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

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

A Refined Equilibrium Generative Adversarial Network for Retinal Vessel Segmentation

(2021) Yukun Zhou et al.   NEUROCOMPUTING

Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks

(2021) Jason Kugelman et al.   NEURAL COMPUTING & APPLICATIONS

Generative Adversarial Networks: A Primer for Radiologists

(2021) Jelmer M. Wolterink et al.   RADIOGRAPHICS

Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type

(2021) Ji Eun Park et al.   Scientific Reports

Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection

(2021) Ce Zheng et al.   Translational Vision Science & Technology

Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images

(2021) Tae Keun Yoo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

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

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

Generative adversarial networks in ophthalmology: what are these and how can they be used?

(2021) Zhaoran Wang et al.   CURRENT OPINION IN OPHTHALMOLOGY

Deep learning for chest X-ray analysis: A survey

(2021) Erdi Çallı et al.   MEDICAL IMAGE ANALYSIS

Statistical modeling of retinal optical coherence tomography using the Weibull mixture model

(2021) Sahar Jorjandi et al.   Biomedical Optics Express

Realistic high-resolution lateral cephalometric radiography generated by progressive growing generative adversarial network and quality evaluations

(2021) Mingyu Kim et al.   Scientific Reports

Generative Adversarial Network Based Automatic Segmentation of Corneal Subbasal Nerves on In Vivo Confocal Microscopy Images

(2021) Erdost Yildiz et al.   Translational Vision Science & Technology

Pix2pix Conditional Generative Adversarial Networks for Scheimpflug Camera Color-Coded Corneal Tomography Image Generation

(2021) Hazem Abdelmotaal et al.   Translational Vision Science & Technology

Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling

(2021) Lie Ju et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Joint Optimization of CycleGAN and CNN Classifier for Detection and Localization of Retinal Pathologies on Color Fundus Photographs

(2021) Ziyue Zhang et al.   IEEE Journal of Biomedical and Health Informatics

Creating Artificial Images for Radiology Applications Using Generative Adversarial Networks (GANs) – A Systematic Review

(2020) Vera Sorin et al.   ACADEMIC RADIOLOGY

A generative adversarial network approach to predicting postoperative appearance after orbital decompression surgery for thyroid eye disease

(2020) Tae Keun Yoo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks

(2020) Atsushi Teramoto et al.   PLoS One

Prediction of OCT images of short-term response to anti-VEGF treatment for neovascular age-related macular degeneration using generative adversarial network

(2020) Yutong Liu et al.   BRITISH JOURNAL OF OPHTHALMOLOGY

CycleGAN-based deep learning technique for artifact reduction in fundus photography

(2020) Tae Keun Yoo et al.   GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY

High-quality retinal vessel segmentation using generative adversarial network with a large receptive field

(2020) Hanli Zhao et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation

(2020) Tiejun Yang et al.   JOURNAL OF DIGITAL IMAGING

Deep learning based 3D analysis of the peripapillary optic nerve head

(2020) Morgan Heisler et al.   Biomedical Optics Express

Cardiac point-of-care to cart-based ultrasound translation using constrained CycleGAN

(2020) Mohammad H. Jafari et al.   International Journal of Computer Assisted Radiology and Surgery

WGAN domain adaptation for the joint optic disc-and-cup segmentation in fundus images

(2020) Shreya Kadambi et al.   International Journal of Computer Assisted Radiology and Surgery

DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images

(2020) Haris Cheong et al.   Translational Vision Science & Technology

Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders

(2020) Ce Zheng et al.   Translational Vision Science & Technology

Unsupervised Super-Resolution of OCT Images Using Generative Adversarial Network for Improved Age-Related Macular Degeneration Diagnosis

(2020) Vineeta Das et al.   IEEE SENSORS JOURNAL

Skin lesion segmentation via generative adversarial networks with dual discriminators

(2020) Baiying Lei et al.   MEDICAL IMAGE ANALYSIS

Post-treatment prediction of optical coherence tomography using a conditional generative adversarial network in age-related macular degeneration

(2020) Hyungwoo Lee et al.   RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES

Latent Space Manipulation for High-Resolution Medical Image Synthesis via the StyleGAN

(2020) Lukas Fetty et al.   Zeitschrift fur Medizinische Physik

Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN)

(2020) Jinsung Yoon et al.   IEEE Journal of Biomedical and Health Informatics

Fully Automatic Arteriovenous Segmentation in Retinal Images via Topology-Aware Generative Adversarial Networks

(2020) Jingwen Yang et al.   Interdisciplinary Sciences-Computational Life Sciences

Generative adversarial networks to predict treatment response for neovascular age-related macular degeneration: interesting, but is it useful?

