Super-resolution reconstruction produces one or a set of high-resolution images from a set
of low-resolution images. In the last two decades, a variety of super-resolution methods have …

Super‐Resolution reconstruction produces one or a set of high‐resolution images from a
sequence of low‐resolution frames. This article reviews a variety of Super‐Resolution …

Age-related macular degeneration is the leading cause of irreversible visual dysfunction in
individuals over 65 in Western Society. Patients with AMD are classified as having early …

In this paper, we make contact with the field of nonparametric statistics and present a
development and generalization of tools and results for use in image processing and …

Segmentation of anatomical and pathological structures in ophthalmic images is crucial for
the diagnosis and study of ocular diseases. However, manual segmentation is often a time …

We present a novel framework combining convolutional neural networks (CNN) and graph
search methods (termed as CNN-GS) for the automatic segmentation of nine layer …

In the last two decades, two related categories of problems have been studied
independently in image restoration literature: super-resolution and demosaicing. A closer …

We present a novel fully automated algorithm for the detection of retinal diseases via optical
coherence tomography (OCT) imaging. Our algorithm utilizes multiscale histograms of …

Objective To define quantitative indicators for the presence of intermediate age-related
macular degeneration (AMD) via spectral-domain optical coherence tomography (SD-OCT) …

We present a fully automatic algorithm to identify fluid-filled regions and seven retinal layers
on spectral domain optical coherence tomography images of eyes with diabetic macular …