Pierre-Marc Jodoin

According to our database, Pierre-Marc Jodoin authored at least 115 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

What matters in reinforcement learning for tractography.

Antoine Théberge, Christian Desrosiers, Arnaud Boré, Maxime Descoteaux, Pierre-Marc Jodoin

Medical Image Anal., 2024

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification.

Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard

CoRR, 2024

TractOracle: Towards an Anatomically-Informed Reward Function for RL-Based Tractography.

Antoine Théberge, Maxime Descoteaux, Pierre-Marc Jodoin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning.

Arnaud Judge, Thierry Judge, Nicolas Duchateau, Roman A. Sandler, Joseph Z. Sokol, Olivier Bernard, Pierre-Marc Jodoin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

FIESTA: Autoencoders for accurate fiber segmentation in tractography.

Félix Dumais, Jon Haitz Legarreta, Carl Lemaire, Philippe Poulin, François Rheault, Laurent Petit, Muhamed Barakovic, Stefano Magon, Maxime Descoteaux, Pierre-Marc Jodoin

NeuroImage, October, 2023

Generative Sampling in Bundle Tractography using Autoencoders (GESTA).

Jon Haitz Legarreta, Laurent Petit, Pierre-Marc Jodoin, Maxime Descoteaux

Medical Image Anal., April, 2023

GANs for Medical Image Synthesis: An Empirical Study.

Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande

J. Imaging, 2023

Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering.

Daniel Jörgens, Pierre-Marc Jodoin, Maxime Descoteaux, Rodrigo Moreno

CoRR, 2023

What Matters in Reinforcement Learning for Tractography.

Antoine Théberge, Christian Desrosiers, Maxime Descoteaux, Pierre-Marc Jodoin

CoRR, 2023

Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation.

Thierry Judge, Olivier Bernard, Woo-Jin Cho Kim, Alberto Gómez, Agisilaos Chartsias, Pierre-Marc Jodoin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation.

Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers

Proceedings of the Information Processing in Medical Imaging, 2023

Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?

Hang Jung Ling, Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Damien Garcia, Olivier Bernard

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

From Machine Learning to Deep Learning.

Pierre-Marc Jodoin, Nicolas Duchateau, Christian Desrosiers

Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023

2022

Echocardiography Segmentation With Enforced Temporal Consistency.

Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin

IEEE Trans. Medical Imaging, 2022

ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans.

Audrey Duran, Gaspard Dussert, Olivier Rouvière, Tristan Jaouen, Pierre-Marc Jodoin, Carole Lartizien

Medical Image Anal., 2022

FIESTA: Autoencoders for accurate fiber segmentation in tractography.

Félix Dumais, Jon Haitz Legarreta, Carl Lemaire, Philippe Poulin, François Rheault, Laurent Petit, Maxime Descoteaux, Pierre-Marc Jodoin

CoRR, 2022

Generative sampling in tractography using autoencoders (GESTA).

Jon Haitz Legarreta, Laurent Petit, Pierre-Marc Jodoin, Maxime Descoteaux

CoRR, 2022

Clustering in Tractography Using Autoencoders (CINTA).

Jon Haitz Legarreta, Laurent Petit, Pierre-Marc Jodoin, Maxime Descoteaux

Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation.

Thierry Judge, Olivier Bernard, Mihaela Porumb, Agisilaos Chartsias, Arian Beqiri, Pierre-Marc Jodoin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images.

Bach Ngoc Kim, Jose Dolz, Pierre-Marc Jodoin, Christian Desrosiers

IEEE Trans. Medical Imaging, 2021

Track-to-Learn: A general framework for tractography with deep reinforcement learning.

Antoine Théberge, Christian Desrosiers, Maxime Descoteaux, Pierre-Marc Jodoin

Medical Image Anal., 2021

Filtering in tractography using autoencoders (FINTA).

Jon Haitz Legarreta, Laurent Petit, François Rheault, Guillaume Theaud, Carl Lemaire, Maxime Descoteaux, Pierre-Marc Jodoin

Medical Image Anal., 2021

Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging.

Benoit Anctil-Robitaille, Antoine Théberge, Pierre-Marc Jodoin, Maxime Descoteaux, Christian Desrosiers, Hervé Lombaert

CoRR, 2021

Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?

Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande

Algorithms, 2021

Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy.

Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Cardiac Segmentation With Strong Anatomical Guarantees.

Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin

IEEE Trans. Medical Imaging, 2020

Neural Teleportation.

Marco Antonio Armenta, Thierry Judge, Nathan Painchaud, Youssef Skandarani, Carl Lemaire, Gabriel Gibeau Sanchez, Philippe Spino, Pierre-Marc Jodoin

CoRR, 2020

Tractography filtering using autoencoders.

Jon Haitz Legarreta, Laurent Petit, François Rheault, Guillaume Theaud, Carl Lemaire, Maxime Descoteaux, Pierre-Marc Jodoin

CoRR, 2020

The Representation Theory of Neural Networks.

Marco Antonio Armenta, Pierre-Marc Jodoin

CoRR, 2020

On the effectiveness of GAN generated cardiac MRIs for segmentation.

Youssef Skandarani, Nathan Painchaud, Pierre-Marc Jodoin, Alain Lalande

CoRR, 2020

LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography.

Sarah Leclerc, Erik Smistad, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Thomas Grenier, Carole Lartizien, Pierre-Marc Jodoin, Lasse Løvstakken, Olivier Bernard

CoRR, 2020

Understanding Alzheimer disease's structural connectivity through explainable AI.

Achraf Essemlali, Etienne St-Onge, Maxime Descoteaux, Pierre-Marc Jodoin

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone.

Audrey Duran, Pierre-Marc Jodoin, Carole Lartizien

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2019

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography.

Sarah Leclerc, Erik Smistad, João Pedrosa, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Pierre-Marc Jodoin, Thomas Grenier, Carole Lartizien, Jan D'hooge, Lasse Løvstakken, Olivier Bernard

IEEE Trans. Medical Imaging, 2019

Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation.

Clément Zotti, Zhiming Luo, Alain Lalande, Pierre-Marc Jodoin

IEEE J. Biomed. Health Informatics, 2019

Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation.

Bach Ngoc Kim, Christian Desrosiers, Jose Dolz, Pierre-Marc Jodoin

CoRR, 2019

Tractography and machine learning: Current state and open challenges.

Philippe Poulin, Daniel Jörgens, Pierre-Marc Jodoin, Maxime Descoteaux

CoRR, 2019

Cardiac MRI Segmentation with Strong Anatomical Guarantees.

Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Structured Pruning of Neural Networks With Budget-Aware Regularization.

Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Spectral Metric for Dataset Complexity Assessment.

Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin

IEEE Trans. Medical Imaging, 2018

MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization.

Zhiming Luo, Frederic Branchaud-Charron, Carl Lemaire, Janusz Konrad, Shaozi Li, Akshaya Mishra, Andrew Achkar, Justin A. Eichel, Pierre-Marc Jodoin

IEEE Trans. Image Process., 2018

Traffic Analytics With Low-Frame-Rate Videos.

Zhiming Luo, Pierre-Marc Jodoin, Song-Zhi Su, Shao-Zi Li, Hugo Larochelle

IEEE Trans. Circuits Syst. Video Technol., 2018

2017

Extensive Benchmark and Survey of Modeling Methods for Scene Background Initialization.

Pierre-Marc Jodoin, Lucia Maddalena, Alfredo Petrosino, Yi Wang

IEEE Trans. Image Process., 2017

Improving pedestrian detection using motion-guided filtering.

Yi Wang, Sébastien Piérard, Song-Zhi Su, Pierre-Marc Jodoin

Pattern Recognit. Lett., 2017

Interactive deep learning method for segmenting moving objects.

Yi Wang, Zhiming Luo, Pierre-Marc Jodoin

Pattern Recognit. Lett., 2017

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.

Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.

Medical Image Anal., 2017

Brain tumor segmentation with Deep Neural Networks.

Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle

Medical Image Anal., 2017

Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation.

Clément Zotti, Zhiming Luo, Alain Lalande, Olivier Humbert, Pierre-Marc Jodoin

CoRR, 2017

Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images.

