Pierre-Marc Jodoin
Title
Cited by
Cited by
Year
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
14222017
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
7672012
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
5252014
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
3942008
Comparative study of background subtraction algorithms
Y Benezeth, PM Jodoin, B Emile, H Laurent, C Rosenberger
Journal of Electronic Imaging 19 (3), 033003, 2010
3582010
Fast hierarchical importance sampling with blue noise properties
V Ostromoukhov, C Donohue, PM Jodoin
ACM Transactions on Graphics (TOG) 23 (3), 488-495, 2004
2602004
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
2192009
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
2132017
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
2042017
Foreground-adaptive background subtraction
JM McHugh, J Konrad, V Saligrama, PM Jodoin
IEEE Signal Processing Letters 16 (5), 390-393, 2009
1982009
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
1792018
Interactive deep learning method for segmenting moving objects
Y Wang, Z Luo, PM Jodoin
Pattern Recognition Letters 96, 66-75, 2017
1492017
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
1322007
Video anomaly identification
V Saligrama, J Konrad, PM Jodoin
IEEE Signal Processing Magazine 27 (5), 18-33, 2010
1002010
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
992002
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
662014
Abnormality detection using low-level co-occurring events
Y Benezeth, PM Jodoin, V Saligrama
Pattern Recognition Letters 32 (3), 423-431, 2011
652011
A convolutional neural network approach to brain tumor segmentation
M Havaei, F Dutil, C Pal, H Larochelle, PM Jodoin
BrainLes 2015, 195-208, 2015
602015
Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography
O Bernard, JG Bosch, B Heyde, M Alessandrini, D Barbosa, ...
IEEE transactions on medical imaging 35 (4), 967-977, 2015
582015
Meta-tracking for video scene understanding
PM Jodoin, Y Benezeth, Y Wang
2013 10th IEEE International Conference on Advanced Video and Signal Based …, 2013
522013
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