The proliferation of AI-based technologies in static imaging in clinical ophthalmology,
continued refinement of AI tools designed for video-based applications, and development of …

Adapting intelligent context-aware systems (CAS) to future operating rooms (OR) aims to
improve situational awareness and provide surgical decision support systems to medical …

Image generative models have advanced in many areas to produce synthetic images of high
resolution and detail. This success has enabled its use in the biomedical field, paving the …

Surgical data science (SDS) is a field that analyzes patient data before, during, and after
surgery to improve surgical outcomes and skills. However, surgical data is scarce …

In this study, we propose a novel Temporal Development Generative Adversarial Network
(TD-GAN) for the generation and analysis of videos, with a particular focus on biological and …

Deep Learning models need lot of data which is labeled in order to do further processing.
Most of the image-based datasets, however, do not have a sufficient amount of data for the …