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Performance dependency of retinal image quality assessment algorithms on image resolution: analyses and solutions.

, , , and . Signal Image Video Process., 12 (1): 9-16 (2018)

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An Image-Based Method for Measuring Strabismus in Virtual Reality., , , , , , , and . ISMAR Adjunct, page 5-12. IEEE, (2020)Towards Speech-Act-Based Compliance., , and . CBI (1), page 35-44. IEEE, (2016)Stereopsis Only: Validation of a Monocular Depth Cues Reduced Gamified Virtual Reality with Reaction Time Measurement., , , , and . IEEE Trans. Vis. Comput. Graph., 28 (5): 2114-2124 (2022)Building a Generic Platform for Medical Screening Applications Based on Domain Specific Modeling and Process Orientation., , , , , , and . DILS, volume 3615 of Lecture Notes in Computer Science, page 257-265. Springer, (2005)Segmentation of Fundus Eye Images Using Methods of Mathematical Morphology for Glaucoma Diagnosis., , , and . International Conference on Computational Science, volume 3039 of Lecture Notes in Computer Science, page 41-48. Springer, (2004)Automatic Detection of Glaucomatous Changes Using Adaptive Thresholding and Neural Networks., , , and . International Conference on Computational Science, volume 3039 of Lecture Notes in Computer Science, page 49-55. Springer, (2004)Automated quality assessment of retinal fundus photos., , , , and . Int. J. Comput. Assist. Radiol. Surg., 5 (6): 557-564 (2010)Glaucoma risk index:  Automated glaucoma detection from color fundus images., , , , and . Medical Image Anal., 14 (3): 471-481 (2010)Hess Screen Revised: How Eye Tracking and Virtual Reality change Strabismus Assessment., , , , , and . EMBC, page 2058-2062. IEEE, (2021)