Technical Report, DIRO, Montreal University, Canada, Québec, January 2004.
-
S. Benameur, M. Mignotte, J-P Soucy, J. Meunier.
SPECT study restoration using anatomical and geometrical constraints extracted from MRI images.
Technical Report 1310. Computer Science and Operations Research department (DIRO),
University of Montreal, Montreal, Québec, Canada, October 2008.
-
M. Mignotte. Bayesian inference and/or optimization strategies for some
detection, traking, and deconvolution problems in medical images. INRIA
postdoctoral Report, DIRO, Montreal University, Canada, Québec,
September 1999.
-
M. Mignotte. Classification d'ombres portées en imagerie
sonar par modèle statistique et algorithme génétique
hybride.
Technical Report No. 28, GTS, Ecole Navale, Brest, France, October 1998.
-
M. Mignotte. Segmentation trois classes et modélisation
du bruit par lois de Weibull en imagerie sonar.
Technical Report No. 23, GTS, Ecole Navale, Brest, France, June 1997.
-
M. Mignotte. Segmentation d'images sonar : Modèle hiérarchique
proposé.
Technical Report No. 14, GTS, Ecole Navale, Brest, France, December 1996.
-
M. Mignotte. Modèle markovien: Estimation des paramètres.
Technical Report No. 7, GTS, Ecole Navale, Brest, France, March 1996.
-
M. Mignotte. Etude de differentes techniques de corrélation
et d'un filtre en treillis pour le suivi de formes dans une séquence
d'images.
DEA Report, ITMI, Grenoble, France, July 1993.
-
M. Mignotte. Logiciel de traitement de spectre induit par laser
impulsionnel.
M.Sc. Report, LOE and Université de Toulon et du Var, France,
June 1992.
FILE
Readers should be aware of some of the issues raised
by the electronic dissemination of published papers.
In particular, readers should know that:
The documents contained in these directories are included by the contributing
authors as a means to ensure timely dissemination of scholarly and technical
work on a non-commercial basis. Copyright and all rights therein are maintained
by the authors and by other copyright holders, notwithstanding that they have
offered their works here electronically. It is understood that all persons
copying this information will adhere to the terms and constraints invoked by
each author's copyright. These works may not be reposted without the explicit
permission of the copyright holder.
The
h-index measure has been recently proposed by J. E. Hirsch in order
to both measure publication activity and citation impact of a searcher
According to the definition by Jorge E. Hirsch, a scientist has index h if h is the largest number
of his/her N papers having received at least h citations each. This index has immediately
found interest in the public and received positive reception both in the scientific community
and the scientometrics literature.
Let us note that this measure must be used to compare searchers of a
same research field (e.g., image processing is different than bioinformatics or learning technologies
or distributed multimedia systems etc.) and that this measure also allows (to a certain extent)
to measure scientific output of departments and labs.
My Google scholar h-number is presently
h-number= 38
(this simply means that h-number papers of mine got at least h-number citations according to the Web
engine search Google scholar).
You can find this h numbers either by consulting the following web
sites (or by using

):
My Orcid number is:
Journal Impact Factor
Conference Impact Factor