(2020) T Y Alvin Liu et al.   BRITISH JOURNAL OF OPHTHALMOLOGY

Toward automated severe pharyngitis detection with smartphone camera using deep learning networks

(2020) Tae Keun Yoo et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Retinal optical coherence tomography image classification with label smoothing generative adversarial network

(2020) Xingxin He et al.   NEUROCOMPUTING

Deep-learning-based enhanced optic-disc photography

(2020) Ahnul Ha et al.   PLoS One

CycleGAN With an Improved Loss Function for Cell Detection Using Partly Labeled Images

(2020) Jin He et al.   IEEE Journal of Biomedical and Health Informatics

Outcomes of Adversarial Attacks on Deep Learning Models for Ophthalmology Imaging Domains

(2020) Tae Keun Yoo et al.   JAMA Ophthalmology

Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks

(2020) Tae Keun Yoo et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Optic disc and optic cup segmentation based on anatomy guided cascade network

(2020) Xuesheng Bian et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images

(2020) Hai Xie et al.   NEURAL NETWORKS

A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs

(2020) Alireza Tavakkoli et al.   Scientific Reports

Using super-resolution generative adversarial network models and transfer learning to obtain high resolution digital periapical radiographs

(2020) Maira B.H. Moran et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Data augmentation for skin lesion using self-attention based progressive generative adversarial network

(2020) Ibrahim Saad Aly Abdelhalim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks

(2020) Georgios Lazaridis et al.   MEDICAL IMAGE ANALYSIS

Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision

(2020) Shuqiang Wang et al.   IEEE Transactions on Automation Science and Engineering

DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images

(2020) Yi Zhou et al.   IEEE Journal of Biomedical and Health Informatics

Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration

(2019) Philippe M. Burlina et al.   JAMA Ophthalmology

Artifact correction in low-dose dental CT imaging using Wasserstein generative adversarial networks

(2019) Zhanli Hu et al.   MEDICAL PHYSICS

Retinal image synthesis from multiple-landmarks input with generative adversarial networks

(2019) Zekuan Yu et al.   Biomedical Engineering Online

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

(2019) Thomas Schlegl et al.   MEDICAL IMAGE ANALYSIS

Simultaneous denoising and super-resolution of optical coherence tomography images based on generative adversarial network

(2019) Yongqiang Huang et al.   OPTICS EXPRESS

Single image super-resolution with enhanced Laplacian pyramid network via conditional generative adversarial learning

(2019) Xiaolu Zhang et al.   NEUROCOMPUTING

Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment

(2019) Andres Diaz-Pinto et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Accurate tissue interface segmentation via adversarial pre-segmentation of anterior segment OCT images

(2019) Jiahong Ouyang et al.   Biomedical Optics Express

Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs

(2019) Hanruo Liu et al.   JAMA Ophthalmology

Injecting and removing suspicious features in breast imaging with CycleGAN: A pilot study of automated adversarial attacks using neural networks on small images

(2019) Anton S. Becker et al.   EUROPEAN JOURNAL OF RADIOLOGY

Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation

(2019) Shujun Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

CPGAN: Conditional Patch-based Generative Adversarial Network for Retinal Vessel Segmentation

(2019) Sadaqat Ali et al.   IET Image Processing

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

(2019) Veit Sandfort et al.   Scientific Reports

DN-GAN: Denoising generative adversarial networks for speckle noise reduction in optical coherence tomography images

(2019) Zailiang Chen et al.   Biomedical Signal Processing and Control

Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging

(2019) Menglin Wu et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

MedGAN: Medical image translation using GANs

(2019) Karim Armanious et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Generative adversarial network in medical imaging: A review

(2019) Xin Yi et al.   MEDICAL IMAGE ANALYSIS

Training data independent image registration using generative adversarial networks and domain adaptation

(2019) Dwarikanath Mahapatra et al.   PATTERN RECOGNITION

Generative Adversarial Networks: An Overview

(2018) Antonia Creswell et al.   IEEE SIGNAL PROCESSING MAGAZINE

End-to-End Adversarial Retinal Image Synthesis

(2018) Pedro Costa et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Synthesizing retinal and neuronal images with generative adversarial nets

(2018) He Zhao et al.   MEDICAL IMAGE ANALYSIS

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification

(2018) Jayme Garcia Arnal Barbedo   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification

(2018) Maayan Frid-Adar et al.   NEUROCOMPUTING

Image super-resolution using progressive generative adversarial networks for medical image analysis

(2018) Dwarikanath Mahapatra et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks

(2018) Jaemin Son et al.   JOURNAL OF DIGITAL IMAGING

Generative Adversarial Network for Medical Images (MI-GAN)

(2018) Talha Iqbal et al.   JOURNAL OF MEDICAL SYSTEMS

Deep learning enables cross-modality super-resolution in fluorescence microscopy

(2018) Hongda Wang et al.   NATURE METHODS

Retinal optical coherence tomography image enhancement via deep learning

(2018) Kerry J. Halupka et al.   Biomedical Optics Express

Association of Socioeconomics With Prevalence of Visual Impairment and Blindness

(2017) Wei Wang et al.   JAMA Ophthalmology

Statistics of Optical Coherence Tomography Data From Human Retina

(2010) Norberto Mauricio Grzywacz et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING