All Outputs (5)

Segmentation of macular edema datasets with small residual 3D U-Net architectures (2020)
Presentation / Conference Contribution

This paper investigates the application of deep convolutional neural networks with prohibitively small datasets to the problem of macular edema segmentation. In particular, we investigate several different heavily regularized architectures. We find t... Read More about Segmentation of macular edema datasets with small residual 3D U-Net architectures.

The relationship between curvilinear structure enhancement and ridge detection approaches (2020)
Journal Article

Curvilinear structure detection and quantification is a large research area with many imaging applications in fields such as biology, medicine, and engineering. Curvilinear enhancement is often used as a pre-processing stage for ridge detection, but... Read More about The relationship between curvilinear structure enhancement and ridge detection approaches.

Three-dimensional data capture and analysis of intact eye lenses evidences emmetropia-associated changes and strain-dependent differences in epithelial cell organization (2020)
Journal Article

Organ and tissue development are highly coordinated processes; lens growth and functional integration into the eye (emmetropia) is a robust example. An epithelial monolayer covers the anterior hemisphere of the lens, and its organization is the key t... Read More about Three-dimensional data capture and analysis of intact eye lenses evidences emmetropia-associated changes and strain-dependent differences in epithelial cell organization.

Macular hole morphology and measurement using an automated three dimensional image segmentation algorithm (2020)
Journal Article

Objective: Full-thickness macular holes (MH) are classified principally by size, which is one of the strongest predictors of anatomical and visual success. Using a three-dimensional (3D) automated image processing algorithm, we analysed optical coher... Read More about Macular hole morphology and measurement using an automated three dimensional image segmentation algorithm.

Convolutional networks for appearance based recommendation and visualisation of mascara products (2020)
Journal Article

In this work, we explore the problems of recommending and visualising makeup products based on images of customers. Focusing on mascara, we propose a two-stage approach that first recommends products to a new customer based on the preferences of othe... Read More about Convolutional networks for appearance based recommendation and visualisation of mascara products.