11 citations · 17 across the 11 of their papers we have counts for
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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…
QuickQual: Lightweight, convenient retinal image quality scoring with off-the-shelf pretrained models
Justin Engelmann, Amos Storkey, Miguel O. Bernabeu
Image quality remains a key problem for both traditional and deep learning (DL)-based approaches to retinal image analysis, but identifying poor quality images can be time consumin…
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…