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  1. 981
  2. 982

    Clinical features evaluation of myopic fundus tessellation from OCTA and MfERG by Yanyan Zhang, Yan Zhong, Wei Mao, Zhe Zhang, Yusheng Zhou, Hu Li, Jianing Ying, Quanyong Yi

    Published 2025-04-01
    “…Data obtained via OCTA and ImageJ software included macular foveal thickness (MT), subfoveal choroidal thickness (SFCT), superficial retinal capillary layer vascular density (SVD), deep retinal capillary layer vascular density (DVD), and choroidal blood capillary layer blood flow density (CFD). …”
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    Article
  3. 983

    The Role of Artificial Intelligence in Enhancing Diabetic Retinopathy Lesion Detection: A Review by Lakshmi K Santhiya, Sargunam B

    Published 2024-04-01
    “…Therefore, deep learning algorithms have been used for the early diagnosis of DR in recent years, and medical image analysis utilising machine learning has demonstrated to be effective in evaluating retinal fundus images. …”
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    Article
  4. 984
  5. 985

    Reply to: mRNA COVID-19 vaccinations are not associated with RVO development 21 days and 12 weeks after vaccination by Jing-Xing Li, Yu-Hsun Wang, Henry Bair, Shu-Bai Hsu, Connie Chen, James Cheng-Chung Wei, Chun-Ju Lin

    Published 2024-10-01
    “…‘s focus on the first 21 days. We conducted a re-analysis regarding selection bias and found consistent results. …”
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    Article
  6. 986

    Le « brouilloscope », un nuancier pour éclairer les troubles de la perception by Helma Korzybska

    Published 2024-12-01
    “…This research, conducted simultaneously with analysis of field data, enabled a better understanding of the nature of changes in the learning of bionic vision and hearing, whose protean appearance proves to be fundamentally attentional.…”
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    Article
  7. 987

    Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography by Haoyang Cui, Chen Wang, Paul Calle, Yunlong Liu, Qinghao Zhang, Sinaro Ly, Justin Reynolds, Feng Yan, Ke Zhang, Ronghao Liu, Junyuan Liu, Kar-Ming Fung, Zhongxin Yu, Ajay Jain, Qinggong Tang, Chongle Pan

    Published 2025-01-01
    “…To address these challenges, we developed Octascope, a lightweight domain-specific convolutional neural network (CNN) - based model designed for OCT image analysis. Octascope was pre-trained using a curriculum learning approach, which involves sequential training, first on natural images (ImageNet), then on OCT images from retinal, abdominal, and renal tissues, to progressively acquire transferable knowledge. …”
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    Article
  8. 988

    A key role of the PGC-1α/ERR-α pathway in regulation of angiogenic factors in proliferative diabetic retinopathy by Ahmed M. Abu El-Asrar, Ahmed M. Abu El-Asrar, Mohd I. Nawaz, Ajmal Ahmad, Mairaj M. Siddiquei, Eef Allegaert, Eef Allegaert, Priscilla W. Gikandi, Gert De Hertogh, Gert De Hertogh, Ghislain Opdenakker, Ghislain Opdenakker, Ghislain Opdenakker

    Published 2025-07-01
    “…Vitreous samples, epiretinal membranes, rat retinas, human retinal Müller glial cells and human retinal microvascular endothelial cells (HRMECs) were studied by Western blot analysis, ELISA and immunohistochemistry. …”
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    Article
  9. 989

    Analytical HPLC-separation of retinoid derivatives of natural and 3,4-didehydro series by N. E. Belikov, A. A. Khodonov, O. V. Demina, M. A. Yakovleva, T. B. Feldman, M. A. Ostrovsky

    Published 2014-02-01
    “…The all-E-3,4- didehydroretinal synthetic route developed earlier has been polished, and the product structure has been confirmed by physical-chemical analysis methods. The chromatographic separation process of Z-isomers of natural retinal and 3,4-didehydroretinal has been studied under isocratic flow conditions with the use of one and two sequentially connected normal phase columns. …”
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  10. 990

    Exploration of choroidal vascular changes in juveniles with different degrees of myopia: The application of swept-source optical coherence tomography angiography by Linbo He, Qing Wang, Ziyang Li, Libing Song, Bo Liu, Yuli Yang

    Published 2025-08-01
    “…Multivariate regression analysis was employed to determine the ocular and demographic factors associated with retinal and choroidal blood flow indicators. …”
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    Article
  11. 991

    EFFResNet-ViT: A Fusion-Based Convolutional and Vision Transformer Model for Explainable Medical Image Classification by Tahir Hussain, Hayaru Shouno, Abid Hussain, Dostdar Hussain, Muhammad Ismail, Tatheer Hussain Mir, Fang Rong Hsu, Taukir Alam, Shabnur Anonna Akhy

