Significance: Smartphones come with an enormous array of functionality and are being
more widely utilized with specialized attachments in a range of healthcare applications. A …

Deep learning has recently gained high interest in ophthalmology due to its ability to detect
clinically significant features for diagnosis and prognosis. Despite these significant …

Light-field microscopy represents a promising solution for microscopic volumetric imaging,
thanks to its capability to encode information on multiple planes in a single acquisition. This …

Vision impairment continues to be a major global problem, as the WHO estimates 2.2 billion
people struggling with vision loss or blindness. One billion of these cases, however, can be …

Color fundus image quality greatly influence the doctors' diagnostic accuracy. However, the
problems of imbalance data and small sample are the key issues of the color fundus images …

Light-field cameras play a vital role for rich 3D information retrieval in narrow range depth
sensing applications. The key obstacle in composing light-fields from exposures taken by a …

Significance: Light-field fundus photography has the potential to be a new milestone in
ophthalmology. Up-to-date publications show only unsatisfactory image quality, preventing …

Light field cameras show great potential for use in retinal imaging. The ability to refocus
images and remove glare post-acquisition provides great benefits over current fundus …

Background/aims To investigate the comprehensive prediction ability for cognitive
impairment in a general elder population using the combination of the multimodal …

Significance The eye can be used as a potential monitoring window for screening,
diagnosis, and monitoring of neurological diseases. Alzheimer's disease (AD) and vascular …