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2025	2025 International Conference on Networks and Cryptology (NETCRYPT) Piyush Anand, Ajay Shanker Singh, Alok Katiyar
2025	Generative artificial intelligence in ophthalmology: a scoping review of current applications, opportunities, and challenges Eye Aljeena Rahat Qureshi, Jonathan A. Micieli, Jovi C. Y. Wong
2025	DiabEyeNet: Integrating Residual Inception Networks and Chaotic Optimization for Robust Diabetic Retinopathy Detection Iranian Journal of Science and Technology, Transactions of Electrical Engineering S. Chandravadhana, V. Anusuya, D. Kirubha, P. Archana, Pyla Ravikiran
2025	2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI) Km Meenakshi, Shakeeluddin, Abhishek Kumar, Deepshikha Bhargava
2025	Commentary on “Photodiagnosis with deep learning: A GAN and autoencoder-based approach for diabetic retinopathy detection” by Gencer et al., 2025 Photodiagnosis and Photodynamic Therapy Ahmadreza Siyasari, Motahareh Sabaghi Qalanou, Sadegh Dehghanmehr
2025	Advances in Healthcare Information Systems and Administration P. Ramkumar, Sivaprakash C.
2025	Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis Frontiers in Endocrinology Zheng Bi, Jinju Li, Qiongyi Liu, Zhaohui Fang
2025	2025 International Conference on Computing Technologies (ICOCT) Gandasiri Sriram, Ganja Siddi Ganesh, Ganapathi Sanjay, Golla DharmaTeja, Thoutireddy Shilpa
2025	An explainable deep-learning model reveals clinical clues in diabetic retinopathy through SHAP Biomedical Signal Processing and Control María Herrero-Tudela, Roberto Romero-Oraá, Roberto Hornero, Gonzalo C. Gutiérrez Tobal, María I. López, María García
2025	RetinoDeep: Leveraging Deep Learning Models for Advanced Retinopathy Diagnostics Sensors Sachin Kansal, Bajrangi Kumar Mishra, Saniya Sethi, Kanika Vinayak, Priya Kansal, Jyotindra Narayan
2025	Leveraging Ensembles of Pre-trained CNNs for Improved Lung Cancer Detection and Classification Procedia Computer Science Dasari Bhulakshmi, Dharmendra singh rajput
2025	Optimizing diabetic retinopathy detection with electric fish algorithm and bilinear convolutional networks Scientific Reports Udayaraju Pamula, Venkateswararao Pulipati, G. Vijaya Suresh, M. V. Jagannatha Reddy, Anil Kumar Bondala, Srihari Varma Mantena, Ramesh Vatambeti
2025	Forecasting the diabetic retinopathy progression using generative adversarial networks Communications Medicine Huiyu Qiao, Feilong Tang, Huanfen Zhou, Yun Cai, Kairou Guo, Jin Wang, Tong Ma, Lie Ju, Wei Feng, Zhiqiang Ma, Juan Chen, Yuan Luo, Bin Wang, Zongyuan Ge, Qiansu Yang
2025	A decentralized privacy-preserving framework for diabetic retinopathy detection using federated learning and blockchain Results in Engineering Omar Dib
2025	A Review on Research and Application of AI-Based Image Analysis in the Field of Computer Vision IEEE Access Pan Wu, Xiaoqiang He, Wenhao Dai, Jingwei Zhou, Yutong Shang, Yourong Fan, Tao Hu
2025	Machine learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy Gene Yulin Tao, Minqi Xiong, Yirui Peng, Lili Yao, Haibo Zhu, Qiong Zhou, Jun Ouyang
2025	Fusion-Attention Diagnosis Network (FADNet): An end-to-end framework for optic disc segmentation and ocular disease classification Information Fusion Yichen Xiao, Xuan Ding, Shengtao Liu, Yong Ma, Ting Zhang, Ziwei Xiang, Ruyi Zhang, Teruko Fukuyama, Jing Zhao, Yanze Yu, Xuejun Wang, Qinghong Lin, Yu Zhao, Guangyang Tian, Shiping Wen, Zhi Chen, Xingtao Zhou
2025	AMSFuse: Adaptive Multi-Scale Feature Fusion Network for Diabetic Retinopathy Classification Computers, Materials & Continua Chengzhang Zhu, Ahmed Alasri, Tao Xu, Yalong Xiao, Abdulrahman Noman, Raeed Alsabri, Xuanchu Duan, Monir Abdullah
2025	Optimized prediction of diabetes complications using ensemble learning with Bayesian optimization: a cost-efficient laboratory-based approach Frontiers in Endocrinology Dapeng Yan, Xiaohan Li, Yifan Wang, Zhikuang Cai
2025	Hybrid optimization-enhanced deep learning for effective diabetic retinopathy classification using OCT images: A step towards accessible and affordable healthcare solutions Biomedical Signal Processing and Control Sangeetha Krishnan, Valarmathi K
2025	MEDCnet: A Memory Efficient Approach for Processing High‐Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN International Journal of Imaging Systems and Technology Mohsin Butt, D. N. F. Awang Iskandar, Majid Ali Khan, Ghazanfar Latif, Abul Bashar
2024	Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization Systems Science & Control Engineering Dasari Bhulakshmi, Dharmendra Singh Rajput
2024	Retinal Health Screening Using Artificial Intelligence With Digital Fundus Images: A Review of the Last Decade (2012–2023) IEEE Access Saad Islam, Ravinesh C. Deo, Prabal Datta Barua, Jeffrey Soar, Ping Yu, U. Rajendra Acharya
2024	2024 International Conference on Smart Technologies for Sustainable Development Goals (ICSTSDG) S. Nithyapriya, S. Yuvalatha, S. Prabhavathy, T. Arun, S.K Muthusundar, Antonidoss A
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