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Thomas J. MacGillivray
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2020 – today
- 2024
- [i12]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:
Domain-specific augmentations with resolution agnostic self-attention mechanism improves choroid segmentation in optical coherence tomography images. CoRR abs/2405.14453 (2024) - [i11]Jamie Burke, Samuel Gibbon, Justin Engelmann, Adam Threlfall, Ylenia Giarratano, Charlene Hamid, Stuart King, Ian J. C. MacCormick, Thomas J. MacGillivray:
SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images. CoRR abs/2406.16466 (2024) - [i10]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:
OCTolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO) data. CoRR abs/2407.14128 (2024) - 2023
- [c19]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:
Associations Between Retinal Microvasculature Changes and Gray Matter Volume in a Mid-Life Cohort at Risk of Developing Alzheimer's Disease. OMIA@MICCAI 2023: 1-10 - [c18]Fabian S. L. Yii, Thomas J. MacGillivray, Miguel O. Bernabeu:
Data Efficiency of Segment Anything Model for Optic Disc and Cup Segmentation. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 336-346 - [i9]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:
Efficient and fully-automatic retinal choroid segmentation in OCT through DL-based distillation of a hand-crafted pipeline. CoRR abs/2307.00904 (2023) - [i8]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:
A method for quantifying sectoral optic disc pallor in fundus photographs and its association with peripapillary RNFL thickness. CoRR abs/2311.07213 (2023) - [i7]Adam Threlfall, Samuel Gibbon, James Cameron, Tom J. MacGillivray:
A publicly available vessel segmentation algorithm for SLO images. CoRR abs/2311.17525 (2023) - [i6]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, Stuart King, Tom J. MacGillivray, Miguel O. Bernabeu, Ian J. C. MacCormick:
Choroidalyzer: An open-source, end-to-end pipeline for choroidal analysis in optical coherence tomography. CoRR abs/2312.02956 (2023) - 2022
- [j6]Alexander S. F. Doney, Aditya Nar, Yu Huang, Emanuele Trucco
Retinal vascular measures from diabetes retinal screening photographs and risk of incident dementia in type 2 diabetes: A GoDARTS study. Frontiers Digit. Health 4 (2022) - [c17]Darwon Rashid, Ylenia Giarratano, Charlene Hamid, Thomas J. MacGillivray
Analysing Optical Coherence Tomography Angiography of Mid-Life Persons at Risk of Developing Alzheimer's Disease Later in Life. OMIA@MICCAI 2022: 12-21 - [c16]Fabian S. L. Yii, Raman Dutt, Thomas J. MacGillivray
Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter. OMIA@MICCAI 2022: 73-83 - [e4]Bhavna Josephine Antony
Ophthalmic Medical Image Analysis - 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13576, Springer 2022, ISBN 978-3-031-16524-5 [contents] - 2021
- [j5]Muthu Rama Krishnan Mookiah
On the quantitative effects of compression of retinal fundus images on morphometric vascular measurements in VAMPIRE. Comput. Methods Programs Biomed. 202: 105969 (2021) - [j4]Chengjia Wang
DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis. Inf. Fusion 67: 147-160 (2021) - [j3]Muthu Rama Krishnan Mookiah
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification. Medical Image Anal. 68: 101905 (2021) - [c15]Darwon Rashid, Sophie Cai, Ylenia Giarratano, Calum D. Gray
Reproducibility of Retinal Vascular Phenotypes Obtained with Optical Coherence Tomography Angiography: Importance of Vessel Segmentation. MIUA 2021: 238-249 - [e3]Huazhu Fu
Ophthalmic Medical Image Analysis - 8th International Workshop, OMIA 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12970, Springer 2021, ISBN 978-3-030-86999-1 [contents] - 2020
- [c14]Ylenia Giarratano, Alisa Pavel
