Computing Science

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

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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

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Book Chapter

LON/D — Sub-problem Landscape Analysis in Decomposition-Based Multi-objective Optimization

Liefooghe A, Ochoa G & Verel S (2025) LON/D — Sub-problem Landscape Analysis in Decomposition-Based Multi-objective Optimization. In: Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, pp. 133-149. https://doi.org/10.1007/978-3-031-86849-8_9

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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

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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

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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

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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

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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

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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).

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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

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Conference Paper (published)

Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning

Gu Y & Wei H (2024) Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning. In: Proceedings of 2024 32nd Mediterranean Conference on Control and Automation (MED). 2024 32nd Mediterranean Conference on Control and Automation (MED), Chania - Crete, Greece, 11.06.2024-14.06.2024. IEEE, pp. 909-914. https://doi.org/10.1109/med61351.2024.10566184

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Article

Single Stage Adaptive Multi-Attention Network for Image Restoration

Zafar A, Aftab D, Qureshi R, Fan X, Chen P, Wu J, Ali H, Nawaz S, Khan S & Shah M (2024) Single Stage Adaptive Multi-Attention Network for Image Restoration. IEEE Transactions on Image Processing, 33, pp. 2924-2935. https://doi.org/10.1109/tip.2024.3384838

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Article

Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study

Abd-alrazaq A, Nashwan AJ, Shah Z, Abujaber A, Alhuwail D, Schneider J, AlSaad R, Ali H, Alomoush W, Ahmed A & Aziz S (2024) Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study. JMIR Formative Research, 8, Art. No.: e49411. https://doi.org/10.2196/49411

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Article

High intensity interval training as a novel treatment for impaired awareness of hypoglycaemia in people with type 1 diabetes (HIT4HYPOS): a randomised parallel-group study

Farrell CM, McNeilly AD, Hapca S, Fournier PA, Jones TW, Facchinetti A, Cappon G, West DJ & McCrimmon RJ (2024) High intensity interval training as a novel treatment for impaired awareness of hypoglycaemia in people with type 1 diabetes (HIT4HYPOS): a randomised parallel-group study. Diabetologia, 67, pp. 392-402. https://doi.org/10.1007/s00125-023-06051-x

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Article

Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention

Ali H, Shah Z, Alam T, Wijayatunga P & Elyan E (2024) Editorial: Recent advances in multimodal artificial intelligence for disease diagnosis, prognosis, and prevention. Frontiers in Radiology, 3. https://doi.org/10.3389/fradi.2023.1349830

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Conference Paper (published)

Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation

Nogueira K, Maezano Faita-Pinheiro M, Ramos AP, Gonçalves WN, Marcato Junior J & Santos JAD (2023) Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation. In: WACV 2024, 04.01.2024-08.01.2024. Piscataway, NJ, USA: IEEE.

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Article

GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes

Johnston P, Nogueira K & Swingler K (2023) GMM-IL: Image Classification Using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes. IEEE Access, 11, pp. 25492-25501. https://doi.org/10.1109/access.2023.3255795

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Article

Expected goals in football: Improving model performance and demonstrating value

Mead J, O’Hare A & McMenemy P (2023) Expected goals in football: Improving model performance and demonstrating value. Muazu Musa R (Editor) PLOS ONE, 18 (4), Art. No.: e0282295. https://doi.org/10.1371/journal.pone.0282295

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