02 octobre 2026
Ismail Ben Ayed
Professeur
Département
Département de génie des systèmes
Formation
B.Ing., M.Sc.A. (Sup'Com, Tunis), Ph.D. (INRS-EMT)
Bureau
F-5048
Courriel
Présentation
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
- Visiter le site web de : Chaire de recherche DIAGNOS sur l’intelligence artificielle en imagerie médicale
- Visiter le site web de : itechsanté – Institut de recherche et d'innovation en technologies pour la santé
Axes de recherche
- Systèmes intelligents et autonomes
- Technologies de la santé
Expertises
- Vision artificielle
- Apprentissage machine
- Algorithmes d’optimization
- Analyse d’images médicales
Cours et encadrements
Encadrements
- En codirection avec : Éric Granger
Flexible and Scalable Models For Clustering and Few-Shot Learning, par Imtiaz Masud Ziko
Été 2020 - En codirection avec : Éric Granger
Constrained Deep Networks for Medical Image Segmentation, par Hoel Kervadec
Hiver 2021 - 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 - En codirection avec : Christian Desrosiers
Test-Time Adaptation of Deep Models, par Gustavo Adolfo Vargas Hakim
Été 2025 - En codirection avec : Christian Desrosiers
Computer Vision Methods Adapting to New Domains with few Samples, par David Osowiechi
Automne 2025 - Learning Generalizable Representations for Medical Imaging Tasks, par Fereshteh Shakeri
Automne 2026 - En codirection avec : Christian Desrosiers
Dealing with Domain Shift in Deep Learning: From Training-Time Generalization to Test-Time Adaptation, par Mehrdad Noori
Été 2026 - En codirection avec : Jose Dolz
Where to Intervene : Adapting Vision Models for Semantic Segmentation, par Seyed Mohammadsina Hajimiri
Automne 2026 - En codirection avec : Jose Dolz
Constraint-Based Calibration for Reliable Deep Learning Models, par Balamurali Murugesan
Hiver 2026 - En codirection avec : Christian Desrosiers
Robust and Generalizable Deep Geometric Representation Learning for 3D Point Clouds, par Ali Bahri
Hiver 2026 - En codirection avec : Christian Desrosiers
Backpropagation-Free Adaptation of Vision Transformers for Robust and Efficient 3D and 2D Perception, par Moslem Yazdanpanah
Été 2026 - En codirection avec : Pablo Piantanida
Towards General Purpose Molecular Representations, par Philippe Formont
Automne 2026 - En codirection avec : Houda Bahig
Foundation Models and Adaptation Methods for Medical Image Analysis, par Ghassen Baklouti
Automne 2026 - En codirection avec : Éric Granger
Alignement et adaptation de domaine pour la classification en histologie à l’aide de modèles vision-langage, par Natacha Gillet
Automne 2026 - En codirection avec : Éric Granger
Adaptation of Vision-Language Models for Human Behaviour Recognition, par Nicolas Richet
Automne 2026
- 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 - 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 - Évaluation réaliste de l’apprentissage Few-Shot transductif, par Olivier Veilleux
Hiver 2022 - 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 - En codirection avec : Christian Desrosiers
Stylization-Centered Domain Generalization Methods for Image Classification, par Milad Cheraghalikhani
Hiver 2025
- 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
Publications
- Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed. 2021 « Variational fair clustering ».
