Ophthalmology Development and Clinical Validation of Semi-Supervised Generative Adversarial Networks for Detection of Retinal Disorders in Optical Coherence Tomography Images Using Small Dataset. March 28, 2022
Ophthalmology Detection of shallow anterior chamber depth from two-dimensional anterior segment photographs using deep learning. September 23, 2021
Ophthalmology Semi-supervised generative adversarial networks for closed-angle detection on anterior segment optical coherence tomography images: an empirical study with a small training dataset. August 23, 2021
Ophthalmology Assessment of Generative Adversarial Networks for Synthetic Anterior Segment Optical Coherence Tomography Images in Closed-Angle Detection. May 18, 2021
Medical Imaging | Neurology | Ophthalmology ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model. December 7, 2020
Ophthalmology High signal-to-noise ratio reconstruction of low bit-depth optical coherence tomography using deep learning. November 16, 2020
Neurology | Ophthalmology | Radiology CS-Net: Deep learning segmentation of curvilinear structures in medical imaging. November 9, 2020
Ophthalmology Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images. October 6, 2020
Ophthalmology Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning. September 15, 2020
Ophthalmology Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders. August 24, 2020
Ophthalmology Speckle reduction of OCT via super resolution reconstruction and its application on retinal layer segmentation. June 28, 2020