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

A reliability study of fractal analysis of the skeletonised vascular network using the "box-counting" technique. - Thomas J. MacGillivray; Niall Patton (EMBC, 2006)

VAMPIRE: Vessel assessment and measurement platform for images of the REtina. - Adria Perez-Rovira; Tom J. MacGillivray; Emanuele Trucco; K. S. Chin; K. Zutis; Carmen Alina Lupascu; Domenico Tegolo; Andrea Giachetti 001; Peter J. Wilson; Alexander S. Doney; Baljean Dhillon (EMBC, 2011)

Investigating post-processing of scanning laser ophthalmoscope images for unsupervised retinal blood vessel detection. - Gavin Robertson; Enrico Pellegrini; Calum D. Gray; Emanuele Trucco; Tom J. MacGillivray (CBMS, 2013)

Retinal vessel classification: Sorting arteries and veins. - Devanjali Relan; Tom J. MacGillivray; Lucia Ballerini; Emanuele Trucco (EMBC, 2013)

Automatic retinal vessel classification using a Least Square-Support Vector Machine in VAMPIRE. - Devanjali Relan; Tom J. MacGillivray; Lucia Ballerini; Emanuele Trucco (EMBC, 2014)

Automatic multi-parametric MR registration method using mutual information based on adaptive asymmetric k-means binning. - Chengjia Wang; Keith A. Goatman; Tom J. MacGillivray; Erin Beveridge; Yolanda G. Sourgia Koutraki; James P. Boardman; Colin Stirrat; Sarah A. Sparrow; Emma Moore; Rozi Paraky; Shirjel Alam; Marc R. Dweck; et al. (ISBI, 2015)

Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population. - Ahmed E. Fetit; Siyamalan Manivannan; Sarah McGrory; Lucia Ballerini; Alexander S. Doney; Thomas J. MacGillivray; Ian J. Deary; Joanna M. Wardlaw; Fergus Doubal; Gareth J. McKay; Stephen J. McKenna; Emanuele Trucco (FIFI/OMIA@MICCAI, 2017)

Towards Standardization of Retinal Vascular Measurements: On the Effect of Image Centering. - Muthu Rama Krishnan Mookiah; Sarah McGrory; Stephen Hogg; Jackie Price; Rachel Forster; Thomas J. MacGillivray; Emanuele Trucco (COMPAY/OMIA@MICCAI, 2018)

A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data. - Chengjia Wang; Tom J. MacGillivray; Gillian Macnaught; Guang Yang 006; David E. Newby (STACOM@MICCAI, 2018)

Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks. - Chengjia Wang; Gillian Macnaught; Giorgos Papanastasiou; Tom J. MacGillivray; David E. Newby (SASHIMI@MICCAI, 2018)

Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis. - Enrico Pellegrini; Lucia Ballerini; Maria del C. Valdés Hernández; Francesca M. Chappell; Víctor González-Castro; Devasuda Anblagan; Samuel Danso; Susana Muñoz Maniega; Dominic Job; Cyril R. Pernet; Grant Mair; Tom J. MacGillivray; et al. (CoRR, 2018)

A two-stage 3D Unet framework for multi-class segmentation on full resolution image. - Chengjia Wang; Tom J. MacGillivray; Gillian Macnaught; Guang Yang 006; David E. Newby (CoRR, 2018)

A Graph Cut Approach to Artery/Vein Classification in Ultra-Widefield Scanning Laser Ophthalmoscopy. - Enrico Pellegrini; Gavin Robertson; Tom J. MacGillivray; Jano I. van Hemert; Graeme Houston; Emanuele Trucco (IEEE Trans. Medical Imaging, 2018)

TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. - Chengjia Wang; Giorgos Papanastasiou; Sotirios A. Tsaftaris; Guang Yang 006; Calum D. Gray; David E. Newby; Gillian Macnaught; Tom J. MacGillivray (MLMIR@MICCAI, 2019)

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. - Xiahai Zhuang; Lei Li 020; Christian Payer; Darko Stern; Martin Urschler; Mattias P. Heinrich; Julien Oster; Chunliang Wang; Örjan Smedby; Cheng Bian; Xin Yang 009; Pheng-Ann Heng; et al. (CoRR, 2019)

