117 citations · 360 across the 15 of their papers we have counts for
4 papers · 1 filter
Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography
Justin Engelmann, Jamie Burke, Charlene Hamid +13
Purpose: To develop Choroidalyzer, an open-source, end-to-end pipeline for segmenting the choroid region, vessels, and fovea, and deriving choroidal thickness, area, and vascular i…
An open-source deep learning algorithm for efficient and fully-automatic analysis of the choroid in optical coherence tomography
Jamie Burke, Justin Engelmann, Charlene Hamid +9
Purpose: To develop an open-source, fully-automatic deep learning algorithm, DeepGPET, for choroid region segmentation in optical coherence tomography (OCT) data. Methods: We used…
Detection of multiple retinal diseases in ultra-widefield fundus images using deep learning: data-driven identification of relevant regions
Justin Engelmann, Alice D. McTrusty, Ian J. C. MacCormick +3
Ultra-widefield (UWF) imaging is a promising modality that captures a larger retinal field of view compared to traditional fundus photography. Previous studies showed that deep lea…
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…