A Framework for the Discovery of Retinal Biomarkers in Optical Coherence Tomography Angiography (OCTA). OMIA@MICCAI 2020: 155-164 - [c13]Lucia Ballerini
Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population. MIUA 2020: 400-409 - [e2]Huazhu Fu
Ophthalmic Medical Image Analysis - 7th International Workshop, OMIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12069, Springer 2020, ISBN 978-3-030-63418-6 [contents]
2010 – 2019
- 2019
- [j2]Devanjali Relan
Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels. Multim. Tools Appl. 78(10): 12783-12803 (2019) - [c12]Chengjia Wang, Giorgos Papanastasiou
TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis. MLMIR@MICCAI 2019: 245-254 - [e1]Huazhu Fu, Mona Kathryn Garvin, Tom J. MacGillivray, Yanwu Xu, Yalin Zheng:
Ophthalmic Medical Image Analysis - 6th International Workshop, OMIA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, Proceedings. Lecture Notes in Computer Science 11855, Springer 2019, ISBN 978-3-030-32955-6 [contents] - [i5]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR abs/1902.07880 (2019) - [i4]Ylenia Giarratano, Eleonora Bianchi, Calum D. Gray, Andrew Morris, Tom J. MacGillivray, Baljean Dhillon, Miguel O. Bernabeu:
Automated and Network Structure Preserving Segmentation of Optical Coherence Tomography Angiograms. CoRR abs/1912.09978 (2019) - 2018
- [j1]Enrico Pellegrini
A Graph Cut Approach to Artery/Vein Classification in Ultra-Widefield Scanning Laser Ophthalmoscopy. IEEE Trans. Medical Imaging 37(2): 516-526 (2018) - [c11]Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou
Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks. SASHIMI@MICCAI 2018: 52-60 - [c10]Chengjia Wang, Tom J. MacGillivray
A Two-Stage U-Net Model for 3D Multi-class Segmentation on Full-Resolution Cardiac Data. STACOM@MICCAI 2018: 191-199 - [c9]Muthu Rama Krishnan Mookiah
Towards Standardization of Retinal Vascular Measurements: On the Effect of Image Centering. COMPAY/OMIA@MICCAI 2018: 294-302 - [i3]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, Emanuele Trucco, Joanna M. Wardlaw:
Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis. CoRR abs/1804.01961 (2018) - [i2]Chengjia Wang, Tom J. MacGillivray, Gillian Macnaught, Guang Yang, David E. Newby:
A two-stage 3D Unet framework for multi-class segmentation on full resolution image. CoRR abs/1804.04341 (2018) - [i1]Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby:
Unsupervised learning for cross-domain medical image synthesis using deformation invariant cycle consistency networks. CoRR abs/1808.03944 (2018) - 2017
- [c8]Ahmed E. Fetit, Siyamalan Manivannan
Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population. FIFI/OMIA@MICCAI 2017: 150-158 - 2015
- [c7]Chengjia Wang, Keith A. Goatman
Automatic multi-parametric MR registration method using mutual information based on adaptive asymmetric k-means binning. ISBI 2015: 1089-1092 - 2014
- [c6]Devanjali Relan
Automatic retinal vessel classification using a Least Square-Support Vector Machine in VAMPIRE. EMBC 2014: 142-145 - 2013
- [c5]Gavin Robertson
Investigating post-processing of scanning laser ophthalmoscope images for unsupervised retinal blood vessel detection. CBMS 2013: 441-444 - [c4]Devanjali Relan
Retinal vessel classification: Sorting arteries and veins. EMBC 2013: 7396-7399 - 2011
- [c3]Adria Perez-Rovira, Tom J. MacGillivray
VAMPIRE: Vessel assessment and measurement platform for images of the REtina. EMBC 2011: 3391-3394
2000 – 2009
- 2006
- [c2]Thomas J. MacGillivray
A reliability study of fractal analysis of the skeletonised vascular network using the "box-counting" technique. EMBC 2006: 4445-4448 - [c1]Hind Azegrouz, Emanuele Trucco
Thickness dependent tortuosity estimation for retinal blood vessels. EMBC 2006: 4675-4678
Coauthor Index
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