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Article

Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment

McLean KA, Sgro A, Brown LR, Buijs LF, Mountain KE, Shaw CA, Drake TM, Pius R, Knight SR, Fairfield CJ, Skipworth RJE, Tsaftaris SA, Wigmore SJ, Potter MA & Bouamrane M (2025) Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment. npj Digital Medicine, 8, Art. No.: 121. https://doi.org/10.1038/s41746-024-01419-8

Article

Cross modality medical image synthesis for improving liver segmentation

Rafiq M, Ali H, Mujtaba G, Shah Z & Azmat S (2025) Cross modality medical image synthesis for improving liver segmentation. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 13 (1). https://doi.org/10.1080/21681163.2025.2476702

Interpretable decision trees to predict solution fitness

Catalano GAPI, Brownlee AEI, Cairns D & Ainslie R (2025) Interpretable decision trees to predict solution fitness. In: GECCO 2025, Malaga, Spain, 14.07.2025-18.07.2025. Association for Computing Machinery (ACM). https://doi.org/10.1145/1122445.1122456

Article

Large Language Model Based Mutations in Genetic Improvement

Brownlee AEI, Callan J, Even-Mendoza K, Geiger A, Hanna C, Petke J, Sarro F & Sobania D (2025) Large Language Model Based Mutations in Genetic Improvement. Automated Software Engineering, 32 (15). https://doi.org/10.1007/s10515-024-00473-6

Article

Information needs in vascular access decision-making: A qualitative study of patient and clinical stakeholder perspectives

Stevenson K, Meiklem R, Bouamrane M, Thomson P, Dunlop M, Martin L, Jones C & Kingsmore D (2025) Information needs in vascular access decision-making: A qualitative study of patient and clinical stakeholder perspectives. The Journal of Vascular Access, pp. 1-11. https://journals.sagepub.com/doi/10.1177/11297298251314792; https://doi.org/10.1177/11297298251314792

Article

Multiscale matrix pencils for separable reconstruction problems

Cuyt A & Lee W (2024) Multiscale matrix pencils for separable reconstruction problems. Numerical Algorithms, 95, pp. 31-72. https://doi.org/10.1007/s11075-023-01564-3

Book Chapter

Patient-Centred, Technology-Based Interventions for High Treatment Burden: An Overview of the State of the Art

Meiklem R, Bouamrane M, Kingsmore D, Stevenson K, Dunlop M & Thomson P (2024) Patient-Centred, Technology-Based Interventions for High Treatment Burden: An Overview of the State of the Art. In: Bichel-Findlay J, Otero P, Scott P & Huesing E (eds.) MEDINFO 2023 — The Future Is Accessible. Vol 310 ed. Studies in Health Technology and Informatics, Volume 310: MEDINFO 2023 — The Future Is Accessible. Proceedings of the 19th World Congress on Medical and Health Informatics: IOS Press, pp. 529 - 533. https://doi.org/10.3233/shti231021

Book Chapter

Decision Support in Cardiac Surgery: Early Exploration of Requirements with Cardiac Anesthetists and Surgeons

Lapp L, Bouamrane M, Roper M, Kavanagh K & Schraag S (2024) Decision Support in Cardiac Surgery: Early Exploration of Requirements with Cardiac Anesthetists and Surgeons. In: Digital Health and Informatics Innovations for Sustainable Health Care Systems. Studies in Health Technology and Informatics, Volume 316. IOS Press, pp. 1827 - 1831. https://doi.org/10.3233/shti240786

Conference Paper (published)

An FPGA-based neuromorphic vision system accelerator

Ali T, Rainey J, Lau SY, Gheorghiu E, Maier P, Appiah K & Bhowmick D (2024) An FPGA-based neuromorphic vision system accelerator. In: Bouma H, Prabhu R, Yitzhaky Y & Kuijf HJ (eds.) volume 13206. SPIE "Artificial Intelligence for Security and Defence Applications II, Edinburgh, 16.09.2024-20.09.2024. SPIE. https://doi.org/10.1117/12.3034095

Article

Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review

Ahmed FA, Yousef M, Ahmed MA, Ali HO, Mahboob A, Ali H, Shah Z, Aboumarzouk O, Al Ansari A & Balakrishnan S (2024) Deep learning for surgical instrument recognition and segmentation in robotic-assisted surgeries: a systematic review. Artificial Intelligence Review, 58 (1). https://doi.org/10.1007/s10462-024-10979-w

Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture

Swingler K, Rumble T, Goutcher R, Hibbard P, Donoghue M & Harvey D (2024) Combined Depth and Semantic Segmentation from Synthetic Data and a W-Net Architecture. In: volume 1. 16th International Conference on Neural Computation Theory and Applications, Porto, Portugal, 20.11.2024-22.11.2024. SCITEPRESS - Science and Technology Publications, pp. 413-422. https://doi.org/10.5220/0012877500003837

Newspaper / Magazine

Band Aid sang ‘feed the world’ 40 years ago – where is hunger still an issue today?

Norman R (2024) Band Aid sang ‘feed the world’ 40 years ago – where is hunger still an issue today?. The Conversation. 27.11.2024. https://theconversation.com/band-aid-sang-feed-the-world-40-years-ago-where-is-hunger-still-an-issue-today-244564

Article

Semantically-Informed Graph Neural Networks for Irony Detection in Turkish

Bolucu N & Can Buglalilar B (2024) Semantically-Informed Graph Neural Networks for Irony Detection in Turkish. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP).

Presentation / Talk

Predicting the impact of climate change on tick populations- a dynamic GIS approach

Norman R (2024) Predicting the impact of climate change on tick populations- a dynamic GIS approach. Royal Society Publishing Systems Biology Seminars, 01.11.2024. https://doi.org/10.52843/cassyni.dw8w3r

Article

Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data

Jan N, Minallah N, Sher M, Wasim M, Khan S, Al‐Rasheed A & Ali H (2024) Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data. Engineering Reports, 7 (1). https://onlinelibrary.wiley.com/doi/full/10.1002/eng2.13031; https://doi.org/10.1002/eng2.13031

Article

Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators

McLean KA, Sgrò A, Brown LR, Buijs LF, Mozolowski K, Daines L, Cresswell K, Potter MA, Bouamrane M & Harrison EM (2024) Implementation of digital remote postoperative monitoring in routine practice: a qualitative study of barriers and facilitators. BMC Medical Informatics and Decision Making, 24 (1), p. 14. https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02670-5; https://doi.org/10.1186/s12911-024-02670-5

Article

COVID-19 in Scottish care homes: A metapopulation model of spread among residents and staff

Baister M, McTaggart E, McMenemy P, Megiddo I & Kleczkowski A (2024) COVID-19 in Scottish care homes: A metapopulation model of spread among residents and staff. Epidemics, 48, Art. No.: 100781. https://www.sciencedirect.com/science/article/pii/S1755436524000422; https://doi.org/10.1016/j.epidem.2024.100781