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Pierre-Marc Jodoin

Medical Image Anal., IEEE Transactions on Medical Imaging, IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops, IEEE Conference on Computer Vision and Pattern Recognition Workshops, Computer Vision and Pattern Recognition, J. Electronic Imaging, Pattern Recognition Letters, ACM Transactions on Graphics, IEEE Conference on Computer Vision and Pattern Recognition, Journal of Imaging, IEEE journal of biomedical and health informatics Show more
13
Role
Title
Level Year L/R
🐜 Brain tumor segmentation with Deep Neural Networks
9 auth. Mohammad Havaei, Axel Davy, David Warde-Farley, A. Biard, Aaron C. Courville, Yoshua Bengio, ... C. Pal, Pierre-Marc Jodoin, H. Larochelle 		11 2015
11
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🐢 Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
37 auth. O. Bernard, A. Lalande, Clément Zotti, F. Cervenansky, Xin Yang, P. Heng, Irem Cetin, K. Lekadir, O. Camara, M. G. González Ballester, G. Sanromá, S. Napel, Steffen Erhard Petersen, G. Tziritas, E. Grinias, ... Mahendra Khened, V. Kollerathu, Ganapathy Krishnamurthi, Marc-Michel Rohé, X. Pennec, Maxime Sermesant, Fabian Isensee, Paul F. Jäger, Klaus Hermann Maier-Hein, Peter M. Full, I. Wolf, S. Engelhardt, Christian F. Baumgartner, Lisa M. Koch, J. Wolterink, I. Išgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, O. Humbert, Pierre-Marc Jodoin 		10 2018
10
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🐬 Changedetection.net: A new change detection benchmark dataset
Nil Goyette, Pierre-Marc Jodoin, F. Porikli, J. Konrad, P. Ishwar 		9 2012
9
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🐬 CDnet 2014: An Expanded Change Detection Benchmark Dataset
Yi Wang, Pierre-Marc Jodoin, F. Porikli, J. Konrad, Y. Benezeth, P. Ishwar 		9 2014
9
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🐢 Non-local Deep Features for Salient Object Detection
Zhiming Luo, A. Mishra, Andrew Achkar, Justin A. Eichel, Shaozi Li, Pierre-Marc Jodoin 		9 2017
9
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🐜 Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography
14 auth. Sarah Leclerc, E. Smistad, J. Pedrosa, Andreas Østvik, F. Cervenansky, F. Espinosa, T. Espeland, Erik Andreas Rye Berg, Pierre-Marc Jodoin, T. Grenier, ... C. Lartizien, J. D’hooge, L. Løvstakken, O. Bernard 		8 2019
8
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🐜 ISLES 2015 ‐ A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
22 auth. Oskar Maier, Bjoern H Menze, J. V. D. Gablentz, Levin Häni, M. Heinrich, M. Liebrand, S. Winzeck, A. Basit, P. Bentley, Liang Chen, ... D. Christiaens, Francis Dutil, K. Egger, Chaolu Feng, Ben Glocker, M. Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, K. Iftekharuddin, Pierre-Marc Jodoin, Jia-Hong Lee 		8 2017
8
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🐬 Comparative study of background subtraction algorithms
Y. Benezeth, Pierre-Marc Jodoin, B. Emile, H. Laurent, christophe Rosenberger 		8 2010
8
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🐢 Interactive deep learning method for segmenting moving objects
Yi Wang, Zhiming Luo, Pierre-Marc Jodoin 		8 2017
8
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🐢 Fast hierarchical importance sampling with blue noise properties
V. Ostromoukhov, Charles Donohue, Pierre-Marc Jodoin 		8 2004
8
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🐬 Abnormal events detection based on spatio-temporal co-occurences
Y. Benezeth, Pierre-Marc Jodoin, Venkatesh Saligrama, Christophe Rosenberger 		7 2009
7
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🐬 GANs for Medical Image Synthesis: An Empirical Study
Youssef Skandarani, Pierre-Marc Jodoin, A. Lalande 		7 2021
7
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🐢 Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation
Clément Zotti, Zhiming Luo, A. Lalande, Pierre-Marc Jodoin 		7 2019
7
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