Michaël Bernier, Pierre-Marc Jodoin, Olivier Humbert, Alain Lalande

Comput. Medical Imaging Graph., 2017

GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation.

Clément Zotti, Zhiming Luo, Olivier Humbert, Alain Lalande, Pierre-Marc Jodoin

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Non-local Deep Features for Salient Object Detection.

Zhiming Luo, Akshaya Kumar Mishra, Andrew Achkar, Justin A. Eichel, Shaozi Li, Pierre-Marc Jodoin

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Deep Learning Trends for Focal Brain Pathology Segmentation in MRI.

Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin

Proceedings of the Machine Learning for Health Informatics, 2016

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography.

Olivier Bernard, Johan G. Bosch, Brecht Heyde, Martino Alessandrini, Daniel Barbosa, Sorina Camarasu-Pop, Frederic Cervenansky, Sébastien Valette, Oana Mirea, Michel Bernier, Pierre-Marc Jodoin, Jaime Santo Domingos, Richard V. Stebbing, Kevin Keraudren, Ozan Oktay, Jose Caballero, Wei Shi, Daniel Rueckert, Fausto Milletari, Seyed-Ahmad Ahmadi, Erik Smistad, Frank Lindseth, Maartje van Stralen, Chen Wang, Örjan Smedby, Erwan Donal, Mark Monaghan, Alex Papachristidis, Marcel L. Geleijnse, Elena Galli, Jan D'hooge

IEEE Trans. Medical Imaging, 2016

Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes.

Greg Castañón, Mohamed A. Elgharib, Venkatesh Saligrama, Pierre-Marc Jodoin

IEEE Trans. Circuits Syst. Video Technol., 2016

CBDF: Compressed Binary Discriminative Feature.

Li-Chuan Geng, Pierre-Marc Jodoin, Song-Zhi Su, Shao-Zi Li

Neurocomputing, 2016

Deep learning trends for focal brain pathology segmentation in MRI.

Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin

CoRR, 2016

Within-brain classification for brain tumor segmentation.

Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin

Int. J. Comput. Assist. Radiol. Surg., 2016

2015

Left-Ventricle Segmentation of SPECT Images of Rats.

Pierre-Marc Jodoin, Fredy Pinheiro, Alexandra Oudot, Alain Lalande

IEEE Trans. Biomed. Eng., 2015

Novel Graph Cuts Method for Multi-Frame Super-Resolution.

Dongxiao Zhang, Pierre-Marc Jodoin, Cuihua Li, Yun-Dong Wu, Guo-Rong Cai

IEEE Signal Process. Lett., 2015

Signal processing and learning methods for 3D semantic analysis.

Yue Gao, Rongrong Ji, Xinbo Gao, Pierre-Marc Jodoin

Signal Process., 2015

Machine learning and pattern recognition models in change detection.

Djamel Bouchaffra, Mohamed Cheriet, Pierre-Marc Jodoin, Diane M. Beck

Pattern Recognit., 2015

High-speed transition patterns for video projection, 3D reconstruction, and copyright protection.

Jonathan Boisvert, Marc-Antoine Drouin, Pierre-Marc Jodoin

Pattern Recognit., 2015

A new compression format for fiber tracking datasets.

Caroline Presseau, Pierre-Marc Jodoin, Jean-Christophe Houde, Maxime Descoteaux

NeuroImage, 2015

A Convolutional Neural Network Approach to Brain Tumor Segmentation.

Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Traffic analysis without motion features.

Zhiming Luo, Pierre-Marc Jodoin, Shao-Zi Li, Song-Zhi Su

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Nonlinear Background Filter to Improve Pedestrian Detection.

Yi Wang, Sébastien Piérard, Song-Zhi Su, Pierre-Marc Jodoin

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015

2014

A Novel Video Dataset for Change Detection Benchmarking.

Nil Goyette, Pierre-Marc Jodoin, Fatih Murat Porikli, Janusz Konrad, Prakash Ishwar

IEEE Trans. Image Process., 2014

Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification.

Mohammad Havaei, Pierre-Marc Jodoin, Hugo Larochelle

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Lying-pose detection with training dataset expansion.

Daoxun Xia, Songzhi Su, Shaozi Li, Pierre-Marc Jodoin

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

CDnet 2014: An Expanded Change Detection Benchmark Dataset.

