ERICA: Emulated Retinal Image CApture - A tool for testing, training and validating retinal image processing methods
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[1] Sumitha L. Balasuriya,et al. A biologically inspired computational vision front-end based on a self-organised pseudo-randomly tessellated artificial retina , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[2] A. Roorda,et al. Adaptive optics ophthalmoscopy. , 2015, Annual review of vision science.
[3] Ian J. C. MacCormick,et al. Developing retinal biomarkers of neurological disease: an analytical perspective , 2015, Biomarkers in medicine.
[4] Donald T. Miller,et al. In vivo functional imaging of human cone photoreceptors. , 2007, Optics express.
[5] Emily J Patterson,et al. Adaptive optics imaging of inherited retinal diseases , 2017, British Journal of Ophthalmology.
[6] C. K. Sheehy,et al. Active eye-tracking for an adaptive optics scanning laser ophthalmoscope. , 2015, Biomedical optics express.
[7] R. Webb. Confocal optical microscopy , 1996 .
[8] Austin Roorda,et al. High-speed, image-based eye tracking with a scanning laser ophthalmoscope , 2012, Biomedical optics express.
[9] 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.
[10] Austin Roorda,et al. Mapping the Perceptual Grain of the Human Retina , 2014, The Journal of Neuroscience.
[11] Heather E Moss,et al. Retinal Vascular Changes are a Marker for Cerebral Vascular Diseases , 2015, Current Neurology and Neuroscience Reports.
[12] Sina Farsiu,et al. Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks , 2017, Scientific Reports.
[13] Hannah E. Smithson,et al. What makes a microsaccade? A review of 70 years of research prompts a new detection method. , 2020, Journal of eye movement research.
[14] Michael Smith,et al. An Analytical Perspective , 2005 .
[15] Jessica C. Hsu,et al. The Reliability of Cone Density Measurements in the Presence of Rods , 2018, Translational vision science & technology.
[16] Jessica I. W. Morgan,et al. Optoretinography of individual human cone photoreceptors. , 2020, Optics express.
[17] C W Tyler,et al. Analysis of visual modulation sensitivity. II. Peripheral retina and the role of photoreceptor dimensions. , 1985, Journal of the Optical Society of America. A, Optics and image science.
[18] Austin Roorda,et al. Automated identification of cone photoreceptors in adaptive optics retinal images. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.
[19] Travis E. Oliphant,et al. Guide to NumPy , 2015 .
[20] Austin Roorda,et al. Retinally stabilized cone-targeted stimulus delivery. , 2007, Optics express.
[21] Phillip Bedggood,et al. De-warping of images and improved eye tracking for the scanning laser ophthalmoscope , 2017, PloS one.
[22] R. Navarro,et al. Odd aberrations and double-pass measurements of retinal image quality. , 1995, Journal of the Optical Society of America. A, Optics, image science, and vision.
[23] Christopher S. Langlo,et al. Assessing Photoreceptor Structure in Retinitis Pigmentosa and Usher Syndrome , 2016, Investigative ophthalmology & visual science.
[24] D. Williams,et al. Cone spacing and the visual resolution limit. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[25] Hannah E. Smithson,et al. Compact, modular and in-plane AOSLO for high-resolution retinal imaging , 2018, Biomedical optics express.
[26] 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.
[27] Jennifer J. Hunter,et al. Vision science and adaptive optics, the state of the field , 2017, Vision Research.
[28] Peter Dirksen,et al. Assessment of an extended Nijboer-Zernike approach for the computation of optical point-spread functions. , 2002, Journal of the Optical Society of America. A, Optics, image science, and vision.
[29] S. Burns,et al. In vivo measurement of erythrocyte velocity and retinal blood flow using adaptive optics scanning laser ophthalmoscopy. , 2008, Optics express.
[30] Mohammed Azmi Al-Betar,et al. comprehensive review : Krill Herd algorithm ( KH ) and its pplications saju , 2016 .
[31] Gaël Varoquaux,et al. The NumPy Array: A Structure for Efficient Numerical Computation , 2011, Computing in Science & Engineering.
[32] Alfredo Dubra,et al. Registration of 2D Images from Fast Scanning Ophthalmic Instruments , 2010, WBIR.
