Coen de Vente
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Ophthalmology top 10%
- Co-authors
- Pieter VosJosien P. W. PluimMitko VetaMatin HosseinzadehClara I. SánchezHans G. LemijKoenraad A. VermeerBram van Ginneken
- Topics
- Retinal Imaging and Analysis (9 papers)Retinal Diseases and Treatments (6 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Biomedical EngineeringAmerican Journal of Ophthalmology
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Coen de Vente
12 papers receiving 186 citations
Peers
Comparison fields: 5 of 39
- Radiology, Nuclear Medicine and Imaging 133
- Pulmonary and Respiratory Medicine 72
- Artificial Intelligence 65
- Computer Vision and Pattern Recognition 46
- Ophthalmology 45
Countries citing papers authored by Coen de Vente
This map shows the geographic impact of Coen de Vente'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 Coen de Vente with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Coen de Vente more than expected).
Fields of papers citing papers by Coen de Vente
This network shows the impact of papers produced by Coen de Vente. 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 Coen de Vente. The network helps show where Coen de Vente may publish in the future.
Co-authorship network of co-authors of Coen de Vente
This figure shows the co-authorship network connecting the top 25 collaborators of Coen de Vente. A scholar is included among the top collaborators of Coen de Vente based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Coen de Vente. Coen de Vente is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 25 | |
| 8 | Making AI Transferable Across OCT Scanners from Different Vendors | 4 |
| 9 | Hierarchical curriculum learning for robust automated detection of low-prevalence retinal disease features: application to reticular pseudodrusen | 1 |
| 10 | 13 | |
| 11 | 121 | |
| 12 | Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography | 3 |
| 13 | Simultaneous Detection and Grading of Prostate Cancer in Multi-Parametric MRI | 2 |
About Coen de Vente
Coen de Vente is a scholar working on Health Informatics, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 190 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (9 papers), Retinal Diseases and Treatments (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (133 citations) and Ophthalmology (45 citations). Coen de Vente has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Pieter Vos, Josien P. W. Pluim, Mitko Veta, Matin Hosseinzadeh, Clara I. Sánchez, Hans G. Lemij, Koenraad A. Vermeer, Bram van Ginneken, Hagar Khalid and Sandra Liakopoulos. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and American Journal of Ophthalmology.
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.