Automated and Network Structure Preserving Segmentation of Optical Coherence Tomography Angiograms. - Ylenia Giarratano; Eleonora Bianchi; Calum D. Gray; Andrew Morris; Tom J. MacGillivray; Baljean Dhillon; Miguel O. Bernabeu (CoRR, 2019)

Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels. - Devanjali Relan; Lucia Ballerini; Emanuele Trucco; Tom J. MacGillivray (Multim. Tools Appl., 2019)

A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA). - Ylenia Giarratano; Alisa Pavel; Jie Lian; Rayna Andreeva; Alessandro Fontanella; Rik Sarkar; Laura J. Reid; Shareen Forbes; Dan Pugh; Tariq E. Farrah; Neeraj Dhaun; Baljean Dhillon; et al. (OMIA@MICCAI, 2020)

Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. - Lucia Ballerini; Ahmed E. Fetit; Stephan Wunderlich; Ruggiero Lovreglio; Sarah McGrory; Maria del Carmen Valdés Hernández; Tom J. MacGillivray; Fergus Doubal; Ian J. Deary; Joanna M. Wardlaw; Emanuele Trucco (MIUA, 2020)

Reproducibility of Retinal Vascular Phenotypes Obtained with Optical Coherence Tomography Angiography: Importance of Vessel Segmentation. - Darwon Rashid; Sophie Cai; Ylenia Giarratano; Calum D. Gray; Charlene Hamid; Dilraj S. Grewal; Tom J. MacGillivray; Sharon Fekrat; Cason B. Robbins; Srinath Soundararajan; Justin P. Ma; Miguel O. Bernabeu (MIUA, 2021)

On the quantitative effects of compression of retinal fundus images on morphometric vascular measurements in VAMPIRE. - Muthu Rama Krishnan Mookiah; Stephen Hogg; Thomas J. MacGillivray; Emanuele Trucco (Comput. Methods Programs Biomed., 2021)

DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. - Chengjia Wang; Guang Yang 006; Giorgos Papanastasiou; Sotirios A. Tsaftaris; David E. Newby; Calum D. Gray; Gillian Macnaught; Tom J. MacGillivray (Inf. Fusion, 2021)

A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification. - Muthu Rama Krishnan Mookiah; Stephen Hogg; Tom J. MacGillivray; Vijayaraghavan Prathiba; Rajendra Pradeepa; Viswanathan Mohan; Ranjit Mohan Anjana; Alexander S. Doney; Colin N. A. Palmer; Emanuele Trucco (Medical Image Anal., 2021)

Analysing Optical Coherence Tomography Angiography of Mid-Life Persons at Risk of Developing Alzheimer's Disease Later in Life. - Darwon Rashid; Ylenia Giarratano; Charlene Hamid; Thomas J. MacGillivray; Graciela Terrera Muniz; Craig Ritchie; Baljean Dhillon; Miguel O. Bernabeu (OMIA@MICCAI, 2022)

Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter. - Fabian S. L. Yii; Raman Dutt; Thomas J. MacGillivray; Baljean Dhillon; Miguel O. Bernabeu; Niall C. Strang (OMIA@MICCAI, 2022)

Retinal vascular measures from diabetes retinal screening photographs and risk of incident dementia in type 2 diabetes: A GoDARTS study. - Alexander S. F. Doney; Aditya Nar; Yu Huang; Emanuele Trucco; Tom J. MacGillivray; Peter Connelly; Graham P. Leese; Gareth J. McKay (Frontiers Digit. Health, 2022)

Associations Between Retinal Microvasculature Changes and Gray Matter Volume in a Mid-Life Cohort at Risk of Developing Alzheimer's Disease. - Darwon Rashid; Ylenia Giarratano; Charlene Hamid; Thomas J. MacGillivray; Graciela Terrera Muniz; Craig Ritchie; Baljean Dhillon; Megan Reid-Schachter; Audrey Low; Maria-Eleni Dounavi; John T. O'Brien; Miguel O. Bernabeu (OMIA@MICCAI, 2023)

Data Efficiency of Segment Anything Model for Optic Disc and Cup Segmentation. - Fabian S. L. Yii; Thomas J. MacGillivray; Miguel O. Bernabeu (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

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)

A publicly available vessel segmentation algorithm for SLO images. - Adam Threlfall; Samuel Gibbon; James Cameron; Tom 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)