    Published 2025-01-01
    “…The proposed model was evaluated on two benchmark datasets: brain tumor (BT) CE-MRI for BT classification and a retinal image dataset for ophthalmological diagnosis. …”
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  12. 992
  13. 993

    Factors that contribute to loss to follow-up in the medium term after initiation of anti-vascular endothelial growth factor therapy for neovascular age-related macular degeneration... by Takaaki Sugisawa, Fumi Gomi, Yuri Harada, Hiroko Imaizumi, Shuichiro Aoki, Akiko Miki, Maya Kishi, Tomofusa Yamauchi, Daisuke Nagasato, Yoko Ozawa, Masatoshi Haruta, Nobuhiro Kato, Hisashi Matsubara, Tsutomu Yasukawa, Aki Kato, Hiroto Terasaki, Takao Hirano, Yasuhiro Iesato, Hiroki Tsujinaka, Tomoya Murakami, Yoshinori Mitamura, Makiko Wakuta, Kazuhiro Kimura, Masahiko Shimura, J-CREST (Japan Clinical Retina Study) Group

    Published 2025-01-01
    “…Stepwise regression analysis identified factors that were significantly associated with LTFU at a very early stage to be greater central retinal thickness at baseline and a prior treatment history, those associated with early LTFU to be worse baseline best-corrected visual acuity (BCVA), anti-VEGF treatment combined with photodynamic therapy, and a follow-up period that overlapped with the COVID-19 pandemic, and that associated with medium-term LTFU to be worse BCVA at 3 months. …”
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  14. 994

    The pivotal role of inflammatory factors in glaucoma: a systematic review by Bin Lin, Bin Lin, Bin Lin, Bin Lin, Bin Lin, Bin Lin, Dongkan Li, Dongkan Li, Dongkan Li, Dongkan Li, Dongkan Li, Dongkan Li

    Published 2025-05-01
    “…They impact trabecular meshwork function, damage retinal ganglion cells, and activate the complement system. …”
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    Article
  15. 995

    Structural and functional correlations in the pre-perimetric and the initial stages of glaucomatous optic neuropathy by M. O. Kirillova, A. N. Zhuravleva, M. V. Zueva, I. V. Tsapenko

    Published 2021-06-01
    “…Spearman correlation analysis was used to identify correlations between OCT and electroretinography (ERG) data. …”
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    Article
  16. 996

    Impact of tafluprost and tafluprost/timolol on the thickness of the retina in the macular area by N. I. Kurysheva, E. V. Polunina, D. D. Arzhukhanov, A. M. Tkhamadokova

    Published 2019-03-01
    “…To assess the effect of tafluprost and tafloprost/timolol on the retinal thickness in the macular area in patients with POAG. …”
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    Article
  17. 997
  18. 998

    Сolor Doppler Imaging in Eye Hemodynamics Evaluation in Syndrome of Thrombotic Microangiopathy by T. V. Smirnova, N. I. Kozlovskaya, V. M. Sheludchenko, D. V. Andzhelova, E. E. Kazaryan, O. V. Eksarenko, I. A. Velieva, M. V. Khasyanova

    Published 2019-01-01
    “…The spectrum of blood flow in the ophthalmic artery (OA), central retinal artery (CRA), central retinal vein (CRV), in the medial and lateral short posterior ciliary arteries (SPCA) was recorded and the following parameters were determined: maximum systolic velocity (Vsyst), final diastolic velocity (Vdiast), peripheral resistance index (RI), pulsation index (PI). …”
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    Article
  19. 999

    Attention dual transformer with adaptive temporal convolutional for diabetic retinopathy detection by Mishmala Sushith, Ajanthaa Lakkshmanan, M. Saravanan, S. Castro

    Published 2025-03-01
    “…Abstract An Attention Dual Transformer with Adaptive Temporal Convolutional (ADT-ATC) model is proposed in this research work for enhanced detection of Diabetic Retinopathy (DR) from retinal fundus images. Unlike traditional methods which evolved so far in DR analysis, the proposed model specifically processes the multi-scale spatial features through dual spatial transformer network and captures the temporal dependencies through adaptive temporal convolutional unit. …”
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    Article
  20. 1000

    Near-infrared fluorescent nanoprobe enables noninvasive, longitudinal monitoring of graft outcome in RPE transplantation by Guanzhou Di, Chen Lu, Mengting Xue, Limin Zheng, Limin Zheng, Weiqi Li, Runmin Xie, Xinpei Yuan, Xu Zhen, Min Wu, Xiying Mao, Songtao Yuan

    Published 2025-05-01
    “…ObjectivesRetinal pigment epithelium (RPE) cell transplantation holds therapeutic promise for retinal degenerative diseases, but longitudinal monitoring of graft survival and efficacy remains clinically challenging. …”
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    Article