Ismail Ben Ayed

6.6k total citations · 1 hit paper
136 papers, 3.1k citations indexed

About

Ismail Ben Ayed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ismail Ben Ayed has authored 136 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Computer Vision and Pattern Recognition, 51 papers in Artificial Intelligence and 33 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ismail Ben Ayed's work include Medical Image Segmentation Techniques (54 papers), Advanced Neural Network Applications (35 papers) and Domain Adaptation and Few-Shot Learning (23 papers). Ismail Ben Ayed is often cited by papers focused on Medical Image Segmentation Techniques (54 papers), Advanced Neural Network Applications (35 papers) and Domain Adaptation and Few-Shot Learning (23 papers). Ismail Ben Ayed collaborates with scholars based in Canada, Spain and France. Ismail Ben Ayed's co-authors include José Dolz, Amar Mitiche, Christian Desrosiers, Shuo Li, Éric Granger, Hoel Kervadec, Kumaradevan Punithakumar, Mohamed Ben Salah, Ian Ross and Yuri Boykov and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Scientific Reports.

In The Last Decade

Ismail Ben Ayed

124 papers receiving 2.9k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Boundary loss for highly unbalanced segmentation

2020 274 citations Hoel Kervadec, Christian Desrosiers et al. Medical Image Analysis profile →

Peers

Countries citing papers authored by Ismail Ben Ayed

Since Specialization

Citations

This map shows the geographic impact of Ismail Ben Ayed's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ismail Ben Ayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ismail Ben Ayed more than expected).

Fields of papers citing papers by Ismail Ben Ayed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ismail Ben Ayed. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ismail Ben Ayed. The network helps show where Ismail Ben Ayed may publish in the future.

Co-authorship network of co-authors of Ismail Ben Ayed

This figure shows the co-authorship network connecting the top 25 collaborators of Ismail Ben Ayed. A scholar is included among the top collaborators of Ismail Ben Ayed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ismail Ben Ayed. Ismail Ben Ayed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	CoLo-CAM: Class activation mapping for object co-localization in weakly-labeled unconstrained videos 2025 ·Pattern Recognition ·Soufiane Belharbi, (unknown), Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Éric Granger	0
2	Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification 2025 ·Espace ÉTS (ETS) ·(unknown), (unknown), (unknown), (unknown), Benoı̂t Macq, Saïd Mahmoudi, Christophe De Vleeschouwer, Ismail Ben Ayed	2
3	Spectral Informed Mamba for Robust Point Cloud Processing 2025 ·Espace ÉTS (ETS) ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Ismail Ben Ayed, Christian Desrosiers	0
4	Structure-aware feature stylization for domain generalization 2024 ·Computer Vision and Image Understanding ·(unknown), (unknown), (unknown), (unknown), Ismail Ben Ayed, Christian Desrosiers	1
5	On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do we Really need Prompt Learning? 2024 ·Espace ÉTS (ETS) ·(unknown), Ismail Ben Ayed	7
6	Low-Rank Few-Shot Adaptation of Vision-Language Models 2024 ·Espace ÉTS (ETS) ·(unknown), Ismail Ben Ayed	17
7	Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models 2023 ·SPIRE - Sciences Po Institutional REpository ·(unknown), (unknown), (unknown), (unknown), (unknown), Ismail Ben Ayed, Pablo Piantanida	3
8	Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey 2023 ·arXiv (Cornell University) ·Jérôme Rony, Soufiane Belharbi, José Dolz, Ismail Ben Ayed, Luke McCaffrey, Éric Granger	13
9	Exploiting prunability for person re-identification 2021 ·EURASIP Journal on Image and Video Processing ·(unknown), Amran Bhuiyan, (unknown), Mehrsan Javan, Parthipan Siva, Ismail Ben Ayed, Éric Granger	5
10	Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty 2021 ·IEEE Transactions on Medical Imaging ·Soufiane Belharbi, Jérôme Rony, José Dolz, Ismail Ben Ayed, Luke McCaffrey, Éric Granger	39
11	Flow-Guided Attention Networks for Video-Based Person Re-Identification 2020 ·arXiv (Cornell University) ·(unknown), Amran Bhuiyan, (unknown), Mehrsan Javan, Ismail Ben Ayed, Éric Granger	1
12	Metric learning: cross-entropy vs. pairwise losses 2020 ·arXiv (Cornell University) ·(unknown), Jérôme Rony, (unknown), Éric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed	3
13	Information Maximization for Few-Shot Learning 2020 ·Neural Information Processing Systems ·(unknown), (unknown), Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed	32
14	Discretely-constrained deep network for weakly supervised segmentation 2020 ·Neural Networks ·Jizong Peng, Hoel Kervadec, José Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers	23
15	Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework. 2019 ·arXiv (Cornell University) ·Soufiane Belharbi, Jérôme Rony, José Dolz, Ismail Ben Ayed, Luke McCaffrey, Éric Granger	1
16	Clustering with Fairness Constraints: A Flexible and Scalable Approach 2019 ·arXiv (Cornell University) ·(unknown), Éric Granger, (unknown), Ismail Ben Ayed	2
17	HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation. 2017 ·arXiv (Cornell University) ·José Dolz, Ismail Ben Ayed, Jing Yuan, Christian Desrosiers	5
18	Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure 2011 ·Medical Image Analysis ·Ismail Ben Ayed, (unknown), Kumaradevan Punithakumar, Ian Ross, Shuo Li	54
19	Tracking Endocardial Motion Via Multiple Model Filtering 2010 ·IEEE Transactions on Biomedical Engineering ·Kumaradevan Punithakumar, Ismail Ben Ayed, (unknown), Ian Ross, Shuo Li	14
20	Multiregion Image Segmentation by Parametric Kernel Graph Cuts 2010 ·IEEE Transactions on Image Processing ·Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed	165

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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