[33] M. Rucci,et al. Precision of sustained fixation in trained and untrained observers. , 2012, Journal of vision.
[34] Martina Poletti,et al. Control and Functions of Fixational Eye Movements. , 2015, Annual review of vision science.
[35] Christopher S. Langlo,et al. Repeatability of In Vivo Parafoveal Cone Density and Spacing Measurements , 2012, Optometry and vision science : official publication of the American Academy of Optometry.
[36] T. Hebert,et al. Adaptive optics scanning laser ophthalmoscopy. , 2002, Optics express.
[37] Austin Roorda,et al. Adaptive optics for studying visual function: a comprehensive review. , 2011, Journal of vision.
[38] Girish Kumar,et al. Characteristics of fixational eye movements in people with macular disease. , 2014, Investigative ophthalmology & visual science.
[39] Austin Roorda,et al. The effects of fixational tremor on the retinal image , 2019, Journal of vision.
[40] Scott B Stevenson,et al. Psychophysical measurements of referenced and unreferenced motion processing using high-resolution retinal imaging. , 2008, Journal of vision.
[41] Zhuolin Liu,et al. Modal content of living human cone photoreceptors. , 2015, Biomedical optics express.
[42] David Williams,et al. The arrangement of the three cone classes in the living human eye , 1999, Nature.
[43] Rashid Ansari,et al. Frequency-based local content adaptive filtering algorithm for automated photoreceptor cell density quantification , 2012, 2012 19th IEEE International Conference on Image Processing.
[44] Serge Meimon,et al. High temporal resolution aberrometry in a 50-eye population and implications for adaptive optics error budget. , 2017, Biomedical optics express.
[45] Austin Roorda,et al. Miniature eye movements measured simultaneously with ophthalmic imaging and a dual-Purkinje image eye tracker , 2010 .
[46] Benedikt V Ehinger,et al. Probing the temporal dynamics of the exploration-exploitation dilemma of eye movements. , 2018, Journal of vision.
[47] Sebastien Ourselin,et al. Automatic Cone Photoreceptor Localisation in Healthy and Stargardt Afflicted Retinas Using Deep Learning , 2018, Scientific Reports.
[48] Austin Roorda,et al. Benefits of retinal image motion at the limits of spatial vision , 2017, Journal of vision.
[49] Toco Y P Chui,et al. Adaptive-optics imaging of human cone photoreceptor distribution. , 2008, Journal of the Optical Society of America. A, Optics, image science, and vision.
[50] David H Brainard,et al. Multi-modal automatic montaging of adaptive optics retinal images. , 2016, Biomedical optics express.
[51] N. Cottaris,et al. A computational-observer model of spatial contrast sensitivity: Effects of wave-front-based optics, cone-mosaic structure, and inference engine. , 2019, Journal of vision.
[52] Lawrence C. Sincich,et al. Light reflectivity and interference in cone photoreceptors. , 2019, Biomedical optics express.
[53] Nicusor Iftimia,et al. Compact adaptive optics line scanning ophthalmoscope. , 2009, Optics express.
[54] A. Roorda,et al. Intrinsic signals from human cone photoreceptors. , 2008, Investigative ophthalmology & visual science.
[55] Ahmadreza Baghaie,et al. An Automated Reference Frame Selection (ARFS) Algorithm for Cone Imaging with Adaptive Optics Scanning Light Ophthalmoscopy , 2017, Translational vision science & technology.
[56] anonymous,et al. Comprehensive review , 2019 .
[57] Philip J. Morrow,et al. Automated Identification of Photoreceptor Cones Using Multi-scale Modelling and Normalized Cross-Correlation , 2011, ICIAP.
[58] Austin Roorda,et al. Speed quantification and tracking of moving objects in adaptive optics scanning laser ophthalmoscopy. , 2011, Journal of biomedical optics.
[59] Alfredo Dubra,et al. Effects of Intraframe Distortion on Measures of Cone Mosaic Geometry from Adaptive Optics Scanning Light Ophthalmoscopy , 2016, Translational vision science & technology.
[60] N. Cottaris,et al. A computational observer model of spatial contrast sensitivity: Effects of wavefront-based optics, cone mosaic structure, and inference engine , 2018, bioRxiv.
