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Liste des publications de "Ben Ayed, Ismail"Nombre de documents archivés : 184. 2025
Murugesan, Balamurali, Silva-Rodríguez, Julio, ben Ayed, Ismail et Dolz, Jose.
2025.
« Robust calibration of large vision-language adapters ».
In Computer Vision – ECCV 2024 : 18th European Conference, 2024, Proceedings, Part XXI (Milan, Italy, Sept. 29-Oct. 04, 2024)
Coll. « Lecture notes in computer science », vol. 15082.
pp. 147-165.
Springer.
Silva-Rodríguez, Julio, Chakor, Hadi, Kobbi, Riadh, Dolz, Jose et Ben Ayed, Ismail.
2025.
« A Foundation Language-Image Model of the Retina (FLAIR): Encoding expert knowledge in text supervision ».
Medical Image Analysis, vol. 99.
2024
Cheraghalikhani, Milad, Noori, Mehrdad, Osowiechi, David, Hakim, Gustavo A. Vargas, Ben Ayed, Ismail et Desrosiers, Christian.
2024.
« Structure-aware feature stylization for domain generalization ».
Computer Vision and Image Understanding, vol. 244.
Chiaroni, Florent, Boudiaf, Malik, Mitiche, Amar et Ben Ayed, Ismail.
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.
pp. 9123-9138.
Deng, Shengziang, Ben Ayed, Ismail et Sun, Hongpeng.
2024.
« A preconditioned alternating minimization framework for nonconvex and half quadratic regularization ».
Inverse Problems and Imaging, vol. 18, nº 4.
pp. 1024-1051.
Liu, Bingyuan, Dolz, Jose, Galdran, Adrian, Kobbi, Riadh et Ben Ayed, Ismail.
2024.
« Do we really need dice? The hidden region-size biases of segmentation losses ».
Medical Image Analysis, vol. 91.
Mounsaveng, Saypraseuth, Chiaroni, Florent, Boudiaf, Malik, Pedersoli, Marco et Ben Ayed, Ismail.
2024.
« Bag of tricks for fully test-time adaptation ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2024)
pp. 1925-1934.
Institute of Electrical and Electronics Engineers Inc..
Murugesan, Balamurali, Hussain, Rukhshanda, Bhattacharya, Rajarshi, Ben Ayed, Ismail et Dolz, Jose.
2024.
« Prompting classes: Exploring the power of prompt class learning in weakly supervised semantic segmentation ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2024)
pp. 290-301.
Institute of Electrical and Electronics Engineers Inc..
Murugesan, Balamurali, Silva-Rodriguez, Julio, Ben Ayed, Ismail et Dolz, Jose.
2024.
« Class and region-adaptive constraints for network calibration ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 : 27th International Conference, Proceedings, Part VIII (Marrakesh, Morocco, Oct. 06-10, 2024)
Coll. « Lecture Notes in Computer Science », vol. 15008.
pp. 57-67.
Springer.
Noori, Mehrdad, Cheraghalikhani, Milad, Bahri, Ali, Vargas Hakim, Gustavo A., Osowiechi, David, Ben Ayed, Ismail et Desrosiers, Christian.
2024.
« TFS-ViT: Token-level feature stylization for domain generalization ».
Pattern Recognition, vol. 149.
Sadraoui, Aymen, Martin, Ségolène, Barbot, Eliott, Laurent-Bellue, Astrid, Pesquet, Jean-Christophe, Guettier, Catherine et Ben Ayed, Ismail.
2024.
« A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer ».
In IEEE International Symposium on Biomedical Imaging (ISBI) (Athens , Greece, May 27-30, 2024)
IEEE Computer Society.
Shakeri, Fereshteh, Huang, Yunshi, Silva-Rodríguez, Julio, Bahig, Houda, Tang, An, Dolz, José et Ben Ayed, Ismail.
2024.
« Few-shot adaptation of medical vision-language models ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 : 27th International Conference, Proceedings, Part XII (Marrakesh, Morocco, Oct. 06-10, 2024)
Coll. « Lecture notes in computer science », vol. 15012.
pp. 553-563.
Springer.
Silva-Rodriguez, Julio, Chelbi, Jihed, Kabir, Waziha, Chakor, Hadi, Dolz, Jose, Ben Ayed, Ismail et Kobbi, Riadh.
2024.
« Exploring the transferability of a foundation model for fundus images: Application to hypertensive retinopathy ».
In Advances in Computer Graphics : 40th Computer Graphics International Conference, CGI : Proceedings (Shanghai, China, Aug. 28-Sept. 01, 2023)
Coll. « Lecture Notes in Computer Science », vol. 14497.
pp. 427-437.
Springer Science and Business Media Deutschland GmbH. 2023
Belharbi, Soufiane, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2023.
« TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos ».
In 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 137-146.
Institute of Electrical and Electonics Engineers Inc..
Ben Ayed, Ismail.
2023.
« High-order models in semantic image segmentation ».
Elsevier. 168 p.
Boudiaf, Malik, Bennequin, Etienne, Tami, Myriam, Toubhans, Antoine, Piantanida, Pablo, Hudelot, Celine et Ben Ayed, Ismail.
2023.
« Open-set likelihood maximization for few-shot learning ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023)
pp. 24007-24016.
Institute of Electrical and Electonics Engineers Inc..
Chiaroni, Florent, Dolz, Jose, Masud, Ziko Imtiaz, Mitiche, Amar et Ben Ayed, Ismail.
2023.
« Parametric information maximization for generalized category discovery ».
In IEEE/CVF International Conference on Computer Vision (ICCV) (Paris, France, Oct. 01-06, 2023)
pp. 1729-1739.
Institute of Electrical and Electronics Engineers Inc..
Colombo, Pierre, Pellegrain, Victor, Boudiaf, Malik, Storchan, Victor, Tami, Myriam, Ben Ayed, Ismail, Hudelot, Celine et Piantanida, Pablo.
2023.
« Transductive learning for textual few-shot classification in API-based embedding models ».
In Conference on Empirical Methods in Natural Language Processing (EMNLP) (Singapore, Singapore, Dec. 06-10, 2023)
pp. 4214-4231.
Association for Computational Linguistics (ACL).
Hajimiri, Sina, Boudiaf, Malik, Ben Ayed, Ismail et Dolz, Jose.
2023.
« A strong baseline for generalized few-shot semantic segmentation ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023)
pp. 11269-11278.
IEEE.
Hakim, Gustavo A. Vargas, Osowiechi, David, Noori, Mehrdad, Cheraghalikhani, Milad, Bahri, Ali, Ben Ayed, Ismail et Desrosiers, Christian.
2023.
« ClusT3: Information invariant test-time training ».
In IEEE/CVF International Conference on Computer Vision (ICCV) (Paris, France, Oct. 01-06, 2023)
pp. 6113-6122.
Institute of Electrical and Electronics Engineers Inc..
Liu, Bingyuan, Desrosiers, Christian, Ben Ayed, Ismail et Dolz, Jose.
