L'ÉTS vous donne rendez-vous à sa journée portes ouvertes qui aura lieu sur son campus à l'automne et à l'hiver : Samedi 18 novembre 2023 Samedi 17 février 2024 Le dépôt de votre demande d'admission à un programme de baccalauréat ou au cheminement universitaire en technologie sera gratuit si vous étudiez ou détenez un diplôme collégial d'un établissement québécois.
En codirection avec : Pablo Piantanida Molecular Representation and Few Shot Adaptation for Drug Discovery, par Philippe Formont Hiver 2025
En codirection avec : Éric Granger Flexible and Scalable Models For Clustering and Few-Shot Learning, par Imtiaz Masud Ziko Été 2020
En codirection avec : Jose Dolz Test Time Adaptation and Train Time Generalization, par Balamurali Murugesan Hiver 2025
En codirection avec : Éric Granger Constrained Deep Networks for Medical Image Segmentation, par Hoel Kervadec Hiver 2021
En codirection avec : Houda Bahig Foundation Models and Adaptation Methods for Medical Image Analysis, par Ghassen Baklouti Hiver 2025
En codirection avec : Jose Dolz Méthodes d’apprentissage faiblement supervisées pour l'exploitation d'images faiblement annotées et de textes cliniques, par Damien Djomby Hiver 2025
En codirection avec : Christian Desrosiers Realistic Few-Shot Learning for Computer Vision, par Gustavo Adolfo Vargas Hakim Hiver 2025
En codirection avec : Christian Desrosiers 6D Object Pose Estimation Based on Deep Learning, par Ali Bahri Hiver 2025
En codirection avec : Christian Desrosiers Zero-Shot 6DOF Pose Estimation using deep learning, par Moslem Yazdanpanah Hiver 2025
En codirection avec : Hervé Lombaert Domain Adaptation with Missing Data for Medical Image Segmentation, par Mathilde Bateson Été 2023
En codirection avec : Marco Pedersoli Learning Visual Recognition Models with Limited Data, par Saypraseuth Mounsaveng Automne 2023
En codirection avec : Éric Granger Optimization Problems for Deep Neural Networks, par Jérôme Rony Été 2023
En codirection avec : Pablo Piantanida Transductive Few-shot Learning, par Malik Boudiaf Été 2023
Learning Generalizable Representations for Medical Imaging Tasks, par Fereshteh Shakeri Hiver 2025
En codirection avec : Christian Desrosiers Computer Vision Methods Adapting to New Domains with few Samples, par David Osowiechi Hiver 2025
En codirection avec : Christian Desrosiers Vision-Based Unseen Domain Generalization using Deep Learning, par Mehrdad Noori Hiver 2025
En codirection avec : Jose Dolz Generalized Few-Shot Learning, par Seyed Mohammadsina Hajimiri Hiver 2025
En codirection avec : Houda Bahig La vraie utilité de l’adaptation des paramètres des couches de normalisation d’un CNN en Fully Test Time Adaptation, par Ghassen Baklouti Été 2023
Segmentation automatique de la colonne vertébrale lombaire à partir d'images à résonance magnétique par combinaison de réseau de neurones convolutifs et coupe de graphe, par Firas Ben Dhaou Été 2019
En codirection avec : Éric Granger Feed-Forward Weakly Supervised Deep Learning Models for Breast Cancer Diagnosis from Histological Images, par Jérôme Rony Été 2019
Évaluation réaliste de l’apprentissage Few-Shot transductif, par Olivier Veilleux Hiver 2022
En codirection avec : Jose Dolz Segmentation d’images médicales semi-supervisée par curriculum via l’inférence des boîtes englobantes, par Bruce Cyusa Mukama Automne 2021
En codirection avec : Hadi Chakor Segmentation des vaisseaux sanguins de la rétine dans des images de fond, par Nihel Njeh Lajmi Cherif Automne 2020
En codirection avec : Houda Bahig Segmentation multi-modale du cancer de la sphère ORL à l’aide de CNNs en 3D, par Adnane Bechri Automne 2020