- 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
- Ghassen Baklouti, Maxime Zanella, Ismail Ben Ayed. 2026 « Language-aware information maximization for transductive few-shot CLIP ». Transactions on Machine Learning Research vol. 2026
- Leo Fillioux, Julio Silva-Rodríguez, Ismail Ben Ayed, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Jose Dolz. 2026 « Are foundation models for computer vision good conformal predictors? ». Transactions on Machine Learning Research vol. 2026
- Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers. 2025 « GeoMask3D: Geometrically informed mask selection for self-supervised point cloud learning in 3D ». Transactions on Machine Learning Research
- Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger. 2025 « CoLo-CAM: Class activation mapping for object co-localization in weakly-labeled unconstrained videos ». Pattern Recognition vol. 162
- Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli. 2025 « AttackBench: Evaluating gradient-based attacks for adversarial examples ». Proceedings of the AAAI Conference on Artificial Intelligence vol. 39 , nº 3. p. 2600-2608
- Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed. 2025 « A strong baseline for molecular few-shot learning ». Transactions on Machine Learning Research vol. 2025
- Ségolène Martin, Jean-Christophe Pesquet, Gabriele Steidl, Ismail Ben Ayed. 2025 « Variable Bregman majorization-minimization algorithm and its application to Dirichlet maximum likelihood estimation ». Journal of Applied and Numerical Optimization vol. 7 , nº 3. p. 399-420
- Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz. 2025 « Neighbor-aware calibration of segmentation networks with penalty-based constraints ». Medical Image Analysis vol. 101
- Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed. 2025 « A Foundation Language-Image Model of the Retina (FLAIR): Encoding expert knowledge in text supervision ». Medical Image Analysis vol. 99
- Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Balamurali Murugesan, Waziha Kabir, Jihed Chelbi, Marc-André Racine, Jose Dolz, Ismail Ben Ayed. 2025 « Parameter-efficient fine-tuning of ophthalmology foundation models for robust hypertensive retinopathy detection and triage ». Investigative Ophthalmology & Visual Science vol. 66 , nº 8
- Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed. 2025 « Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation ». Medical Image Analysis vol. 103
- Mathieu Vu, Émilie Chouzenoux, Ismail Ben Ayed, Jean-Christophe Pesquet. 2025 « Aggregated f-average neural network applied to few-shot class incremental learning ». Signal Processing vol. 237
- An Ni Wu, Merve Kulbay, Phillip M. Cheng, Alexandre Cadrin-Chênevert, Laurent Létourneau-Guillon, Gabriel Chartrand, Jaron Chong, Emmanuel Montagnon, Ismail Ben Ayed, An Tang. 2025 « Deep learning models connecting images and text: A primer for radiologists ». Radiographics vol. 45 , nº 9
- H. Chakor Dj, W. Kabir, R. Kobbi, J. Chelbi, M. A. Racine, J. St-Jacques, D. Schwirtz, L. Madteossian, J. Dolz, I. Ben Ayed. 2024 « An AI-assisted system for classification and triage of diabetic retinopathy (DR) by using real-world fundus images ». Diabetes Research and Clinical Practice vol. 209 , nº Suppl. 1
- H. Chakor Dj, W. Kabir, R. Kobbi, J. Chelbi, M. A. Racine, J. St-Jacques, D. Schwirtz, L. Madteossian, J. Dolz, I. Ben Ayed. 2024 « Hybrid classification of hypertensive retinopathy (HR) in general population based on artificial intelligence ». Diabetes Research and Clinical Practice vol. 209 , nº Suppl. 1
- Hadi Chakor, Waziha Kabir, Riadh Kobbi, Jihed Chelbi, Marc-André Racine, Julio Silva-Rodríguez, Balamurali Murugesan, Jose Dolz, Ismail Ben Ayed. 2024 « AI-assisted automated screening of retinal anomalies in OCT Images: A deep learning approach ». Investigative Ophthalmology & Visual Science vol. 65 , nº 7
- 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 vol. 46 , nº 12. p. 9123-9138
- 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
