Ertunç Erdil
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Face and Expression Recognition
- Artificial Intelligence top 10%
- AI in cancer detection
- Advanced Clustering Algorithms Research
- Domain Adaptation and Few-Shot Learning
Papers in
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- Medical Image Segmentation Techniques 10
- Image Retrieval and Classification Techniques 6
- Face and Expression Recognition 2
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- Domain Adaptation and Few-Shot Learning 3
- Advanced Clustering Algorithms Research 3
- Co-authors
- Ender Konukoğlu (5 shared papers)Krishna Chaitanya (3 shared papers)Neerav Karani (2 shared papers)Müjdat Çetin (13 shared papers)Tolga Taşdizen (7 shared papers)Devrim Ünay (8 shared papers)Lavdie Rada (4 shared papers)Inbal Israely (4 shared papers)
- Journals
- IEEE Transactions on Image Processing (2 papers)Engineering Applications of Artificial Intelligence (2 papers)Medical Image Analysis (2 papers)IEEE Transactions on Medical Imaging (1 paper)Scientific Reports (1 paper)
- Partner nations
- TürkiyeUnited StatesPortugal
In The Last Decade
Ertunç Erdil
23 papers receiving 384 citations
Ertunç Erdil's Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 225
- Artificial Intelligence 195
- Biophysics 32
- Neurology 39
- Radiology, Nuclear Medicine and Imaging 104
Countries citing papers authored by Ertunç Erdil
This map shows the geographic impact of Ertunç Erdil'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 Ertunç Erdil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ertunç Erdil more than expected).
Fields of papers citing papers by Ertunç Erdil
This network shows the impact of papers produced by Ertunç Erdil. 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 Ertunç Erdil. The network helps show where Ertunç Erdil may publish in the future.
Co-authors
The 25 scholars most cited alongside Ertunç Erdil, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation Hit paper breakdown → | 2023 | 112 |
| 2 | 2020 | 103 | |
| 3 | 2010 | 63 | |
| 4 | 2013 | 15 | |
| 5 | 2017 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2017 | 9 | |
| 8 | 2016 | 9 | |
| 9 | 2015 | 8 | |
| 10 | 2011 | 7 | |
| 11 | 2014 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2010 | 6 | |
| 14 | 2012 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2023 | 3 | |
| 18 | Unsupervised out-of-distribution detection using kernel density estimation | 2020 | 3 |
| 19 | 2024 | 1 | |
| 20 | 2017 | 1 |
About Ertunç Erdil
Ertunç Erdil is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biophysics and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 396 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Image Processing Techniques and Applications (6 papers), Image Retrieval and Classification Techniques (6 papers), Cell Image Analysis Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Clustering Algorithms Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (225 citations), Artificial Intelligence (195 citations), Biophysics (32 citations), Neurology (39 citations) and Radiology, Nuclear Medicine and Imaging (104 citations). Ertunç Erdil has collaborated with scholars based in Türkiye, United States and Portugal. Frequent co-authors include Ender Konukoğlu, Krishna Chaitanya, Neerav Karani, Müjdat Çetin, Tolga Taşdizen, Devrim Ünay, Lavdie Rada, Inbal Israely, Bruno Weber and Theofanis Karayannis. Their work appears in journals such as IEEE Transactions on Image Processing, Engineering Applications of Artificial Intelligence, Medical Image Analysis, IEEE Transactions on Medical Imaging and Scientific Reports.
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.