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2025
A deep learning model for diagnosis of inherited retinal diseases
Scientific Reports
2025
Machine learning demonstrates clinical utility in distinguishing retinoblastoma from pseudo retinoblastoma with RetCam images
Ophthalmic Genetics
2025
Deep learning-based classification of multiple fundus diseases using ultra-widefield images
Frontiers in Cell and Developmental Biology
2025
Recent advances on modeling retinal disease: Towards efficient gene/drug therapy
Experimental Eye Research
2025
Classification of Retinitis Pigmentosa Stages Based on Machine Learning by Fusion of Image Features of VF and MfERG Maps
Electronics
2025
Detection of retinitis pigmentosa stages with GAN and transfer learning in maps of MfERG P1 wave amplitudes
Signal, Image and Video Processing
2025
Comparative analysis of generic vision-language models in detecting and diagnosing inherited retinal diseases using fundus photographs
Eye
2025
A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches
Scientific Reports
2025
Applications of artificial intelligence to inherited retinal diseases: A systematic review
Survey of Ophthalmology
2025
Accuracy of a free, open source, machine learning model, made using teachable machine in detecting retinitis pigmentosa on fundus images
Kerala Journal of Ophthalmology
2025
Data Augmentation with Generative Methods for Inherited Retinal Diseases: A Systematic Review
Applied Sciences
2025
Lecture Notes in Networks and Systems
2025
Artificial intelligence techniques in inherited retinal diseases: a review
Biomedical Physics & Engineering Express
2025
Diagnostic Accuracy of AI Models in Detecting Different Inherited Retinal Diseases: A Systematic Review and Meta-Analysis
Translational Vision Science & Technology
2025
Classification of fundus autofluorescence images based on macular function in retinitis pigmentosa using convolutional neural networks
Japanese Journal of Ophthalmology
2025
Early detection and staging of retinitis pigmentosa using multifocal electroretinogram parameters and machine learning algorithms
Physical and Engineering Sciences in Medicine
2024
Diagnostic accuracy of artificial intelligence in detecting retinitis pigmentosa: A systematic review and meta-analysis
Survey of Ophthalmology
2024
A Detectability Analysis of Retinitis Pigmetosa Using Novel SE-ResNet Based Deep Learning Model and Color Fundus Images
IEEE Access
2024
Deep Learning Detection of Early Retinal Peripheral Degeneration From Ultra-Widefield Fundus Photographs of Asymptomatic Young Adult (17–19 Years) Candidates to Airforce Cadets
Translational Vision Science & Technology
2024
Enhancing retinal disease diagnosis through AI: Evaluating performance, ethical considerations, and clinical implementation
Informatics and Health
2024
Retinal Disease Diagnosis Using Deep Learning on Ultra-Wide-Field Fundus Images
Diagnostics
2024
Application of Convolutional Gated Recurrent Units U-Net for Distinguishing between Retinitis Pigmentosa and Cone–Rod Dystrophy
Acta Mechanica et Automatica
2023
Estimation of Visual Function Using Deep Learning From Ultra-Widefield Fundus Images of Eyes With Retinitis Pigmentosa
JAMA Ophthalmology
2023
Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images
British Journal of Ophthalmology
2023
The Impact of Artificial Intelligence in the Odyssey of Rare Diseases
Biomedicines
2023
Communications in Computer and Information Science
2023
2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS)
2023
Prediction of visual impairment in retinitis pigmentosa using deep learning and multimodal fundus images
British Journal of Ophthalmology
2022
DCNN-based prediction model for detection of age-related macular degeneration from color fundus images
Medical & Biological Engineering & Computing
2022
Deep learning for ultra-widefield imaging: a scoping review
Graefe's Archive for Clinical and Experimental Ophthalmology
2022
Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning
Nature Machine Intelligence
2022
Automated detection of retinal exudates and drusen in ultra-widefield fundus images based on deep learning
Eye
2021
Automatic screening of tear meniscus from lacrimal duct obstructions using anterior segment optical coherence tomography images by deep learning
Graefe's Archive for Clinical and Experimental Ophthalmology
2021
Artificial intelligence for diagnosis of inherited retinal disease: an exciting opportunity and one step forward
British Journal of Ophthalmology
2021
Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification
Medical & Biological Engineering & Computing
2021
Introspective analysis of convolutional neural networks for improving discrimination performance and feature visualisation
PeerJ Computer Science
2021
Structural evaluation in inherited retinal diseases
British Journal of Ophthalmology
2021
Foundations of Artificial Intelligence in Healthcare and Bioscience
2020
Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers
Journal of Translational Medicine
2020
Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography
PLOS ONE
2020
Deep learning from “passive feeding” to “selective eating” of real-world data
npj Digital Medicine
2020
Deep Neural Network-Based Method for Detecting Obstructive Meibomian Gland Dysfunction With in Vivo Laser Confocal Microscopy
Cornea
2020
Prediction of age and brachial-ankle pulse-wave velocity using ultra-wide-field pseudo-color images by deep learning
Scientific Reports
2020
Automatic Diagnosis of Familial Exudative Vitreoretinopathy Using a Fusion Neural Network for Wide-Angle Retinal Images
IEEE Access
2020
Lecture Notes in Computer Science
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