En codirection avec : Patrick Meyer « Natural Language Generation » et « Natural Language Understanding » pour les assistants conversationnels, par Julien Kintzinger Été 2020
Publications
Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max Law, Ali Islam, Aashish Goela, Terry Peters, Shuo Li. 2017-08-29 « Automating Cardiac Disease Detection ». Substance ÉTS
Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max Law, Ali Islam, Aashish Goela, Terry Peters, Shuo Li. 2017-08-29 « Automatiser le dépistage des maladies cardiaques ». Substance ÉTS
Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida. 2023 « Adversarial robustness via Fisher-Rao Regularization ». IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 45 , nº 3. p. 2698-2710
Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger. 2021 « Exploiting prunability for person re-identification ». EURASIP Journal on Image and Video Processing vol. 2021 , nº 1
Shanshan Wang, Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Jie Chen, Huihui Zhou, Ismail Ben Ayed, Hairong Zheng. 2021 « Annotation-efficient deep learning for automatic medical image segmentation ». Nature Communications vol. 12 , nº 1
Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Y. Boykov. 2019 « Kernel clustering: density biases and solutions ». IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 41 , nº 1. p. 136-147
Li Wang, Dong Nie, Li Guannan, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jia-Wei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen. 2019 « Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge ». IEEE Transactions on Medical Imaging vol. 38 , nº 9. p. 2219-2230
Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero, Pierrick Coupé, José V. Manjón, Vladimir S. Fonov, D. Louis Collins, Sarah H. Ying, Chiadi U. Onyike, Deana Crocetti, Bennett A. Landman, Stewart H. Mostofsky, Paul M. Thompson, Jerry L. Prince. 2018 « Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images ». NeuroImage vol. 183. p. 150-172
Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong. 2017 « Local submodularization for binary pairwise energies ». IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 39 , nº 10. p. 1985-1999
Seyed-Parsa Hojjat, Ismail Ayed, Gregory J. Garvin, Kumaradevan Punithakumar. 2017 « Spine labeling in MRI via regularized distribution matching ». International Journal of Computer Assisted Radiology and Surgery vol. 12 , nº 11. p. 1911-1922
Caroline Petitjean, Maria A. Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, Jérôme Caudron, Su Ruan, Ismail Ben Ayed, M. Jorge Cardoso, Hsiang-Chou Chen, Daniel Jimenez-Carretero, Maria J. Ledesma-Carbayo, Christos Davatzikos, Jimit Doshi, Guray Erus, Oskar M. O. Maier, Cyrus M. S. Nambakhsh, Yangming Ou, Sébastien Ourselin, Chun-Wei Peng, Nicholas S. Peters, Terry M. Peters, Martin Rajchl, Daniel Rueckert, Andres Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan. 2015 « Right ventricle segmentation from cardiac MRI: a collation study ». Medical Image Analysis vol. 19 , nº 1. p. 187-202
Mohamed Ben Salah, Ismail Ben Ayed, Amar Mitiche. 2012 « Active curve recovery of region boundary patterns ». IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 34 , nº 5. p. 834-849
Ismail Ben Ayed, Shuo Li, Ian Ross, Ali Islam. 2009 « Myocardium tracking via matching distributions ». International Journal of Computer Assisted Radiology and Surgery vol. 4 , nº 1. p. 37-44
Ismail Ben Ayed, Dmitry Pavlov, Kumaradevan Punithakumar, Seyed-Parsa Hojjat, Gregory Garvin. 2018-02-06 « Methods and apparatus to label radiology images ». Brevet américain US 9,886,546.
Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox. 2016 « Shape distances for binary image segmentation ». In Perspectives in Shape Analysis. p. 137-154. Springer Heidelberg
Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov. 2015 « Secrets of GrabCut and Kernel K-Means ». Communication lors de la conférence : IEEE International Conference on computer vision (Santiago, Chile, Dec. 11-18, 2015)
Yuri Boykov, Ismail Ben Ayed, Daniel Cremers, Milan Sonka. 2014 « Medical image segmentation: beyond level-sets (MICCAI 2014 Tutorial) ». Communication lors de la conférence : Medical Image Computing and Computer Assited Intervention Conference (MICCAI 2014) (Cambridge, MA, USA, Sept. 14-18, 2014)
Balamurali Murugesan, Julio Silva-Rodríguez, Ismail ben Ayed, Jose Dolz. 2025 « Robust calibration of large vision-language adapters ». Computer Vision – ECCV 2024 : 18th European Conference, 2024, Proceedings, Part XXI (Milan, Italy, Sept. 29-Oct. 04, 2024) Springer
Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed. 2024 « LP plus plus : A surprisingly strong linear probe for few-shot CLIP ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Seattle, WA, USA, June 16-22, 2024) Institute of Electrical and Electonics Engineers Inc.
Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed. 2024 « Bag of tricks for fully test-time adaptation ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2024) Institute of Electrical and Electronics Engineers Inc.
Balamurali Murugesan, Julio Silva-Rodriguez, Ismail Ben Ayed, Jose Dolz. 2024 « Class and region-adaptive constraints for network calibration ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 : 27th International Conference, Proceedings, Part VIII (Marrakesh, Morocco, Oct. 06-10, 2024) Springer
David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers. 2024 « NC-TTT: A noise constrastive approach for test-time training ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Seattle, WA, USA, June 16-22, 2024) Institute of electrical and Electonics Engineers Inc.
Fereshteh Shakeri, Yunshi Huang, Julio Silva-Rodríguez, Houda Bahig, An Tang, José Dolz, Ismail Ben Ayed. 2024 « Few-shot adaptation of medical vision-language models ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 : 27th International Conference, Proceedings, Part XII (Marrakesh, Morocco, Oct. 06-10, 2024) Springer
Julio Silva-Rodriguez, Sina Hajimiri, Ismail Ben Ayed, José Dolz. 2024 « A closer look at the few-shot adaptation of large vision-language models ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Seattle, WA, USA, June 16-22, 2024) Institute of Electrical and Electonics Engineers Inc.
Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Celine Hudelot, Ismail Ben Ayed. 2023 « Open-set likelihood maximization for few-shot learning ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) Institute of Electrical and Electonics Engineers Inc.
Florent Chiaroni, Jose Dolz, Ziko Imtiaz Masud, Amar Mitiche, Ismail Ben Ayed. 2023 « Parametric information maximization for generalized category discovery ». IEEE/CVF International Conference on Computer Vision (ICCV) (Paris, France, Oct. 01-06, 2023) Institute of Electrical and Electronics Engineers Inc.
Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Celine Hudelot, Pablo Piantanida. 2023 « Transductive learning for textual few-shot classification in API-based embedding models ». Conference on Empirical Methods in Natural Language Processing (EMNLP) (Singapore, Singapore, Dec. 06-10, 2023) Association for Computational Linguistics (ACL)
Gustavo A. Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Ismail Ben Ayed, Christian Desrosiers. 2023 « ClusT3: Information invariant test-time training ». IEEE/CVF International Conference on Computer Vision (ICCV) (Paris, France, Oct. 01-06, 2023) Institute of Electrical and Electronics Engineers Inc.
Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed. 2023 « Class adaptive network calibration ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) IEEE Computer Society
Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz. 2023 « Trust your neighbours: Penalty-based constraints for model calibration ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 : 26th International Conference, Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023) Springer Science and Business Media Deutschland GmbH
David Osowiechi, Gustavo A. Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers. 2023 « TTTFlow: Unsupervised Test-Time Training with Normalizing Flow ». IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023) Institute of Electrical and Electronics Engineers Inc.
Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed. 2023 « Proximal splitting adversarial attack for semantic segmentation ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) Institute of electrical and Electonics Engineers Inc.
