Ismail Ben Ayed
Professor
Department of Systems Engineering
Office: A-3596
Phone: 514 396-8800, ext.7206
Ismail.BenAyed@etsmtl.ca
ismail.benayed@gmail.com
Research interests:
- Information and Communications Technologies
Research areas:
- Graph cut algorithms
- Convex optimization algorithms
- Medical image analysis
- Satellite image analysis
- Computer vision
- Image processing
- Machine learning and pattern recognition
- Markov random fields (MRF)
- Variational and level set methods
- Image segmentation
- Computer assisted diagnosis
GPA659: Vision artificielle
+ Original articles in refereed journals and books chapters
«An automatic deep learning-based system for screening and management of DME»Galdran, A., Chakor, H., Kabir, W., Kobbi, R., Liu, B., Dolz, J. and Ben Ayed, I..” |
«Calibrating segmentation networks with margin-based label smoothing»Murugesan, Balamurali, Liu, Bingyuan, Galdran, Adrian, Ayed, Ismail Ben and Dolz, Jose.” |
«Segmentation with mixed supervision: Confidence maximization helps knowledge distillation»Liu, Bingyuan, Desrosiers, Christian, Ben Ayed, Ismail and Dolz, Jose.” |
«Source-free domain adaptation for image segmentation»Bateson, Mathilde, Kervadec, Hoel, Dolz, Jose, Lombaert, Hervé and Ben Ayed, Ismail.” |
«Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty»Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger” |
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+ Papers in refereed conference proceedings
«TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos»Belharbi, Soufiane, Ben Ayed, Ismail, McCaffrey, Luke and Granger, Eric.” |
«Negative evidence matters in interpretable histology image classification»Belharbi, Soufiane, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke and Granger, Éric.” |
«Towards practical few-shot query sets: Transductive minimum description length inference»Martin, Ségolène, Boudiaf, Malik, Chouzenoux, Emilie, Pesquet, Jean-Christophe and Ben Ayed, Ismail.” |
«TTTFlow: Unsupervised Test-Time Training with Normalizing Flow»Osowiechi, David, Vargas Hakim, Gustavo A., Noori, Mehrdad, Cheraghalikhani, Milad, Ayed, Ismail Ben and Desrosiers, Christian.” |
«Constrained deep networks: Lagrangian optimization via Log-barrier extensions»Kervadec, H., Dolz, J., Yuan, J., Desrosiers, C., Granger, E. and Ben Ayed, I..” |
Ismail
Ben Ayed
Research & Innovation
Contact Us
Pavillon Principal (A)
1100, rue Notre-Dame Ouest
Montréal, QC, H3C 1K3
Room A-3600
Tel.: +1 (514) 396-8650
E-Mail: eric.granger@etsmtl.ca