ScholarIQanswers from OpenAlex
Retinal Imaging and Analysis
TopicLeading institutions, researchers & key papers
Retinal Imaging and Analysis is a topic indexed in ScholarIQ from OpenAlex.
What is known about Retinal Imaging and Analysis?
ScholarIQrecord summary
This cluster of papers focuses on the development and validation of deep learning algorithms for the detection and management of retinal diseases, particularly diabetic retinopathy. It includes topics such as vessel segmentation, optic nerve localization, cardiovascular risk prediction, macular degeneration, and glaucoma detection.
How many works does Retinal Imaging and Analysis have?
ScholarIQindexed works
Retinal Imaging and Analysis has 369 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Retinal Imaging and Analysis?
ScholarIQopenalex
The OpenAlex for Retinal Imaging and Analysis is on the source record.
What are the most-cited papers on Retinal Imaging and Analysis?
ScholarIQmost cited works
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Daniel Kermany, Michael H. Goldbaum, Wenjia Cai, Carolina C. S. Valentim, Huiying Liang, Sally L. Baxter, Alex McKeown, Ge Yang, Xiaokang Wu, Fangbing Yan, Justin Dong, Made K. Prasadha, Jacqueline Pei, Magdalene Yin Lin Ting, Jie Zhu, Christina Li, Sierra Hewett, Jason Dong, Ian Ziyar, Alexander Shi, Runze Zhang, Lianghong Zheng, Rui Hou, William Y. Shi, X Fu, Yaou Duan, Viet Anh Nguyen Huu, Cindy Wen, Edward D. Zhang, Charlotte L Zhang, Oulan Li, Xiaobo Wang, Michael Singer, Xiaodong Sun, Jie Xu, Ali Tafreshi, M. Anthony Lewis, Huimin Xia, Kang Zhang
Weighted Res-UNet for High-Quality Retina Vessel Segmentation
Xiao Xiao, Sheng Lian, Zhiming Luo, Shaozi Li
A foundation model for generalizable disease detection from retinal images
Yukun Zhou, Mark A. Chia, Siegfried K. Wagner, Murat Seçkin Ayhan, Dominic J. Williamson, Robbert Struyven, Timing Liu, Moucheng Xu, Mateo G. Lozano, Peter Woodward-Court, Yuka Kihara, Naomi E. Allen, John Gallacher, Thomas J. Littlejohns, Tariq Aslam, Paul Bishop, Graeme C. Black, Panagiotis I. Sergouniotis, Denize Atan, Andrew D. Dick, Cathy Williams, Sarah Barman, Jenny H. Barrett, Sarah Mackie, Tasanee Braithwaite, Roxana O. Carare, Sarah Ennis, Jane Whitney Gibson, Andrew Lotery, Jay Self, Usha Chakravarthy, Ruth Hogg, Euan Paterson, Jayne V. Woodside, Tünde Pető, Gareth J. McKay, Bernadette McGuinness, Paul J. Foster, Konstantinos Balaskas, Anthony P. Khawaja, Nikolas Pontikos, Jugnoo S. Rahi, Gerassimos Lascaratos, Praveen J. Patel, Michelle Chan, Sharon Chua, Alexander Day, Parul Desai, Cathy Egan, Marcus Fruttiger, David F. Garway‐Heath, Alison J. Hardcastle, Peng T. Khaw, Tony Moore, Sobha Sivaprasad, Nicholas G. Strouthidis, Dhanes Thomas, Adnan Tufail, Ananth C. Viswanathan, Bal Dhillon, Tom MacGillivray, Cathie Sudlow, Véronique Vitart, Alex S. F. Doney, Emanuele Trucco, Jeremy A. Guggeinheim, James E. Morgan, Christopher J. Hammond, Katie Williams, Pirro G. Hysi, Simon Harding, Yalin Zheng, Robert Luben, Philip J. Luthert, Zihan Sun, Martin McKibbin, Eoin O’Sullivan, Richard A. Oram, Mike Weedon, Christopher G. Owen, Alicja R. Rudnicka, Naveed Sattar, David Steel, Irene Stratton, Robyn J. Tapp, Max Yates, Axel Petzold, Savita Madhusudhan, André Altmann, Aaron Lee, Eric J. Topol, Alastair K. Denniston, Daniel C. Alexander, Pearse A. Keane
Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Zhixi Li, Yifan He, Stuart Keel, Wei Meng, Robert T. Chang, Mingguang He
A deep learning system for detecting diabetic retinopathy across the disease spectrum
Ling Dai, Liang Wu, Huating Li, Chun Cai, Qiang Wu, Hongyu Kong, Ruhan Liu, Xiangning Wang, Xuhong Hou, Yuexing Liu, Xiaoxue Long, Yang Wen, Lina Lu, Yaxin Shen, Yan Chen, Dinggang Shen, Xiaokang Yang, Haidong Zou, Bin Sheng, Weiping Jia
Where is Retinal Imaging and Analysis research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Retinal Imaging and Analysis is open access?
ScholarIQopen access share
53%OPEN ACCESS