Predicting the Degree of Coronary Artery Stenosis Through Retinal Vascular Characteristics and Minimal Clinical Information by Zhang G, Ding Y, Ma T, Zhou S, Wang B, Chang X, Zeng Y

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FundusNet: A Deep-Learning Approach for Fast Diagnosis of Neurodegenerative and Eye Diseases Using Fundus Images by Wenxing Hu, Kejie Li, Jake Gagnon, Ye Wang, Talia Raney, Jeron Chen, Yirui Chen, Yoko Okunuki, Will Chen, Baohong Zhang

Subjects: “…fundus…”
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Fundus Autofluorescence and Clinical Applications by Cameron Pole, Hossein Ameri

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Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases by K. A. Muthukumar, Dhruva Nandi, Priya Ranjan, Krithika Ramachandran, Shiny PJ, Anirban Ghosh, Ashwini M, Aiswaryah Radhakrishnan, V. E. Dhandapani, Rajiv Janardhanan

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The consistency and efficacy of optical coherence tomography for the evaluation of ocular torsion angle in children by Rongjun Liu, Jingjing Zhao, Kaili Yu, Dehai Zhu

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Correlation of cytokine storm with ocular fundus abnormalities in critically ill patients with severe viral pneumonia by Yun Yu, Yun-jiao Zhao, Qi-hang Zhou, Xiao-yin Zhou, Yu-qing Lan, Hai-jun Gong

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A comprehensive review on early detection of drusen patterns in age-related macular degeneration using deep learning models by Kiruthika M, Malathi G

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The prevalence and 6-year incidence of myopic tessellation in a Chinese rural adult population: the Handan Eye Study by Caixia Lin, Jian Wu, Kai Cao, Bingsong Wang, Yuxin Fang, Ohno-Matsui Kyoko, Yunyun Sun, Jie Hao, Lixia Ma, Ye Zhang, Qing Zhang, Ningli Wang, the Handan Eye Study Group

Subjects: “…Fundus tessellation…”
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Fundus Images-Based Detection and Grading of Macular Edema Using Robust Macula Localization by Adeel M. Syed, M. Usman Akram, Tahir Akram, Muhammad Muzammal, Shehzad Khalid, Muazzam Ahmed Khan

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Indocyanine green fluorescence improves safety in laparoscopic cholecystectomy using the Fundus First technique: a retrospective study by Susanna Haverinen, Susanna Haverinen, Evelina Pajus, Gabriel Sandblom, Gabriel Sandblom, Yücel Cengiz, Yücel Cengiz

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Associations of Retinal Microvascular Density and Fractal Dimension with Glaucoma: A Prospective Study from UK Biobank by Qi Chen, MD, Suyu Miao, MD, Yuzhe Jiang, MD, Danli Shi, MD, PhD, Weiyun You, MD, Lin Liu, MD, PhD, Mayinuer Yusufu, MTI, Yufan Chen, MD, Ruobing Wang, MD, PhD

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A pilot study on diabetes detection using handheld fundus camera and mobile app development by Hamada R. H. Al-Absi, Gilbert Njihia Muchori, Saleh Musleh, Syed Abdullah Basit, Mohammad Tariqul Islam, Younss Ait Mou, Tanvir Alam

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Relationship between fundus of the eye examination and arterial stiffness by Eduardo Costa Duarte Barbosa, Eduardo Costa Duarte Barbosa, Ana Carolina Storch Klein, Julia Gabriela Storch Klein, Camila Samrsla Möller, Eliane Fátima Manfio, Bruna Eibel, Carolina da Silva Mengue, Carolina da Silva Mengue

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Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset by Asadi Srinivasulu, Clement Varaprasad Karu, G Sreenivasulu, Gayathri R

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External Validation of Deep Learning Models for Classifying Etiology of Retinal Hemorrhage Using Diverse Fundus Photography Datasets by Pooya Khosravi, Nolan A. Huck, Kourosh Shahraki, Elina Ghafari, Reza Azimi, So Young Kim, Eric Crouch, Xiaohui Xie, Donny W. Suh

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Digital fundus image quality assessment by V. V. Starovoitov, Y. I. Golub, M. M. Lukashevich

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Retinal assessment in 143 patients with white matter lesions: the potential of OCTA as an evaluation tool by Dong Zhang, Xueying Jiang, Yan Zhang, Jingcui Qin

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Effects of pregnancy on the clinical course and treatment outcomes of Vogt–Koyanagi–Harada disease by Navya Cherukuri, Somasheila I Murthy, Mudit Tyagi

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Comparative analysis of retinal vascular structural parameters in populations with different glucose metabolism status based on color fundus photography and artificial intelligence by Naimei Chen, Naimei Chen, Zhentao Zhu, Di Gong, Xinrong Xu, Xinya Hu, Weihua Yang

Subjects: “…color fundus photography…”
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DBU-Net: Dual-Branch U-Net for Retinal Fundus Image Super-Resolution Under Complex Degradation Conditions by Xianghui Chen, Shi Qiu, Yue Wang, Yu Zhang, Zhaoyan Liu, Xinhong Wang, Weiyuan Yao, Hongjia Cheng, Feihong Wang, Zhan Shu, Xuesong Li

Subjects: “…Retinal fundus image…”
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