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  1. 261

    Risk Factors for Neonatal White-Centered Retinal Hemorrhages: Clinical Implications for Prevention by He C, Liao Y, He X, Ye Z, Su S, Zhang Y

    Published 2025-03-01
    “…In Grade III retinal hemorrhage, 182 out of 188 cases (96.81%) displayed WCRH. …”
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    Article
  2. 262

    Multi-omic spatial effects on high-resolution AI-derived retinal thickness by V. E. Jackson, Y. Wu, R. Bonelli, J. P. Owen, L. W. Scott, S. Farashi, Y. Kihara, M. L. Gantner, C. Egan, K. M. Williams, B. R. E. Ansell, A. Tufail, A. Y. Lee, M. Bahlo

    Published 2025-02-01
    “…Analysis of common genomic variants, metabolomic, blood and immune biomarkers, disease PheCodes and genetic scores across a fine-scale macular thickness grid, reveals multiple novel genetic loci including four on the X chromosome; retinal thinning associated with many systemic disorders including multiple sclerosis; and multiple associations to correlated metabolites that cluster spatially in the retina. …”
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    Article
  3. 263

    Practical Applications of Artificial Intelligence Diagnostic Systems in Fundus Retinal Disease Screening by Wei Q, Chi L, Li M, Qiu Q, Liu Q

    Published 2025-03-01
    “…A comparative analysis was conducted between the AI-generated results and the evaluations by senior ophthalmologists to assess the diagnostic reliability and feasibility of the AI system in the context of ophthalmic screening.Results: : The AI diagnostic system demonstrated a sensitivity of 94.12% and specificity of 98.60% for diabetic retinopathy (DR); 89.50% sensitivity and 98.33% specificity for age-related macular degeneration (AMD); 91.55% sensitivity and 97.40% specificity for suspected glaucoma; 90.77% sensitivity and 99.10% specificity for pathological myopia; 81.58% sensitivity and 99.49% specificity for retinal vein occlusion (RVO); 88.64% sensitivity and 99.18% specificity for retinal detachment; 83.33% sensitivity and 99.80% specificity for macular hole; 82.26% sensitivity and 99.23% specificity for epiretinal membrane; 94.55% sensitivity and 97.82% specificity for hypertensive retinopathy; 83.33% sensitivity and 99.74% specificity for myelinated fibers; and 75.00% sensitivity and 99.95% specificity for retinitis pigmentosa. …”
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    Article
  4. 264

    A neural network classifier for detecting diabetic retinopathy from retinal images by M. M. Lukashevich

    Published 2023-08-01
    “…Predictive analytics can be based on the analysis of human retinal images using convolutional neural networks. …”
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    Article
  5. 265

    Modulation of retinal inflammation delays degeneration in a mouse model of geographic atrophy by Raela B. Ridley, Brianna M. Tischner, Jieun Lee, Erin Walsh, Michael T. Massengill, Alfred S. Lewin, Cristhian J. Ildefonso

    Published 2025-08-01
    “…Mice injected with the rAAV delivering M013 had transient protection of their retinal function at 3 months. Based on ERG evaluations, the intravitreal injection of rAAV delivering sGFP-TatM013v5 significantly delayed the loss of retinal function. …”
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    Article
  6. 266

    Neutrophil/Lymphocyte Ratio and Platelet/Lymphocyte Ratio in Branch Retinal Vein Occlusion by Dan-dan Zhu, Xun Liu

    Published 2019-01-01
    “…To evaluate the neutrophil/lymphocyte ratio (NLR) and the platelet/lymphocyte ratio(PLR) value in the development of branch retinal vein occlusion (BRVO)patients. Methods. 81 patients with BRVO and 81 age and sex-matched subjects were recruited as the control group. …”
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    Article
  7. 267

    Prognostic biomarkers in treatment-naïve central retinal vein occlusion with macular edema by Yu Song, Qian Wang, Yu Du, Hong Tian, Yangyang Xu, Rui Min Chen, Shancheng Si

    Published 2025-07-01
    “…Abstract Significance of this study Reduced pulse pressure (PP) reflects impaired systemic perfusion and may exacerbate retinal ischemia in central retinal vein occlusion-induced macular edema (CRVO-ME) by compromising ocular blood flow autoregulation. …”
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    Article
  8. 268

    A Deep Learning Approach for Diabetic Retinopathy Classification Using Retinal Images by Rathod-Jadhav Kavita, Pande Aparna

    Published 2025-01-01
    “…The folding neural network (CNN) model architecture analyzes retinal images and classifies them with high accuracy as diabetic or non-diabetic classification. …”
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    Article
  9. 269

    Nonrigid Multimodal Registration Based on Fuzzy Inference System for Retinal Image Registration by Monire Sheikh Hosseini, Hossein Rabbani

    Published 2025-05-01
    “…Despite its straightforward implementation, the method effectively addresses the challenges of multimodal retinal image registration, providing a reliable tool for advanced ocular imaging analysis.…”
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    Article
  10. 270

