Ismail Ben Ayed

Professeur

Département

Département de génie des systèmes

Formation

B.Ing., M.Sc.A. (Sup'Com, Tunis), Ph.D. (INRS-EMT)

Bureau

A-3596

Courriel

Ismail.BenAyed@etsmtl.ca

Professeur souriant, bras croisés, pull bleu, fond neutre.

Unités de recherche

Visiter le site web de : LIO-ÉTS – Laboratoire d'innovation ouverte en technologies de la santé
Visiter le site web de : LIVIA – Laboratoire d'imagerie, de vision et d'intelligence artificielle

Axes de recherche

Technologies de la santé
Systèmes intelligents et autonomes

Expertises

Vision artificielle
Apprentissage machine
Algorithmes d’optimization
Analyse d’images médicales

Cours

4 crédits Hiver 2024

4 crédits Automne 2024

Encadrements

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

En codirection avec : Pablo Piantanida
Molecular Representation and Few Shot Adaptation for Drug Discovery, par Philippe Formont
Automne 2024
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
Automne 2024
En codirection avec : Jose Dolz
Constrained Deep Networks for Medical Image Segmentation, par Hoel Kervadec
Hiver 2021
En codirection avec : Christian Desrosiers
Realistic Few-Shot Learning for Computer Vision, par Gustavo Adolfo Vargas Hakim
Automne 2024
En codirection avec : Christian Desrosiers
6D Object Pose Estimation Based on Deep Learning, par Ali Bahri
Automne 2024
En codirection avec : Christian Desrosiers
Zero-Shot 6DOF Pose Estimation using deep learning, par Moslem Yazdanpanah
Automne 2024
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
Automne 2024
En codirection avec : Christian Desrosiers
Computer Vision Methods Adapting to New Domains with few Samples, par David Osowiechi
Automne 2024
En codirection avec : Christian Desrosiers
Vision-Based Unseen Domain Generalization using Deep Learning, par Mehrdad Noori
Automne 2024
En codirection avec : Jose Dolz
Generalized Few-Shot Learning, par Seyed Mohammadsina Hajimiri
Automne 2024