Julio Silva-Rodríguez, José Dolz, Ismail Ben Ayed. 2023 « Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops : ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023 : Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023) Springer Science and Business Media
Mathilde Bateson, Herve Lombaert, Ismail Ben Ayed. 2022 « Test-time adaptation with shape moments for image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference : Proceedings Part IV (Singapore, Singapore, Sept. 18-22, 2022) Springer Science and Business Media Deutschland GmbH
Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2022 « F-CAM: Full resolution class activation maps via guided parametric upscaling ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2022) Institute of Electrical and Electronics Engineers Inc.
Malik Boudiaf, Romain Mueller, Ismail Ben Ayed, Luca Bertinetto. 2022 « Parameter-free online test-time adaptation ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed. 2022 « Towards practical few-shot query sets: Transductive minimum description length inference ». Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (New Orleans, LA, USA, Nov. 28-Dec. 09, 2022) Neural information processing systems foundation
Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz. 2021 « On the texture bias for few-shot CNN segmentation ». IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021) Institute of Electrical and Electronics Engineers
Saypraseuth Mounsaveng, Issam Laradji, Ismail Ben Ayed, David Vazquez, Marco Pedersoli. 2021 « Learning data augmentation with online bilevel optimization for image classification ». IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021) Institute of Electrical and Electronics Engineers Inc.
Jerome Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed. 2021 « Augmented Lagrangian Adversarial Attacks ». 18th IEEE/CVF International Conference on Computer Vision (ICCV) (Montreal, QC, Canada - en ligne, Oct. 10-17, 2021) Institute of Electrical and Electronics Engineers Inc.
Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed. 2021 « Realistic evaluation of transductive few-shot learning ». Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (Sydney, Australia, Dec. 06-14, 2021) Neural information processing systems foundation
I. M. Ziko, J. Yuan, E. Grangers, I. Ben Ayed, Intelligence Assoc Advancement Artificial. 2021 « Variational fair clustering ». 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence (En ligne, Feb. 02-09, 2021) Association for the Advancement of Artificial Intelligence
Mathilde Bateson, Hoel Kervadec, José Dolz, Hervé Lombaert, Ismail Ben Ayed. 2020 « Source-relaxed domain adaptation for image segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I (Lima, Peru, Oct. 04-08, 2020) Springer Science and Business Media Deutschland GmbH
Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Éric Granger. 2020 « Pose guided gated fusion for person re-identification ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Snowmass Village, CO, USA, Mar. 01-05, 2020) Institute of Electrical and Electronics Engineers Inc.
Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed. 2020 « Transductive information maximization for few-shot learning ». Neural Information Processing Systems Online Conference (NeuroIPS) (En ligne, Dec. 06-12, 2020)
Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed. 2020 « A unifying mutual information view of metric learning: Cross-entropy vs. Pairwise losses ». Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020) Springer
Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed. 2020 « Cost-sensitive regularization for diabetic retinopathy grading from eye fundus images ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V (Lima, Peru, Oct. 04-08, 2020) Springer International Publishing
Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed. 2020 « Laplacian regularized few-shot learning ». 37th International Conference on Machine Learning (ICML) (En ligne, July 12-18, 2020)
Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed. 2019 « Constrained domain adaptation for segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct. 13-17, 2019) Springer
Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2019 « Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities ». Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I (Granada, Spain, Sept. 16-20, 2018) Springer
Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2019 « IVD-Net: intervertebral disc localization and segmentation in MRI with a multi-modal UNet ». Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, CSI 2018, Held in Conjonction with MICCAI 2018. Revised Selected Papers (Granada, Spain, Sept. 16, 2018) Springer Verlag
