11 citations · 18 across the 3 of their papers we have counts for
5 papers
SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images
Jamie Burke, Samuel Gibbon, Justin Engelmann +6
Purpose: The purpose of this study was to introduce SLOctolyzer: an open-source analysis toolkit for en face retinal vessels in infrared reflectance scanning laser ophthalmoscopy (…
Euler Characteristic Surfaces
Gabriele Beltramo, Rayna Andreeva, Ylenia Giarratano +3
We study the use of the Euler characteristic for multiparameter topological data analysis. Euler characteristic is a classical, well-understood topological invariant that has appea…
Automated Segmentation of Optical Coherence Tomography Angiography Images: Benchmark Data and Clinically Relevant Metrics
Ylenia Giarratano, Eleonora Bianchi, Calum Gray +4
Optical coherence tomography angiography (OCTA) is a novel non-invasive imaging modality for the visualisation of microvasculature in vivo that has encountered broad adoption in re…
Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer
Giuseppe Jurman, Valerio Maggio, Diego Fioravanti +7
Convolutional Neural Networks (CNNs) are a popular deep learning architecture widely applied in different domains, in particular in classifying over images, for which the concept o…
Phylogenetic Convolutional Neural Networks in Metagenomics
Diego Fioravanti, Ylenia Giarratano, Valerio Maggio +4
Background: Convolutional Neural Networks can be effectively used only when data are endowed with an intrinsic concept of neighbourhood in the input space, as is the case of pixels…