[61] G. M. Morris,et al. Images of cone photoreceptors in the living human eye , 1996, Vision Research.
[62] A. Turing. The chemical basis of morphogenesis , 1952, Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences.
[63] P. E. Hallett,et al. Power spectra for ocular drift and tremor , 1985, Vision Research.
[64] A. Elsner,et al. Adaptive optics imaging of the human retina , 2019, Progress in Retinal and Eye Research.
[65] Alfredo Dubra,et al. Adaptive Optics Retinal Imaging – Clinical Opportunities and Challenges , 2013, Current eye research.
[66] J. Enoch. Optical Properties of the Retinal Receptors , 1963 .
[67] Jessica I W Morgan,et al. The fundus photo has met its match: optical coherence tomography and adaptive optics ophthalmoscopy are here to stay , 2016, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.
[68] Sina Farsiu,et al. Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images , 2016, Biomedical optics express.
[69] Brendan Horton,et al. An analytical perspective , 1996, Nature.
[70] Austin Roorda,et al. Adaptive optics retinal imaging: emerging clinical applications. , 2010, Optometry and vision science : official publication of the American Academy of Optometry.
[71] D. Hubel,et al. The role of fixational eye movements in visual perception , 2004, Nature Reviews Neuroscience.
[72] Joseph A. Izatt,et al. Automatic cone photoreceptor segmentation using graph theory and dynamic programming , 2013, Biomedical optics express.
[73] Austin Roorda,et al. Spatial summation in the human fovea: Do normal optical aberrations and fixational eye movements have an effect? , 2018, Journal of vision.
[74] Lynn W. Sun,et al. Multimodal Imaging of Photoreceptor Structure in Choroideremia , 2016, PloS one.
[75] Joseph Carroll,et al. Methods for investigating the local spatial anisotropy and the preferred orientation of cones in adaptive optics retinal images , 2016, Visual Neuroscience.
[76] David Williams,et al. Adaptive optics retinal imaging in the living mouse eye , 2012, Biomedical optics express.
[77] Jing Wang,et al. Quality improvement of adaptive optics retinal images using conditional adversarial networks. , 2020, Biomedical optics express.
[78] Nicholas Devaney,et al. Performance Analysis of Cone Detection Algorithms , 2015, Journal of the Optical Society of America. A, Optics, image science, and vision.
[79] A. Janssen. Extended Nijboer-Zernike approach for the computation of optical point-spread functions. , 2002, Journal of the Optical Society of America. A, Optics, image science, and vision.
[80] Yudong Zhang,et al. Automatic Dewarping of Retina Images in Adaptive Optics Confocal Scanning Laser Ophthalmoscope , 2019, IEEE Access.
[81] A. Hendrickson,et al. Human photoreceptor topography , 1990, The Journal of comparative neurology.
[82] J. E. Pearson. Complex Patterns in a Simple System , 1993, Science.
[83] Austin Roorda,et al. Correcting for miniature eye movements in high resolution scanning laser ophthalmoscopy , 2005 .
[84] Austin Roorda,et al. Design of an integrated hardware interface for AOSLO image capture and cone-targeted stimulus delivery , 2010, Optics express.
[85] A. Roorda,et al. Theoretical modeling and evaluation of the axial resolution of the adaptive optics scanning laser ophthalmoscope. , 2004, Journal of biomedical optics.
[86] Austin Roorda,et al. Suboptimal eye movements for seeing fine details , 2017, bioRxiv.
[87] Sina Farsiu,et al. Deep learning based detection of cone photoreceptors with multimodal adaptive optics scanning light ophthalmoscope images of achromatopsia. , 2018, Biomedical optics express.
[88] Benedikt V Ehinger,et al. A new comprehensive eye-tracking test battery concurrently evaluating the Pupil Labs glasses and the EyeLink 1000 , 2019, PeerJ.
[89] John S Werner,et al. Photoreceptor counting and montaging of en-face retinal images from an adaptive optics fundus camera. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.
[90] A. Watson. A formula for human retinal ganglion cell receptive field density as a function of visual field location. , 2014, Journal of vision.
[91] B. Sullenger,et al. Emerging clinical applications of RNA , 2002, Nature.