Journal Paper
EffUnet-SpaGen: An Efficient and Spatial Generative Approach to Glaucoma Detection
Krishna Adithya V, Williams BM, Czanner S, Kavitha S, Friedman DS, Willoughby CE, Venkatesh R, Czanner G. Journal of Imaging. 2021 Jun;7(6):92.
Abstract
A deep convolutional neural network-based approach for superficial dorsal hand vein pattern matching
Gu X, Williams B, Black S. In EAB-RPC 2020.
Funding
H2020: Foundations of Trustworthy AI – Integrating Reasoning, Learning and Optimization (TAILOR)
European Commission
Award Amount: £132,948.78
Project Start Date: 01/09/2020
Project End Date: 31/08/2023
Invited Talk
Webinar Series: Introduction to AI for Ophthalmology
A gentle introduction for AI for ophthalmic clinicians
Journal Paper
An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study
Williams BM, Borroni D, Liu R, Zhao Y, Zhang J, Lim J, Ma B, Romano V, Qi H, Ferdousi M, Petropoulos IN. Diabetologia. 2020;63(2):419-30.
Conference Paper
Joint destriping and segmentation of OCTA images
Wu X, Gao D, Williams BM, Stylianides A, Zheng Y, Jin Z. In Medical Image Understanding and Analysis: 23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings 23 2020 (pp. 423-435). Springer International Publishing.
People
Dr Bryan M. Williams
Dr Bryan M. Williams, BSc MSc PhD AFHEA Lecturer in Biometrics and Human IdentificationLancaster University Dr Bryan M. Williams is a Lecturer in Biometrics and Human Identification with the School of Computing and Communications at Lancaster University and honorary Lecturer in Ophthalmic Imaging with the University of Liverpool; he also Read more…
Conference Paper
Improving fetal head contour detection by object localisation with deep learning
Al-Bander B, Alzahrani T, Alzahrani S, Williams BM, Zheng Y. In MIUA 2019 (pp. 142-150). Springer, Cham.
Conference Paper
Learning active contour models for medical image segmentation
Chen X, Williams BM, Vallabhaneni SR, Czanner G, Williams R, Zheng Y. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2019 (pp. 11632-11640).
