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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

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

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

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

Bouamrane M (2024) Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment. npj Digital Medicine.

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

Conference Paper (published)

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

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).

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

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

Article

GIS-ODE: linking dynamic population models with GIS to predict pathogen vector abundance across a country under climate change scenarios

Worton AJ, Norman RA, Gilbert L & Porter RB (2024) GIS-ODE: linking dynamic population models with GIS to predict pathogen vector abundance across a country under climate change scenarios. Journal of the Royal Society Interface, 21 (217). https://doi.org/10.1098/rsif.2024.0004

Article

Multimorbidity and adverse outcomes following emergency department attendance: population based cohort study

Blayney MC, Reed MJ, Masterson JA, Anand A, Bouamrane MM, Fleuriot J, Luz S, Lyall MJ, Mercer S, Mills NL, Shenkin SD, Walsh TS, Wild SH, Wu H & McLachlan S (2024) Multimorbidity and adverse outcomes following emergency department attendance: population based cohort study. BMJ Medicine, 3, Art. No.: e000731. https://doi.org/10.1136/bmjmed-2023-000731

Article

Reachability analysis of FMI models using data-driven dynamic sensitivity

Bogomolov S, Gomes C, Isasa C, Soudjani S, Stankaitis P & Wright T (2024) Reachability analysis of FMI models using data-driven dynamic sensitivity. SIMULATION. https://doi.org/10.1177/00375497241261409

Conference Abstract

Reducing the Burden to Deliver Remote Postoperative Surveillance Using Machine Learning for Surgical-Site Infection (SSI)

McLean K, Sgrò A, Brown L, Buijs L, Potter M, Bouamrane MM & Harrison E (2024) Reducing the Burden to Deliver Remote Postoperative Surveillance Using Machine Learning for Surgical-Site Infection (SSI). British Journal of Surgery, 111 (Supplement_6), Art. No.: znae163.012. https://doi.org/10.1093/bjs/znae163.012