2023.
« Segmentation with mixed supervision: Confidence maximization helps knowledge distillation ».
Medical Image Analysis, vol. 83.
Liu, Bingyuan, Rony, Jérôme, Galdran, Adrian, Dolz, Jose et Ben Ayed, Ismail.
2023.
« Class adaptive network calibration ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023)
pp. 16070-16079.
IEEE Computer Society.
Murugesan, Balamurali, Adiga Vasudeva, Sukesh, Liu, Bingyuan, Lombaert, Herve, Ben Ayed, Ismail et Dolz, Jose.
2023.
« Trust your neighbours: Penalty-based constraints for model calibration ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 : 26th International Conference, Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023)
Coll. « Lecture Notes in Computer Science », vol. 14222.
pp. 572-581.
Springer Science and Business Media Deutschland GmbH.
Murugesan, Balamurali, Liu, Bingyuan, Galdran, Adrian, Ayed, Ismail Ben et Dolz, Jose.
2023.
« Calibrating segmentation networks with margin-based label smoothing ».
Medical Image Analysis, vol. 87.
Osowiechi, David, Vargas Hakim, Gustavo A., Noori, Mehrdad, Cheraghalikhani, Milad, Ayed, Ismail Ben et Desrosiers, Christian.
2023.
« TTTFlow: Unsupervised Test-Time Training with Normalizing Flow ».
In IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 2125-2133.
Institute of Electrical and Electronics Engineers Inc..
Picot, Marine, Messina, Francisco, Boudiaf, Malik, Labeau, Fabrice, Ben Ayed, Ismail et Piantanida, Pablo.
2023.
« Adversarial robustness via Fisher-Rao Regularization ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, nº 3.
pp. 2698-2710.
Rony, Jérôme, Pesquet, Jean-Christophe et Ben Ayed, Ismail.
2023.
« Proximal splitting adversarial attack for semantic segmentation ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023)
pp. 20524-20533.
Institute of electrical and Electonics Engineers Inc..
Silva-Rodríguez, Julio, Dolz, José et Ben Ayed, Ismail.
2023.
« Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 14393.
pp. 213-224.
Springer Science and Business Media. 2022
Bateson, Mathilde, Kervadec, Hoel, Dolz, Jose, Lombaert, Hervé et Ben Ayed, Ismail.
2022.
« Source-free domain adaptation for image segmentation ».
Medical Image Analysis, vol. 82.
Bateson, Mathilde, Lombaert, Herve et Ben Ayed, Ismail.
2022.
« Test-time adaptation with shape moments for image segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference : Proceedings Part IV (Singapore, Singapore, Sept. 18-22, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13434.
pp. 736-745.
Springer Science and Business Media Deutschland GmbH.
Belharbi, Soufiane, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Éric.
2022.
« Negative evidence matters in interpretable histology image classification ».
In Medical Imaging with Deep Learning MIDL (Zurich, Switzerland, July 06-08, 2022)
Coll. « Proceedings of Machine Learning Research », vol. 172.
pp. 103-129.
ML Research Press.
Belharbi, Soufiane, Rony, Jérôme, Dolz, Jose, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2022.
« Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty ».
IEEE Transactions on Medical Imaging, vol. 41, nº 3.
pp. 702-714.
Belharbi, Soufiane, Sarraf, Aydin, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2022.
« F-CAM: Full resolution class activation maps via guided parametric upscaling ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2022)
pp. 3727-3736.
Institute of Electrical and Electronics Engineers Inc..
Boudiaf, Malik, Mueller, Romain, Ben Ayed, Ismail et Bertinetto, Luca.
2022.
« Parameter-free online test-time adaptation ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
pp. 8334-8343.
Galdran, A., Chakor, H., Kabir, W., Kobbi, R., Liu, B., Dolz, J. et Ben Ayed, I..
2022.
« An automatic deep learning-based system for screening and management of DME ».
[Résumé d'une communication à une conférence]. Diabetes Research and Clinical Practice, vol. 186, nº Suppl. 1.
pp. 4-5.
Galdran, Adrian, Anjos, André, Dolz, José, Chakor, Hadi, Lombaert, Hervé et Ben Ayed, Ismail.
2022.
« State-of-the-art retinal vessel segmentation with minimalistic models ».
Scientific Reports, vol. 12, nº 1.
Kervadec, H., Dolz, J., Yuan, J., Desrosiers, C., Granger, E. et Ben Ayed, I..
2022.
« Constrained deep networks: Lagrangian optimization via Log-barrier extensions ».
In 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022)
pp. 962-966.
European Signal Processing Conference, EUSIPCO.
Liu, Bingyuan, Ben Ayed, Ismail, Galdran, Adrian et Dolz, Jose.
2022.
« The devil is in the margin: Margin-based label smoothing for network calibration ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
pp. 80-88.
Martin, Ségolène, Boudiaf, Malik, Chouzenoux, Emilie, Pesquet, Jean-Christophe et Ben Ayed, Ismail.
2022.
« Towards practical few-shot query sets: Transductive minimum description length inference ».
In Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (New Orleans, LA, USA, Nov. 28-Dec. 09, 2022)
Neural information processing systems foundation. 2021
Azad, Reza, Fayjie, Abdur R., Kauffmann, Claude, Ben Ayed, Ismail, Pedersoli, Marco et Dolz, Jose.
2021.
« On the texture bias for few-shot CNN segmentation ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021)
pp. 2673-2682.
Institute of Electrical and Electronics Engineers.
Bateson, M., Dolz, J., Kervadec, H., Lombaert, H. et Ben Ayed, I..
2021.
« Constrained domain adaptation for image segmentation ».
IEEE Transactions on Medical Imaging, vol. 40, nº 7.
pp. 1875-1887.
Belharbi, Soufiane, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2021.
« Deep active learning for joint classification segmentation with weak annotator ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021)
pp. 3337-3346.
Los Alamitos, CA, USA : IEEE Computer Society.
Boudiaf, Malik, Kervadec, Hoel, Masud, Ziko Imtiaz, Piantanida, Pablo, Ben Ayed, Ismail et Dolz, Jose.
2021.
« Few-shot segmentation without meta-learning: A good transductive inference is all you need? ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA, June 20-25, 2021)
pp. 13974-13983.
IEEE.
Dolz, Jose, Desrosiers, Christian et Ben Ayed, Ismail.
2021.
« Teach me to segment with mixed supervision: Confident students become masters ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 12729.
pp. 517-529.
Springer.
Jabi, Mohammed, Pedersoli, Marco, Mitiche, Amar et Ben Ayed, Ismail.
2021.
« Deep clustering: On the link between discriminative models and K-means ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, nº 6.
pp. 1887-1896.
Kervadec, Hoel, Bahig, Houda, Letourneau-Guillon, Laurent, Dolz, Jose et Ben Ayed, Ismail.
2021.
« Beyond pixel-wise supervision: semantic segmentation with higher-order shape descriptors ».
