Dr Bryan M. Williams, BSc MSc PhD AFHEA
Lecturer in Biometrics and Human Identification
Lancaster 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 holds an honorary contract with Royal Liverpool University Hospital for research in medical imaging. He obtained a PhD in mathematics from the University of Liverpool in 2015 and worked as a research associate at Universität des Saarlandes before returning to Liverpool as a research associate to work on medical device development. His research focusses on the development of automated image enhancement, analysis and processing techniques for medical and biometric applications. He is leading the ERC-funded research project H-Unique, which aims to automate the identification of suspects from images of their hands.
Invited Talks
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Sue Black: Guest lecture for SCC361 Artificial Intelligence
Student Feedback: “The guest lecture from Susan Black has to be one of the best lectures throughout the degree, being both informative and giving a good understanding of just how much of AI is used in the real world.”
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Introduction to AI in Ophthalmology
Royal College of Ophthalmology Annual Congress, UK.
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Webinar Series: Introduction to AI for Ophthalmology
A gentle introduction for AI for ophthalmic clinicians
Recent Publications
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Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
Yang X, Rahmani H, Black S, Williams BM. arXiv preprint arXiv:2402.17891. 2024 Feb 27.
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A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image
Jiang Z, Rahmani H, Black S, Williams BM. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (pp. 758-767).
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An Investigation on ECG-based Cardiological Diagnosis via Deep Learning Models
Meehan A, Zhang Z, Williams B, Jiang R. In Recent Advances in AI-enabled Automated Medical Diagnosis 2022 Oct 20 (pp. 304-316). CRC Press.
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Visualizing water inside an operating proton exchange membrane fuel cell with video‐rate terahertz imaging
Alves‐Lima DF, Williams BM, Schlegl H, Gupta G, Letizia R, Dawson R, Lin H. Fuel Cells. 2022 Oct 17.
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Robust Brain Age Estimation based on sMRI via Nonlinear Age-Adaptive Ensemble Learning
Zhang Z, Jiang R, Zhang C, Williams B, Jiang Z, Li CT, Chazot P, Pavese N, Bouridane A, Beghdadi A. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2022.
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Graph-context Attention Networks for Size-varied Deep Graph Matching
Jiang Z, Rahmani H, Angelov P, Black S, Williams BM. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022 (pp. 2343-2352).
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Data-Driven Sentinel-2 Based Deep Feature Extraction to Improve Insect Species Distribution Models
Phillips J, Zhang C, Williams B, Jarvis S. In EGU General Assembly Conference Abstracts 2022 May (pp. EGU22-5632).
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Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
Baisa NL, Williams B, Rahmani H, Angelov P, Black S. In 2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA) 2022 Apr 19 (pp. 1-6). IEEE.
Funding
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Artificial intelligence-based earlier detection of glaucoma via retinal images
EPSRC Impact Acceleration Account Bryan M. Williams Award Amount: £20,000 Project Start Date: 01/09/2023 Project End Date: 31/08/2024
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Biometric-based artificial intelligence to identify suspects of serious crime in large datasets
Joint ESRC-EPSRC Impact Acceleration Account Bryan M. Williams, Hossein Rahmani, Sophie Nightingale Award Amount: £15,000 Project Start Date: 01/09/2021 Project End Date: 31/08/2022
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H-Unique: In Search of Uniqueness – Harnessing Anatomical Hand Variation
ERC Award Amount: £2,000,000 Project Start Date: 01/09/2019 Project End Date: 31/12/2024
Latest News
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H-Unique Demo at CVPR
Bryan M. Williams – Organiser, SpeakerXinyu Yang – SpeakerHossein Rahmani – ContributorAndrei Banica – ContributorSue Black – Contributor
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Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
Yang X, Rahmani H, Black S, Williams BM. arXiv preprint arXiv:2402.17891. 2024 Feb 27.
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Artificial intelligence-based earlier detection of glaucoma via retinal images
EPSRC Impact Acceleration Account Bryan M. Williams Award Amount: £20,000 Project Start Date: 01/09/2023 Project End Date: 31/08/2024
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A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image
Jiang Z, Rahmani H, Black S, Williams BM. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (pp. 758-767).
-
An Investigation on ECG-based Cardiological Diagnosis via Deep Learning Models
Meehan A, Zhang Z, Williams B, Jiang R. In Recent Advances in AI-enabled Automated Medical Diagnosis 2022 Oct 20 (pp. 304-316). CRC Press.
-
Visualizing water inside an operating proton exchange membrane fuel cell with video‐rate terahertz imaging
Alves‐Lima DF, Williams BM, Schlegl H, Gupta G, Letizia R, Dawson R, Lin H. Fuel Cells. 2022 Oct 17.
-
Robust Brain Age Estimation based on sMRI via Nonlinear Age-Adaptive Ensemble Learning
Zhang Z, Jiang R, Zhang C, Williams B, Jiang Z, Li CT, Chazot P, Pavese N, Bouridane A, Beghdadi A. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2022.