- Simona Juvină, Ana Neacșu, Jean-Christophe Pesquet, Corneliu Burileanu, Jérôme Rony, Ismail Ben Ayed. 2024 « Training graph neural networks subject to a tight Lipschitz constraint ». Transactions on Machine Learning Research vol. 2024
- W. Kabir, H. Chakor, R. Kobbi, J. Chelbi, M. A. Racine, J. St-Jacques, D. Schwirtz, L. Madteossian, I. Ben Ayed, J. Dolz. 2024 « An AI-assisted system for screening of diabetic macular edema (DME) by using real-world fundus images ». Diabetes Research and Clinical Practice vol. 209 , nº Suppl. 1
- W. Kabir, R. Kobbi, J. Chelbi, M. A. Racine, H. Chakor Dj, I. B. Ayed, J. Dolz, J. St-Jacques, L. Madteossian, D. Schwirtz. 2024 « An AI-assisted system for early screening of age-related macular degeneration (ARMD) from real-world fundus images ». Diabetes Research and Clinical Practice vol. 209 , nº Suppl. 1
- 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
- Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz. 2024 « Do not trust what you trust: Miscalibration in semi-supervised learning ». Transactions on Machine Learning Research vol. 2024
- Balamurali Murugesan, Julio Silva-Rodriguez, Hadi Chakor, Riadh Kobbi, Waziha Kabir, Jihed Chelbi, Marc-Andre Racine, Jose Dolz, Ismail Ben Ayed. 2024 « Domain generalization for diabetic retinopathy grading through vision-language foundation models ». Investigative Ophthalmology & Visual Science vol. 65 , nº 7
- 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
- Julio Silva-Rodriguez, Hadi Chakor, Riadh Kobbi, Balamurali Murugesan, Waziha Kabir, Jihed Chelbi, Marc-Andre Racine, Jose Dolz, Ismail Ben Ayed. 2024 « All that glitters is not gold: are current retina foundation models able to efficiently detect hypertensive retinopathy? ». Investigative Ophthalmology & Visual Science vol. 65 , nº 7
- 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 Ben 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.
- José Dolz, Ismail Ben Ayed, Christian Desrosiers. 2026 « A unified view of learning from both labeled and unlabeled data ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. p. 17-37. Elsevier
- José Dolz, Ismail Ben Ayed, Christian Desrosiers. 2026 « Alternative learning scenarios ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. p. 97-113. Elsevier
- José Dolz, Ismail Ben Ayed, Christian Desrosiers. 2026 « General introduction ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. p. 1-13. Elsevier
- José Dolz, Ismail Ben Ayed, Christian Desrosiers. 2026 « Semi-supervised learning ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. p. 39-71. Elsevier
- José Dolz, Ismail Ben Ayed, Christian Desrosiers. 2026 « Weakly supervised segmentation ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. p. 73-96. Elsevier
- Julio-Jose Silva-Rodriguez, Jose Dolz, Ismail Ben Ayed. 2026 « Transductive few-shot adapters for medical image segmentation ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. p. 295-309. Elsevier
- 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)
- Ghassen Baklouti, Julio Silva-Rodríguez, Jose Dolz, Houda Bahig, Ismail Ben Ayed. 2026 « Regularized low-rank adaptation for few-shot organ segmentation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part VII (Daejeon, South Korea, Sept. 23-27, 2025) Springer
- Farzad Beizaee, Sina Hajimiri, Ismail Ben Ayed, Gregory Lodygensky, Christian Desrosiers, Jose Dolz. 2026 « Reflect: Rectified flows for efficient brain anomaly correction transport ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part IV (Daejeon, South Korea, Sept. 23-27, 2025) Springer
- Mehrdad Noori, Gustavo A. Vargas Hakim, David Osowiechi, Fereshteh Shakeri, Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Ismail Ben Ayed, Christian Desrosiers. 2026 « Histopath-C: Towards realistic domain shifts for histopathology vision-language adaptation ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Tucson, AZ, USA, Mar. 06-10, 2026) Institute of Electrical and Electronics Engineers Inc.