In Proceedings of the Fourth Conference on Medical Imaging with Deep Learning (Lübeck, Germany, En ligne, July 07-09, 2021)
Coll. « Proceedings of Machine Learning Research », vol. 143.
pp. 354-368.
PMLR.
Kervadec, Hoel, Bouchtiba, Jihene, Desrosiers, Christian, Granger, Eric, Dolz, José et Ben Ayed, Ismail.
2021.
« Boundary loss for highly unbalanced segmentation ».
Medical Image Analysis, vol. 67.
Kiran, Madhu, Bhuiyan, Amran, Nguyen-Meidine, Le Thanh, Blais-Morin, Louis-Antoine, Ben Ayed, Ismail et Granger, Eric.
2021.
« Flow guided mutual attention for person re-identification ».
Image and Vision Computing, vol. 113.
Masson, Hugo, Bhuiyan, Amran, Nguyen-Meidine, Le Thanh, Javan, Mehrsan, Siva, Parthipan, Ben Ayed, Ismail et Granger, Eric.
2021.
« Exploiting prunability for person re-identification ».
EURASIP Journal on Image and Video Processing, vol. 2021, nº 1.
Mounsaveng, Saypraseuth, Laradji, Issam, Ben Ayed, Ismail, Vazquez, David et Pedersoli, Marco.
2021.
« Learning data augmentation with online bilevel optimization for image classification ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021)
pp. 1690-1699.
Institute of Electrical and Electronics Engineers Inc..
Rony, Jerome, Granger, Eric, Pedersoli, Marco et Ben Ayed, Ismail.
2021.
« Augmented Lagrangian Adversarial Attacks ».
In 18th IEEE/CVF International Conference on Computer Vision (ICCV) (Montreal, QC, Canada - en ligne, Oct. 10-17, 2021)
pp. 7718-7727.
Institute of Electrical and Electronics Engineers Inc..
Veilleux, Olivier, Boudiaf, Malik, Piantanida, Pablo et Ben Ayed, Ismail.
2021.
« Realistic evaluation of transductive few-shot learning ».
In Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (Sydney, Australia, Dec. 06-14, 2021)
pp. 9290-9302.
Neural information processing systems foundation.
Wang, Shanshan, Li, Cheng, Wang, Rongpin, Liu, Zaiyi, Wang, Meiyun, Tan, Hongna, Wu, Yaping, Liu, Xinfeng, Sun, Hui, Yang, Rui, Liu, Xin, Chen, Jie, Zhou, Huihui, Ben Ayed, Ismail et Zheng, Hairong.
2021.
« Annotation-efficient deep learning for automatic medical image segmentation ».
Nature Communications, vol. 12, nº 1.
Ziko, I. M., Yuan, J., Grangers, E., Ben Ayed, I. et Assoc Advancement Artificial, Intelligence.
2021.
« Variational fair clustering ».
In 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)
Coll. « AAAI Conference on Artificial Intelligence », vol. 35.
pp. 11202-11209.
Association for the Advancement of Artificial Intelligence. 2020
Bateson, Mathilde, Kervadec, Hoel, Dolz, José, Lombaert, Hervé et Ben Ayed, Ismail.
2020.
« Source-relaxed domain adaptation for image segmentation ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 12261.
pp. 490-499.
Springer Science and Business Media Deutschland GmbH.
Bhuiyan, Amran, Liu, Yang, Siva, Parthipan, Javan, Mehrsan, Ben Ayed, Ismail et Granger, Éric.
2020.
« Pose guided gated fusion for person re-identification ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Snowmass Village, CO, USA, Mar. 01-05, 2020)
pp. 2664-2673.
Institute of Electrical and Electronics Engineers Inc..
Boudiaf, Malik, Masud, Ziko Imtiaz, Rony, Jérôme, Dolz, Jose, Piantanida, Pablo et Ben Ayed, Ismail.
2020.
« Transductive information maximization for few-shot learning ».
In Neural Information Processing Systems Online Conference (NeuroIPS) (En ligne, Dec. 06-12, 2020)
Boudiaf, Malik, Rony, Jérôme, Ziko, Imtiaz Masud, Granger, Eric, Pedersoli, Marco, Piantanida, Pablo et Ben Ayed, Ismail.
2020.
« A unifying mutual information view of metric learning: Cross-entropy vs. Pairwise losses ».
In Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12351.
pp. 548-564.
Springer.
Dolz, Jose, Desrosiers, Christian, Wang, Li, Yuan, Jing, Shen, Dinggang et Ben Ayed, Ismail.
2020.
« Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation ».
Computerized Medical Imaging and Graphics, vol. 79.
Galdran, Adrian, Chelbi, Jihed, Kobi, Riadh, Dolz, José, Lombaert, Hervé, Ben Ayed, Ismail et Chakor, Hadi.
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.
Galdran, Adrian, Dolz, Jose, Chakor, Hadi, Lombaert, Hervé et Ben Ayed, Ismail.
2020.
« Cost-sensitive regularization for diabetic retinopathy grading from eye fundus images ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 12265.
pp. 665-674.
Springer International Publishing.
Kervadec, Hoel, Dolz, Jose, Wang, Shanshan, Granger, Eric et Ben Ayed, Ismail.
2020.
« Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision ».
In Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020)
Coll. « Proceedings of Machine Learning Research », vol. 121.
pp. 365-381.
PLMR.
Peng, Jizong, Kervadec, Hoel, Dolz, Jose, Ben Ayed, Ismail, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Discretely-constrained deep network for weakly supervised segmentation ».
Neural Networks, vol. 130.
pp. 297-308.
Pichler, Georg, Dolz, Jose, Ben Ayed, Ismail et Piantanida, Pablo.
2020.
« On direct distribution matching for adapting segmentation networks ».
In Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020)
Coll. « Proceedings of Machine Learning Research », vol. 121.
pp. 624-637.
PLMR.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Soliman, Abraam S., Goela, Aashish, Islam, Ali, Li, Shuo et Noga, Michelle.
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.
Shen, Ruobing, Tang, Bo, Lodi, Andrea, Tramontani, Andrea et Ben Ayed, Ismail.
2020.
« An ILP model for multi-label MRFs with connectivity constraints ».
IEEE Transactions on Image Processing, vol. 29.
pp. 6909-6917.
Ziko, Imtiaz Masud, Dolz, Jose, Granger, Eric et Ben Ayed, Ismail.
2020.
« Laplacian regularized few-shot learning ».
In 37th International Conference on Machine Learning (ICML) (En ligne, July 12-18, 2020)
pp. 11596-11606.
2019
Bateson, Mathilde, Kervadec, Hoel, Dolz, Jose, Lombaert, Hervé et Ben Ayed, Ismail.
2019.
« Constrained domain adaptation for segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct. 13-17, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11765.
pp. 326-334.
Springer. Ben Ayed, Ismail, Desrosiers, Christian et Dolz, Jose. 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).
Dolz, Jose, Ben Ayed, Ismail et Desrosiers, Christian.
2019.
« Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 11383.
pp. 271-282.
Cham, Switzerland : Springer.
Dolz, Jose, Desrosiers, Christian et Ben Ayed, Ismail.
2019.
« IVD-Net: intervertebral disc localization and segmentation in MRI with a multi-modal UNet ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 11397.
pp. 130-143.
Springer Verlag.
Dolz, Jose, Gopinath, Karthik, Yuan, Jing, Lombaert, Herve, Desrosiers, Christian et Ben Ayed, Ismail.
2019.
« HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation ».
IEEE Transactions on Medical Imaging, vol. 38, nº 5.
pp. 1116-1126.
Galdran, Adrian, Chakor, Hadi, Abdulaziz, Abdulaziz, Kobbi, Ryad, Christodoulidis, Argyrios, Chelbi, Jihed, Racine, Marc-André et Ben Ayed, Ismail.
2019.
« Automatic classification and triage of diabetic retinopathy from retinal images based on a convolutional neural networks (CNN) method ».
[Résumé d'une communication à une conférence]. Acta Ophthalmologica, vol. 97.
p. 2.
Kervadec, Hoel, Bouchtiba, Jihene, Desrosiers, Christian, Granger, Eric, Dolz, Jose et Ben Ayed, Ismail.
2019.
« Boundary loss for highly unbalanced segmentation ».
In 2nd International Conference on Medical Imaging with Deep Learning (MIDL) (London, England, July 08-10, 2019)
Coll. « Proceedings of Machine Learning Research », vol. 102.
pp. 285-296.
PMLR.
Kervadec, Hoel, Dolz, Jose, Granger, Éric et Ben Ayed, Ismail.
2019.
« Curriculum semi-supervised segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct 13-17, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11765.
pp. 568-576.
Springer.
Kervadec, Hoel, Dolz, Jose, Tang, Meng, Granger, Éric, Boykov, Yuri et Ben Ayed, Ismail.
2019.
« Constrained-CNN losses for weakly supervised segmentation ».
Medical Image Analysis, vol. 54.
pp. 88-99.
Marin, Dmitrii, Tang, Meng, Ben Ayed, Ismail et Boykov, Yuri.
2019.
« Beyond gradient descent for regularized segmentation losses ».
In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Long Beach, CA, USA, June 15-20, 2019)
pp. 10179-10188.
IEEE.
Marin, Dmitrii, Tang, Meng, Ben Ayed, Ismail et Boykov, Yuri Y..
2019.
« Kernel clustering: density biases and solutions ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, nº 1.
pp. 136-147.
Rony, Jérôme, Hafemann, Luiz G., Oliveira, Luiz S., Ben Ayed, Ismail, Sabourin, Robert et Granger, Eric.
2019.
« Decoupling direction and norm for efficient gradient-based L2 adversarial attacks and defenses ».
In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Long Beach, CA, USA, June 15-20, 2019)
pp. 4317-4325.
IEEE.
Tang, Meng, Marin, Dmitrii, Ben Ayed, Ismail et Boykov, Yuri.
2019.
« Kernel cuts: Kernel and spectral clustering meet regularization ».
International Journal of Computer Vision, vol. 127, nº 5.
pp. 477-511.
Wang, Li, Nie, Dong, Guannan, Li, Puybareau, Élodie, Dolz, Jose, Zhang, Qian, Wang, Fan, Xia, Jing, Wu, Zhengwang, Chen, Jia-Wei, Thung, Kim-Han, Bui, Toan Duc, Shin, Jitae, Zeng, Guodong, Zheng, Guoyan, Fonov, Vladimir S., Doyle, Andrew, Xu, Yongchao, Moeskops, Pim, Pluim, Josien P. W., Desrosiers, Christian, Ben Ayed, Ismail, Sanroma, Gerard, Benkarim, Oualid M., Casamitjana, Adrià, Vilaplana, Verónica, Lin, Weili, Li, Gang et Shen, Dinggang.
2019.
« Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge ».
IEEE Transactions on Medical Imaging, vol. 38, nº 9.
pp. 2219-2230.
Xu, Xiaopan, Zhang, Xi, Tian, Qian, Wang, Huanjun, Cui, Long-Biao, Li, Shurong, Tang, Xing, Li, Baojun, Dolz, Jose, Ben Ayed, Ismail, Liang, Zhengrong, Yuan, Jing, Du, Peng, Lu, Hongbing et Liu, Yang.
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.
pp. 1489-1498. 2018Ben Ayed, Ismail, Pavlov, Dmitry, Punithakumar, Kumaradevan, Hojjat, Seyed-Parsa et Garvin, Gregory (inventeurs) 6 février 2018. « Methods and apparatus to label radiology images ». General Electric Company (titulaire(s)). Brevet américain US 9,886,546.
Carass, Aaron, Cuzzocreo, Jennifer L., Han, Shuo, Hernandez-Castillo, Carlos R., Rasser, Paul E., Ganz, Melanie, Beliveau, Vincent, Dolz, Jose, Ben Ayed, Ismail, Desrosiers, Christian, Thyreau, Benjamin, Romero, José E., Coupé, Pierrick, Manjón, José V., Fonov, Vladimir S., Collins, D. Louis, Ying, Sarah H., Onyike, Chiadi U., Crocetti, Deana, Landman, Bennett A., Mostofsky, Stewart H., Thompson, Paul M. et Prince, Jerry L..
2018.
« Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images ».
NeuroImage, vol. 183.
pp. 150-172.
Dolz, Jose, Ben Ayed, Ismail, Jing, Yuan et Desrosiers, Christian.
2018.
« Isointense infant brain segmentation with a hyper-dense connected convolutional neural network ».
In IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (Washington, DC, USA, Apr. 04-07, 2018)
pp. 616-620.
Piscataway, NJ, USA : IEEE.
Dolz, Jose, Desrosiers, Christian et Ben Ayed, Ismail.
2018.
« 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study ».
NeuroImage, vol. 170.
pp. 456-470.
Dolz, Jose, Xu, Xiaopan, Rony, Jérôme, Yuan, Jing, Liu, Yang, Granger, Éric, Desrosiers, Christian, Zhang, Xi, Ben Ayed, Ismail et Lu, Hongbing.
2018.
« Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks ».
Medical Physics, vol. 45, nº 12.
pp. 5482-5493.
Kervadec, Hoel, Dolz, Jose, Tang, Meng, Granger, Éric, Boykov, Yuri et Ben Ayed, Ismail.
2018.
« Constrained-CNN losses for weakly supervised segmentation ».
In 1st Conference on Medical Imaging with Deep Learning (MIDL 2018) (Amsterdam, Netherlands, July 4-6, 2018)
Tang, Meng, Perazzi, Federico, Djelouah, Abdelaziz, Ben Ayed, Ismail, Schroers, Christopher et Boykov, Yuri.
2018.
« On regularized losses for weakly-supervised CNN segmentation ».
In Computer Vision – ECCV 2018 : 15th European Conference : Proceedings (Munich, Germany, Sept. 08-14, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11220.
pp. 524-540.
Springer.
Ziko, Imtiaz Masud, Granger, Eric et Ben Ayed, Ismail.
2018.
« Scalable Laplacian K-modes ».
In Advances in Neural Information Processing Systems 31 (NeurIPS 2018) (Montreal, QC, Canada, Dec. 02-08, 2018)
pp. 10041-10051.
La Jolla : Neural Information Processing Systems (NIPS). 2017
Afshin, Mariam, Ben Ayed, Ismail, Punithakumar, Kumaradevan, Law, Max, Islam, Ali, Goela, Aashish, Peters, Terry et Li, Shuo.
29 août 2017.
« Automating Cardiac Disease Detection ».
[Article de recherche]. Substance ÉTS.
Afshin, Mariam, Ben Ayed, Ismail, Punithakumar, Kumaradevan, Law, Max, Islam, Ali, Goela, Aashish, Peters, Terry et Li, Shuo.
29 août 2017.
« Automatiser le dépistage des maladies cardiaques ».
[Article de recherche]. Substance ÉTS.
Dolz, Jose, Ben Ayed, Ismail et Desrosiers, Christian.
2017.
« DOPE: distributed optimization for pairwise energies ».
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Honolulu, HI, USA, July 21-26, 2017)
pp. 4095-4104.
IEEE Computer Society.
Dolz, Jose, Ben Ayed, Ismail et Desrosiers, Christian.
2017.
« Unbiased shape compactness for segmentation ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 10433.
pp. 755-763.
Springer Verlag.
Fechter, Tobias, Adebahr, Sonja, Baltas, Dimos, Ben Ayed, Ismail, Desrosiers, Christian et Dolz, Jose.
2017.
« Esophagus segmentation in CT via 3D fully convolutional neural network and random walk ».
Medical Physics, vol. 44, nº 12.
pp. 6341-6352.
Gorelick, Lena, Boykov, Yuri, Veksler, Olga, Ben Ayed, Ismail et Delong, Andrew.
2017.
« Local submodularization for binary pairwise energies ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, nº 10.
pp. 1985-1999.
Hojjat, Seyed-Parsa, Ayed, Ismail, Garvin, Gregory J. et Punithakumar, Kumaradevan.
2017.
« Spine labeling in MRI via regularized distribution matching ».
International Journal of Computer Assisted Radiology and Surgery, vol. 12, nº 11.
pp. 1911-1922.
Hwang, Byong jun, Ren, Jinchang, McCormack, Samuel, Berry, Craig, Ben Ayed, Ismail, Graber, Hans C. et Aptoula, Erchan.
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.
Mathlouthi, Yosra, Mitiche, Amar et Ben Ayed, Ismail.
2017.
« Regularised differentiation for image derivatives ».
IET Image Processing, vol. 11, nº 5.
pp. 310-316. 2016
Mathlouthi, Y., Mitiche, A. et Ben Ayed, I..
2016.
« Calcul variationnel des dérivées d’une image et application à l’estimation du flot optique et du flot de scène ».
In Reconnaissance des Formes et l'Intelligence Artificielle (RFIA'16) (Clermont Ferrand, France, 27 juin - 1 juil. 2016)
Mathlouthi, Yosra, Mitiche, Amar et Ben Ayed, Ismail.
2016.
« Boundary preserving variational image differentiation ».
In Pattern Recognition : 38th German Conference, GCPR 2016, Hannover, Germany, September 12-15, 2016, Proceedings (Hannover, Germany, Sept. 12-15, 2016)
Coll. « Lecture Notes in Computer Science », vol. 9796.
pp. 355-364.
Springer International Publishing.
Mathlouthi, Yosra, Mitiche, Amar et Ben Ayed, Ismail.
2016.
« Monocular, boundary-preserving joint recovery of scene flow and depth ».
Frontiers in ICT, vol. 3.
Miles, Brandon, Ben Ayed, Ismail, Hojjat, Seyed-Parsa, Wang, Michael H., Li, Shuo, Fenster, Aaron et Garvin, Gregory J..
2016.
« Spine labeling in axial magnetic resonance imaging via integral kernels ».
Computerized Medical Imaging and Graphics, vol. 54.
pp. 27-34.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Afshin, Mariam, Goela, Aashish, Islam, Ali, Li, Shuo, Boulanger, Pierre, Becher, Harald et Noga, Michelle.
2016.
« Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences ».
Computer Methods and Programs in Biomedicine, vol. 124.
pp. 58-66.
Schmidt, Frank R., Gorelick, Lena, Ben Ayed, Ismail, Boykov, Yuri et Brox, Thomas.
2016.
« Shape distances for binary image segmentation ».
In
Perspectives in Shape Analysis.
Coll. « Mathematics and Visualization ».
pp. 137-154. Springer Heidelberg.
Tang, Meng, Marin, Dmitrii, Ben Ayed, Ismail et Boykov, Yuri.
2016.
« Normalized Cut Meets MRF ».
In Computer Vision - ECCV 2016 : 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II (Amsterdam, Netherlands, Oct. 08-16, 2016)
Coll. « Lecture Notes in Computer Science », vol. 9906.
pp. 748-765.
Springer International Publishing. 2015Ben Ayed, Ismail. 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). Ben Ayed, Ismail, Punithakumar, Kumaradevan, Gill, Sukhdeep et Garvin, Gregory John (inventeurs) 24 février 2015. « Automatic detection of vertebrae boundaries in spine images ». General Electric Company, London Health Sciences Centre Inc. (titulaire(s)). Brevet américain US 8,965,083. Ben Ayed, Ismail, Punithakumar, Kumaradevan, Hojjat, Seyed-parsa et Garvin, Gregory (inventeurs) 23 juin 2015. « Methods and apparatus to generate three-dimensional spinal renderings ». General Electric Company (titulaire(s)). Brevet américain US 9,064,307.
Ben Ayed, Ismail, Punithakumar, Kumaradevan et Li, Shuo.
2015.
« Distribution matching with the Bhattacharyya similarity: a bound optimization framework ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, nº 9.
pp. 1777-1791. Boykov, Yuri, Isack, Hossam, Olsson, Carl et Ben Ayed, Ismail. 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).
Boykov, Yuri, Isack, Hossam, Olsson, Carl et Ben Ayed, Ismail.
2015.
« Volumetric bias in segmentation and reconstruction: secrets and solutions ».
In 2015 IEEE International Conference on Computer Vision (ICCV) (Santiago, Chile, Dec. 7-13, 2015)
pp. 1769-1777.
Los Alamitos, CA, USA : IEEE Computer Society.
Mitiche, Amar, Mathlouthi, Yosra et Ben Ayed, Ismail.
2015.
« Monocular concurrent recovery of structure and motion scene flow ».
Frontiers in ICT, vol. 2.
Njeh, Ines, Sallemi, Lamia, Ben Ayed, Ismail, Chtourou, Khalil, Lehericy, Stephane, Galanaud, Damien et Ben Hamida, Ahmed.
