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Validation of Computerized Quantification of Ocular Redness

  • Published:2019-12-12 Issue:6 Volume:8 Page:31
  • ISSN:2164-2591
  • Container-title:Translational Vision Science & Technology
  • language:en
  • Short-container-title:Trans. Vis. Sci. Tech.

Author:

Sirazitdinova Ekaterina1,Gijs Marlies2,Bertens Christian J. F.2,Berendschot Tos T. J. M.2,Nuijts Rudy M. M. A.23,Deserno Thomas M.4

Affiliation:

1. Uniklinik RWTH Aachen, Department of Medical Informatics, Aachen, Germany

2. University Eye Clinic Maastricht, Maastricht University Medical Center+ (MUMC+), Maastricht, the Netherlands

3. Department of Ophthalmology, Zuyderland Medical Center, Heerlen, the Netherlands

4. Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, Germany

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual-Mode Imaging System for Early Detection and Monitoring of Ocular Surface Diseases;IEEE Transactions on Biomedical Circuits and Systems;2024-08

2. DEEPOREDNET: Contrastive Learning-Based Attention-Weighted Dual Channel Residual Network for Ocular Redness Assessment;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Crowdsourcing image segmentation for deep learning: integrated platform for citizen science, paid microtask, and gamification;Biomedical Engineering / Biomedizinische Technik;2023-12-26

4. A Deep-Learning-Enabled Monitoring System for Ocular Redness Assessment;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

5. Validation of AI-based software for objectification of conjunctival provocation test;Journal of Allergy and Clinical Immunology: Global;2023-08
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