Automated detection of crystalline retinopathy via fundus photography using multistage generative adversarial networks

Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review

(2023) K.C. Pavithra et al.   Biocybernetics and Biomedical Engineering

Discriminative kernel convolution network for multi-label ophthalmic disease detection on imbalanced fundus image dataset

(2023) Amit Bhati et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Classification of Diabetic Retinopathy Severity in Fundus Images Using the Vision Transformer and Residual Attention

(2023) Zongyun Gu et al.   Computational Intelligence and Neuroscience

Diagnostic and Management Strategies of Bietti Crystalline Dystrophy: Current Perspectives

(2023) Ali Osman Saatci et al.   Clinical Ophthalmology

Lipids, hyperreflective crystalline deposits and diabetic retinopathy: potential systemic and retinal-specific effect of lipid-lowering therapies

(2022) Alicia J. Jenkins et al.   DIABETOLOGIA

Non-equivalent images and pixels: confidence-aware resampling with meta-learning mixup for polyp segmentation

(2022) Xiaoqing Guo et al.   MEDICAL IMAGE ANALYSIS

Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey

(2022) Aram You et al.   Eye and Vision

Serum advanced glycation end‑products and αB‑crystallin in diabetic retinopathy patients

(2022) Taku Yamamoto et al.   Biomedical Reports

A deep learning approach for detection of shallow anterior chamber depth based on the hidden features of fundus photographs

(2022) Tae Keun Yoo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Ameliorative effect of pioglitazone on glucose induced glycation of α-crystallin: Management of complications associated with diabetic retinopathy

(2022) Zengjin Ren et al.   INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES

Crystalline retinopathy in a 6-year-old boy with history of high-dose tamoxifen use

(2022) Namita E. Mathew et al.   Retinal Cases and Brief Reports

Oculomics for sarcopenia prediction: a machine learning approach toward predictive, preventive, and personalized medicine

(2022) Bo Ram Kim et al.   EPMA Journal

Synthetic augmentation for semantic segmentation of class imbalanced biomedical images: A data pair generative adversarial network approach

(2022) Lu Chai et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning for rare disease: A scoping review

(2022) Junghwan Lee et al.   JOURNAL OF BIOMEDICAL INFORMATICS

DeepPDT-Net: predicting the outcome of photodynamic therapy for chronic central serous chorioretinopathy using two-stage multimodal transfer learning

(2022) Tae Keun Yoo et al.   Scientific Reports

The role of big data analysis in identifying a relationship between glaucoma and diabetes mellitus

(2022) Ein Oh et al.   Annals of Translational Medicine

Automated malarial retinopathy detection using transfer learning and multi-camera retinal images

(2022) Aswathy Rajendra Kurup et al.   Biocybernetics and Biomedical Engineering

Optical coherence tomography angiography in Bietti crystalline dystrophy

(2022) Marina Montemagni et al.   EUROPEAN JOURNAL OF OPHTHALMOLOGY

Feasibility study to improve deep learning in OCT diagnosis of rare retinal diseases with few-shot classification

(2021) Tae Keun Yoo et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Applications of Deep Learning in Fundus Images: A Review

(2021) Tao Li et al.   MEDICAL IMAGE ANALYSIS

A deep learning framework for the detection of Plus disease in retinal fundus images of preterm infants

(2021) Sivakumar Ramachandran et al.   Biocybernetics and Biomedical Engineering

Microaneurysm detection in fundus images based on a novel end-to-end convolutional neural network

(2021) Yinhan Liao et al.   Biocybernetics and Biomedical Engineering

A robust real-time deep learning based automatic polyp detection system

(2021) Ishak Pacal et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning for diabetic retinopathy detection and classification based on fundus images: A review

(2021) Nikos Tsiknakis et al.   COMPUTERS IN BIOLOGY AND MEDICINE

SAM-GAN: Self-Attention supporting Multi-stage Generative Adversarial Networks for text-to-image synthesis

(2021) Dunlu Peng et al.   NEURAL NETWORKS

Observation of the characteristics of the natural course of Bietti crystalline dystrophy by fundus fluorescein angiography

(2021) Shengjuan Zhang et al.   BMC Ophthalmology

Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks

(2021) Ling-Ping Cen et al.   Nature Communications

MetaMed: Few-shot medical image classification using gradient-based meta-learning

(2021) Rishav Singh et al.   PATTERN RECOGNITION

Insights into Systemic Disease through Retinal Imaging-Based Oculomics

(2020) Siegfried K. Wagner et al.   Translational Vision Science & Technology

Automatic detection of rare pathologies in fundus photographs using few-shot learning

(2020) Gwenolé Quellec et al.   MEDICAL IMAGE ANALYSIS

Modified U-Net architecture for semantic segmentation of diabetic retinopathy images

(2020) Nitigya Sambyal et al.   Biocybernetics and Biomedical Engineering

Understanding artificial intelligence based radiology studies: What is overfitting?

(2020) Simukayi Mutasa et al.   CLINICAL IMAGING

An algorithm to identify the aetiology of crystalline retinopathy

(2019) Kelly M Pereira et al.   Clinical and Experimental Optometry

Robust intensity variation and inverse surface adaptive thresholding techniques for detection of optic disc and exudates in retinal fundus images

(2019) S. Karkuzhali et al.   Biocybernetics and Biomedical Engineering

Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography

(2019) Joseph Harms et al.   MEDICAL PHYSICS

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

(2017) Philippe M. Burlina et al.   JAMA Ophthalmology

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Crystalline retinopathy in primary hyperoxaluria

(2011) Omar S. Punjabi et al.   JOURNAL OF AAPOS

Visualization of Retinal Emboli With High-Resolution Optical Coherence Tomography

(2009) Stephen F. Oster   ARCHIVES OF OPHTHALMOLOGY

Talc Retinopathy

(2008) Vinay A. Shah et al.   OPHTHALMOLOGY