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Automatic no-reference quality assessment for retinal fundus images using vessel segmentation.

, , , , , and . CBMS, page 95-100. IEEE Computer Society, (2013)

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Registration of Image Sequences from Experimental Low-Cost Fundus Camera., , , , and . WBIR, volume 8545 of Lecture Notes in Computer Science, page 174-183. Springer, (2014)Retinal image registration for eye movement estimation., , and . EMBC, page 5247-5250. IEEE, (2015)Blind Source Separation of Different Retinal Pulsatile Patterns from Simultaneous Long-term Binocular Ophthalmoscopic Video-records., , , , , , and . EMBC, page 4729-4732. IEEE, (2019)Fusion based analysis of ophthalmologic image data., , , , and . Kybernetika, 47 (3): 455-481 (2011)Retinal nerve fiber layer analysis via Markov random fields texture modelling., , , , and . EUSIPCO, page 1650-1654. IEEE, (2010)Bimodal Eye Imaging System., , , , and . SITIS, page 572-575. IEEE Computer Society, (2015)Method for Adult Cardiomyocytes Long-Term Viability Monitoring Using Confocal Microscopy Techniques., , , , and . CinC, page 961-964. www.cinc.org, (2015)Computer Analysis of Isolated Cardiomyocyte Contraction Process via Advanced Image Processing Techniques., , , , , , , and . CinC, page 453-456. www.cinc.org, (2015)Eye movement analysis using a binocular video-ophthalmoscope., , , , and . EMBC, page 4725-4728. IEEE, (2019)Illumination correction and contrast equalization in colour fundus images., , , and . EUSIPCO, page 298-302. IEEE, (2011)