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Algorithm for diabetic retinal image analysis based on deep learning |
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| Liwei Deng, Shanshan Liu, Yuxin Cheng, Guofu Zhao, Jiazhong Xu |
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| Multimedia Tools and Applications. 2023; |
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An open-source deep learning network AVA-Net for arterial-venous area segmentation in optical coherence tomography angiography |
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| Mansour Abtahi, David Le, Behrouz Ebrahimi, Albert K. Dadzie, Jennifer I. Lim, Xincheng Yao |
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| Communications Medicine. 2023; 3(1) |
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AV-casNet: Fully Automatic Arteriole-Venule Segmentation and Differentiation in OCT Angiography |
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| Xiayu Xu, Peiwei Yang, Hualin Wang, Zhanfeng Xiao, Gang Xing, Xiulan Zhang, Wei Wang, Feng Xu, Jiong Zhang, Jianqin Lei |
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| IEEE Transactions on Medical Imaging. 2023; 42(2): 481 |
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Detecting Retinal Vasculature as a Key Biomarker for Deep Learning-based Intelligent Screening and Analysis of Diabetic and Hypertensive Retinopathy |
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| Muhammad Arsalan, Adnan Haider, Young Won Lee, Kang Ryoung Park |
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| Expert Systems with Applications. 2022; : 117009 |
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Management of retinopathy of prematurity: an updated review |
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| Khaled El-Atawi, Nayef Alansar, Mahmoud ElHalik, Amani Abdelsamed, Rim Mahfouz |
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| Journal of Pediatrics & Neonatal Care. 2022; 12(1): 24 |
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Depth-resolved vascular profile features for artery-vein classification in OCT and OCT angiography of human retina |
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| Tobiloba Adejumo, Tae-Hoon Kim, David Le, Taeyoon Son, Guangying Ma, Xincheng Yao |
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| Biomedical Optics Express. 2022; 13(2): 1121 |
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MF-AV-Net: an open-source deep learning network with multimodal fusion options for artery-vein segmentation in OCT angiography |
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| Mansour Abtahi, David Le, Jennifer I. Lim, Xincheng Yao |
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| Biomedical Optics Express. 2022; 13(9): 4870 |
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Local-Sensitive Connectivity Filter (LS-CF): A Post-Processing Unsupervised Improvement of the Frangi, Hessian and Vesselness Filters for Multimodal Vessel Segmentation |
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| Erick O. Rodrigues, Lucas O. Rodrigues, Joăo H. P. Machado, Dalcimar Casanova, Marcelo Teixeira, Jeferson T. Oliva, Giovani Bernardes, Panos Liatsis |
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| Journal of Imaging. 2022; 8(10): 291 |
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Segmenting Retinal Vessels Using a Shallow Segmentation Network to Aid Ophthalmic Analysis |
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| Muhammad Arsalan, Adnan Haider, Ja Hyung Koo, Kang Ryoung Park |
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| Mathematics. 2022; 10(9): 1536 |
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Diabetic and Hypertensive Retinopathy Screening in Fundus Images Using Artificially Intelligent Shallow Architectures |
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| Muhammad Arsalan, Adnan Haider, Jiho Choi, Kang Ryoung Park |
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| Journal of Personalized Medicine. 2021; 12(1): 7 |
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Improving U-Net architecture and graph cuts optimization to classify arterioles and venules in retina fundus images |
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| Nguyen Thanh Binh, Nguyen Mong Hien, Dang Thanh Tin |
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| Journal of Intelligent & Fuzzy Systems. 2021; : 1 |
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The Impact of Chronic Heart Failure on Retinal Vessel Density Assessed by Optical Coherence Tomography Angiography in Children with Dilated Cardiomyopathy |
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| Klaudia Rakusiewicz,Krystyna Kanigowska,Wojciech Hautz,Lidia Ziólkowska |
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| Journal of Clinical Medicine. 2021; 10(12): 2659 |
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Optical coherence tomography angiography and arterial hypertension: A role in identifying subclinical microvascular damage? |
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| Simone Donati,Andrea Maria Maresca,Jennifer Cattaneo,Alessandra Grossi,Marco Mazzola,Simona Maria Caprani,Laura Premoli,Franco Docchio,Damiano Rizzoni,Luigina Guasti,Claudio Azzolini |
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| European Journal of Ophthalmology. 2021; 31(1): 158 |
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TW-GAN: Topology and Width Aware GAN for Retinal Artery/Vein Classification |
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| Wenting Chen, Shuang Yu, Kai Ma, Wei Ji, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng |
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| Medical Image Analysis. 2021; : 102340 |
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Apigenin and Ethaverine Hydrochloride Enhance Retinal Vascular Barrier In Vitro and In Vivo |
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| Weiwei Jiang,Huan Chen,Zhengfu Tai,Tian Li,Ling Luo,Zongzhong Tong,Weiquan Zhu |
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| Translational Vision Science & Technology. 2020; 9(6): 8 |
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Artificial Intelligence in Ophthalmology: A Meta-Analysis of Deep Learning Models for Retinal Vessels Segmentation |
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| Md. Mohaimenul Islam,Tahmina Nasrin Poly,Bruno Andreas Walther,Hsuan Chia Yang,Yu-Chuan (Jack) Li |
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| Journal of Clinical Medicine. 2020; 9(4): 1018 |
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Retinal blood flow in critical illness and systemic disease: a review |
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| E. Courtie,T. Veenith,A. Logan,A. K. Denniston,R. J. Blanch |
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| Annals of Intensive Care. 2020; 10(1) |
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Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels |
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| Devanjali Relan,Lucia Ballerini,Emanuele Trucco,Tom MacGillivray |
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| Multimedia Tools and Applications. 2019; 78(10): 12783 |
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19 |
Highlight article: Near infrared oximetry-guided artery–vein classification in optical coherence tomography angiography |
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| Taeyoon Son,Minhaj Alam,Tae-Hoon Kim,Changgeng Liu,Devrim Toslak,Xincheng Yao |
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| Experimental Biology and Medicine. 2019; 244(10): 813 |
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20 |
Joint segmentation and classification of retinal arteries/veins from fundus images |
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| Fantin Girard,Conrad Kavalec,Farida Cheriet |
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| Artificial Intelligence in Medicine. 2019; 94: 96 |
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21 |
Segmentation of retinal blood vessels based on feature-oriented dictionary learning and sparse coding using ensemble classification approach |
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| Navdeep Singh,Lakhwinder Kaur,Kuldeep Singh |
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| Journal of Medical Imaging. 2019; 6(04): 1 |
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22 |
Multiloss Function Based Deep Convolutional Neural Network for Segmentation of Retinal Vasculature into Arterioles and Venules |
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| Sufian A. Badawi,Muhammad Moazam Fraz |
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| BioMed Research International. 2019; 2019: 1 |
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23 |
Automatic retinal vessel segmentation using multi-scale superpixel chain tracking |
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| Jingliang Zhao,Jian Yang,Danni Ai,Hong Song,Yurong Jiang,Yong Huang,Luosha Zhang,Yongtian Wang |
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| Digital Signal Processing. 2018; 81: 26 |
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24 |
Cardiac pulsatility mapping and vessel type identification using laser speckle contrast imaging |
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| Dmitry D. Postnov,Sefik Evren Erdener,Kivilcim Kilic,David A. Boas |
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| Biomedical Optics Express. 2018; 9(12): 6388 |
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