Yi Wang, Pierre-Marc Jodoin, Fatih Murat Porikli, Janusz Konrad, Yannick Benezeth, Prakash Ishwar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Perspective-SIFT: An efficient tool for low-altitude remote sensing image registration.

Guo-Rong Cai, Pierre-Marc Jodoin, Shao-Zi Li, Yun-Dong Wu, Song-Zhi Su, Zhenkun Huang

Signal Process., 2013

Meta-tracking for video scene understanding.

Pierre-Marc Jodoin, Yannick Benezeth, Yi Wang

Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012

Behavior Subtraction.

Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Konrad

IEEE Trans. Image Process., 2012

Camera-projector matching using unstructured video.

Marc-Antoine Drouin, Pierre-Marc Jodoin, Julien Prémont

Mach. Vis. Appl., 2012

3D segmentation of abdominal aorta from CT-scan and MR images.

Anthony Adam Duquette, Pierre-Marc Jodoin, Olivier Bouchot, Alain Lalande

Comput. Medical Imaging Graph., 2012

Exploratory search of long surveillance videos.

Gregory D. Castañón, André-Louis Caron, Venkatesh Saligrama, Pierre-Marc Jodoin

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Stereoscopic reconfiguration for 3D displays.

Jean-Christophe Houde, Pierre-Marc Jodoin, François Deschênes

Proceedings of the Stereoscopic Displays and Applications XXIII, 2012

Changedetection.net: A new change detection benchmark dataset.

Nil Goyette, Pierre-Marc Jodoin, Fatih Porikli, Janusz Konrad, Prakash Ishwar

Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

Real-Time Activity Search of Surveillance Video.

Greg Castañón, Venkatesh Saligrama, André-Louis Caron, Pierre-Marc Jodoin

Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

2011

Image Multidistortion Estimation.

André-Louis Caron, Pierre-Marc Jodoin

IEEE Trans. Image Process., 2011

Abnormality detection using low-level co-occurring events.

Yannick Benezeth, Pierre-Marc Jodoin, Venkatesh Saligrama

Pattern Recognit. Lett., 2011

2010

Activity Based Matching in Distributed Camera Networks.

Erhan Baki Ermis, Pierre Clarot, Pierre-Marc Jodoin, Venkatesh Saligrama

IEEE Trans. Image Process., 2010

Video Anomaly Identification.

Venkatesh Saligrama, Janusz Konrad, Pierre-Marc Jodoin

IEEE Signal Process. Mag., 2010

Comparative study of background subtraction algorithms.

Yannick Benezeth, Pierre-Marc Jodoin, Bruno Emile, Hélène Laurent, Christophe Rosenberger

J. Electronic Imaging, 2010

Search Strategies for Image Multi-distortion Estimation.

André-Louis Caron, Pierre-Marc Jodoin, Christophe Charrier

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Human Detection with a Multi-sensors Stereovision System.

Yannick Benezeth, Pierre-Marc Jodoin, Bruno Emile, Hélène Laurent, Christophe Rosenberger

Proceedings of the Image and Signal Processing, 4th International Conference, 2010

Camera-projector matching using an unstructured video stream.

Marc-Antoine Drouin, Pierre-Marc Jodoin, Julien Prémont

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Foreground-Adaptive Background Subtraction.

J. Mike McHugh, Janusz Konrad, Venkatesh Saligrama, Pierre-Marc Jodoin

IEEE Signal Process. Lett., 2009

Optical-flow based on an edge-avoidance procedure.

Pierre-Marc Jodoin, Max Mignotte

Comput. Vis. Image Underst., 2009

Implicit Active-Contouring with MRF.

Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Konrad

Proceedings of the Image Analysis and Recognition, 6th International Conference, 2009

Unsupervised camera network structure estimation based on activity.

Pierre Clarot, Erhan Baki Ermis, Pierre-Marc Jodoin, Venkatesh Saligrama

Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009

Abnormal events detection based on spatio-temporal co-occurences.

Yannick Benezeth, Pierre-Marc Jodoin, Venkatesh Saligrama, Christophe Rosenberger

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Review and evaluation of commonly-implemented background subtraction algorithms.

