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Pierre-Marc Jodoin
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2020 – today
- 2024
- [j48]Antoine Théberge
, Christian Desrosiers
, Arnaud Boré
, Maxime Descoteaux, Pierre-Marc Jodoin
:
What matters in reinforcement learning for tractography. Medical Image Anal. 93: 103085 (2024) - [c51]Arnaud Judge, Thierry Judge, Nicolas Duchateau, Roman A. Sandler, Joseph Z. Sokol, Olivier Bernard, Pierre-Marc Jodoin:
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning. MICCAI (9) 2024: 235-244 - [c50]Antoine Théberge
, Maxime Descoteaux
, Pierre-Marc Jodoin
:
TractOracle: Towards an Anatomically-Informed Reward Function for RL-Based Tractography. MICCAI (2) 2024: 476-486 - [i33]Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard:
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification. CoRR abs/2401.07796 (2024) - [i32]Antoine Théberge, Maxime Descoteaux, Pierre-Marc Jodoin:
TractOracle: towards an anatomically-informed reward function for RL-based tractography. CoRR abs/2403.17845 (2024) - [i31]Arnaud Judge, Thierry Judge, Nicolas Duchateau, Roman A. Sandler, Joseph Z. Sokol, Olivier Bernard, Pierre-Marc Jodoin:
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning. CoRR abs/2406.17902 (2024) - 2023
- [j47]Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande
:
GANs for Medical Image Synthesis: An Empirical Study. J. Imaging 9(3): 69 (2023) - [j46]Jon Haitz Legarreta
, Laurent Petit
, Pierre-Marc Jodoin
, Maxime Descoteaux
:
Generative Sampling in Bundle Tractography using Autoencoders (GESTA). Medical Image Anal. 85: 102761 (2023) - [j45]Félix Dumais
, Jon Haitz Legarreta
, Carl Lemaire
, Philippe Poulin
, François Rheault
, Laurent Petit, Muhamed Barakovic
, Stefano Magon, Maxime Descoteaux, Pierre-Marc Jodoin:
FIESTA: Autoencoders for accurate fiber segmentation in tractography. NeuroImage 279: 120288 (2023) - [c49]Hang Jung Ling
, Nathan Painchaud
, Pierre-Yves Courand
, Pierre-Marc Jodoin
, Damien Garcia
, Olivier Bernard
:
Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use? FIMH 2023: 245-254 - [c48]Bach Ngoc Kim
, Jose Dolz
, Pierre-Marc Jodoin
, Christian Desrosiers
:
Mixup-Privacy: A Simple yet Effective Approach for Privacy-Preserving Segmentation. IPMI 2023: 717-729 - [c47]Thierry Judge, Olivier Bernard, Woo-Jin Cho Kim, Alberto Gómez, Agisilaos Chartsias, Pierre-Marc Jodoin:
Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation. MICCAI (3) 2023: 210-220 - [p2]Pierre-Marc Jodoin, Nicolas Duchateau, Christian Desrosiers:
From Machine Learning to Deep Learning. AI and Big Data in Cardiology 2023: 35-56 - [i30]Hang Jung Ling, Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Damien Garcia, Olivier Bernard:
Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use? CoRR abs/2305.01997 (2023) - [i29]Antoine Théberge, Christian Desrosiers, Maxime Descoteaux, Pierre-Marc Jodoin:
What Matters in Reinforcement Learning for Tractography. CoRR abs/2305.09041 (2023) - [i28]Bach Ngoc Kim, José Dolz, Pierre-Marc Jodoin, Christian Desrosiers:
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation. CoRR abs/2305.13756 (2023) - [i27]Daniel Jörgens, Pierre-Marc Jodoin, Maxime Descoteaux, Rodrigo Moreno:
Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering. CoRR abs/2307.05786 (2023) - 2022
