Thickness dependent tortuosity estimation for retinal blood vessels. - Hind Azegrouz; Emanuele Trucco; Baljean Dhillon; Thomas J. MacGillivray; Ian J. C. MacCormick (EMBC, 2006)

Vessel discoloration detection in malarial retinopathy. - Carla Agurto; Sheila C. Nemeth; E. Simon Barriga; Peter Soliz; Ian J. C. MacCormick; Terrie Taylor; Simon Harding; Susan Lewallen; Vinayak Joshi (Computer-Aided Diagnosis, 2016)

Automated detection of retinal whitening in malarial retinopathy. - Vinayak Joshi; Carla Agurto; E. Simon Barriga; Sheila C. Nemeth; Peter Soliz; Ian J. C. MacCormick; Terrie Taylor; Susan Lewallen; Simon Harding (Computer-Aided Diagnosis, 2016)

Automated Detection of Malarial Retinopathy in Retinal Fundus Images obtained in Clinical Settings. - Vinayak Joshi; Jeffrey Wigdahl; Sheila C. Nemeth; Chatonda Manda; Susan Lewallen; Terrie Taylor; Ian J. C. MacCormick; Simon Harding; Peter Soliz (EMBC, 2018)

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; Emma Pead; Amos J. Storkey; Miguel O. Bernabeu (CoRR, 2022)

Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation. - Yanda Meng; Hongrun Zhang; Yitian Zhao; Xiaoyun Yang; Yihong Qiao; Ian J. C. MacCormick; Xiaowei Huang 001; Yalin Zheng (IEEE Trans. Medical Imaging, 2022)

Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning. - Justin Engelmann; Alice D. McTrusty; Ian J. C. MacCormick; Emma Pead; Amos J. Storkey; Miguel O. Bernabeu (Nat. Mac. Intell., 2022)

Efficient and fully-automatic retinal choroid segmentation in OCT through DL-based distillation of a hand-crafted pipeline. - Jamie Burke; Justin Engelmann; Charlene Hamid; Megan Reid-Schachter; Tom Pearson; Dan Pugh; Neeraj Dhaun; Stuart King; Tom J. MacGillivray; Miguel O. Bernabeu; Amos J. Storkey; Ian J. C. MacCormick (CoRR, 2023)

A method for quantifying sectoral optic disc pallor in fundus photographs and its association with peripapillary RNFL thickness. - Samuel Gibbon; Graciela Muniz-Terrera; Fabian S. L. Yii; Charlene Hamid; Simon Cox; Ian J. C. MacCormick; Andrew J. Tatham; Craig Ritchie; Emanuele Trucco; Baljean Dhillon; Thomas J. MacGillivray (CoRR, 2023)

Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography. - Justin Engelmann; Jamie Burke; Charlene Hamid; Megan Reid-Schachter; Dan Pugh; Neeraj Dhaun; Diana Moukaddem; Lyle Gray; Niall C. Strang; Paul McGraw; Amos J. Storkey; Paul J. Steptoe; et al. (CoRR, 2023)

Domain-specific augmentations with resolution agnostic self-attention mechanism improves choroid segmentation in optical coherence tomography images. - Jamie Burke; Justin Engelmann; Charlene Hamid; Diana Moukaddem; Dan Pugh; Neeraj Dhaun; Amos J. Storkey; Niall C. Strang; Stuart King; Tom J. MacGillivray; Miguel O. Bernabeu; Ian J. C. MacCormick (CoRR, 2024)

SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images. - Jamie Burke; Samuel Gibbon; Justin Engelmann; Adam Threlfall; Ylenia Giarratano; Charlene Hamid; Stuart King; Ian J. C. MacCormick; Thomas J. MacGillivray (CoRR, 2024)

OCTolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO) data. - Jamie Burke; Justin Engelmann; Samuel Gibbon; Charlene Hamid; Diana Moukaddem; Dan Pugh; Tariq E. Farrah; Niall C. Strang; Neeraj Dhaun; Thomas J. MacGillivray; Stuart King; Ian J. C. MacCormick (CoRR, 2024)