- Fereshteh Shakeri, Ghassen Baklouti, Julio Silva-Rodríguez, Maxime Zanella, Houda Bahig, Jose Dolz, Ismail Ben Ayed. 2026 « Test-time adaptation of medical vision-language models ». Foundation Models for General Medical AI: Third International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Proceedings (Daejeon, South Korea, Sept. 27, 2025) Springer
- Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz. 2026 « Trustworthy few-shot transfer of medical VLMs through split conformal prediction ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part VII (Daejeon, South Korea, Sept. 23-27, 2025) Springer
- Julio Silva-Rodríguez, José Dolz, Ismail Ben Ayed. 2026 « A reality check of vision-language pre-training in radiology: Have we progressed using text? ». Information Processing in Medical Imaging: 29th International Conference, IPMI 2025, Proceedings, Part II (Kos, Greece, May 25-30, 2025) Springer
- Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède, Maria Vakalopoulou, Stergios Christodoulidis, Ismail Ben Ayed, José Dolz. 2026 « Full conformal adaptation of medical vision-language models ». Information Processing in Medical Imaging: 29th International Conference, IPMI 2025, Proceedings, Part II (Kos, Greece, May 25-30, 2025) Springer
- Julio Silva-Rodríguez, Fereshteh Shakeri, Houda Bahig, Jose Dolz, Ismail Ben Ayed. 2026 « Few-shot, now for real: Medical VLMs adaptation without balanced sets or validation ». Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part VII (Daejeon, South Korea, Sept. 23-27, 2025) Springer
- Moslem Yazdanpanah, Ali Bahri, Mehrdad Noori, Sahar Dastani, Samuel Barbeau, David Osowiechi, Gustavo Adolfo Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers. 2026 « Revisiting layer normalization for point cloud test time adaptation ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Tucson, AZ, USA, Mar. 06-10, 2026) Institute of Electrical and Electronics Engineers Inc.
- Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers. 2025 « SMART-PC: Skeletal model adaptation for robust test-time training in point clouds ». 42nd International Conference on Machine Learning (Vancouver, BC, Canada, July 13-19, 2025) ML Research Press
- Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers. 2025 « Spectral informed Mamba for robust point cloud processing ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA, June 10-17, 2025) Institute of electrical and Electonics Engineers Inc.
- Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, David Osowiechi, Farzad Beizaee, Gustavo A. Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers. 2025 « Test-time adaptation in point clouds: Leveraging sampling variation with weight averaging ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Tucson, AZ, USA, Feb. 26-Mar. 06, 2025) Institute of Electrical and Electronics Engineers Inc.
- Sahar Dastani, Ali Bahri, Gustavo Vargas Hakim, Moslem Yazdanpanah, Mehrdad Noori, David Osowiechi, Samuel Barbeau, Ismail Ben Ayed, Hervé Lombaert, Christian Desrosiers. 2025 « TRUST: Test-time refinement using uncertainty-guided SSM traverses ». 39th Conference on Neural Information Processing Systems (NeurIPS 2025) (San Diego, CA, USA, Dec. 02-07, 2025) Neural information processing systems foundation
- Karim El Khoury, Maxime Zanella, Benoît Gérin, Tiffanie Godelaine, Benoît Macq, Saïd Mahmoudi, Christophe De Vleeschouwer, Ismail Ben Ayed. 2025 « Enhancing remote sensing vision-language models for zero-shot scene classification ». IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Hyderabad, India, Apr. 06-11, 2025) Institute of Electrical and Electronics Engineers Inc.
- Philippe Formont, Maxime Darrin, Banafsheh Karimian, Jackie CK Cheung, Eric Granger, Ismail Ben Ayed, MohammadHadi Shateri, Pablo Piantanida. 2025 « Learning task-agnostic representations through multi-teacher distillation ». 39th Conference on Neural Information Processing Systems (NeurIPS) (San Diego, CA, USA, Dec. 02-07, 2025) Neural Information Processing Systems Foundation Inc. (NeurIPS)
- Sina Hajimiri, Ismail Ben Ayed, José Dolz. 2025 « Pay attention to your neighbours: Training-free open-vocabulary semantic segmentation ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Tucson, AZ, USA, Feb. 26-Mar. 06, 2025) IEEE
- Marc Lafon, Yannis Karmim, Julio Silva-Rodríguez, Paul Couairon, Clément Rambour, Raphaël Fournier-Sniehotta, Ismail Ben Ayed, José Dolz, Nicolas Thome. 2025 « ViLU: Learning Vision-Language Uncertainties for failure prediction ». IEEE/CVF International Conference on Computer Vision (ICCV) (Honolulu, HI, USA, Oct. 19-25, 2025) Institute of Electrical and Electronics Engineers Inc.
