Ismail Ben Ayed

According to our database, Ismail Ben Ayed authored at least 195 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Do we really need dice? The hidden region-size biases of segmentation losses.

Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed

Medical Image Anal., January, 2024

Do not trust what you trust: Miscalibration in Semi-supervised Learning.

Shambhavi Mishra, Balamurali Murugesan, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz

CoRR, 2024

Class and Region-Adaptive Constraints for Network Calibration.

Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz

CoRR, 2024

Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints.

Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz

CoRR, 2024

Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation.

Balamurali Murugesan, Rukhshanda Hussain, Rajarshi Bhattacharya, Ismail Ben Ayed, Jose Dolz

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Bag of Tricks for Fully Test-Time Adaptation.

Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Adversarial Robustness Via Fisher-Rao Regularization.

Marine Picot, Francisco Messina, Malik Boudiaf, Fabrice Labeau, Ismail Ben Ayed, Pablo Piantanida

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Calibrating segmentation networks with margin-based label smoothing.

Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz

Medical Image Anal., 2023

Segmentation with mixed supervision: Confidence maximization helps knowledge distillation.

Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz

Medical Image Anal., 2023

A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models.

Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, Jose Dolz

CoRR, 2023

A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer.

Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed

CoRR, 2023

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.

Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida

CoRR, 2023

ClusT3: Information Invariant Test-Time Training.

Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers

CoRR, 2023

Aggregated f-average Neural Network for Interpretable Ensembling.

Mathieu Vu, Émilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed

CoRR, 2023

A Foundation LAnguage-Image model of the Retina (FLAIR): Encoding expert knowledge in text supervision.

Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi, Jose Dolz, Ismail Ben Ayed

CoRR, 2023

Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images.

Saypraseuth Mounsaveng, Issam H. Laradji, David Vázquez, Marco Pedersoli, Ismail Ben Ayed

CoRR, 2023

Task Adaptive Feature Transformation for One-Shot Learning.

Imtiaz Masud Ziko, Freddy Lécué, Ismail Ben Ayed

CoRR, 2023

Transductive few-shot adapters for medical image segmentation.

Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed

CoRR, 2023

TFS-ViT: Token-Level Feature Stylization for Domain Generalization.

Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers

CoRR, 2023

CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos.

Soufiane Belharbi, Shakeeb Murtaza, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2023

TTTFlow: Unsupervised Test-Time Training with Normalizing Flow.

David Osowiechi, Gustavo Adolfo Vargas Hakim, Mehrdad Noori, Milad Cheraghalikhani, Ismail Ben Ayed, Christian Desrosiers

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos.

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation.

Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Trust Your Neighbours: Penalty-Based Constraints for Model Calibration.

Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ClusT3: Information Invariant Test-Time Training.

Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Ismail Ben Ayed, Christian Desrosiers

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Parametric Information Maximization for Generalized Category Discovery.

Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.

Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ben Ayed, Pablo Piantanida

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Proximal Splitting Adversarial Attack for Semantic Segmentation.

Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Class Adaptive Network Calibration.

Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Strong Baseline for Generalized Few-Shot Semantic Segmentation.

Sina Hajimiri, Malik Boudiaf, Ismail Ben Ayed, Jose Dolz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Open-Set Likelihood Maximization for Few-Shot Learning.

Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy.

Julio Silva-Rodríguez, Jihed Chelbi, Waziha Kabir, Hadi Chakor, Jose Dolz, Ismail Ben Ayed, Riadh Kobbi

Proceedings of the Advances in Computer Graphics, 2023

2022

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty.

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

IEEE Trans. Medical Imaging, 2022

Source-free domain adaptation for image segmentation.

Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed

Medical Image Anal., 2022

Connectivity-constrained Interactive Panoptic Segmentation.

Ruobing Shen, Bo Tang, Andrea Lodi, Ismail Ben Ayed, Thomas Guthier

CoRR, 2022

Mutual Information-based Generalized Category Discovery.

Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed

CoRR, 2022

Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions.

Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed

CoRR, 2022

Model-Agnostic Few-Shot Open-Set Recognition.

Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed

CoRR, 2022

Proximal Splitting Adversarial Attacks for Semantic Segmentation.

Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed

CoRR, 2022

FHIST: A Benchmark for Few-shot Classification of Histological Images.

Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou

CoRR, 2022

Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images.

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2022

F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling.

Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference.

Ségolène Martin, Malik Boudiaf, Émilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Negative Evidence Matters in Interpretable Histology Image Classification.

Soufiane Belharbi, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Test-Time Adaptation with Shape Moments for Image Segmentation.

Mathilde Bateson, Herve Lombaert, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Constrained deep networks: Lagrangian optimization via Log-barrier extensions.

Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed

Proceedings of the 30th European Signal Processing Conference, 2022

The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration.

Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Parameter-free Online Test-time Adaptation.

Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Constrained Domain Adaptation for Image Segmentation.

Mathilde Bateson, José Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed

IEEE Trans. Medical Imaging, 2021

Deep Clustering: On the Link Between Discriminative Models and K-Means.

Mohammed Jabi, Marco Pedersoli, Amar Mitiche, Ismail Ben Ayed

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Boundary loss for highly unbalanced segmentation.

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed

Medical Image Anal., 2021

Flow guided mutual attention for person re-identification.

Madhu Kiran, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Louis-Antoine Blais-Morin, Ismail Ben Ayed, Eric Granger

Image Vis. Comput., 2021

Exploiting prunability for person re-identification.

Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger

EURASIP J. Image Video Process., 2021

Mixed-supervised segmentation: Confidence maximization helps knowledge distillation.

Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz

CoRR, 2021

F-CAM: Full Resolution CAM via Guided Parametric Upscaling.

Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2021

A Preconditioned Alternating Minimization Framework for Nonconvex and Half Quadratic Optimization.

Shengxiang Deng, Ismail Ben Ayed, Hongpeng Sun

CoRR, 2021

Mutual-Information Based Few-Shot Classification.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida

CoRR, 2021

Transductive Few-Shot Learning: Clustering is All You Need?

Imtiaz Masud Ziko, Malik Boudiaf, Jose Dolz, Eric Granger, Ismail Ben Ayed

CoRR, 2021

The hidden label-marginal biases of segmentation losses.

Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed

CoRR, 2021

Learning Data Augmentation with Online Bilevel Optimization for Image Classification.

Saypraseuth Mounsaveng, Issam H. Laradji, Ismail Ben Ayed, David Vázquez, Marco Pedersoli

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Deep Active Learning for Joint Classification & Segmentation with Weak Annotator.

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

On the Texture Bias for Few-Shot CNN Segmentation.

Reza Azad, Abdur R. Fayjie, Claude Kauffmann, Ismail Ben Ayed, Marco Pedersoli, Jose Dolz

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Realistic evaluation of transductive few-shot learning.

Olivier Veilleux, Malik Boudiaf, Pablo Piantanida, Ismail Ben Ayed

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!

Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, Jose Dolz, Ismail Ben Ayed

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Teach Me to Segment with Mixed Supervision: Confident Students Become Masters.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed

Proceedings of the Information Processing in Medical Imaging, 2021

Augmented Lagrangian Adversarial Attacks.

Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?

Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Variational Fair Clustering.

Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

An ILP Model for Multi-Label MRFs With Connectivity Constraints.

Ruobing Shen, Bo Tang, Andrea Lodi, Andrea Tramontani, Ismail Ben Ayed

IEEE Trans. Image Process., 2020

Discretely-constrained deep network for weakly supervised segmentation.

Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers

Neural Networks, 2020

AIDE: Annotation-efficient deep learning for automatic medical image segmentation.

Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang

CoRR, 2020

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models.

Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed

CoRR, 2020

Transductive Information Maximization For Few-Shot Learning.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed

CoRR, 2020

Flow-Guided Attention Networks for Video-Based Person Re-Identification.

Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Mehrsan Javan, Ismail Ben Ayed, Eric Granger

CoRR, 2020

Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track.

Tal Arbel, Ismail Ben Ayed, Marleen de Bruijne, Maxime Descoteaux, Herve Lombaert, Chris Pal

CoRR, 2020

Metric learning: cross-entropy vs. pairwise losses.

Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed

CoRR, 2020

Semi-supervised few-shot learning for medical image segmentation.