    Network and atomistic simulations unveil the structural determinants of mutations linked to retinal diseases. by Simona Mariani, Daniele Dell'Orco, Angelo Felline, Francesco Raimondi, Francesca Fanelli

    Published 2013-01-01
    “…A number of incurable retinal diseases causing vision impairments derive from alterations in visual phototransduction. …”
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    Article
  11. 271

    The Evolution of Central Retinal and Choroidal Thickness in Acute Anterior Uveitic Patients with Spondyloarthropathy by Zsuzsanna Szepessy, Árpád Barsi, Kinga Kránitz, Zoltán Zsolt Nagy

    Published 2018-01-01
    “…Treatment consisted of topical corticosteroids. Statistical analysis was performed by MathWorks Matlab software. …”
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    Article
  12. 272

    The structure of human retinal vasculature and interstitium in the terminal stage of primary openangle glaucoma by N. P. Bgatova, N. A. Obanina, A. V. Eremina, A. N. Trunov, V. V. Chernykh

    Published 2022-06-01
    “…The ultrastructural organization of the interstitium and endothelial cells of retinal microvessels was studied by electron microscopy and morphometry.Results. …”
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    Article
  13. 273

    Effect of Storage Temperature on Key Functions of Cultured Retinal Pigment Epithelial Cells by Lara Pasovic, Jon Roger Eidet, Berit S. Brusletto, Torstein Lyberg, Tor P. Utheim

    Published 2015-01-01
    “…Comparison of the microarray expression values with qRT-PCR analysis of selected genes validated the results. Results. …”
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    Article
  14. 274

    Quadrant asymmetry alteration of deep retinal capillary plexus degeneration in pathological myopia by Yilei Shao, Meixiao Shen, Fan Lu, Jie Ye

    Published 2025-03-01
    “…Abstract Background To measure quadrant asymmetry (QA) alterations of macular retinal microvascular density and determine their effect on pathological myopia. …”
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    Article
  15. 275

    Anatomical Retinal Changes after Photodynamic Therapy in Chronic Central Serous Chorioretinopathy by María Pilar Ruiz-del-Tiempo, Pilar Calvo, Antonio Ferreras, Jesús Leciñena, Luis Pablo, Oscar Ruiz-Moreno

    Published 2018-01-01
    “…Methods. A retrospective analysis was conducted on 43 patients (48 eyes) with chronic CSC treated with PDT. …”
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  16. 276

    Intermittent control and retinal optic flow when maintaining a curvilinear path by Björnborg Nguyen, Ola Benderius

    Published 2025-05-01
    “…In addition, a novel method of identifying constituent ballistic correction using particle swarm optimization was demonstrated to analyze the incremental correction-based behavior. Through time delay analysis, our results show a human response time of approximately 0.14 s for retinal optic flow-based cues and 0.44 s for heading-based cues, measured from stimulus onset to steering correction onset. …”
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    Article
  17. 277

    Macular Microcysts in Mitochondrial Optic Neuropathies: Prevalence and Retinal Layer Thickness Measurements. by Michele Carbonelli, Chiara La Morgia, Giacomo Savini, Maria Lucia Cascavilla, Enrico Borrelli, Filipe Chicani, Carolina do V F Ramos, Solange R Salomao, Vincenzo Parisi, Jerry Sebag, Francesco Bandello, Alfredo A Sadun, Valerio Carelli, Piero Barboni

    Published 2015-01-01
    “…<h4>Purpose</h4>To investigate the thickness of the retinal layers and to assess the prevalence of macular microcysts (MM) in the inner nuclear layer (INL) of patients with mitochondrial optic neuropathies (MON).…”
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  18. 278

    Reactivation of Acute Retinal Necrosis following SARS-CoV-2 Infection by Monica P. Gonzalez, Radames Rios, Mariella Pappaterra, Miguel Hernandez, Allison Toledo, Carmen Santos, Andres Emanuelli, Shree K. Kurup, Armando L. Oliver

    Published 2021-01-01
    “…An ophthalmological examination revealed findings consistent with acute retinal necrosis of the right eye. A polymerase chain reaction (PCR) analysis of the right vitreous was positive for herpes simplex virus type 2 (HSV-2). …”
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  19. 279

    OPTNet: Optimized Pixel-Transformer Model for Adaptive Retinal Fundus Image Enhancement by Faisal Majed Alqahtani, Somaya Adwan, Mohd Yazed Ahmad, Salmah Binti Karman

    Published 2025-01-01
    “…Retinal low-quality images present significant challenges for accurate diagnosis and monitoring of eye diseases by obscuring critical anatomical features and reducing analytical precision. …”
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    Article
  20. 280

    Retinal Nerve Fiber Layer Measurements in Myopia Using Optical Coherence Tomography by Dennis L. del Rosario, MD, Mario M. Yatco, MD

    Published 2014-06-01
    “…Objective: To evaluate the relationship between retinal nerve fiber layer (RNFL) thickness measured by optical coherence tomography (OCT) and the degree of myopia. …”
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    Article