Topic · Retinal Imaging and Analysis
Most cited papers in Retinal Imaging and Analysis
What are the most cited papers in Retinal Imaging and Analysis?
The most cited paper in Retinal Imaging and Analysis is "Optical Coherence Tomography" (David T. Huang, Eric A. Swanson, Charles P. Lin et al., 1991), with 13,894 citations. Next come "Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs" (7,873) and "Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis" (5,452).
Showing 50 of 99 papers. Every paper with more than 897 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Optical Coherence Tomography David T. Huang, Eric A. Swanson, Charles P. Lin et al. · Science | 22 Nov 1991 | 13,894 |
| 2 | Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs Varun Gulshan, Lily Peng, Marc Coram et al. · JAMA | 29 Nov 2016 | 7,873 |
| 3 | Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis Wan Ling Wong, Xinyi Su, Xiang Li et al. · The Lancet Global Health | 3 Jan 2014 | 5,452 |
| 4 | Global Prevalence and Major Risk Factors of Diabetic Retinopathy Joanne Wen Yee Yau et al. · Diabetes Care | 2 Feb 2012 | 5,033 |
| 5 | Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning Daniel Kermany et al. · Cell | Feb 2018 | 4,903 |
| 6 | Complement Factor H Polymorphism in Age-Related Macular Degeneration Robert J. Klein, Caroline J. Zeiss, Emily Y. Chew et al. · Science | 10 Mar 2005 | 4,552 |
| 7 | FlowNet: Learning Optical Flow with Convolutional Networks Alexey Dosovitskiy, Philipp F. Fischer, Eddy Ilg et al. | Dec 2015 | 4,315 |
| 8 | Ridge-Based Vessel Segmentation in Color Images of the Retina Joes Staal, Michael D. Abràmoff, Meindert Niemeijer et al. · IEEE Transactions on Medical Imaging | Apr 2004 | 4,213 |
| 9 | Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales C. P. Wilkinson, Frederick L. Ferris, Ronald Klein et al. · Ophthalmology | Sep 2003 | 3,812 |
| 10 | Diabetic retinopathy Ning Cheung, Paul Mitchell, Tien Yin Wong · The Lancet | 29 Jun 2010 | 3,202 |
| 11 | Human photoreceptor topography Christine A. Curcio, Kenneth R. Sloan, Robert E. Kalina et al. · The Journal of Comparative Neurology | 22 Feb 1990 | 2,840 |
| 12 | Prevalence of Age-Related Macular Degeneration in the United States The Eye Diseases Prevalence Research Group* · Archives of Ophthalmology | Apr 2004 | 2,760 |
| 13 | Clinically applicable deep learning for diagnosis and referral in retinal disease Jeffrey De Fauw et al. · Nature Medicine | 6 Aug 2018 | 2,719 |
| 14 | Ranibizumab and Bevacizumab for Neovascular Age-Related Macular Degeneration The CATT Research Group · New England Journal of Medicine | 28 Apr 2011 | 2,681 |
| 15 | Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response A.D. Hoover, Valentina L. Kouznetsova, Michael H. Goldbaum · IEEE Transactions on Medical Imaging | Mar 2000 | 2,618 |
| 16 | Intravitreal Aflibercept (VEGF Trap-Eye) in Wet Age-related Macular Degeneration Jeffrey S. Heier, David M. Brown, Victor N. Chong et al. · Ophthalmology | 17 Oct 2012 | 2,522 |
| 17 | Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes Daniel Shu Wei Ting et al. · JAMA | 12 Dec 2017 | 2,445 |
| 18 | Complement Factor H Variant Increases the Risk of Age-Related Macular Degeneration Jonathan L. Haines, Michael A. Hauser, Silke Schmidt et al. · Science | 10 Mar 2005 | 2,436 |
| 19 | Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein et al. · Lecture notes in computer science | 2017 | 2,424 |
| 20 | Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045 Zhen Ling Teo, Yih Chung Tham, Marco Yu et al. · Ophthalmology | May 2021 | 2,388 |
| 21 | The definition and classification of glaucoma in prevalence surveys Paul J. Foster · British Journal of Ophthalmology | Feb 2002 | 2,388 |
| 22 | CE-Net: Context Encoder Network for 2D Medical Image Segmentation Zaiwang Gu, Jun Cheng, Huazhu Fu et al. · IEEE Transactions on Medical Imaging | 7 Mar 2019 | 2,282 |
| 23 | Object detection in optical remote sensing images: A survey and a new benchmark Ke Li, Gang Wan, Gong Cheng et al. · ISPRS Journal of Photogrammetry and Remote Sensing | 4 Dec 2019 | 2,271 |
| 24 | Labeling images with a computer game Luis von Ahn, Laura Dabbish | 25 Apr 2004 | 2,235 |
| 25 | Representation and recognition of the spatial organization of three-dimensional shapes David G. Marr, H. K. Nishihara · Proceedings of the Royal Society B Biological Sciences | 23 Feb 1978 | 2,197 |