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

Milad Cheraghalikhani, Mehrdad Noori, David Osowiechi, Gustavo A. Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers. 2024 « Structure-aware feature stylization for domain generalization ». Computer Vision and Image Understanding vol. 244
Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed. 2024 « Simplex clustering via sBeta with applications to online adjustment of black-box predictions ». IEEE Transactions on Pattern Analysis and Machine Intelligence
Shengziang Deng, Ismail Ben Ayed, Hongpeng Sun. 2024 « A preconditioned alternating minimization framework for nonconvex and half quadratic regularization ». Inverse Problems and Imaging vol. 18 , nº 4. p. 1024-1051
Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed. 2024 « Do we really need dice? The hidden region-size biases of segmentation losses ». Medical Image Analysis vol. 91
Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo A. Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers. 2024 « TFS-ViT: Token-level feature stylization for domain generalization ». Pattern Recognition vol. 149
Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz. 2023 « Segmentation with mixed supervision: Confidence maximization helps knowledge distillation ». Medical Image Analysis vol. 83
Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz. 2023 « Calibrating segmentation networks with margin-based label smoothing ». Medical Image Analysis vol. 87
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
Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed. 2022 « Source-free domain adaptation for image segmentation ». Medical Image Analysis vol. 82
Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2022 « Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty ». IEEE Transactions on Medical Imaging vol. 41 , nº 3. p. 702-714
A. Galdran, H. Chakor, W. Kabir, R. Kobbi, B. Liu, J. Dolz, I. Ben Ayed. 2022 « An automatic deep learning-based system for screening and management of DME ». Diabetes Research and Clinical Practice vol. 186 , nº Suppl. 1. p. 4-5
Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed. 2022 « State-of-the-art retinal vessel segmentation with minimalistic models ». Scientific Reports vol. 12 , nº 1
M. Bateson, J. Dolz, H. Kervadec, H. Lombaert, I. Ben Ayed. 2021 « Constrained domain adaptation for image segmentation ». IEEE Transactions on Medical Imaging vol. 40 , nº 7. p. 1875-1887
Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed. 2021 « Deep clustering: On the link between discriminative models and K-means ». IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 43 , nº 6. p. 1887-1896
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, José Dolz, Ismail Ben Ayed. 2021 « Boundary loss for highly unbalanced segmentation ». Medical Image Analysis vol. 67
Madhu Kiran, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Ismail Ben Ayed, Eric Granger. 2021 « Flow guided mutual attention for person re-identification ». Image and Vision Computing vol. 113
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
Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed. 2020 « Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation ». Computerized Medical Imaging and Graphics vol. 79
Adrian Galdran, Jihed Chelbi, Riadh Kobi, José Dolz, Hervé Lombaert, Ismail Ben Ayed, Hadi Chakor. 2020 « Non-uniform label smoothing for diabetic retinopathy grading from retinal fundus images with deep neural networks ». Translational Vision Science and Technology vol. 9 , nº 2
Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers. 2020 « Discretely-constrained deep network for weakly supervised segmentation ». Neural Networks vol. 130. p. 297-308
Kumaradevan Punithakumar, Ismail Ben Ayed, Abraam S. Soliman, Aashish Goela, Ali Islam, Shuo Li, Michelle Noga. 2020 « 3D motion estimation of left ventricular dynamics using MRI and track-to-track fusion ». IEEE Journal of Translational Engineering in Health and Medicine vol. 8
Ruobing Shen, Bo Tang, Andrea Lodi, Andrea Tramontani, Ismail Ben Ayed. 2020 « An ILP model for multi-label MRFs with connectivity constraints ». IEEE Transactions on Image Processing vol. 29. p. 6909-6917
Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed. 2019 « HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation ». IEEE Transactions on Medical Imaging vol. 38 , nº 5. p. 1116-1126
Adrian Galdran, Hadi Chakor, Abdulaziz Abdulaziz, Ryad Kobbi, Argyrios Christodoulidis, Jihed Chelbi, Marc-André Racine, Ismail Ben Ayed. 2019 « Automatic classification and triage of diabetic retinopathy from retinal images based on a convolutional neural networks (CNN) method ». Acta Ophthalmologica vol. 97. p. 2
Hoel Kervadec, Jose Dolz, Meng Tang, Éric Granger, Yuri Boykov, Ismail Ben Ayed. 2019 « Constrained-CNN losses for weakly supervised segmentation ». Medical Image Analysis vol. 54. p. 88-99
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
Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov. 2019 « Kernel cuts: Kernel and spectral clustering meet regularization ». International Journal of Computer Vision vol. 127 , nº 5. p. 477-511
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
Xiaopan Xu, Xi Zhang, Qian Tian, Huanjun Wang, Long-Biao Cui, Shurong Li, Xing Tang, Baojun Li, Jose Dolz, Ismail Ben Ayed, Zhengrong Liang, Jing Yuan, Peng Du, Hongbing Lu, Yang Liu. 2019 « Quantitative identification of nonmuscle-invasive and muscle-invasive bladder carcinomas: a multiparametric MRI radiomics analysis ». Journal of Magnetic Resonance Imaging vol. 49 , nº 5. p. 1489-1498
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
Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2018 « 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study ». NeuroImage vol. 170. p. 456-470
Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Éric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu. 2018 « Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks ». Medical Physics vol. 45 , nº 12. p. 5482-5493
Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz. 2017 « Esophagus segmentation in CT via 3D fully convolutional neural network and random walk ». Medical Physics vol. 44 , nº 12. p. 6341-6352
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
Byong jun Hwang, Jinchang Ren, Samuel McCormack, Craig Berry, Ismail Ben Ayed, Hans C. Graber, Erchan Aptoula. 2017 « A practical algorithm for the retrieval of floe size distribution of Arctic sea ice from high-resolution satellite Synthetic Aperture Radar imagery ». Elementa : Science of Anthropocene vol. 5
Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed. 2017 « Regularised differentiation for image derivatives ». IET Image Processing vol. 11 , nº 5. p. 310-316
Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed. 2016 « Monocular, boundary-preserving joint recovery of scene flow and depth ». Frontiers in ICT vol. 3
Brandon Miles, Ismail Ben Ayed, Seyed-Parsa Hojjat, Michael H. Wang, Shuo Li, Aaron Fenster, Gregory J. Garvin. 2016 « Spine labeling in axial magnetic resonance imaging via integral kernels ». Computerized Medical Imaging and Graphics vol. 54. p. 27-34
Kumaradevan Punithakumar, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li, Pierre Boulanger, Harald Becher, Michelle Noga. 2016 « Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences ». Computer Methods and Programs in Biomedicine vol. 124. p. 58-66
Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li. 2015 « Distribution matching with the Bhattacharyya similarity: a bound optimization framework ». IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 37 , nº 9. p. 1777-1791
Amar Mitiche, Yosra Mathlouthi, Ismail Ben Ayed. 2015 « Monocular concurrent recovery of structure and motion scene flow ». Frontiers in ICT vol. 2
Ines Njeh, Lamia Sallemi, Ismail Ben Ayed, Khalil Chtourou, Stephane Lehericy, Damien Galanaud, Ahmed Ben Hamida. 2015 « 3D multimodal MRI brain glioma tumor and edema segmentation: a graph cut distribution matching approach ». Computerized Medical Imaging and Graphics vol. 40. p. 108-119
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
Kumaradevan Punithakumar, Michelle Noga, Ismail Ben Ayed, Pierre Boulanger. 2015 « Right ventricular segmentation in cardiac MRI with moving mesh correspondences ». Computerized Medical Imaging and Graphics vol. 43. p. 15-25
Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max Law, Ali Islam, Aashish Goela, Terry Peters, Shuo Li. 2014 « Regional assessment of cardiac left ventricular myocardial function via MRI statistical features ». IEEE Transactions on Medical Imaging vol. 33 , nº 2. p. 481-494
Mohamed Ben Salah, Ismail Ben Ayed, Yuan Jing, Zhang Hong. 2014 « Convex-relaxed kernel mapping for image segmentation ». IEEE Transactions on Image Processing vol. 23 , nº 3. p. 1143-1153
Brandon Miles, Ismail Ben Ayed, Max W. K. Law, Greg Garvin, Aaron Fenster, Shuo Li. 2013 « Spine image fusion via graph cuts ». IEEE Transactions on Biomedical Engineering vol. 60 , nº 7. p. 1841-1850
Cyrus M. S. Nambakhsh, Yuan Jing, Kumaradevan Punithakumar, Aashish Goela, Martin Rajchl, Terry M. Peters, Ismail Ben Ayed. 2013 « Left ventricle segmentation in MRI via convex relaxed distribution matching ». Medical Image Analysis vol. 17 , nº 8. p. 1010-1024
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Jaron Chong, Shuo Li. 2013 « Regional heart motion abnormality detection: An information theoretic approach ». Medical Image Analysis vol. 17 , nº 3. p. 311-324
Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian Ross, Shuo Li. 2012 « Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure ». Medical Image Analysis vol. 16 , nº 1. p. 87-100
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
Kumaradevan Punithakumar, Jing Yuan, Ismail Ben Ayed, Shuo Li, Yuri Boykov. 2012 « A convex max-flow approach to distribution-based figure-ground separation ». SIAM Journal on Imaging Sciences vol. 5 , nº 4. p. 1333-1354
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed. 2011 « Multiregion image segmentation by parametric kernel graph cuts ». IEEE Transactions on Image Processing vol. 20 , nº 2. p. 545-557
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed. 2010 « Effective level set image segmentation with a kernel induced data term ». IEEE Transactions on Image Processing vol. 19 , nº 1. p. 220-232
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li. 2010 « Tracking endocardial motion via multiple model filtering ». IEEE Transactions on Biomedical Engineering vol. 57 , nº 8. p. 2001-2010
Kumaradevan Punithakumar, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong, Shuo Li. 2010 « Detection of left ventricular motion abnormality via information measures and Bayesian filtering ». IEEE Transactions on Information Technology in Biomedicine vol. 14 , nº 4. p. 1106-1113
Ismail Ben Ayed, Shuo Li, Ian Ross. 2009 « A statistical overlap prior for variational image segmentation ». International Journal of Computer Vision vol. 85 , nº 1. p. 115-132
Ismail Ben Ayed, Shuo Li, Ian Ross. 2009 « Embedding overlap priors in variational left ventricle tracking ». IEEE Transactions on Medical Imaging vol. 28 , nº 12. p. 1902-1913
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, Amar Mitiche. 2008 « A region merging prior for variational level set image segmentation ». IEEE Transactions on Image Processing vol. 17 , nº 12. p. 2301-2311
Ismail Ben Ayed, Nacera Hennane, Amar Mitiche. 2006 « Unsupervised variational image segmentation/classification using a weibull observation model ». IEEE Transactions on Image Processing vol. 15 , nº 11. p. 3431-3439
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj. 2006 « Polarimetric image segmentation via maximum-likelihood approximation and efficient multiphase level-sets ». IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 28 , nº 9. p. 1493-1500
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj. 2005 « Multiregion level-set partitioning of synthetic aperture radar images ». IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 27 , nº 5. p. 793-800

