Ismail Ben Ayed
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Image and Object Detection Techniques
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Medical Image Segmentation Techniques 54
- Advanced Neural Network Applications 35
- Advanced Image and Video Retrieval Techniques 11
- Multimodal Machine Learning Applications 10
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- Domain Adaptation and Few-Shot Learning 23
- Co-authors
- José Dolz (35 shared papers)Amar Mitiche (19 shared papers)Christian Desrosiers (18 shared papers)Shuo Li (31 shared papers)Éric Granger (21 shared papers)Hoel Kervadec (9 shared papers)Kumaradevan Punithakumar (22 shared papers)Mohamed Ben Salah (7 shared papers)
In The Last Decade
Ismail Ben Ayed
124 papers receiving 2.9k citations
Ismail Ben Ayed's Hit Papers
Peers
Comparison fields: 5 of 137
- Computer Vision and Pattern Recognition 1.8k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Media Technology 292
- Neurology 231
- Artificial Intelligence 810
Countries citing papers authored by Ismail Ben Ayed
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
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-authors
The 25 scholars most cited alongside Ismail Ben Ayed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 284 | |
| 2 | Boundary loss for highly unbalanced segmentation Hit paper breakdown → | 2020 | 274 |
| 3 | 2010 | 165 | |
| 4 | 2019 | 155 | |
| 5 | 2005 | 142 | |
| 6 | 2010 | 83 | |
| 7 | 2018 | 78 | |
| 8 | 2017 | 64 | |
| 9 | 2006 | 60 | |
| 10 | 2013 | 58 | |
| 11 | 2009 | 56 | |
| 12 | 2022 | 55 | |
| 13 | 2011 | 54 | |
| 14 | 2022 | 50 | |
| 15 | 2022 | 50 | |
| 16 | 2009 | 48 | |
| 17 | 2006 | 47 | |
| 18 | 2013 | 46 | |
| 19 | 2014 | 41 | |
| 20 | 2009 | 41 |
About Ismail Ben Ayed
Ismail Ben Ayed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Cardiology and Cardiovascular Medicine, having authored 136 papers that have together received 3.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (54 papers), Advanced Neural Network Applications (35 papers), Domain Adaptation and Few-Shot Learning (23 papers), Sparse and Compressive Sensing Techniques (16 papers), Advanced MRI Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (11 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Multimodal Machine Learning Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Media Technology (292 citations), Neurology (231 citations) and Artificial Intelligence (810 citations). Ismail Ben Ayed has collaborated with scholars based in Canada, Spain and France. Frequent 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. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Computerized Medical Imaging and Graphics.
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.