2015.
« 3D multimodal MRI brain glioma tumor and edema segmentation: a graph cut distribution matching approach ».
Computerized Medical Imaging and Graphics, vol. 40.
pp. 108-119.
Petitjean, Caroline, Zuluaga, Maria A., Bai, Wenjia, Dacher, Jean-Nicolas, Grosgeorge, Damien, Caudron, Jérôme, Ruan, Su, Ben Ayed, Ismail, Cardoso, M. Jorge, Chen, Hsiang-Chou, Jimenez-Carretero, Daniel, Ledesma-Carbayo, Maria J., Davatzikos, Christos, Doshi, Jimit, Erus, Guray, Maier, Oskar M. O., Nambakhsh, Cyrus M. S., Ou, Yangming, Ourselin, Sébastien, Peng, Chun-Wei, Peters, Nicholas S., Peters, Terry M., Rajchl, Martin, Rueckert, Daniel, Santos, Andres, Shi, Wenzhe, Wang, Ching-Wei, Wang, Haiyan et Yuan, Jing.
2015.
« Right ventricle segmentation from cardiac MRI: a collation study ».
Medical Image Analysis, vol. 19, nº 1.
pp. 187-202.
Punithakumar, Kumaradevan, Noga, Michelle, Ben Ayed, Ismail et Boulanger, Pierre.
2015.
« Right ventricular segmentation in cardiac MRI with moving mesh correspondences ».
Computerized Medical Imaging and Graphics, vol. 43.
pp. 15-25.
Tang, Meng, Ben Ayed, Ismail, Marin, Dmitrii et Boykov, Yuri.
2015.
« Secrets of GrabCut and Kernel K-Means ».
In 2015 IEEE International Conference on Computer Vision (ICCV) (Santiago, Chile, Dec. 7-13, 2015)
pp. 1555-1563.
Los Alamitos, CA, USA : IEEE Computer Society. Tang, Meng, Ben Ayed, Ismail, Marin, Dmitrii et Boykov, Yuri. 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). 2014
Afshin, Mariam, Ben Ayed, Ismail, Punithakumar, Kumaradevan, Law, Max, Islam, Ali, Goela, Aashish, Peters, Terry et Li, Shuo.
2014.
« Regional assessment of cardiac left ventricular myocardial function via MRI statistical features ».
IEEE Transactions on Medical Imaging, vol. 33, nº 2.
pp. 481-494.
Ben Ayed, Ismail.
2014.
« Distribution matching approaches to medical image segmentation ».
In
Computer Vision in Medical Imaging.
Coll. « Series in Computer Vision », vol. 2.
pp. 19-33. Singapore, Singapore : World Scientific Publishing Co. Pte. Ltd..
Ben Ayed, Ismail, Wang, Michael, Miles, Brandon et Garvin, Gregory J..
2014.
« TRIC: Trust region for invariant compactness and its application to abdominal aorta segmentation ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 8673.
pp. 381-388.
Springer Verlag.
Ben Salah, Mohamed, Ben Ayed, Ismail, Jing, Yuan et Hong, Zhang.
2014.
« Convex-relaxed kernel mapping for image segmentation ».
IEEE Transactions on Image Processing, vol. 23, nº 3.
pp. 1143-1153. Boykov, Yuri, Ben Ayed, Ismail, Cremers, Daniel et Sonka, Milan. 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).
Gorelick, Lena, Boykov, Yuri, Veksler, Olga, Ben Ayed, Ismail et Delong, Andrew.
2014.
« Submodularization for binary pairwise energies ».
In 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Columbus, OH, USA, June 23-28, 2014)
pp. 1154-1161.
IEEE.
Mathlouthi, Yosra, Mitiche, Amar et Ben Ayed, Ismail.
2014.
« Direct estimation of dense scene flow and depth from a monocular sequence ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 8887.
pp. 107-117.
Springer International Publishing. Punithakumar, Kumaradevan, Li, Shuo, Ben Ayed, Ismail, Ross, Ian, Islam, Ali et Rankin, Richard (inventeurs) 19 août 2014. « Methods, apparatus and articles of manufacture to track endocardial motion ». General Electric Company, London Health Sciences Centre Research Inc. (titulaire(s)). Brevet américain US 8,811,705.
Punithakumar, Kumaradevan, Noga, Michelle, Boulanger, Pierre, Ben Ayed, Ismail, Afshin, Mariam, Goela, Aashish, Islam, Ali et Li, Shuo.
2014.
« Detecting left ventricular impaired relaxation using MR imaging ».
In 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014 (Valencia, Spain, June 1-4, 2014)
pp. 310-313.
IEEE Computer Society.
Tang, Meng, Ben Ayed, Ismail et Boykov, Yuri.
2014.
« Pseudo-bound optimization for binary energies ».
In Computer Vision – ECCV 2014. 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V (Zurich, Switzerland, Sept. 6-12, 2014)
Coll. « Lecture Notes in Computer Science », vol. 8693.
pp. 691-707.
Springer International Publishing. 2013
Ben Ayed, Ismail, Gorelick, Lena et Boykov, Yuri.
2013.
« Auxiliary cuts for general classes of higher order functionals ».
In 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Portland, OR, USA, June 23-28, 2013)
pp. 1304-1311.
IEEE Computer Society.
Miles, Brandon, Ben Ayed, Ismail, Law, Max W. K., Garvin, Greg, Fenster, Aaron et Li, Shuo.
2013.
« Spine image fusion via graph cuts ».
IEEE Transactions on Biomedical Engineering, vol. 60, nº 7.
pp. 1841-1850.
Nambakhsh, Cyrus M. S., Jing, Yuan, Punithakumar, Kumaradevan, Goela, Aashish, Rajchl, Martin, Peters, Terry M. et Ben Ayed, Ismail.
2013.
« Left ventricle segmentation in MRI via convex relaxed distribution matching ».
Medical Image Analysis, vol. 17, nº 8.
pp. 1010-1024.
Nambakhsh, Cyrus M. S., Peters, Terry M., Islam, Ali et Ben Ayed, Ismail.
2013.
« Right ventricle segmentation with probability product kernel constraints ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 8149.
pp. 509-517.
Springer Verlag.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Islam, Ali, Goela, Aashish, Ross, Ian G., Chong, Jaron et Li, Shuo.
2013.
« Regional heart motion abnormality detection: An information theoretic approach ».
Medical Image Analysis, vol. 17, nº 3.
pp. 311-324. Punithakumar, Kumaradevan, Li, Shuo, Ben Ayed, Ismail, Ross, Ian, Islam, Ali et Rankin, Richard (inventeurs) 2 juillet 2013. « Methods, apparatus and articles of manufacture to process cardiac images to detect heart motion abnormalities ». General Electric Company (titulaire(s)). Brevet américain US 8,478,012. 2012
Afshin, Mariam, Ben Ayed, Ismail, Islam, Ali, Goela, Aashish, Peters, Terry M. et Li, Shuo.