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.
Ismail Ben Ayed, Kumaradevan Punithakumar, Seyed-parsa Hojjat, Gregory Garvin. 2015-06-23 « Methods and apparatus to generate three-dimensional spinal renderings ». Brevet américain US 9,064,307.
Ismail Ben Ayed, Kumaradevan Punithakumar, Sukhdeep Gill, Gregory John Garvin. 2015-02-24 « Automatic detection of vertebrae boundaries in spine images ». Brevet américain US 8,965,083.
Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian Ross, Ali Islam, Richard Rankin. 2014-08-19 « Methods, apparatus and articles of manufacture to track endocardial motion ». Brevet américain US 8,811,705.
Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian Ross, Ali Islam, Richard Rankin. 2013-07-02 « Methods, apparatus and articles of manufacture to process cardiac images to detect heart motion abnormalities ». Brevet américain US 8,478,012.
Shuo Li, Ismail Ben Ayed, Ian Ross, Richard Rankin. 2012-03-27 « Systems and methods for tracking images ». Brevet américain US 8,144,930.

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
Ismail Ben Ayed. 2014 « Distribution matching approaches to medical image segmentation ». In Computer Vision in Medical Imaging. p. 19-33. World Scientific Publishing Co. Pte. Ltd.

Ismail Ben Ayed, Christian Desrosiers, Jose Dolz. 2019 « Tutorial : Weakly supervised CNN segmentation: Models and optimization ». Communication lors de la conférence : Medical Image Computing and Computer Assisted Intervention (MICCAI) (Shenzen, China, Oct. 13-17, 2019)
Ismail Ben Ayed. 2015 « Optimisation et apprentissage pour l'analyse d'images médicales ». Communication lors de la conférence : Centre de recherche du Centre hospitalier de l’Université de Montréal (CRCHUM) (Montréal, QC, Canada, Nov. 2015)
Yuri Boykov, Hossam Isack, Carl Olsson, Ismail Ben Ayed. 2015 « Volumetric bias in segmentation and reconstruction: Secrets and solutions ». Communication lors de la conférence : IEEE International Conference on computer vision (Santiago, Chile, Dec. 11-18, 2015)
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)