Abdur R. Fayjie, Reza Azad, Marco Pedersoli, Claude Kauffmann, Ismail Ben Ayed, Jose Dolz

CoRR, 2020

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation.

Jose Dolz, Christian Desrosiers, Li Wang, Jing Yuan, Dinggang Shen, Ismail Ben Ayed

Comput. Medical Imaging Graph., 2020

Pose Guided Gated Fusion for Person Re-identification.

Amran Bhuiyan, Yang Liu, Parthipan Siva, Mehrsan Javan, Ismail Ben Ayed, Eric Granger

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Information Maximization for Few-Shot Learning.

Malik Boudiaf, Imtiaz Masud Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, Ismail Ben Ayed

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Direct Distribution Matching for Adapting Segmentation Networks.

Georg Pichler, Jose Dolz, Ismail Ben Ayed, Pablo Piantanida

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision.

Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images.

Adrian Galdran, Jose Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Source-Relaxed Domain Adaptation for Image Segmentation.

Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Laplacian Regularized Few-Shot Learning.

Imtiaz Masud Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed

Proceedings of the 37th International Conference on Machine Learning, 2020

A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses.

Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.

Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei 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

IEEE Trans. Medical Imaging, 2019

HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation.

Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed

IEEE Trans. Medical Imaging, 2019

Kernel Clustering: Density Biases and Solutions.

Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Constrained-CNN losses for weakly supervised segmentation.

Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed

Medical Image Anal., 2019

Kernel Cuts: Kernel and Spectral Clustering Meet Regularization.

Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov

Int. J. Comput. Vis., 2019

Deep Ordinal Classification with Inequality Constraints.

Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2019

Adversarial Learning of General Transformations for Data Augmentation.

Saypraseuth Mounsaveng, David Vázquez, Ismail Ben Ayed, Marco Pedersoli

CoRR, 2019

Deep weakly-supervised learning methods for classification and localization in histology images: a survey.

Jérôme Rony, Soufiane Belharbi, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2019

Universal Adversarial Audio Perturbations.

Sajjad Abdoli, Luiz G. Hafemann, Jérôme Rony, Ismail Ben Ayed, Patrick Cardinal, Alessandro L. Koerich

CoRR, 2019

Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework.

Soufiane Belharbi, Jérôme Rony, Jose Dolz, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2019

A Survey of Pruning Methods for Efficient Person Re-identification Across Domains.

Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine, Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Eric Granger

CoRR, 2019

Clustering with Fairness Constraints: A Flexible and Scalable Approach.

Imtiaz Masud Ziko, Eric Granger, Jing Yuan, Ismail Ben Ayed

CoRR, 2019

Log-barrier constrained CNNs.

Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed

CoRR, 2019

Curriculum Semi-supervised Segmentation.

Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Constrained Domain Adaptation for Segmentation.

Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses.

Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Beyond Gradient Descent for Regularized Segmentation Losses.

Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed

NeuroImage, 2018

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.

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, Jerry L. Prince

NeuroImage, 2018

ADM for grid CRF loss in CNN segmentation.

Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov

CoRR, 2018

Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.

Jose Dolz, Xiaopan Xu, Jérôme Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu

CoRR, 2018

Constrained-CNN losses forweakly supervised segmentation.

Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed

CoRR, 2018

Scalable Laplacian K-modes.

Imtiaz Masud Ziko, Eric Granger, Ismail Ben Ayed

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet.

Jose Dolz, Christian Desrosiers, Ismail Ben Ayed

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018

Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities.

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Isointense infant brain segmentation with a hyper-dense connected convolutional neural network.

Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

On Regularized Losses for Weakly-supervised CNN Segmentation.

Meng Tang, Federico Perazzi, Abdelaziz Djelouah, Ismail Ben Ayed, Christopher Schroers, Yuri Boykov

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Local Submodularization for Binary Pairwise Energies.

Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Regularised differentiation for image derivatives.

Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed

IET Image Process., 2017

An ILP Solver for Multi-label MRFS with Connectivity Constraints.

Ruobing Shen, Eric Kendinibilir, Ismail Ben Ayed, Andrea Lodi, Andrea Tramontani, Gerhard Reinelt

CoRR, 2017

HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation.