- [j44]Audrey Duran, Gaspard Dussert, Olivier Rouvière
, Tristan Jaouen
, Pierre-Marc Jodoin, Carole Lartizien:
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. Medical Image Anal. 77: 102347 (2022) - [j43]Nathan Painchaud
, Nicolas Duchateau
, Olivier Bernard
, Pierre-Marc Jodoin
:
Echocardiography Segmentation With Enforced Temporal Consistency. IEEE Trans. Medical Imaging 41(10): 2867-2878 (2022) - [c46]Jon Haitz Legarreta
, Laurent Petit
, Pierre-Marc Jodoin
, Maxime Descoteaux
:
Clustering in Tractography Using Autoencoders (CINTA). CDMRI@MICCAI 2022: 125-136 - [c45]Thierry Judge, Olivier Bernard, Mihaela Porumb, Agisilaos Chartsias, Arian Beqiri, Pierre-Marc Jodoin:
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation. MICCAI (8) 2022: 492-502 - [i26]Jon Haitz Legarreta, Laurent Petit, Pierre-Marc Jodoin, Maxime Descoteaux:
Generative sampling in tractography using autoencoders (GESTA). CoRR abs/2204.10891 (2022) - [i25]Thierry Judge, Olivier Bernard, Mihaela Porumb, Agis Chartsias, Arian Beqiri, Pierre-Marc Jodoin:
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation. CoRR abs/2206.07664 (2022) - [i24]Audrey Duran, Gaspard Dussert, Olivier Rouvière
, Tristan Jaouen, Pierre-Marc Jodoin, Carole Lartizien:
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. CoRR abs/2211.13238 (2022) - [i23]Félix Dumais, Jon Haitz Legarreta, Carl Lemaire, Philippe Poulin, François Rheault, Laurent Petit, Maxime Descoteaux, Pierre-Marc Jodoin:
FIESTA: Autoencoders for accurate fiber segmentation in tractography. CoRR abs/2212.00143 (2022) - 2021
- [j42]Youssef Skandarani
, Pierre-Marc Jodoin, Alain Lalande
:
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts? Algorithms 14(7): 212 (2021) - [j41]Antoine Théberge
, Christian Desrosiers, Maxime Descoteaux, Pierre-Marc Jodoin:
Track-to-Learn: A general framework for tractography with deep reinforcement learning. Medical Image Anal. 72: 102093 (2021) - [j40]Jon Haitz Legarreta
, Laurent Petit
, François Rheault, Guillaume Theaud, Carl Lemaire
, Maxime Descoteaux, Pierre-Marc Jodoin
:
Filtering in tractography using autoencoders (FINTA). Medical Image Anal. 72: 102126 (2021) - [j39]Bach Ngoc Kim
, Jose Dolz
, Pierre-Marc Jodoin
, Christian Desrosiers
:
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images. IEEE Trans. Medical Imaging 40(7): 1737-1749 (2021) - [c44]Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin:
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. BMVC 2021: 375 - [i22]Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
GANs for Medical Image Synthesis: An Empirical Study. CoRR abs/2105.05318 (2021) - [i21]Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande:
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts? CoRR abs/2107.11447 (2021) - [i20]Benoit Anctil-Robitaille, Antoine Théberge, Pierre-Marc Jodoin, Maxime Descoteaux, Christian Desrosiers, Hervé Lombaert:
Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging. CoRR abs/2108.04135 (2021) - [i19]Nathan Painchaud
, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin:
Echocardiography Segmentation with Enforced Temporal Consistency. CoRR abs/2112.02102 (2021) - 2020
- [j38]Nathan Painchaud
, Youssef Skandarani
, Thierry Judge, Olivier Bernard
, Alain Lalande
, Pierre-Marc Jodoin
:
Cardiac Segmentation With Strong Anatomical Guarantees. IEEE Trans. Medical Imaging 39(11): 3703-3713 (2020) - [c43]Audrey Duran, Pierre-Marc Jodoin, Carole Lartizien:
Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone. MIDL 2020: 193-204 - [c42]Achraf Essemlali, Etienne St-Onge, Maxime Descoteaux, Pierre-Marc Jodoin:
Understanding Alzheimer disease's structural connectivity through explainable AI. MIDL 2020: 217-229 - [i18]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:
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. CoRR abs/2004.02043 (2020) - [i17]Youssef Skandarani
, Nathan Painchaud
, Pierre-Marc Jodoin, Alain Lalande:
On the effectiveness of GAN generated cardiac MRIs for segmentation. CoRR abs/2005.09026 (2020) - [i16]Nathan Painchaud
, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac Segmentation with Strong Anatomical Guarantees. CoRR abs/2006.08825 (2020) - [i15]Marco Antonio Armenta, Pierre-Marc Jodoin:
The Representation Theory of Neural Networks. CoRR abs/2007.12213 (2020) - [i14]Jon Haitz Legarreta, Laurent Petit, François Rheault, Guillaume Theaud, Carl Lemaire, Maxime Descoteaux, Pierre-Marc Jodoin:
Tractography filtering using autoencoders. CoRR abs/2010.04007 (2020) - [i13]Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin:
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy. CoRR abs/2011.12835 (2020) - [i12]Marco Antonio Armenta, Thierry Judge, Nathan Painchaud, Youssef Skandarani, Carl Lemaire, Gabriel Gibeau Sanchez, Philippe Spino, Pierre-Marc Jodoin:
Neural Teleportation. CoRR abs/2012.01118 (2020)
2010 – 2019
- 2019
- [j37]Clément Zotti
, Zhiming Luo
, Alain Lalande
, Pierre-Marc Jodoin
:
Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation. IEEE J. Biomed. Health Informatics 23(3): 1119-1128 (2019) - [j36]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
:
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Trans. Medical Imaging 38(9): 2198-2210 (2019) - [c41]Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin:
Spectral Metric for Dataset Complexity Assessment. CVPR 2019: 3215-3224 - [c40]Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin:
Structured Pruning of Neural Networks With Budget-Aware Regularization. CVPR 2019: 9108-9116 - [c39]Nathan Painchaud
, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac MRI Segmentation with Strong Anatomical Guarantees. MICCAI (2) 2019: 632-640 - [i11]Philippe Poulin, Daniel Jörgens, Pierre-Marc Jodoin, Maxime Descoteaux:
Tractography and machine learning: Current state and open challenges. CoRR abs/1902.05568 (2019) - [i10]Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin:
Spectral Metric for Dataset Complexity Assessment. CoRR abs/1905.07299 (2019) - [i9]Nathan Painchaud
, Youssef Skandarani
, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin:
Cardiac MRI Segmentation with Strong Anatomical Guarantees. CoRR abs/1907.02865 (2019) - [i8]Bach Ngoc Kim, Christian Desrosiers, Jose Dolz, Pierre-Marc Jodoin:
Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation. CoRR abs/1909.04087 (2019) - 2018
- [j35]Zhiming Luo
, Pierre-Marc Jodoin, Song-Zhi Su
, Shao-Zi Li, Hugo Larochelle:
Traffic Analytics With Low-Frame-Rate Videos. IEEE Trans. Circuits Syst. Video Technol. 28(4): 878-891 (2018) - [j34]Zhiming Luo
, Frederic Branchaud-Charron, Carl Lemaire, Janusz Konrad
, Shaozi Li, Akshaya Mishra, Andrew Achkar, Justin A. Eichel, Pierre-Marc Jodoin:
MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization. IEEE Trans. Image Process. 27(10): 5129-5141 (2018) - [j33]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
:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [e1]Mihaela Pop, Maxime Sermesant, Pierre-Marc Jodoin, Alain Lalande, Xiahai Zhuang, Guang Yang, Alistair A. Young, Olivier Bernard:
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10663, Springer 2018, ISBN 978-3-319-75540-3 [contents] - [i7]Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin:
Structured Pruning of Neural Networks with Budget-Aware Regularization. CoRR abs/1811.09332 (2018) - 2017
- [j32]Michaël Bernier
, Pierre-Marc Jodoin, Olivier Humbert, Alain Lalande
:
Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images. Comput. Medical Imaging Graph. 58: 1-12 (2017) - [j31]Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle:
Brain tumor segmentation with Deep Neural Networks. Medical Image Anal. 35: 18-31 (2017) - [j30]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.:
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Medical Image Anal. 35: 250-269 (2017) - [j29]Yi Wang, Zhiming Luo
, Pierre-Marc Jodoin:
Interactive deep learning method for segmenting moving objects. Pattern Recognit. Lett. 96: 66-75 (2017) - [j28]Yi Wang, Sébastien Piérard
, Song-Zhi Su, Pierre-Marc Jodoin:
Improving pedestrian detection using motion-guided filtering. Pattern Recognit. Lett. 96: 106-112 (2017) - [j27]Pierre-Marc Jodoin, Lucia Maddalena
, Alfredo Petrosino, Yi Wang
:
Extensive Benchmark and Survey of Modeling Methods for Scene Background Initialization. IEEE Trans. Image Process. 26(11): 5244-5256 (2017) - [c38]Zhiming Luo, Akshaya Kumar Mishra, Andrew Achkar, Justin A. Eichel, Shaozi Li, Pierre-Marc Jodoin:
Non-local Deep Features for Salient Object Detection. CVPR 2017: 6593-6601 - [c37]Clément Zotti
, Zhiming Luo, Olivier Humbert, Alain Lalande, Pierre-Marc Jodoin:
GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation. STACOM@MICCAI 2017: 73-81 - [i6]Clément Zotti, Zhiming Luo, Alain Lalande, Olivier Humbert, Pierre-Marc Jodoin:
Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation. CoRR abs/1705.08943 (2017) - 2016
- [j26]Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin:
Within-brain classification for brain tumor segmentation. Int. J. Comput. Assist. Radiol. Surg. 11(5): 777-788 (2016) - [j25]Li-Chuan Geng, Pierre-Marc Jodoin, Song-Zhi Su, Shao-Zi Li:
CBDF: Compressed Binary Discriminative Feature. Neurocomputing 184: 43-54 (2016) - [j24]Greg Castañón
, Mohamed A. Elgharib, Venkatesh Saligrama
, Pierre-Marc Jodoin:
Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes. IEEE Trans. Circuits Syst. Video Technol. 26(12): 2313-2327 (2016) - [j23]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
:
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. IEEE Trans. Medical Imaging 35(4): 967-977 (2016) - [p1]Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin:
Deep Learning Trends for Focal Brain Pathology Segmentation in MRI. Machine Learning for Health Informatics 2016: 125-148 - [i5]Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin:
Deep learning trends for focal brain pathology segmentation in MRI. CoRR abs/1607.05258 (2016) - 2015
- [j22]Caroline Presseau, Pierre-Marc Jodoin, Jean-Christophe Houde
, Maxime Descoteaux
:
A new compression format for fiber tracking datasets. NeuroImage 109: 73-83 (2015) - [j21]Djamel Bouchaffra, Mohamed Cheriet, Pierre-Marc Jodoin, Diane M. Beck
:
Machine learning and pattern recognition models in change detection. Pattern Recognit. 48(3): 613-615 (2015) - [j20]Jonathan Boisvert, Marc-Antoine Drouin, Pierre-Marc Jodoin:
High-speed transition patterns for video projection, 3D reconstruction, and copyright protection. Pattern Recognit. 48(3): 720-731 (2015) - [j19]Yue Gao, Rongrong Ji, Xinbo Gao, Pierre-Marc Jodoin:
Signal processing and learning methods for 3D semantic analysis. Signal Process. 112: 1-3 (2015) - [j18]Dongxiao Zhang
, Pierre-Marc Jodoin, Cuihua Li, Yun-Dong Wu, Guo-Rong Cai:
Novel Graph Cuts Method for Multi-Frame Super-Resolution. IEEE Signal Process. Lett. 22(12): 2279-2283 (2015) - [j17]Pierre-Marc Jodoin, Fredy Pinheiro, Alexandra Oudot
, Alain Lalande
:
Left-Ventricle Segmentation of SPECT Images of Rats. IEEE Trans. Biomed. Eng. 62(9): 2260-2268 (2015) - [c36]Yi Wang, Sébastien Piérard, Song-Zhi Su, Pierre-Marc Jodoin:
Nonlinear Background Filter to Improve Pedestrian Detection. ICIAP Workshops 2015: 535-543 - [c35]Zhiming Luo, Pierre-Marc Jodoin, Shao-Zi Li, Song-Zhi Su:
Traffic analysis without motion features. ICIP 2015: 3290-3294 - [c34]Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin:
A Convolutional Neural Network Approach to Brain Tumor Segmentation. Brainles@MICCAI 2015: 195-208 - [i4]Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron C. Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle:
Brain Tumor Segmentation with Deep Neural Networks. CoRR abs/1505.03540 (2015) - [i3]Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin:
Within-Brain Classification for Brain Tumor Segmentation. CoRR abs/1510.01344 (2015) - 2014
- [j16]Nil Goyette, Pierre-Marc Jodoin, Fatih Murat Porikli, Janusz Konrad
, Prakash Ishwar
:
A Novel Video Dataset for Change Detection Benchmarking. IEEE Trans. Image Process. 23(11): 4663-4679 (2014) - [c33]Yi Wang, Pierre-Marc Jodoin, Fatih Murat Porikli, Janusz Konrad
, Yannick Benezeth, Prakash Ishwar
:
CDnet 2014: An Expanded Change Detection Benchmark Dataset. CVPR Workshops 2014: 393-400 - [c32]Daoxun Xia, Songzhi Su, Shaozi Li, Pierre-Marc Jodoin:
Lying-pose detection with training dataset expansion. ICIP 2014: 3377-3381 - [c31]Mohammad Havaei, Pierre-Marc Jodoin, Hugo Larochelle:
Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification. ICPR 2014: 556-561 - [i2]Greg Castañón, Mohamed A. Elgharib, Venkatesh Saligrama, Pierre-Marc Jodoin:
Retrieval in Long Surveillance Videos using User Described Motion and Object Attributes. CoRR abs/1405.0234 (2014) - 2013
- [j15]Guo-Rong Cai, Pierre-Marc Jodoin, Shao-Zi Li, Yun-Dong Wu, Song-Zhi Su, Zhenkun Huang:
Perspective-SIFT: An efficient tool for low-altitude remote sensing image registration. Signal Process. 93(11): 3088-3110 (2013) - [c30]Pierre-Marc Jodoin, Yannick Benezeth, Yi Wang:
Meta-tracking for video scene understanding. AVSS 2013: 1-6 - 2012
- [j14]Anthony Adam Duquette, Pierre-Marc Jodoin, Olivier Bouchot, Alain Lalande
:
3D segmentation of abdominal aorta from CT-scan and MR images. Comput. Medical Imaging Graph. 36(4): 294-303 (2012) - [j13]Marc-Antoine Drouin, Pierre-Marc Jodoin, Julien Prémont:
Camera-projector matching using unstructured video. Mach. Vis. Appl. 23(5): 887-902 (2012) - [j12]Pierre-Marc Jodoin, Venkatesh Saligrama
