Ismail Ben Ayed
Orcid: 0000-0002-9668-8027
According to our database1,
Ismail Ben Ayed
authored at least 220 papers
between 2004 and 2025.
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Bibliography
2025
A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision.
Medical Image Anal., 2025
2024
Simplex Clustering via sBeta With Applications to Online Adjustment of Black-Box Predictions.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Medical Image Anal., January, 2024
Trans. Mach. Learn. Res., 2024
Pattern Recognit., 2024
Comput. Vis. Image Underst., 2024
Words Matter: Leveraging Individual Text Embeddings for Code Generation in CLIP Test-Time Adaptation.
CoRR, 2024
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging.
CoRR, 2024
CoRR, 2024
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization.
CoRR, 2024
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D.
CoRR, 2024
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation.
CoRR, 2024
CoRR, 2024
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Boosting Vision-Language Models for Histopathology Classification: Predict All at Once.
Proceedings of the Foundation Models for General Medical AI, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do we Really need Prompt Learning?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
Medical Image Anal., 2023
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation.
Medical Image Anal., 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.
CoRR, 2023
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images.
CoRR, 2023
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos.
CoRR, 2023
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
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.
Proceedings of the Advances in Computer Graphics, 2023
2022
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty.
IEEE Trans. Medical Imaging, 2022
Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images.
CoRR, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
EURASIP J. Image Video Process., 2021
CoRR, 2021
A Preconditioned Alternating Minimization Framework for Nonconvex and Half Quadratic Optimization.
CoRR, 2021
Learning Data Augmentation with Online Bilevel Optimization for Image Classification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
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!
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Proceedings of the Information Processing in Medical Imaging, 2021
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?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Image Process., 2020
Neural Networks, 2020
CoRR, 2020
The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models.
CoRR, 2020
Comput. Medical Imaging Graph., 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
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.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses.
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Int. J. Comput. Vis., 2019
Deep weakly-supervised learning methods for classification and localization in histology images: a survey.
CoRR, 2019
Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework.
CoRR, 2019
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
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.
NeuroImage, 2018
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.
NeuroImage, 2018
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.
CoRR, 2018
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.
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.
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.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
2017
IEEE Trans. Pattern Anal. Mach. Intell., 2017
HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation.
CoRR, 2017
A 3D fully convolutional neural network and a random walker to segment the esophagus in CT.
CoRR, 2017
Int. J. Comput. Assist. Radiol. Surg., 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Frontiers ICT, 2016
Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences.
Comput. Methods Programs Biomed., 2016
Comput. Medical Imaging Graph., 2016
Proceedings of the Pattern Recognition - 38th German Conference, 2016
Proceedings of the Perspectives in Shape Analysis, 2016
2015
Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Medical Image Anal., 2015
Frontiers ICT, 2015
Comput. Medical Imaging Graph., 2015
3D multimodal MRI brain glioma tumor and edema segmentation: A graph cut distribution matching approach.
Comput. Medical Imaging Graph., 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
2014
Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features.
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Image Process., 2014
TRIC: Trust Region for Invariant Compactness and Its Application to Abdominal Aorta Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014
Proceedings of the Computer Vision - ECCV 2014, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
Medical Image Anal., 2013
Medical Image Anal., 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
SIAM J. Imaging Sci., 2012
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.
Medical Image Anal., 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
2011
IEEE Trans. Image Process., 2011
A neural network learned information measures for heart motion abnormality detection.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
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.
Proceedings of the Information Processing in Medical Imaging, 2011
Graph Cuts with Invariant Object-Interaction Priors: Application to Intervertebral Disc Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2011
2010
Detection of left ventricular motion abnormality via information measures and Bayesian filtering.
IEEE Trans. Inf. Technol. Biomed., 2010
IEEE Trans. Image Process., 2010
IEEE Trans. Biomed. Eng., 2010
Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the International Conference on Image Processing, 2010
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.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
2009
IEEE Trans. Medical Imaging, 2009
Int. J. Comput. Vis., 2009
Int. J. Comput. Assist. Radiol. Surg., 2009
Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Information Processing in Medical Imaging, 2009
Proceedings of the International Conference on Image Processing, 2009
Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering.
Proceedings of the Computer Vision, 2009
2008
IEEE Trans. Image Process., 2008
Multiregion Graph Cut Image Segmentation.
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
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Proceedings of the Computer Vision, 2007
2006
Unsupervised Variational Image Segmentation/Classification Using a Weibull Observation Model.
IEEE Trans. Image Process., 2006
Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets.
IEEE Trans. Pattern Anal. Mach. Intell., 2006
Variational Unsupervised Segmentation of Multi-Look Complex Polarimetric Images using a Wishart Observation Model.
Proceedings of the International Conference on Image Processing, 2006
A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation.
Proceedings of the International Conference on Image Processing, 2006
2005
IEEE Trans. Pattern Anal. Mach. Intell., 2005
Proceedings of the 2005 International Conference on Image Processing, 2005
2004
Proceedings of the 2004 International Conference on Image Processing, 2004
Sar image segmentation with active contours and level sets.
Proceedings of the 2004 International Conference on Image Processing, 2004