Jose Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers

CoRR, 2017

A 3D fully convolutional neural network and a random walker to segment the esophagus in CT.

Tobias Fechter, Sonja Adebahr, Dimos Baltas, Ismail Ben Ayed, Christian Desrosiers, Jose Dolz

CoRR, 2017

Spine labeling in MRI via regularized distribution matching.

Seyed-Parsa Hojjat, Ismail Ben Ayed, Gregory J. Garvin, Kumaradevan Punithakumar

Int. J. Comput. Assist. Radiol. Surg., 2017

Unbiased Shape Compactness for Segmentation.

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

DOPE: Distributed Optimization for Pairwise Energies.

Jose Dolz, Ismail Ben Ayed, Christian Desrosiers

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Monocular, Boundary-Preserving Joint Recovery of Scene Flow and Depth.

Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed

Frontiers ICT, 2016

Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences.

Kumaradevan Punithakumar, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li, Pierre Boulanger, Harald Becher, Michelle Noga

Comput. Methods Programs Biomed., 2016

Spine labeling in axial magnetic resonance imaging via integral kernels.

Brandon Miles, Ismail Ben Ayed, Seyed-Parsa Hojjat, Michael Wang, Shuo Li, Aaron Fenster, Gregory J. Garvin

Comput. Medical Imaging Graph., 2016

Normalized Cut Meets MRF.

Meng Tang, Dmitrii Marin, Ismail Ben Ayed, Yuri Boykov

Proceedings of the Computer Vision - ECCV 2016, 2016

Boundary Preserving Variational Image Differentiation.

Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed

Proceedings of the Pattern Recognition - 38th German Conference, 2016

Shape Distances for Binary Image Segmentation.

Frank R. Schmidt, Lena Gorelick, Ismail Ben Ayed, Yuri Boykov, Thomas Brox

Proceedings of the Perspectives in Shape Analysis, 2016

2015

Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework.

Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Right ventricle segmentation from cardiac MRI: A collation study.

Caroline Petitjean, Maria A. Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, Jérôme Caudron, Su Ruan, Ismail Ben Ayed, Manuel Jorge Cardoso, Hsiang-Chou Chen, Daniel Jimenez-Carretero, María J. Ledesma-Carbayo, Christos Davatzikos, Jimit Doshi, Güray 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, Andrés Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan

Medical Image Anal., 2015

Monocular Concurrent Recovery of Structure and Motion Scene Flow.

Amar Mitiche, Yosra Mathlouthi, Ismail Ben Ayed

Frontiers ICT, 2015

Right ventricular segmentation in cardiac MRI with moving mesh correspondences.

Kumaradevan Punithakumar, Michelle Noga, Ismail Ben Ayed, Pierre Boulanger

Comput. Medical Imaging Graph., 2015

3D multimodal MRI brain glioma tumor and edema segmentation: A graph cut distribution matching approach.

Ines Njeh, Lamia Sallemi, Ismail Ben Ayed, Khalil Chtourou, Stéphane Lehéricy, Damien Galanaud, Ahmed Ben Hamida

Comput. Medical Imaging Graph., 2015

Secrets of GrabCut and Kernel K-Means.

Meng Tang, Ismail Ben Ayed, Dmitrii Marin, Yuri Boykov

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions.

Yuri Boykov, Hossam N. Isack, Carl Olsson, Ismail Ben Ayed

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features.

Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Terry M. Peters, Shuo Li

IEEE Trans. Medical Imaging, 2014

Convex-Relaxed Kernel Mapping for Image Segmentation.

Mohamed Ben Salah, Ismail Ben Ayed, Jing Yuan, Hong Zhang

IEEE Trans. Image Process., 2014

TRIC: Trust Region for Invariant Compactness and Its Application to Abdominal Aorta Segmentation.

Ismail Ben Ayed, Michael Wang, Brandon Miles, Gregory J. Garvin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Direct Estimation of Dense Scene Flow and Depth from a Monocular Sequence.

Yosra Mathlouthi, Amar Mitiche, Ismail Ben Ayed

Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Pseudo-bound Optimization for Binary Energies.