, Janusz Konrad
:
Behavior Subtraction. IEEE Trans. Image Process. 21(9): 4244-4255 (2012) - [c29]Greg Castañón, Venkatesh Saligrama
, André-Louis Caron, Pierre-Marc Jodoin:
Real-Time Activity Search of Surveillance Video. AVSS 2012: 246-251 - [c28]Nil Goyette, Pierre-Marc Jodoin, Fatih Porikli, Janusz Konrad
, Prakash Ishwar
:
Changedetection.net: A new change detection benchmark dataset. CVPR Workshops 2012: 1-8 - [c27]Jean-Christophe Houde, Pierre-Marc Jodoin, François Deschênes:
Stereoscopic reconfiguration for 3D displays. SD&A 2012: 82882M - [c26]Gregory D. Castañón, André-Louis Caron, Venkatesh Saligrama
, Pierre-Marc Jodoin:
Exploratory search of long surveillance videos. ACM Multimedia 2012: 309-318 - 2011
- [j11]Yannick Benezeth
, Pierre-Marc Jodoin, Venkatesh Saligrama
:
Abnormality detection using low-level co-occurring events. Pattern Recognit. Lett. 32(3): 423-431 (2011) - [j10]André-Louis Caron, Pierre-Marc Jodoin:
Image Multidistortion Estimation. IEEE Trans. Image Process. 20(12): 3442-3454 (2011) - 2010
- [j9]Yannick Benezeth
, Pierre-Marc Jodoin, Bruno Emile, Hélène Laurent, Christophe Rosenberger
:
Comparative study of background subtraction algorithms. J. Electronic Imaging 19(3): 033003 (2010) - [j8]Venkatesh Saligrama
, Janusz Konrad
, Pierre-Marc Jodoin:
Video Anomaly Identification. IEEE Signal Process. Mag. 27(5): 18-33 (2010) - [j7]Erhan Baki Ermis, Pierre Clarot, Pierre-Marc Jodoin, Venkatesh Saligrama
:
Activity Based Matching in Distributed Camera Networks. IEEE Trans. Image Process. 19(10): 2595-2613 (2010) - [c25]Marc-Antoine Drouin, Pierre-Marc Jodoin, Julien Prémont:
Camera-projector matching using an unstructured video stream. CVPR Workshops 2010: 33-40 - [c24]Yannick Benezeth
, Pierre-Marc Jodoin, Bruno Emile, Hélène Laurent, Christophe Rosenberger
:
Human Detection with a Multi-sensors Stereovision System. ICISP 2010: 228-235 - [c23]André-Louis Caron, Pierre-Marc Jodoin, Christophe Charrier:
Search Strategies for Image Multi-distortion Estimation. ICPR 2010: 2824-2827
2000 – 2009
- 2009
- [j6]Pierre-Marc Jodoin, Max Mignotte:
Optical-flow based on an edge-avoidance procedure. Comput. Vis. Image Underst. 113(4): 511-531 (2009) - [j5]J. Mike McHugh, Janusz Konrad
, Venkatesh Saligrama
, Pierre-Marc Jodoin:
Foreground-Adaptive Background Subtraction. IEEE Signal Process. Lett. 16(5): 390-393 (2009) - [c22]Yannick Benezeth
, Pierre-Marc Jodoin, Venkatesh Saligrama
, Christophe Rosenberger
:
Abnormal events detection based on spatio-temporal co-occurences. CVPR 2009: 2458-2465 - [c21]Pierre Clarot, Erhan Baki Ermis, Pierre-Marc Jodoin, Venkatesh Saligrama
:
Unsupervised camera network structure estimation based on activity. ICDSC 2009: 1-8 - [c20]Pierre-Marc Jodoin, Venkatesh Saligrama
, Janusz Konrad
:
Implicit Active-Contouring with MRF. ICIAR 2009: 178-190 - [i1]Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Konrad:
Behavior Subtraction. CoRR abs/0910.2917 (2009) - 2008
- [c19]Erhan Baki Ermis, Venkatesh Saligrama
, Pierre-Marc Jodoin, Janusz Konrad
:
Abnormal behavior detection and behavior matching for networked cameras. ICDSC 2008: 1-10 - [c18]Pierre-Marc Jodoin, Janusz Konrad
, Venkatesh Saligrama
:
Modeling background activity for behavior subtraction. ICDSC 2008: 1-10 - [c17]Pierre-Marc Jodoin, Janusz Konrad