- Nairouz Mrabah, Nicolas Richet, Ismail Ben Ayed, Éric Granger. 2025 « Sparsity outperforms low-rank projections in few-shot adaptation ». IEEE/CVF International Conference on Computer Vision (ICCV) (Honolulu, HI, USA, Oct. 19-25, 2025) Institute of Electrical and Electronics Engineers Inc.
- 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
- Mehrdad Noori, Ali Bahri, Gustavo A. V. Hakim, Ismail Ben Ayed, Milad Cheraghalikhani, David Osowiechi, Christian Desrosiers, Moslem Yazdanpanah. 2025 « FDS: Feedback-guided domain synthesis with multi-source conditional diffusion models for domain generalization ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Tucson, AZ, USA, Feb. 25-Mar. 06, 2025) Institute of Electrical and Electronics Engineers Inc.
- Mehrdad Noori, David Osowiechi, Gustavo Vargas Hakim, Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers. 2025 « Test-time adaptation of vision-language models for open-vocabulary semantic segmentation ». 39th Conference on Neural Information Processing Systems (NeurIPS 2025) (San Diego, CA, USA, Dec. 02-07, 2025) Neural information processing systems foundation
- Gabriel Pîrlogeanu, Ana Neacsu, Horia Cucu, Jean-Christophe Pesquet, Ismail Ben Ayed. 2025 « Closed-set speaker identification using few-shot transductive learning ». 33rd European Signal Processing Conference (EUSIPCO) (Palermo, Italy, Sept. 08-12, 2025) European Signal Processing Conference, EUSIPCO
- Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz. 2025 « Conformal prediction for zero-shot models ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA, June 10-17, 2025) IEEE Computer Society
- Hicham Talaoubrid, Anissa Mokraoui, Ismail Ben Ayed, Rémi Harvey. 2025 « Benchmarking cross-domain few-shot object detection in aerial imagery ». IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium (Brisbane, Australia, Aug. 03-08, 2025) IEEE
- Hicham Talaoubrid, Anissa Mokraoui, Ismail Ben Ayed, Axel Prouvost, Sonimith Hang, Monit Korn, Rémi Harvey. 2025 « Analyzing the impact of low-rank adaptation for cross-domain few-shot object detection in aerial images ». 33rd European Signal Processing Conference (EUSIPCO) (Palermo, Italy, Sept. 08-12, 2025) European Signal Processing Conference, EUSIPCO
- Gustavo A. Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers. 2025 « CLIPArTT: Adaptation of CLIP to new domains at test time ». IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Tucson, AZ, USA, Feb. 26-mar. 06, 2025) Institute of Electrical and Electronics Engineers Inc.
- Moslem Yazdanpanah, Ali Bahri, Mehrdad Noori, Sahar Dastani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers. 2025 « Purge-Gate: Backpropagation-free test-time adaptation for point clouds classification via token purging ». IEEE/CVF International Conference on Computer Vision (ICCV) (Honolulu, HI, USA, Oct. 19-25, 2025) Institute of Electrical and Electronics Engineers Inc.