Meng Tang, Ismail Ben Ayed, Yuri Boykov

Proceedings of the Computer Vision - ECCV 2014, 2014

Submodularization for Binary Pairwise Energies.

Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Detecting left ventricular impaired relaxation using MR imaging.

Kumaradevan Punithakumar, Michelle Noga, Pierre Boulanger, Ismail Ben Ayed, Mariam Afshin, Aashish Goela, Ali Islam, Shuo Li

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013

Spine Image Fusion Via Graph Cuts.

Brandon Miles, Ismail Ben Ayed, Max W. K. Law, Gregory J. Garvin, Aaron Fenster, Shuo Li

IEEE Trans. Biomed. Eng., 2013

Regional heart motion abnormality detection: An information theoretic approach.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Jaron Chong, Shuo Li

Medical Image Anal., 2013

Left ventricle segmentation in MRI via convex relaxed distribution matching.

Cyrus M. S. Nambakhsh, Jing Yuan, Kumaradevan Punithakumar, Aashish Goela, Martin Rajchl, Terry M. Peters, Ismail Ben Ayed

Medical Image Anal., 2013

Submodularization for Quadratic Pseudo-Boolean Optimization.

Lena Gorelick, Yuri Boykov, Olga Veksler, Ismail Ben Ayed, Andrew Delong

CoRR, 2013

An Experimental Comparison of Trust Region and Level Sets.

Lena Gorelick, Ismail Ben Ayed, Frank R. Schmidt, Yuri Boykov

CoRR, 2013

Right Ventricle Segmentation with Probability Product Kernel Constraints.

Cyrus M. S. Nambakhsh, Terry M. Peters, Ali Islam, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Auxiliary Cuts for General Classes of Higher Order Functionals.

Ismail Ben Ayed, Lena Gorelick, Yuri Boykov

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation.

Kumaradevan Punithakumar, Jing Yuan, Ismail Ben Ayed, Shuo Li, Yuri Boykov

SIAM J. Imaging Sci., 2012

Active Curve Recovery of Region Boundary Patterns.

Mohamed Ben Salah, Ismail Ben Ayed, Amar Mitiche

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure.

Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li

Medical Image Anal., 2012

Regional Heart Motion Abnormality Detection via Multiview Fusion.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Shuo Li

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Vertebral Body Segmentation in MRI via Convex Relaxation and Distribution Matching.

Ismail Ben Ayed, Kumaradevan Punithakumar, Rashid Minhas, Rohit Joshi, Gregory J. Garvin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Global Assessment of Cardiac Function Using Image Statistics in MRI.

Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Terry M. Peters, Shuo Li

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Pixel level image fusion for medical imaging: an energy minimizing approach.

Brandon Miles, Max W. K. Law, Ismail Ben Ayed, Gregory J. Garvin, Aaron Fenster, Shuo Li

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

A distribution-matching approach to MRI brain tumor segmentation.

Ines Njeh, Ismail Ben Ayed, Ahmed Ben Hamida

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Estimation of the Cardiac Ejection Fraction from image statistics.

Mariam Afshin, Ismail Ben Ayed, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Convex relaxation for image segmentation by kernel mapping.

Mohamed Ben Salah, Ismail Ben Ayed, Jing Yuan, Zhijie Wang, Hong Zhang

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Multiregion Image Segmentation by Parametric Kernel Graph Cuts.

Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed

IEEE Trans. Image Process., 2011

A neural network learned information measures for heart motion abnormality detection.

Mohammad Saleh Nambakhsh, Kumaradevan Punithakumar, Ismail Ben Ayed, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Variational level-set segmentation and tracking of left ventricle using field prior.

Mariam Afshin, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Terry M. Peters, Shuo Li

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Assessment of Regional Myocardial Function via Statistical Features in MR Images.

Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

A Convex Max-Flow Segmentation of LV Using Subject-Specific Distributions on Cardiac MRI.

Mohammad Saleh Nambakhsh, Jing Yuan, Ismail Ben Ayed, Kumaradevan Punithakumar, Aashish Goela, Ali Islam, Terry M. Peters, Shuo Li

Proceedings of the Information Processing in Medical Imaging, 2011

Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation.

