Idit Diamant
Impact in
- Health Informatics top 2%
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Image Retrieval and Classification Techniques 5
- Advanced Image and Video Retrieval Techniques 3
- Digital Imaging for Blood Diseases 2
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- AI in cancer detection 8
- Co-authors
- Hayit Greenspan (15 shared papers)Eyal Klang (7 shared papers)Jacob Goldberger (6 shared papers)Michal Marianne Amitai (3 shared papers)Maayan Frid-Adar (1 shared paper)Lior Wolf (3 shared papers)Yaniv Bar (3 shared papers)Eli Konen (4 shared papers)
- Journals
- Neurocomputing (1 paper)Molecular BioSystems (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Clinical Biomechanics (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Idit Diamant
19 papers receiving 1.9k citations
Idit Diamant's Hit Papers
Peers
Comparison fields: 5 of 144
- Health Informatics 65
- Radiology, Nuclear Medicine and Imaging 675
- Computer Vision and Pattern Recognition 649
- Artificial Intelligence 795
- Neurology 140
Countries citing papers authored by Idit Diamant
This map shows the geographic impact of Idit Diamant'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 Idit Diamant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Idit Diamant more than expected).
Fields of papers citing papers by Idit Diamant
This network shows the impact of papers produced by Idit Diamant. 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 Idit Diamant. The network helps show where Idit Diamant may publish in the future.
Co-authors
The 25 scholars most cited alongside Idit Diamant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification Hit paper breakdown → | 2018 | 1241 |
| 2 | 2015 | 244 | |
| 3 | 2015 | 201 | |
| 4 | 2016 | 44 | |
| 5 | 2017 | 30 | |
| 6 | 2015 | 27 | |
| 7 | 2016 | 26 | |
| 8 | 2006 | 25 | |
| 9 | 2005 | 17 | |
| 10 | 2015 | 13 | |
| 11 | 2014 | 10 | |
| 12 | 2014 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2014 | 7 | |
| 15 | 2009 | 6 | |
| 16 | 2007 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2016 | 1 |
About Idit Diamant
Idit Diamant is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Image Retrieval and Classification Techniques (5 papers), COVID-19 diagnosis using AI (4 papers), Bone health and osteoporosis research (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Digital Imaging for Blood Diseases (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Health Informatics (65 citations), Radiology, Nuclear Medicine and Imaging (675 citations), Computer Vision and Pattern Recognition (649 citations), Artificial Intelligence (795 citations) and Neurology (140 citations). Idit Diamant has collaborated with scholars based in Israel and United States. Frequent co-authors include Hayit Greenspan, Eyal Klang, Jacob Goldberger, Michal Marianne Amitai, Maayan Frid-Adar, Lior Wolf, Yaniv Bar, Eli Konen, Sivan Lieberman and Amit Gefen. Their work appears in journals such as Neurocomputing, Molecular BioSystems, IEEE Transactions on Biomedical Engineering, Clinical Biomechanics and IEEE Journal of Biomedical and Health Informatics.
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.