| 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 | 1742 | 2017 |
| 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 | 838 | 2012 |
| 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 | 611 | 2014 |
| 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 | 420 | 2008 |
| Comparative study of background subtraction algorithms Y Benezeth, PM Jodoin, B Emile, H Laurent, C Rosenberger Journal of Electronic Imaging 19 (3), 033003, 2010 | 388 | 2010 |
| 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 | 304 | 2017 |
| 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 | 301 | 2018 |
| Fast hierarchical importance sampling with blue noise properties V Ostromoukhov, C Donohue, PM Jodoin ACM Transactions on Graphics (TOG) 23 (3), 488-495, 2004 | 268 | 2004 |
| 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 | 259 | 2017 |
| 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 | 237 | 2009 |
| Foreground-adaptive background subtraction JM McHugh, J Konrad, V Saligrama, PM Jodoin IEEE Signal Processing Letters 16 (5), 390-393, 2009 | 206 | 2009 |
| Interactive deep learning method for segmenting moving objects Y Wang, Z Luo, PM Jodoin Pattern Recognition Letters 96, 66-75, 2017 | 186 | 2017 |
| 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 | 134 | 2007 |
| Video anomaly identification V Saligrama, J Konrad, PM Jodoin IEEE Signal Processing Magazine 27 (5), 18-33, 2010 | 107 | 2010 |
| 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 | 101 | 2002 |
| 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 | 74 | 2019 |
| 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 | 71 | 2014 |
| Abnormality detection using low-level co-occurring events Y Benezeth, PM Jodoin, V Saligrama Pattern Recognition Letters 32 (3), 423-431, 2011 | 71 | 2011 |
| A convolutional neural network approach to brain tumor segmentation M Havaei, F Dutil, C Pal, H Larochelle, PM Jodoin BrainLes 2015, 195-208, 2015 | 68 | 2015 |
| 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 | 64* | 2017 |
Janusz KonradProfessor of Electrical and Computer Engineering, Boston UniversityVerifierad e-postadress på bu.edu