2012.
« Global assessment of cardiac function using image statistics in MRI ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 7511.
pp. 535-543.
Springer Verlag.
Afshin, Mariam, Ben Ayed, Ismail, Islam, Ali, Goela, Aashish, Ross, Ian, Peters, Terry et Li, Shuo.
2012.
« Estimation of the cardiac ejection fraction from image statistics ».
In 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Proceedings (Barcelona, Spain, May 2-5, 2012)
pp. 824-827.
IEEE Computer Society.
Ben Ayed, Ismail, Chen, Hua-mei, Punithakumar, Kumaradevan, Ross, Ian et Li, Shuo.
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.
pp. 87-100.
Ben Ayed, Ismail, Punithakumar, Kumaradevan, Minhas, Rashid, Joshi, Rohit et Garvin, Gregory J..
2012.
« Vertebral body segmentation in MRI via convex relaxation and distribution matching ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 7510.
pp. 520-527.
Springer Verlag.
Ben Salah, M., Ben Ayed, I., Yuan, J., Wang, Z. et Zhang, H..
2012.
« Convex relaxation for image segmentation by kernel mapping ».
In 2012 19th IEEE International Conference on Image Processing (ICIP 2012) (Orlando, FL, USA, Sept. 30-Oct. 3, 2012)
pp. 289-292.
IEEE.
Ben Salah, Mohamed, Ben Ayed, Ismail et Mitiche, Amar.
2012.
« Active curve recovery of region boundary patterns ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, nº 5.
pp. 834-849. Li, Shuo, Ben Ayed, Ismail, Ross, Ian et Rankin, Richard (inventeurs) 27 mars 2012. « Systems and methods for tracking images ». General Electric Company (titulaire(s)). Brevet américain US 8,144,930.
Miles, Brandon, Law, Max W. K., Ben-Ayed, Ismail, Garvin, Greg, Fenster, Aaron et Li, Shuo.
2012.
« Pixel level image fusion for medical imaging: An energy minimizing approach ».
In Progress in Biomedical Optics and Imaging (San Diego, CA, USA, Feb. 7-9, 2012)
Coll. « Proceedings of SPIE », vol. 8315.
pp. 83151-1.
SPIE.
Njeh, Ines, Ben Ayed, Ismail et Ben Hamida, Ahmed.
2012.
« A distribution-matching approach to MRI brain tumor segmentation ».
In 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Proceedings (Barcelona, Spain, May 2-5, 2012)
pp. 1707-1710.
IEEE Computer Society.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Islam, Ali, Goela, Aashish et Li, Shuo.
2012.
« Regional heart motion abnormality detection via multiview fusion ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 7511.
pp. 527-534.
Springer Verlag.
Punithakumar, Kumaradevan, Yuan, Jing, Ben Ayed, Ismail, Li, Shuo et Boykov, Yuri.
2012.
« A convex max-flow approach to distribution-based figure-ground separation ».
SIAM Journal on Imaging Sciences, vol. 5, nº 4.
pp. 1333-1354. 2011
Afshin, Mariam, Ben Ayed, Ismail, Islam, Ali, Ross, Ian, Peters, Terry et Li, Shuo.
2011.
« Variational level-set segmentation and tracking of left ventricle using field prior ».
In Progress in Biomedical Optics and Imaging (Lake Buena Vista, FL, USA, Feb. 14-16, 2011)
Coll. « Proceedings of SPIE », vol. 7962.
SPIE.
Afshin, Mariam, Ben Ayed, Ismail, Punithakumar, Kumaradevan, Law, Max W. K., Islam, Ali, Goela, Aashish, Ross, Ian, Peters, Terry et Li, Shuo.
2011.
« Assessment of regional myocardial function via statistical features in MR images ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 6893.
pp. 107-114.
Springer Verlag.
Ben Ayed, Ismail, Punithakumar, Kumaradevan, Garvin, Gregory, Romano, Walter et Li, Shuo.
2011.
« Graph cuts with invariant object-interaction priors: application to intervertebral disc segmentation ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 6801.
pp. 221-232.
Springer Verlag.
Ben Salah, Mohamed, Mitiche, Amar et Ben Ayed, Ismail.
2011.
« Multiregion image segmentation by parametric kernel graph cuts ».
IEEE Transactions on Image Processing, vol. 20, nº 2.
pp. 545-557.
Mitiche, Amar et Ben Ayed, Ismail.
2011.
« Variational and level set methods in image segmentation ».
Springer Berlin Heidelberg. 190 p.
Nambakhsh, M. S., Punithakumar, Kumaradevan, Ben Ayed, Ismail, Goela, Aashish, Islam, Ali, Peters, Terry et Li, Shuo.
2011.
« A neural network learned information measures for heart motion abnormality detection ».
In Progress in Biomedical Optics and Imaging (Lake Buena Vista, FL, USA, Feb. 14-16, 2011)
Coll. « Proceedings of SPIE », vol. 7962.
SPIE.
Nambakhsh, Mohammad Saleh, Yuan, Jing, Ben Ayed, Ismail, Punithakumar, Kumaradevan, Goela, Aashish, Islam, Ali, Peters, Terry et Li, Shuo.
2011.
« A convex max-flow segmentation of LV using subject-specific distributions on cardiac MRI ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 6801.
pp. 171-183.
Springer Verlag. 2010
Ben Ayed, Ismail, Hua-mei, Chen, Punithakumar, Kumaradevan, Ross, Ian et Li, Shuo.
2010.
« Graph cut segmentation with a global constraint: recovering region distribution via a bound of the Bhattacharyya measure ».
In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (San Francisco, CA, USA, June 13-18, 2010)
pp. 3288-3295.
IEEE.
Ben Ayed, Ismail, Mitiche, Amar, Ben Salah, Mohamed et Li, Shuo.
2010.
« Finding image distributions on active curves ».
In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (San Francisco, CA, USA, June 13-18, 2010)
pp. 3225-3232.
IEEE.
Ben Salah, M., Mitiche, A. et Ben Ayed, I..
2010.
« Image partitioning with kernel mapping and graph cuts ».
In 2010 Proceedings of 17th IEEE International Conference on Image Processing (ICIP 2010) (Hong Kong, China, Sept. 26-29, 2010)
pp. 245-248.
IEEE.
Ben Salah, Mohamed, Mitiche, Amar et Ben Ayed, Ismail.
2010.
« Effective level set image segmentation with a kernel induced data term ».
IEEE Transactions on Image Processing, vol. 19, nº 1.
pp. 220-232.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Islam, Ali, Ross, Ian G. et Li, Shuo.
2010.
« Regional heart motion abnormality detection via information measures and unscented Kalman filtering ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 6361.
pp. 409-417.
Springer Verlag.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Islam, Ali, Ross, Ian G. et Li, Shuo.
2010.
« Tracking endocardial motion via multiple model filtering ».
