Uday Kurkure
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- Radiomics and Machine Learning in Medical Imaging 1
- Medical Imaging Techniques and Applications 1
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- AI in cancer detection 2
- Machine Learning and Algorithms 1
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- Cancer Immunotherapy and Biomarkers 2
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- Medical Image Segmentation Techniques 2
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- Immunotherapy and Immune Responses 1
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- Brain Tumor Detection and Classification 1
- Co-authors
- Ioannis A. KakadiarisDamini DeyLee CooperDaniel S. BermanMichael BarnesRachel RedmanMohamed AmgadRyo Nakazato
- Journals
- Journal of Clinical Oncology (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Uday Kurkure
6 papers receiving 65 citations
Peers
Comparison fields: 5 of 20
- Radiology, Nuclear Medicine and Imaging 34
- Biophysics 8
- Artificial Intelligence 24
- Health Informatics 1
- Oncology 16
Countries citing papers authored by Uday Kurkure
This map shows the geographic impact of Uday Kurkure'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 Uday Kurkure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uday Kurkure more than expected).
Fields of papers citing papers by Uday Kurkure
This network shows the impact of papers produced by Uday Kurkure. 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 Uday Kurkure. The network helps show where Uday Kurkure may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Uday Kurkure, 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 | 2023 | 2 | |
| 2 | 2019 | 33 | |
| 3 | 2013 | 17 | |
| 4 | 2011 | 4 | |
| 5 | 2009 | 2 | |
| 6 | 2008 | 9 |
About Uday Kurkure
Uday Kurkure is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 6 papers that have together received 67 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (2 papers), AI in cancer detection (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Medical Imaging Techniques and Applications (1 paper), Machine Learning and Algorithms (1 paper), Immunotherapy and Immune Responses (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (34 citations), Biophysics (8 citations) and Artificial Intelligence (24 citations). Uday Kurkure has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Ioannis A. Kakadiaris, Damini Dey, Lee Cooper, Daniel S. Berman, Michael Barnes, Rachel Redman, Mohamed Amgad, Ryo Nakazato, Benjamin C. Calhoun and Anindya Sarkar. Their work appears in journals such as Journal of Clinical Oncology, IEEE Journal of Biomedical and Health Informatics and Lecture notes in computer science.
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.