, Venkatesh Saligrama
, Vincent Veilleux-Gaboury:
Motion detection with an unstable camera. ICIP 2008: 229-232 - [c16]Erhan Baki Ermis, Venkatesh Saligrama
, Pierre-Marc Jodoin, Janusz Konrad
:
Motion segmentation and abnormal behavior detection via behavior clustering. ICIP 2008: 769-772 - [c15]J. Mike McHugh, Janusz Konrad
, Venkatesh Saligrama
, Pierre-Marc Jodoin, David A. Castañón:
Motion detection with false discovery rate control. ICIP 2008: 873-876 - [c14]Pierre-Marc Jodoin, Alain Lalande, Yvon Voisin, Olivier Bouchot, Eric Steinmetz:
Markovian method for 2D, 3D and 4D segmentation of MRI. ICIP 2008: 3012-3015 - [c13]Yannick Benezeth, Pierre-Marc Jodoin, Bruno Emile, Hélène Laurent, Christophe Rosenberger
:
Review and evaluation of commonly-implemented background subtraction algorithms. ICPR 2008: 1-4 - 2007
- [j4]Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
:
Statistical Background Subtraction Using Spatial Cues. IEEE Trans. Circuits Syst. Video Technol. 17(12): 1758-1763 (2007) - [j3]Pierre-Marc Jodoin, Max Mignotte, Christophe Rosenberger
:
Segmentation Framework Based on Label Field Fusion. IEEE Trans. Image Process. 16(10): 2535-2550 (2007) - 2006
- [j2]Pierre-Marc Jodoin, Max Mignotte:
Markovian segmentation and parameter estimation on graphics hardware. J. Electronic Imaging 15(3): 033005 (2006) - [c12]Pierre-Marc Jodoin, Christophe Rosenberger, Max Mignotte:
Detecting Half-Occlusion with a Fast Region-Based Fusion Procedure. BMVC 2006: 417-426 - [c11]Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
:
Background Subtraction Framework Based on Local Spatial Distributions. ICIAR (1) 2006: 370-380 - [c10]Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad
:
Light and Fast Statistical Motion Detection Method Based on Ergodic Model. ICIP 2006: 1053-1056 - [c9]Pierre-Marc Jodoin, Max Mignotte:
Optical-Flow Based on an Edge-Avoidance Procedure. ICIP 2006: 1253-1256 - 2005
- [c8]Pierre-Marc Jodoin, Jean-François St-Amour, Max Mignotte:
Unsupervised Markovian Segmentation on Graphics Hardware. ICAPR (2) 2005: 444-454 - [c7]Pierre-Marc Jodoin, Max Mignotte, Jean-François St-Amour:
Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware. ICIAP 2005: 592-603 - [c6]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 - 2004
- [j1]Victor Ostromoukhov, Charles Donohue, Pierre-Marc Jodoin:
Fast hierarchical importance sampling with blue noise properties. ACM Trans. Graph. 23(3): 488-495 (2004) - [c5]Pierre-Marc Jodoin, Max Mignotte:
Unsupervised motion detection using a markovian temporal model with global spatial constraints. ICIP 2004: 2591-2594 - [c4]Pierre-Marc Jodoin, Max Mignotte:
An energy-basfd framework using global spatial constraints for the stereo correspondence problem. ICIP 2004: 3001-3004 - 2003
- [c3]Pierre-Marc Jodoin, Victor Ostromoukhov:
Halftoning over a hexagonal grid. Color Imaging: Processing, Hardcopy, and Applications 2003: 443-454 - 2002
- [c2]Pierre-Marc Jodoin, Victor Ostromoukhov:
Error diffusion with blue-noise properties for midtones. Color Imaging: Device-Independent Color, Color Hardcopy, and Applications 2002: 293-301 - [c1]Pierre-Marc Jodoin, Emric Epstein, Martin Granger-Piché, Victor Ostromoukhov:
Hatching by example: a statistical approach. NPAR 2002: 29-36
Coauthor Index

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