Tal Arbel
Impact in
- Neurology top 0.1%
- Brain Tumor Detection and Classification
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Medical Image Segmentation Techniques 78
- Advanced Image and Video Retrieval Techniques 13
- Advanced Vision and Imaging 13
- Face recognition and analysis 11
-
- Artificial Intelligence in Healthcare and Education 12
- Co-authors
- Douglas Lorne Arnold (38 shared papers)D. Louis Collins (32 shared papers)Doina Precup (19 shared papers)Matthew Toews (12 shared papers)Frank P. Ferrie (8 shared papers)Nagesh K. Subbanna (9 shared papers)James J. Clark (17 shared papers)Catherine Laporte (9 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (11 papers)Medical Image Analysis (7 papers)Lecture notes in computer science (51 papers)Computer Vision and Image Understanding (5 papers)Image and Vision Computing (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Tal Arbel
136 papers receiving 8.9k citations
Tal Arbel's Hit Papers
Peers
Comparison fields: 5 of 124
- Neurology 2.9k
- Health Informatics 488
- Computer Vision and Pattern Recognition 4.4k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Artificial Intelligence 1k
Countries citing papers authored by Tal Arbel
This map shows the geographic impact of Tal Arbel'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 Tal Arbel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Arbel more than expected).
Fields of papers citing papers by Tal Arbel
This network shows the impact of papers produced by Tal Arbel. 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 Tal Arbel. The network helps show where Tal Arbel may publish in the future.
Co-authors
The 25 scholars most cited alongside Tal Arbel, 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) Hit paper breakdown → | 2014 | 4968 |
| 2 | Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge Hit paper breakdown → | 2011 | 371 |
| 3 | 2019 | 341 | |
| 4 | 2018 | 273 | |
| 5 | 2017 | 267 | |
| 6 | Metrics reloaded: recommendations for image analysis validation Hit paper breakdown → | 2024 | 262 |
| 7 | 2010 | 144 | |
| 8 | 2020 | 144 | |
| 9 | Understanding metric-related pitfalls in image analysis validation Hit paper breakdown → | 2024 | 129 |
| 10 | 2016 | 92 | |
| 11 | 2016 | 91 | |
| 12 | 2008 | 89 | |
| 13 | 2009 | 81 | |
| 14 | 1999 | 69 | |
| 15 | 2004 | 62 | |
| 16 | 2012 | 62 | |
| 17 | 2013 | 62 | |
| 18 | 2018 | 57 | |
| 19 | 2013 | 51 | |
| 20 | 2001 | 48 |
About Tal Arbel
Tal Arbel is a scholar working on Computer Vision and Pattern Recognition, Health Informatics, Neurology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 142 papers that have together received 9.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (78 papers), Advanced Image and Video Retrieval Techniques (13 papers), Advanced Vision and Imaging (13 papers), Artificial Intelligence in Healthcare and Education (12 papers), Brain Tumor Detection and Classification (12 papers), Multiple Sclerosis Research Studies (12 papers), Face recognition and analysis (11 papers) and Ultrasound Imaging and Elastography (7 papers). The work is most often cited by research in Neurology (2.9k citations), Health Informatics (488 citations), Computer Vision and Pattern Recognition (4.4k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Artificial Intelligence (1k citations). Tal Arbel has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Douglas Lorne Arnold, D. Louis Collins, Doina Precup, Matthew Toews, Frank P. Ferrie, Nagesh K. Subbanna, James J. Clark, Catherine Laporte, Dante De Nigris and Raghav Mehta. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Lecture notes in computer science, Computer Vision and Image Understanding and Image and Vision Computing.
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.