Coen de Vente

1.0k citations
13 papers · 190 · h-index 5

Impact in

Papers in

Coen de Vente

12 papers receiving 186 citations

Peers

Coen de Vente
Comparison fields: 5 of 39
  • Health Informatics 10
  • Radiology, Nuclear Medicine and Imaging 133
  • Ophthalmology 45
  • Computer Vision and Pattern Recognition 46
  • Pulmonary and Respiratory Medicine 72
Replace Beiji Zou with:
Beiji Zou China
Aaron Wu United States
Vivek Vaidya India
Xiangshang Zheng China
Ahmed E. Fetit United Kingdom
Sunny Virmani United States
Olena Tankyevych France
Qicheng Lao China
Yijin Huang China
Ruibin Feng United States
Coen de Vente relative to Beiji Zou China Beiji Zou's profile →
Citations per field
00.5×1.5×
Beiji Zou · 1×
Citations per year

Countries citing papers authored by Coen de Vente

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Coen de Vente, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Coen de Vente Line = papers co-authored together Coen de Vente links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2020121
2 202225
3 202313
4 202113
5
Making AI Transferable Across OCT Scanners from Different Vendors
20214
6 20244
7
Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography
20203
8 20242
9
Simultaneous Detection and Grading of Prostate Cancer in Multi-Parametric MRI
20192
10
Hierarchical curriculum learning for robust automated detection of low-prevalence retinal disease features: application to reticular pseudodrusen
20211
11 20251
12 20251
13 20250

About Coen de Vente

Coen de Vente is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, 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), Glaucoma and retinal disorders (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Digital Imaging for Blood Diseases (2 papers), COVID-19 diagnosis using AI (1 paper), Prostate Cancer Treatment and Research (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (133 citations), Ophthalmology (45 citations), Computer Vision and Pattern Recognition (46 citations) and Pulmonary and Respiratory Medicine (72 citations). Coen de Vente has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Pieter Vos, Mitko Veta, Josien P. W. Pluim, Matin Hosseinzadeh, Clara I. Sá‎nchez, Koenraad A. Vermeer, Hans G. Lemij, Yanling Ouyang, Cristina González-Gonzalo and Philipp L. Müller. Their work appears in journals such as Translational Vision Science & Technology, Acta Ophthalmologica, Investigative Ophthalmology & Visual Science, 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.

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