- Maxime Zanella, Clément Fuchs, Ismail Ben Ayed, Christophe De Vleeschouwer. 2025 « Vocabulary-free few-shot learning for vision-language models ». IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Nashville, TN, USA, June 11-12, 2025) IEEE Computer Society
- Maxime Zanella, Clément Fuchs, Christophe De Vleeschouwer, Ismail Ben Ayed. 2025 « Realistic test-time adaptation of vision-language models ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA, June 10-17, 2025) IEEE
- Long Zhou, Fereshteh Shakeri, Aymen Sadraoui, Mounir Kaaniche, Jean-Christophe Pesquet, Ismail Ben Ayed. 2025 « UNEM: UNrolled generalized EM for transductive few-shot learning ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA, June 10-17, 2025) IEEE Computer Society
- Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie Chi Kit Cheung, Pablo Piantanida. 2024 « When is an embedder more promising than another? ». Advances in Neural Information Processing Systems 37 (NeurIPS 2024) (Vancouver, BC, Canada, Dec. 10-15, 2024) Neural information processing systems foundation
- Yunshi Huang, Fereshteh Shakeri, Jose Dolz, Malik Boudiaf, Houda Bahig, Ismail Ben Ayed. 2024 « LP++: 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 Electronics Engineers Inc.
- Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed. 2024 « Transductive zero-shot and few-shot CLIP ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Seattle, WA, USA, June 16-22, 2024) Institute of Electrical and Electronics 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, 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.
- 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 Electronics Engineers Inc.
- David Osowiechi, Mehrdad Noori, Gustavo A. Vargas Hakim, Moslem Yazdanpanah, Ali Bahri, Milad Cheraghalikhani, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers. 2024 « WATT: Weight Average Test-Time Adaptation of CLIP ». Advances in Neural Information Processing Systems 37 (NeurIPS 2024) (Vancouver, BC, Canada, Dec. 10-15, 2024) Neural information processing systems foundation
- Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed. 2024 « A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer ». IEEE International Symposium on Biomedical Imaging (ISBI) (Athens , Greece, May 27-30, 2024) IEEE Computer Society
- 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, 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
- 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 Electronics Engineers Inc.
- Maxime Zanella, Ismail Ben Ayed. 2024 « Low-rank few-shot adaptation of vision-language models ». IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Seattle, WA, USA, June 17-18, 2024) IEEE Computer Society
- Maxime Zanella, Ismail Ben Ayed. 2024 « On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning? ». IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Seattle, WA, USA, June 16-22, 2024) Institute of Electrical and Electronics Engineers Inc.
- Maxime Zanella, Benoît Gérin, Ismail Ben Ayed. 2024 « Boosting vision-language models with transduction ». Advances in Neural Information Processing Systems 37 (NeurIPS 2024) (Vancouver, BC, Canada, Dec. 10-15, 2024) Neural information processing systems foundation
- Maxime Zanella, Fereshteh Shakeri, Yunshi Huang, Houda Bahig, Ismail Ben Ayed. 2024 « Boosting vision-language models for histopathology classification: Predict all at once ». Foundation Models for General Medical AI : Second International Workshop, MedAGI 2024, Held in Conjunction with MICCAI 2024, Proceedings (Marrakesh, Morocco, Oct. 06, 2024) Springer Cham
- 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 Electronics 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 Electronics 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, Part III (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 Electronics 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 for segmentation: A few global shape descriptors might be surprisingly good! ». 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
- 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, 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 (NeurIPS) (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, 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, 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 Conjunction 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
- 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, 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, 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, Proceedings, Part I (Las Vegas, NV, USA, Dec. 08-10, 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, Proceedings, Part I (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, 15th International Conference, 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, Proceedings, Part I (Nice, France, Oct. 01-05, 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 ». SPIE Medical Imaging: Computer-Aided Diagnosis (San Diego, CA, USA, Feb. 07-09, 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, 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 ». SPIE Medical Imaging : Image Processing (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, 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 ». SPIE Medical Imaging : Image Processing (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, 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, 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, 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, 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
- José Dolz, Ismail Ben Ayed, Christian Desrosiers. 2026 « Less-supervised segmentation with CNNs: Scenarios, models and optimization ». : Elsevier. 330 p.
- Ismail Ben Ayed. 2023 « High-order models in semantic image segmentation ». : Elsevier. 168 p.
- Amar Mitiche, Ismail Ben Ayed. 2011 « Variational and level set methods in image segmentation ». : Springer Berlin Heidelberg. 190 p.