Yannick Benezeth, Pierre-Marc Jodoin, Bruno Emile, Hélène Laurent, Christophe Rosenberger

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Motion detection with false discovery rate control.

J. Mike McHugh, Janusz Konrad, Venkatesh Saligrama, Pierre-Marc Jodoin, David A. Castañón

Proceedings of the International Conference on Image Processing, 2008

Markovian method for 2D, 3D and 4D segmentation of MRI.

Pierre-Marc Jodoin, Alain Lalande, Yvon Voisin, Olivier Bouchot, Eric Steinmetz

Proceedings of the International Conference on Image Processing, 2008

Motion detection with an unstable camera.

Pierre-Marc Jodoin, Janusz Konrad, Venkatesh Saligrama, Vincent Veilleux-Gaboury

Proceedings of the International Conference on Image Processing, 2008

Motion segmentation and abnormal behavior detection via behavior clustering.

Erhan Baki Ermis, Venkatesh Saligrama, Pierre-Marc Jodoin, Janusz Konrad

Proceedings of the International Conference on Image Processing, 2008

Modeling background activity for behavior subtraction.

Pierre-Marc Jodoin, Janusz Konrad, Venkatesh Saligrama

Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

Abnormal behavior detection and behavior matching for networked cameras.

Erhan Baki Ermis, Venkatesh Saligrama, Pierre-Marc Jodoin, Janusz Konrad

Proceedings of the 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008

2007

Segmentation Framework Based on Label Field Fusion.

Pierre-Marc Jodoin, Max Mignotte, Christophe Rosenberger

IEEE Trans. Image Process., 2007

Statistical Background Subtraction Using Spatial Cues.

Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad

IEEE Trans. Circuits Syst. Video Technol., 2007

2006

Markovian segmentation and parameter estimation on graphics hardware.

Pierre-Marc Jodoin, Max Mignotte

J. Electronic Imaging, 2006

Light and Fast Statistical Motion Detection Method Based on Ergodic Model.

Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad

Proceedings of the International Conference on Image Processing, 2006

Background Subtraction Framework Based on Local Spatial Distributions.

Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad

Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

Detecting Half-Occlusion with a Fast Region-Based Fusion Procedure.

Pierre-Marc Jodoin, Christophe Rosenberger, Max Mignotte

Proceedings of the British Machine Vision Conference 2006, 2006

2005

Motion Segmentation Using a K-Nearest-Neighbor-Based Fusion Procedure of Spatial and Temporal Label Cues.

Pierre-Marc Jodoin, Max Mignotte

Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware.

Pierre-Marc Jodoin, Max Mignotte, Jean-François St-Amour

Proceedings of the Image Analysis and Processing, 2005

Unsupervised Markovian Segmentation on Graphics Hardware.

Pierre-Marc Jodoin, Jean-François St-Amour, Max Mignotte

Proceedings of the Pattern Recognition and Image Analysis, 2005

2004

Fast hierarchical importance sampling with blue noise properties.

Victor Ostromoukhov, Charles Donohue, Pierre-Marc Jodoin

ACM Trans. Graph., 2004

An energy-basfd framework using global spatial constraints for the stereo correspondence problem.

Pierre-Marc Jodoin, Max Mignotte

Proceedings of the 2004 International Conference on Image Processing, 2004

Unsupervised motion detection using a markovian temporal model with global spatial constraints.

Pierre-Marc Jodoin, Max Mignotte

Proceedings of the 2004 International Conference on Image Processing, 2004

2003

Halftoning over a hexagonal grid.

Pierre-Marc Jodoin, Victor Ostromoukhov

Proceedings of the Color Imaging VIII: Processing, Hardcopy, and Applications, Santa Clara, 2003

2002

Hatching by example: a statistical approach.

Pierre-Marc Jodoin, Emric Epstein, Martin Granger-Piché, Victor Ostromoukhov

Proceedings of the 2nd International Symposium on Non-Photorealistic Animation and Rendering, 2002

Error diffusion with blue-noise properties for midtones.

Pierre-Marc Jodoin, Victor Ostromoukhov

Proceedings of the Color Imaging: Device-Independent Color, 2002