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, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz. 2024 « Prompting classes: Exploring the power of prompt class learning in weakly supervised semantic segmentation ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2024) Institute of Electrical and Electronics Engineers Inc.
Julio Silva-Rodriguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi. 2024 « Exploring the transferability of a foundation model for fundus images: Application to hypertensive retinopathy ». Advances in Computer Graphics : 40th Computer Graphics International Conference, CGI : Proceedings (Shanghai, China, Aug. 28-Sept. 01, 2023) Springer Science and Business Media Deutschland GmbH
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2023 « TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos ». 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 02-07, 2023) 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)
Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz. 2023 « A strong baseline for generalized few-shot semantic segmentation ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023) IEEE
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, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Éric Granger. 2022 « Negative evidence matters in interpretable histology image classification ». Medical Imaging with Deep Learning MIDL (Zurich, Switzerland, July 06-08, 2022) ML Research Press
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)
H. Kervadec, J. Dolz, J. Yuan, C. Desrosiers, E. Granger, I. Ben Ayed. 2022 « Constrained deep networks: Lagrangian optimization via Log-barrier extensions ». 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022) European Signal Processing Conference, EUSIPCO
Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz. 2022 « The devil is in the margin: Margin-based label smoothing for network calibration ». 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
Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2021 « Deep active learning for joint classification segmentation with weak annotator ». IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021) IEEE Computer Society
Malik Boudiaf, Hoel Kervadec, Ziko Imtiaz Masud, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz. 2021 « Few-shot segmentation without meta-learning: A good transductive inference is all you need? ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA, June 20-25, 2021) IEEE
Jose Dolz, Christian Desrosiers, Ismail Ben Ayed. 2021 « Teach me to segment with mixed supervision: Confident students become masters ». 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, Virtual, Online, 28 June 2021 - 30 June 2021 (En ligne, June 28-30, 2021) Springer
Hoel Kervadec, Houda Bahig, Laurent Letourneau-Guillon, Jose Dolz, Ismail Ben Ayed. 2021 « Beyond pixel-wise supervision: semantic segmentation with higher-order shape descriptors ». Proceedings of the Fourth Conference on Medical Imaging with Deep Learning (Lübeck, Germany, En ligne, July 07-09, 2021) PMLR
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
Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed. 2020 « Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision ». Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020) PLMR
Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida. 2020 « On direct distribution matching for adapting segmentation networks ». Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020) PLMR
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 ». Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning (PMLR) (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
Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger. 2019 « Decoupling direction and norm for efficient gradient-based L2 adversarial attacks and defenses ». 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Long Beach, CA, USA, June 15-20, 2019) IEEE
Jose Dolz, Ismail Ben Ayed, Yuan Jing, Christian Desrosiers. 2018 « Isointense infant brain segmentation with a hyper-dense connected convolutional neural network ». IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (Washington, DC, USA, Apr. 04-07, 2018) 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
Y. Mathlouthi, A. Mitiche, I. Ben Ayed. 2016 « Calcul variationnel des dérivées d’une image et application à l’estimation du flot optique et du flot de scène ». Reconnaissance des Formes et l'Intelligence Artificielle (RFIA'16) (Clermont Ferrand, France, 27 juin - 1 juil. 2016)
Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed. 2016 « Boundary preserving variational image differentiation ». Pattern Recognition : 38th German Conference, GCPR 2016, Hannover, Germany, September 12-15, 2016, Proceedings (Hannover, Germany, Sept. 12-15, 2016) Springer International Publishing
Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov. 2016 « Normalized Cut Meets MRF ». Computer Vision - ECCV 2016 : 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II (Amsterdam, Netherlands, Oct. 08-16, 2016) Springer International Publishing
Yuri Boykov, Hossam Isack, Carl Olsson, Ismail Ben Ayed. 2015 « Volumetric bias in segmentation and reconstruction: secrets and solutions ». 2015 IEEE International Conference on Computer Vision (ICCV) (Santiago, Chile, Dec. 7-13, 2015) IEEE Computer Society
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
Brandon Miles, Max W. K. Law, Ismail Ben-Ayed, Greg Garvin, Aaron Fenster, Shuo Li. 2012 « Pixel level image fusion for medical imaging: An energy minimizing approach ». Progress in Biomedical Optics and Imaging (San Diego, CA, USA, Feb. 7-9, 2012) SPIE
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, Ali Islam, Ian Ross, Terry Peters, Shuo Li. 2011 « Variational level-set segmentation and tracking of left ventricle using field prior ». Progress in Biomedical Optics and Imaging (Lake Buena Vista, FL, USA, Feb. 14-16, 2011) SPIE
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
Ismail Ben Ayed, Kumaradevan Punithakumar, Gregory Garvin, Walter Romano, Shuo Li. 2011 « Graph cuts with invariant object-interaction priors: application to intervertebral disc segmentation ». 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
M. S. Nambakhsh, Kumaradevan Punithakumar, Ismail Ben Ayed, Aashish Goela, Ali Islam, Terry Peters, Shuo Li. 2011 « A neural network learned information measures for heart motion abnormality detection ». Progress in Biomedical Optics and Imaging (Lake Buena Vista, FL, USA, Feb. 14-16, 2011) SPIE
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, Chen Hua-mei, Kumaradevan Punithakumar, Ian Ross, Shuo Li. 2010 « Graph cut segmentation with a global constraint: recovering region distribution via a bound of the Bhattacharyya measure ». 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (San Francisco, CA, USA, June 13-18, 2010) IEEE
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, Ismail Ben Ayed, Ali Islam, Ian Ross, Shuo Li. 2009 « Tracking endocardial boundary and motion via graph cut distribution matching and multiple model filtering ». Computer Vision - ACCV 2009 : 9th Asian Conference on Computer Vision, Xi’an, September 23-27, 2009, Revised Selected Papers, Part III (Berlin, Germany, Sept. 23-27, 2009) Springer Verlag
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, Ali Islam, Greg Garvin, Rethy Chhem. 2008 « Area prior constrained level set evolution for medical image segmentation ». Medical Imaging 2008: Image Processing (San Diego, CA, USA, Feb. 17-19, 2008) The International Society for Optical Engineering
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, Amar Mitiche. 2007 « Embedding a region merging prior in level set vector-valued image segmentation ». Computer Vision – ACCV 2007. 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part I (Tokyo, Japan, Nov. 18-22, 2007) Springer Berlin Heidelberg
Ismail Ben Ayed, Amar Mitiche. 2006 « A partition constrained minimization scheme for efficient multiphase level set image segmentation ». 2006 IEEE International Conference on Image Processing (Atlanta, GA, USA, Oct. 8-11, 2006) IEEE
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj. 2006 « Variational unsupervised classification of polarimetric images ». IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006 (Denver, CO, USA, July 31-Aug. 4, 2006) IEEE
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj. 2006 « Variational unsupervised segmentation of multi-look complex polarimetric images using a wishart observation model ». 2006 IEEE International Conference on Image Processing (Atlanta, GA, USA, Oct. 8-11, 2006) IEEE
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj. 2005 « Level set curve evolution partitioning of polarimetric images ». IEEE International Conference on Image Processing, 2005. ICIP 2005 (Genoa, Italy, Sept. 11-14, 2005) IEEE
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
Carlos Vázquez, Amar Mitiche, Ismail Ben Ayed. 2004 « Image segmentation as regularized clustering: a fully global curve evolution method ». 2004 International Conference on Image Processing, 2004. ICIP '04 (Singapore, Singapore, Oct. 24-27, 2004) IEEE