Use of focus measure operators for characterization of flood illumination adaptive optics ophthalmoscopy image quality.
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[1] P. Sharp,et al. The scanning laser ophthalmoscope. , 1997, Physics in medicine and biology.
[2] Donald T. Miller,et al. Photoreceptor disc shedding in the living human eye. , 2016, Biomedical optics express.
[3] M. Bidaut Garnier,et al. Reliability of cone counts using an adaptive optics retinal camera , 2014, Clinical & experimental ophthalmology.
[4] A. Roorda,et al. Observation of cone and rod photoreceptors in normal subjects and patients using a new generation adaptive optics scanning laser ophthalmoscope , 2011, Biomedical optics express.
[5] A. Dubra,et al. In vivo imaging of human retinal microvasculature using adaptive optics scanning light ophthalmoscope fluorescein angiography , 2013, Biomedical optics express.
[6] Fred K Chen,et al. Semi-automated identification of cones in the human retina using circle Hough transform. , 2015, Biomedical optics express.
[7] T. Peto,et al. Cone photoreceptor definition on adaptive optics retinal imaging , 2014, British Journal of Ophthalmology.
[8] John S Werner,et al. In vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function. , 2006, Investigative ophthalmology & visual science.
[9] Sina Farsiu,et al. Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images , 2016, Biomedical optics express.
[10] A. Swaroop,et al. High-resolution imaging with adaptive optics in patients with inherited retinal degeneration. , 2007, Investigative ophthalmology & visual science.
[11] William S Tuten,et al. Normal Perceptual Sensitivity Arising From Weakly Reflective Cone Photoreceptors. , 2015, Investigative ophthalmology & visual science.
[12] J. F. Brenner,et al. An automated microscope for cytologic research a preliminary evaluation. , 1976, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.
[13] Muralidhara Subbarao,et al. Selecting the Optimal Focus Measure for Autofocusing and Depth-From-Focus , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[14] Yudong Zhang,et al. Deblurring adaptive optics retinal images using deep convolutional neural networks. , 2017, Biomedical optics express.
[15] Masanori Hangai,et al. Image Quality Improvement in Adaptive Optics Scanning Laser Ophthalmoscopy Assisted Capillary Visualization Using B-spline-based Elastic Image Registration , 2013, PloS one.
[16] A. Roorda,et al. Cone structure imaged with adaptive optics scanning laser ophthalmoscopy in eyes with nonneovascular age-related macular degeneration. , 2013, Investigative ophthalmology & visual science.
[17] Domenec Puig,et al. Analysis of focus measure operators for shape-from-focus , 2013, Pattern Recognit..
[18] C. B. Rickman,et al. Retinal Degenerative Diseases: Mechanisms and Experimental Therapy , 2019, Advances in Experimental Medicine and Biology.
[19] Nicholas Devaney,et al. Pre‐processing, registration and selection of adaptive optics corrected retinal images , 2013, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.
[20] S. Ourselin,et al. Unsupervised identification of cone photoreceptors in non-confocal adaptive optics scanning light ophthalmoscope images. , 2017, Biomedical optics express.
[21] Ingrid U Scott,et al. Single-field fundus photography for diabetic retinopathy screening: a report by the American Academy of Ophthalmology. , 2004, Ophthalmology.
[22] Phillip Bedggood,et al. Improving high resolution retinal image quality using speckle illumination HiLo imaging , 2014, Biomedical optics express.
[23] C. Ortiz de Solórzano,et al. Evaluation of autofocus functions in molecular cytogenetic analysis , 1997, Journal of microscopy.
[24] Edward H. Adelson,et al. PYRAMID METHODS IN IMAGE PROCESSING. , 1984 .
[25] L M Mugnier,et al. Marginal blind deconvolution of adaptive optics retinal images. , 2011, Optics express.
[26] Domenec Puig,et al. Reliability measure for shape-from-focus , 2013, Image Vis. Comput..
[27] Sina Farsiu,et al. Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks , 2017, Scientific Reports.
[28] D R Williams,et al. Supernormal vision and high-resolution retinal imaging through adaptive optics. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.
[29] David R Williams,et al. Deconvolution of adaptive optics retinal images. , 2004, Journal of the Optical Society of America. A, Optics, image science, and vision.
[30] Stavri G. Nikolov,et al. Image fusion: Advances in the state of the art , 2007, Inf. Fusion.
[31] Panos Liatsis,et al. Hessian-LoG filtering for enhancement and detection of photoreceptor cells in adaptive optics retinal images. , 2016, Journal of the Optical Society of America. A, Optics, image science, and vision.
[32] Jessica I. Wolfing,et al. High-resolution retinal imaging of cone-rod dystrophy. , 2006, Ophthalmology.
[33] Alfredo Dubra,et al. Adaptive Optics Retinal Imaging – Clinical Opportunities and Challenges , 2013, Current eye research.
[34] G. Ripandelli,et al. Optical coherence tomography. , 1998, Seminars in ophthalmology.
[35] David Williams,et al. The reflectance of single cones in the living human eye. , 2002, Investigative ophthalmology & visual science.
[36] Marco Lombardo,et al. Influence of sampling window size and orientation on parafoveal cone packing density. , 2013, Biomedical optics express.