Retinal Imaging and Analysis

TopicLeading institutions, researchers & key papers

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.

369

Works

IDs:OpenAlex

How has Retinal Imaging and Analysis's publication output changed over time?

ScholarIQpublication output · 2010–2023

Output grew0% over the shown period — from 1 works in 2010 to 1 in 2023.

201020132015201620182019202020212023

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

S110447773. 20184,785 CitationsOPEN ACCESS

Weighted Res-UNet for High-Quality Retina Vessel Segmentation

Xiao Xiao, Sheng Lian, Zhiming Luo, Shaozi Li

2018962 Citations

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

Nature. 2023897 CitationsOPEN ACCESS

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

Ophthalmology. 2018847 Citations

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

Nature Communications. 2021602 CitationsOPEN ACCESS