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed. 2019 « Boundary loss for highly unbalanced segmentation ». 2nd International Conference on Medical Imaging with Deep Learning (MIDL) (London, England, July 08-10, 2019) PMLR
Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed. 2019 « Curriculum semi-supervised segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct 13-17, 2019) Springer
Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov. 2019 « Beyond gradient descent for regularized segmentation losses ». 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Long Beach, CA, USA, June 15-20, 2019) IEEE
Hoel Kervadec, Jose Dolz, Meng Tang, Éric Granger, Yuri Boykov, Ismail Ben Ayed. 2018 « Constrained-CNN losses for weakly supervised segmentation ». 1st Conference on Medical Imaging with Deep Learning (MIDL 2018) (Amsterdam, Netherlands, July 4-6, 2018)
Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov. 2018 « On regularized losses for weakly-supervised CNN segmentation ». Computer Vision – ECCV 2018 : 15th European Conference : Proceedings (Munich, Germany, Sept. 08-14, 2018) Springer
Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed. 2018 « Scalable Laplacian K-modes ». Advances in Neural Information Processing Systems 31 (NeurIPS 2018) (Montreal, QC, Canada, Dec. 02-08, 2018) Neural Information Processing Systems (NIPS)
Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2017 « DOPE: distributed optimization for pairwise energies ». IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Honolulu, HI, USA, July 21-26, 2017) IEEE Computer Society
Jose Dolz, Ismail Ben Ayed, Christian Desrosiers. 2017 « Unbiased shape compactness for segmentation ». Medical Image Computing and Computer-Assisted Intervention : MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017 : Proceedings : Part I (Quebec City, QC, Canada, Sept. 11-13, 2017) Springer Verlag
Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov. 2015 « Secrets of GrabCut and Kernel K-Means ». 2015 IEEE International Conference on Computer Vision (ICCV) (Santiago, Chile, Dec. 7-13, 2015) IEEE Computer Society
Ismail Ben Ayed, Michael Wang, Brandon Miles, Gregory J. Garvin. 2014 « TRIC: Trust region for invariant compactness and its application to abdominal aorta segmentation ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part I (Boston, MA, USA, Sept. 14-18, 2014) Springer Verlag
Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong. 2014 « Submodularization for binary pairwise energies ». 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Columbus, OH, USA, June 23-28, 2014) IEEE
Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed. 2014 « Direct estimation of dense scene flow and depth from a monocular sequence ». Advances in Visual Computing : 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I (Cham, Switzerland, Dec. 8-10, 2014) Springer International Publishing
Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li. 2014 « Detecting left ventricular impaired relaxation using MR imaging ». 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014 (Valencia, Spain, June 1-4, 2014) IEEE Computer Society
Meng Tang, Ismail Ben Ayed, Yuri Boykov. 2014 « Pseudo-bound optimization for binary energies ». Computer Vision – ECCV 2014. 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V (Zurich, Switzerland, Sept. 6-12, 2014) Springer International Publishing
Ismail Ben Ayed, Lena Gorelick, Yuri Boykov. 2013 « Auxiliary cuts for general classes of higher order functionals ». 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Portland, OR, USA, June 23-28, 2013) IEEE Computer Society
Cyrus M. S. Nambakhsh, Terry M. Peters, Ali Islam, Ismail Ben Ayed. 2013 « Right ventricle segmentation with probability product kernel constraints ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part III (Nagoya, Japan, Sept. 22-26, 2013) Springer Verlag
Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Terry M. Peters, Shuo Li. 2012 « Global assessment of cardiac function using image statistics in MRI ». Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012. Proceedings 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II (Berlin, Germany, Oct. 1-5, 2012) Springer Verlag
Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian Ross, Terry Peters, Shuo Li. 2012 « Estimation of the cardiac ejection fraction from image statistics ». 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Proceedings (Barcelona, Spain, May 2-5, 2012) IEEE Computer Society
