Research graph
References from ENHANCING THE PERFORMANCE OF DIABETIC RETINOPATHY GRADING MODELS USING SYNTHETIC IMAGES. Local targets link to admitted publications; unresolved targets remain external evidence.
Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition
10.1016/j.diabres.2019.107843 · 2019 · External reference
A lightweight CNN for diabetic retinopathy classification from fundus images
10.1016/j.bspc.2020.102115 · 2020 · External reference
A large-scale synthetic pathological dataset for deep learning-enabled segmentation of breast cancer
10.1038/s41597-023-02125-y · 2023 · External reference
Explaining neural scaling laws
10.1073/pnas.2311878121 · 2024 · External reference
Deep learning approaches for data augmentation in medical imaging: a review
10.3390/jimaging9040081 · 2023 · External reference
A systematic review of deep learning data augmentation in medical imaging: recent advances and future research directions
10.1016/j.health.2024.100340 · 2024 · External reference
Forecasting the diabetic retinopathy progression using generative adversarial networks
10.1038/s43856-025-01092-2 · 2025 · External reference
DR-DDPM: synthetic image generation for diabetic retinopathy using denoising diffusion probabilistic models for enhanced detection
10.1016/j.eswa.2026.131227 · 2026 · External reference
Realistic fundus photograph generation for improving automated disease classification
10.1136/bjo-2024-326122 · 2025 · External reference
Augmenting a prognostic deep learning system for referable diabetic retinopathy and maculopathy with synthetic retinal images
10.1038/s43856-025-01316-5 · 2025 · External reference
Indian diabetic retinopathy image dataset (IDRiD): a database for diabetic retinopathy screening research
10.3390/data3030025 · 2018 · External reference
Alias-free generative adversarial networks
2021 · External reference
Stylespace analysis: disentangled controls for stylegan image generation
2021 · External reference
A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis
10.1038/s41598-023-39278-0 · 2023 · External reference
High-resolution image synthesis with latent diffusion models
2022 · External reference
Denoising diffusion probabilistic models
2020 · External reference
U-net: convolutional networks for biomedical image segmentation
2015 · External reference
Denoising diffusion implicit models
2021 · External reference
GANs trained by a two time-scale update rule converge to a local nash equilibrium
2017 · External reference
Improved techniques for training GANs
2016 · External reference
Image quality assessment: from error visibility to structural similarity
10.1109/tip.2003.819861 · 2004 · External reference
Scorecard for synthetic medical data evaluation
10.1038/s44172-025-00450-1 · 2025 · External reference