Ismail Ben Ayed, Kumaradevan Punithakumar, Gregory J. Garvin, Walter Romano, Shuo Li

Proceedings of the Information Processing in Medical Imaging, 2011

2010

Detection of left ventricular motion abnormality via information measures and Bayesian filtering.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong, Shuo Li

IEEE Trans. Inf. Technol. Biomed., 2010

Effective Level Set Image Segmentation With a Kernel Induced Data Term.

Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed

IEEE Trans. Image Process., 2010

Tracking Endocardial Motion Via Multiple Model Filtering.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li

IEEE Trans. Biomed. Eng., 2010

Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Image partitioning with kernel mapping and graph cuts.

Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed

Proceedings of the International Conference on Image Processing, 2010

Finding image distributions on active curves.

Ismail Ben Ayed, Amar Mitiche, Mohamed Ben Salah, Shuo Li

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure.

Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Embedding Overlap Priors in Variational Left Ventricle Tracking.

Ismail Ben Ayed, Shuo Li, Ian G. Ross

IEEE Trans. Medical Imaging, 2009

A Statistical Overlap Prior for Variational Image Segmentation.

Ismail Ben Ayed, Shuo Li, Ian G. Ross

Int. J. Comput. Vis., 2009

Myocardium tracking via matching distributions.

Ismail Ben Ayed, Shuo Li, Ian G. Ross, Ali Islam

Int. J. Comput. Assist. Radiol. Surg., 2009

Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering.

Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Left Ventricle Segmentation via Graph Cut Distribution Matching.

Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Ali Islam, Jaron Chong

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Level Set Image Segmentation with a Statistical Overlap Constraint.

Ismail Ben Ayed, Shuo Li, Ian G. Ross

Proceedings of the Information Processing in Medical Imaging, 2009

Image segmentation in a kernel-induced space.

Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed

Proceedings of the International Conference on Image Processing, 2009

Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering.

Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li

Proceedings of the Computer Vision, 2009

2008

A Region Merging Prior for Variational Level Set Image Segmentation.

Ismail Ben Ayed, Amar Mitiche

IEEE Trans. Image Process., 2008

Multiregion Graph Cut Image Segmentation.

Mohamed Ben Salah, Ismail Ben Ayed, Amar Mitiche

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Area prior constrained level set evolution for medical image segmentation.

Ismail Ben Ayed, Shuo Li, Ali Islam, Gregory J. Garvin, Rethy Chhem

Proceedings of the Medical Imaging 2008: Image Processing, 2008

Left Ventricle Tracking Using Overlap Priors.

Ismail Ben Ayed, Yingli Lu, Shuo Li, Ian G. Ross

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

A Continuous Labeling for Multiphase Graph Cut Image Partitioning.

Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed

Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Merging Active Contours.

Ismail Ben Ayed, Amar Mitiche

Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Tracking distributions with an overlap prior.

Ismail Ben Ayed, Shuo Li, Ian G. Ross

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Embedding a Region Merging Prior in Level Set Vector-Valued Image Segmentation.

Ismail Ben Ayed, Amar Mitiche

Proceedings of the Computer Vision, 2007

2006

Unsupervised Variational Image Segmentation/Classification Using a Weibull Observation Model.

Ismail Ben Ayed, N. Hennane, Amar Mitiche

IEEE Trans. Image Process., 2006

Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets.

Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Variational Unsupervised Segmentation of Multi-Look Complex Polarimetric Images using a Wishart Observation Model.

Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj

Proceedings of the International Conference on Image Processing, 2006

A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation.

Ismail Ben Ayed, Amar Mitiche

Proceedings of the International Conference on Image Processing, 2006

2005

Multiregion Level-Set Partitioning of Synthetic Aperture Radar Images.

Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Level set curve evolution partitioning of polarimetric images.

Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj

Proceedings of the 2005 International Conference on Image Processing, 2005

2004

Image segmentation as regularized clustering: a fully global curve evolution method.

Carlos Vázquez, Amar Mitiche, Ismail Ben Ayed

Proceedings of the 2004 International Conference on Image Processing, 2004

Sar image segmentation with active contours and level sets.

Ismail Ben Ayed, Carlos Vázquez, Amar Mitiche, Ziad Belhadj

Proceedings of the 2004 International Conference on Image Processing, 2004