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Azhar Imran, Jianqiang Li, Yan Pei, Faheem Akhtar, Ji-Jiang Yang & Yanping Dang. (2020) Automated identification of cataract severity using retinal fundus images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 8:6, pages 691-698.
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Or Abramovich, Hadas Pizem, Jan Van Eijgen, Ilan Oren, Joshua Melamed, Ingeborg Stalmans, Eytan Z. Blumenthal & Joachim A. Behar. (2023) FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading. Computer Methods and Programs in Biomedicine 239, pages 107522.
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Sunita Yadav & Jay Kant Pratap Singh Yadav. (2023) Automatic Cataract Severity Detection and Grading Using Deep Learning. Journal of Sensors 2023, pages 1-17.
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Xi Xu, Yu Guan, Jianqiang Li, Zerui Ma, Li Zhang & Li Li. (2021) Automatic glaucoma detection based on transfer induced attention network. BioMedical Engineering OnLine 20:1.
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Xi Xu, Jianqiang Li, Yu Guan, Linna Zhao, Qing Zhao, Li Zhang & Li Li. (2021) GLA-Net: A global-local attention network for automatic cataract classification. Journal of Biomedical Informatics 124, pages 103939.
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Azhar Imran, Jianqiang Li, Yan Pei, Faheem Akhtar, Tariq Mahmood & Li Zhang. (2020) Fundus image-based cataract classification using a hybrid convolutional and recurrent neural network. The Visual Computer 37:8, pages 2407-2417.
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Xi Xu, Linglin Zhang, Jianqiang Li, Yu Guan & Li Zhang. (2020) A Hybrid Global-Local Representation CNN Model for Automatic Cataract Grading. IEEE Journal of Biomedical and Health Informatics 24:2, pages 556-567.
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Azhar Imran, Jianqiang Li, Yan Pei, Fawaz Mahiuob Mokbal, Ji-Jiang Yang & Qing Wang. 2020. Frontier Computing. Frontier Computing
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Azhar Imran, Jianqiang Li, Yan Pei, Faheem Akhtar, Ji-Jiang Yang & Qing Wang. (2019) Cataract Detection and Grading with Retinal Images Using SOM-RBF Neural Network. Cataract Detection and Grading with Retinal Images Using SOM-RBF Neural Network.
Jun Cheng, Zhengguo Li, Zaiwang Gu, Huazhu Fu, Damon Wing Kee Wong & Jiang Liu. (2018) Structure-Preserving Guided Retinal Image Filtering and Its Application for Optic Disk Analysis. IEEE Transactions on Medical Imaging 37:11, pages 2536-2546.
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Önder DEMİR, Buket DOĞAN, Esra ÇALIK BAYEZİT & Kazım YILDIZ. (2018) Automatic Detection And Calculation Of Drusen Areas In Retinal Fundus Fluorescein Angiography ImagesRetina Fundus Floresan Anjiyografi Görüntülerinde Drüsen Alanlarının Otomatik Tespiti ve Büyüklüklerinin Hesaplanması. Marmara Fen Bilimleri Dergisi 30:2, pages 126-132.
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Sheela N. Rao & Basavaraj L. (2018) Shearlet-Based Feature Extraction for the Detection and Classification of Age-Related Macular Degeneration in Spectral Domain Optical Coherence Tomography Images. Journal of Clinical Engineering 43:4, pages 178-186.
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M. Esmaeili, A. M. Dehnavi & H. Rabbani. (2017) 3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images. Journal of Electrical and Computer Engineering 2017, pages 1-12.
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Ji-Jiang Yang, Jianqiang Li, Ruifang Shen, Yang Zeng, Jian He, Jing Bi, Yong Li, Qinyan Zhang, Lihui Peng & Qing Wang. (2016) Exploiting ensemble learning for automatic cataract detection and grading. Computer Methods and Programs in Biomedicine 124, pages 45-57.
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Jin Zheng, Liye Guo, Lihui Peng, Jianqiang Li, Jijiang Yang & Qingfeng Liang. (2014) Fundus image based cataract classification. Fundus image based cataract classification.