| 26 | An international classification and grading system for age-related maculopathy and age-related macular degeneration Alan C. Bird, Neil M. Bressler, Susan B. Bressler et al. · Survey of Ophthalmology | Mar 1995 | 1,939 |
| 27 | Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning Ryan E. Poplin, Avinash V. Varadarajan, Katy Blumer et al. · Nature Biomedical Engineering | 16 Feb 2018 | 1,913 |
| 28 | Clinical Classification of Age-related Macular Degeneration Frederick L. Ferris, Charles P. Wilkinson, Alan C. Bird et al. · Ophthalmology | 16 Jan 2013 | 1,886 |
| 29 | State-of-the-Art in Visual Attention Modeling Ali Borji, Laurent Itti · IEEE Transactions on Pattern Analysis and Machine Intelligence | 10 Apr 2012 | 1,857 |
| 30 | Optical coherence tomography angiography Richard F. Spaide, James G. Fujimoto, Nadia Khalida Waheed et al. · Progress in Retinal and Eye Research | 8 Dec 2017 | 1,797 |
| 31 | Age-related macular degeneration Laurence Shen Lim, Paul Mitchell, Johanna M. Seddon et al. · The Lancet | May 2012 | 1,754 |
| 32 | Detection of blood vessels in retinal images using two-dimensional matched filters Subhasis Chaudhuri, Sandip Chatterjee, Norman P. Katz et al. · IEEE Transactions on Medical Imaging | 1989 | 1,681 |
| 33 | A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants Lars G. Fritsche et al. · Nature Genetics | 21 Dec 2015 | 1,645 |
| 34 | Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices Michael D. Abràmoff, Philip T. Lavin, Michele Birch et al. · npj Digital Medicine | 21 Aug 2018 | 1,635 |
| 35 | Diabetic Retinopathy David A. Antonetti, Ronald Klein, Thomas W. Gardner · New England Journal of Medicine | 28 Mar 2012 | 1,633 |
| 36 | Age-related macular degeneration Paul Mitchell, Gerald Liew, Bamini Gopinath et al. · The Lancet | Sep 2018 | 1,601 |
| 37 | Epidemiology of diabetic retinopathy, diabetic macular edema and related vision loss Ryan Yimeng Lee, Tien Yin Wong, Charumathi Sabanayagam · Eye and Vision | 29 Sep 2015 | 1,598 |
| 38 | In the Eye of the Beholder: A Survey of Models for Eyes and Gaze Dan Witzner Hansen, Qiang Ji · IEEE Transactions on Pattern Analysis and Machine Intelligence | 9 Feb 2009 | 1,571 |
| 39 | f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein et al. · Medical Image Analysis | 31 Jan 2019 | 1,564 |
| 40 | Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification João V. B. Soares, J. J. G. Leandro, Roberto Marcondes Cesar Junior et al. · IEEE Transactions on Medical Imaging | 23 Aug 2006 | 1,508 |
| 41 | Retinal Imaging and Image Analysis Michael D. Abràmoff, Mona K. Garvin, Milan Sonka · IEEE Reviews in Biomedical Engineering | 2010 | 1,468 |
| 42 | FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE Étienne Decencière, Xiwei Zhang, Guy Cazuguel et al. · Image Analysis & Stereology | 26 Aug 2014 | 1,451 |
| 43 | The interpretation of a moving retinal image Hugh Christopher Longuet-Higgins, Kvetoslav Prazdny · Proceedings of the Royal Society B Biological Sciences | 17 Jul 1980 | 1,434 |
| 44 | Deep learning-enabled medical computer vision Andre Esteva, Katherine Chou, Serena Y. Yeung et al. · npj Digital Medicine | 8 Jan 2021 | 1,400 |
| 45 | Automated Identification of Diabetic Retinopathy Using Deep Learning Rishab Gargeya, Theodore Leng · Ophthalmology | 27 Mar 2017 | 1,395 |
| 46 | Diabetic Retinopathy: Pathophysiology and Treatments Wei Wang, Acy Lo · International Journal of Molecular Sciences | 20 Jun 2018 | 1,388 |
| 47 | Age-Related Macular Degeneration Rama D. Jager, William F. Mieler, Joan W. Miller · New England Journal of Medicine | 11 Jun 2008 | 1,360 |
| 48 | Onset of NIDDM occurs at Least 4–7 yr Before Clinical Diagnosis Maureen I Harris, Ronald Klein, Tim Welborn et al. · Diabetes Care | Jul 1992 | 1,317 |
| 49 | An Integrated Hypothesis That Considers Drusen as Biomarkers of Immune-Mediated Processes at the RPE-Bruch's Membrane Interface in Aging and Age-Related Macular Degeneration Gregory S. Hageman · Progress in Retinal and Eye Research | Nov 2001 | 1,277 |
| 50 | Deep Learning for Medical Image Processing: Overview, Challenges and the Future Imran Razzak, Saeeda Naz, Ahmad Zaib · Lecture notes in computational vision and biomechanics | 13 Nov 2017 | 1,273 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.