Pierre-Marc Jodoin
Pierre-Marc Jodoin
確認したメール アドレス: usherbrooke.ca - ホームページ
タイトル
引用先
引用先
Brain tumor segmentation with deep neural networks
M Havaei, A Davy, D Warde-Farley, A Biard, A Courville, Y Bengio, C Pal, ...
Medical image analysis 35, 18-31, 2017
19152017
Changedetection. net: A new change detection benchmark dataset
N Goyette, PM Jodoin, F Porikli, J Konrad, P Ishwar
2012 IEEE computer society conference on computer vision and pattern …, 2012
8672012
CDnet 2014: An expanded change detection benchmark dataset
Y Wang, PM Jodoin, F Porikli, J Konrad, Y Benezeth, P Ishwar
Proceedings of the IEEE conference on computer vision and pattern …, 2014
6422014
Review and evaluation of commonly-implemented background subtraction algorithms
Y Benezeth, PM Jodoin, B Emile, H Laurent, C Rosenberger
2008 19th International Conference on Pattern Recognition, 1-4, 2008
4262008
Comparative study of background subtraction algorithms
Y Benezeth, PM Jodoin, B Emile, H Laurent, C Rosenberger
Journal of Electronic Imaging 19 (3), 033003, 2010
3972010
Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
O Bernard, A Lalande, C Zotti, F Cervenansky, X Yang, PA Heng, I Cetin, ...
IEEE transactions on medical imaging 37 (11), 2514-2525, 2018
3652018
Non-local deep features for salient object detection
Z Luo, A Mishra, A Achkar, J Eichel, S Li, PM Jodoin
Proceedings of the IEEE Conference on computer vision and pattern …, 2017
3292017
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
2812017
Fast hierarchical importance sampling with blue noise properties
V Ostromoukhov, C Donohue, PM Jodoin
ACM Transactions on Graphics (TOG) 23 (3), 488-495, 2004
2692004
Abnormal events detection based on spatio-temporal co-occurences
Y Benezeth, PM Jodoin, V Saligrama, C Rosenberger
2009 IEEE conference on computer vision and pattern recognition, 2458-2465, 2009
2432009
Foreground-adaptive background subtraction
JM McHugh, J Konrad, V Saligrama, PM Jodoin
IEEE Signal Processing Letters 16 (5), 390-393, 2009
2082009
Interactive deep learning method for segmenting moving objects
Y Wang, Z Luo, PM Jodoin
Pattern Recognition Letters 96, 66-75, 2017
2072017
Statistical background subtraction using spatial cues
PM Jodoin, M Mignotte, J Konrad
IEEE Transactions on Circuits and Systems for Video Technology 17 (12), 1758 …, 2007
1362007
Video anomaly identification
V Saligrama, J Konrad, PM Jodoin
IEEE Signal Processing Magazine 27 (5), 18-33, 2010
1102010
Hatching by example: a statistical approach
PM Jodoin, E Epstein, M Granger-Piché, V Ostromoukhov
Proceedings of the 2nd international symposium on Non-photorealistic …, 2002
1012002
Deep learning for segmentation using an open large-scale dataset in 2D echocardiography
S Leclerc, E Smistad, J Pedrosa, A Østvik, F Cervenansky, F Espinosa, ...
IEEE transactions on medical imaging 38 (9), 2198-2210, 2019
982019
A convolutional neural network approach to brain tumor segmentation
M Havaei, F Dutil, C Pal, H Larochelle, PM Jodoin
BrainLes 2015, 195-208, 2015
752015
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation
C Zotti, Z Luo, O Humbert, A Lalande, PM Jodoin
International Workshop on Statistical Atlases and Computational Models of …, 2017
74*2017
A novel video dataset for change detection benchmarking
N Goyette, PM Jodoin, F Porikli, J Konrad, P Ishwar
IEEE Transactions on Image Processing 23 (11), 4663-4679, 2014
742014
Abnormality detection using low-level co-occurring events
Y Benezeth, PM Jodoin, V Saligrama
Pattern Recognition Letters 32 (3), 423-431, 2011
712011
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