IEEE Transactions on Biomedical Engineering, vol. 57, nº 8.
pp. 2001-2010.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Ross, Ian G., Islam, Ali, Chong, Jaron et Li, Shuo.
2010.
« Detection of left ventricular motion abnormality via information measures and Bayesian filtering ».
IEEE Transactions on Information Technology in Biomedicine, vol. 14, nº 4.
pp. 1106-1113. 2009
Ben Ayed, Ismail, Li, Shuo et Ross, Ian.
2009.
« A statistical overlap prior for variational image segmentation ».
International Journal of Computer Vision, vol. 85, nº 1.
pp. 115-132.
Ben Ayed, Ismail, Li, Shuo et Ross, Ian.
2009.
« Embedding overlap priors in variational left ventricle tracking ».
IEEE Transactions on Medical Imaging, vol. 28, nº 12.
pp. 1902-1913.
Ben Ayed, Ismail, Li, Shuo et Ross, Ian.
2009.
« Level set image segmentation with a statistical overlap constraint ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 5636.
pp. 589-601.
Springer Verlag.
Ben Ayed, Ismail, Li, Shuo, Ross, Ian et Islam, Ali.
2009.
« Myocardium tracking via matching distributions ».
International Journal of Computer Assisted Radiology and Surgery, vol. 4, nº 1.
pp. 37-44.
Ben Ayed, Ismail, Punithakumar, Kumaradevan, Li, Shuo, Islam, Ali et Chong, Jaron.
2009.
« Left ventricle segmentation via graph cut distribution matching ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 5762.
pp. 901-909.
Springer Verlag.
Ben Salah, M., Mitiche, A. et Ben Ayed, I..
2009.
« Image segmentation in a kernel-induced space ».
In Proceedings of the 2009 16th IEEE International Conference on Image Processing (ICIP 2009) (Cairo, Egypt, Nov. 7-10, 2009)
pp. 2997-3000.
IEEE.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Islam, Ali, Ross, Ian et Li, Shuo.
2009.
« Tracking endocardial boundary and motion via graph cut distribution matching and multiple model filtering ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 5996.
pp. 172-182.
Springer Verlag.
Punithakumar, Kumaradevan, Li, Shuo, Ben Ayed, Ismail, Ross, Ian, Islam, Ali et Chong, Jaron.
2009.
« Heart motion abnormality detection via an information measure and bayesian filtering ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 5762.
pp. 373-380.
Springer Verlag. 2008
Ben Ayed, Ismail, Li, Shuo, Islam, Ali, Garvin, Greg et Chhem, Rethy.
2008.
« Area prior constrained level set evolution for medical image segmentation ».
In Medical Imaging 2008: Image Processing (San Diego, CA, USA, Feb. 17-19, 2008)
Coll. « Proceedings of SPIE », vol. 6914.
pp. 691402-691401.
The International Society for Optical Engineering.
Ben Ayed, Ismail, Li, Shuo et Ross, Ian.
2008.
« Tracking distributions with an overlap prior ».
In 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Anchorage, AK, USA, June 23-28, 2008)
IEEE.
Ben Ayed, Ismail et Mitiche, Amar.
2008.
« A region merging prior for variational level set image segmentation ».
IEEE Transactions on Image Processing, vol. 17, nº 12.
pp. 2301-2311.
Ben Ayed, Ismail et Mitiche, Amar.
2008.
« Merging active contours ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 5359.
pp. 181-191.
Springer Verlag.
Ben Ayed, Ismail, Yingli, Lu, Li, Shuo et Ross, Ian.
2008.
« Left ventricle tracking using overlap priors ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 5241.
pp. 1025-1033.
Springer-Verlag.
Ben Salah, Mohamed, Ben Ayed, Ismail et Mitiche, Amar.
2008.
« Multiregion graph cut image segmentation ».
In VISAPP 2008 - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1 (Funchal, Portugal, Jan. 22-25, 2008)
pp. 535-538.
Institute for Systems and Technologies of Information, Control and Communication.
Ben Salah, Mohamed, Mitiche, Amar et Ben Ayed, Ismail.
2008.
« A continuous labeling for multiphase graph cut image partitioning ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 5358.
pp. 268-277.
Springer-Verlag. 2007
Ben Ayed, Ismail et Mitiche, Amar.
2007.
« Embedding a region merging prior in level set vector-valued image segmentation ».
In 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)
Coll. « Lecture Notes in Computer Science », vol. 4843.
pp. 925-934.
Springer Berlin Heidelberg. 2006
Ben Ayed, Ismail, Hennane, Nacera et Mitiche, Amar.
2006.
« Unsupervised variational image segmentation/classification using a weibull observation model ».
IEEE Transactions on Image Processing, vol. 15, nº 11.
pp. 3431-3439.
Ben Ayed, Ismail et Mitiche, Amar.
2006.
« A partition constrained minimization scheme for efficient multiphase level set image segmentation ».
In 2006 IEEE International Conference on Image Processing (Atlanta, GA, USA, Oct. 8-11, 2006)
pp. 1641-1644.
IEEE.
Ben Ayed, Ismail, Mitiche, Amar et Belhadj, Ziad.
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.
pp. 1493-1500.
Ben Ayed, Ismail, Mitiche, Amar et Belhadj, Ziad.
2006.
« Variational unsupervised classification of polarimetric images ».
In IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006 (Denver, CO, USA, July 31-Aug. 4, 2006)
pp. 4198-4200.
IEEE.
Ben Ayed, Ismail, Mitiche, Amar et Belhadj, Ziad.
2006.
« Variational unsupervised segmentation of multi-look complex polarimetric images using a wishart observation model ».
In 2006 IEEE International Conference on Image Processing (Atlanta, GA, USA, Oct. 8-11, 2006)
pp. 3233-3236.
IEEE. 2005
Ben Ayed, Ismail, Mitiche, Amar et Belhadj, Ziad.
2005.
« Level set curve evolution partitioning of polarimetric images ».
In IEEE International Conference on Image Processing, 2005. ICIP 2005 (Genoa, Italy, Sept. 11-14, 2005)
pp. 281-284.
IEEE.
Ben Ayed, Ismail, Mitiche, Amar et Belhadj, Ziad.
2005.
« Multiregion level-set partitioning of synthetic aperture radar images ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, nº 5.
pp. 793-800. 2004
Ben Ayed, Ismail, Vázquez, Carlos, Mitiche, Amar et Belhadj, Ziad.
2004.
« SAR image segmentation with active contours and level sets ».
In 2004 International Conference on Image Processing, 2004. ICIP '04 (Singapore, Singapore, Oct. 24-27, 2004)
pp. 2721-2720.
Piscataway, NJ, USA : IEEE.
Vázquez, Carlos, Mitiche, Amar et Ben Ayed, Ismail.
2004.
« Image segmentation as regularized clustering: a fully global curve evolution method ».
In 2004 International Conference on Image Processing, 2004. ICIP '04 (Singapore, Singapore, Oct. 24-27, 2004)
pp. 3467-3470.
Piscataway, NJ, USA : IEEE. |
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