Ismail Ben Ayed, Kumaradevan Punithakumar, Rashid Minhas, Rohit Joshi, Gregory J. Garvin. 2012 « Vertebral body segmentation in MRI via convex relaxation and distribution matching ». Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 : 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I (Berlin, Germany, Oct. 1-5, 2012) Springer Verlag
M. Ben Salah, I. Ben Ayed, J. Yuan, Z. Wang, H. Zhang. 2012 « Convex relaxation for image segmentation by kernel mapping ». 2012 19th IEEE International Conference on Image Processing (ICIP 2012) (Orlando, FL, USA, Sept. 30-Oct. 3, 2012) IEEE
Ines Njeh, Ismail Ben Ayed, Ahmed Ben Hamida. 2012 « A distribution-matching approach to MRI brain tumor segmentation ». 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Proceedings (Barcelona, Spain, May 2-5, 2012) IEEE Computer Society
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Shuo Li. 2012 « Regional heart motion abnormality detection via multiview fusion ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II (Nice, France, Oct. 1-5, 2012) Springer Verlag
Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Ian Ross, Terry Peters, Shuo Li. 2011 « Assessment of regional myocardial function via statistical features in MR images ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III (Toronto, ON, Canada, Sept. 18-22, 2011) Springer Verlag
Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar, Aashish Goela, Ali Islam, Terry Peters, Shuo Li. 2011 « A convex max-flow segmentation of LV using subject-specific distributions on cardiac MRI ». Information Processing in Medical Imaging. 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings (Kloster Irsee, Germany, July 3-8, 2011) Springer Verlag
Ismail Ben Ayed, Amar Mitiche, Mohamed Ben Salah, Shuo Li. 2010 « Finding image distributions on active curves ». 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (San Francisco, CA, USA, June 13-18, 2010) IEEE
M. Ben Salah, A. Mitiche, I. Ben Ayed. 2010 « Image partitioning with kernel mapping and graph cuts ». 2010 Proceedings of 17th IEEE International Conference on Image Processing (ICIP 2010) (Hong Kong, China, Sept. 26-29, 2010) IEEE
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li. 2010 « Regional heart motion abnormality detection via information measures and unscented Kalman filtering ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I (Beijing, China, Sept. 20-24, 2010) Springer Verlag
Ismail Ben Ayed, Shuo Li, Ian Ross. 2009 « Level set image segmentation with a statistical overlap constraint ». Information Processing in Medical Imaging. 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings (Williamsburg, VA, USA, July 5-10, 2009) Springer Verlag
Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Ali Islam, Jaron Chong. 2009 « Left ventricle segmentation via graph cut distribution matching ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II (London, UK, Sept. 20-24, 2009) Springer Verlag
M. Ben Salah, A. Mitiche, I. Ben Ayed. 2009 « Image segmentation in a kernel-induced space ». Proceedings of the 2009 16th IEEE International Conference on Image Processing (ICIP 2009) (Cairo, Egypt, Nov. 7-10, 2009) IEEE
Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian Ross, Ali Islam, Jaron Chong. 2009 « Heart motion abnormality detection via an information measure and bayesian filtering ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II (London, UK, Sept. 20-24, 2009) Springer Verlag
Ismail Ben Ayed, Shuo Li, Ian Ross. 2008 « Tracking distributions with an overlap prior ». 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Anchorage, AK, USA, June 23-28, 2008) IEEE
Ismail Ben Ayed, Amar Mitiche. 2008 « Merging active contours ». Advances in Visual Computing. 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part II (Las Vegas, NV, USA, Dec. 1-3, 2008) Springer Verlag
Ismail Ben Ayed, Lu Yingli, Shuo Li, Ian Ross. 2008 « Left ventricle tracking using overlap priors ». Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I (Berlin, Germany, Sept. 6-10, 2008) Springer-Verlag
Mohamed Ben Salah, Ismail Ben Ayed, Amar Mitiche. 2008 « Multiregion graph cut image segmentation ». VISAPP 2008 - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1 (Funchal, Portugal, Jan. 22-25, 2008) Institute for Systems and Technologies of Information, Control and Communication
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed. 2008 « A continuous labeling for multiphase graph cut image partitioning ». Advances in Visual Computing. Proceedings 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part I (Berlin, Germany, Dec. 1-3, 2008) Springer-Verlag
Ismail Ben Ayed, Carlos Vázquez, Amar Mitiche, Ziad Belhadj. 2004 « SAR image segmentation with active contours and level sets ». 2004 International Conference on Image Processing, 2004. ICIP '04 (Singapore, Singapore, Oct. 24-27, 2004) IEEE