55 citations · 56 across the 4 of their papers we have counts for
4 papers
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…
Evaluation of an automated choroid segmentation algorithm in a longitudinal kidney donor and recipient cohort
Jamie Burke, Dan Pugh, Tariq Farrah +7
Purpose: To evaluate the performance of an automated choroid segmentation algorithm in optical coherence tomography (OCT) data using a longitudinal kidney donor and recipient cohor…
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…
Network analysis reveals distinct clinical syndromes underlying acute mountain sickness
David P Hall, Ian JC MacCormick, Alex T Phythian-Adams +10
Acute mountain sickness (AMS) is a common problem among visitors at high altitude, and may progress to life-threatening pulmonary and cerebral oedema in a minority of cases. Intern…