Publications
List of papers published in collaboration with Data Science Unit
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MacRae C, Morales D, Mercer SW, Lone N, Lawson A, Jefferson E, et al. Impact of data source choice on multimorbidity measurement: a comparison study of 2.3 million individuals in the Welsh National Health Service. BMC Medicine ;21(1):309 (2023), doi: 10.1186/s12916-023-02970-z
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Docherty A. B. et al., "Patient emergency health-care use before hospital admission for COVID-19 and long-term outcomes in Scotland: a national cohort study" in The Lancet Digital Health, Volume 5, Issue 7, July 2023, Pages e446-e457 (2023), doi: 10.1016/S2589-7500(23)00051-1
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McGivern K. G. et al., "Applying Artificial Intelligence to Big Data in Hepatopancreatic and Biliary Surgery: A Scoping Review" in Artificial Intelligence Surgery, 3(1):27-47 (2023), doi: 10.20517/ais.2022.39
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N. C. Jenkins et al., "Computational Fluorescence Suppression in Shifted Excitation Raman Spectroscopy," in IEEE Transactions on Biomedical Engineering (2023), doi: 10.1109/TBME.2023.3243866.
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Adams, A., Kufcsak, A., Ehrlich, K., Dhaliwal, K., & Seth, S. Simultaneous Spectral Temporal Modelling for a Time-Resolved Fluorescence Emission Spectrum. IEEE Transactions on Biomedical Engineering (2023). doi: 10.1109/TBME.2023.3244664
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Zhang, R., Seth, S., & Cumby, J. (2022). Grouped representation of interatomic distances as a similarity measure for crystal structures. Digital Discovery. doi: 10.1039/D2DD00054G
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Swann, O. V. et al. Studying the Long-term Impact of COVID-19 in Kids (SLICK). Healthcare use and costs in children and young people following community-acquired SARS-CoV-2 infection: protocol for an observational study using linked primary and secondary routinely collected healthcare data from England, Scotland and Wales. BMJ Open 12, e063271 (2022). doi: 10.1136/bmjopen-2022-063271
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Fish, M. et al. Coronavirus disease 2019 subphenotypes and differential treatment response to convalescent plasma in critically ill adults: secondary analyses of a randomized clinical trial. Intensive Care Med (2022) doi:10.1007/s00134-022-06869-w
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Wood, H. A. C. et al. Tri‐mode optical biopsy probe with fluorescence endomicroscopy, Raman spectroscopy, and time‐resolved fluorescence spectroscopy. Journal of Biophotonics (2022) doi:10.1002/jbio.202200141
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Watmough, G.R., Hagdorn, M., Brumhead, J. et al. Using open-source data to construct 20 metre resolution maps of children’s travel time to the nearest health facility. Sci Data 9, 217 (2022). doi:10.1038/s41597-022-01274-w
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Millar, J. E. et al. Distinct clinical symptom patterns in patients hospitalised with COVID-19 in an analysis of 59,011 patients in the ISARIC-4C study. Sci Rep 12, 6843 (2022) don:10.1038/s41598-022-08032-3.
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Neal, I., Seth, S., Watmough, G. & Diallo, M. S. Census-independent population estimation using representation learning. Sci Rep 12, 5185 (2022) doi:10.1038/s41598-022-08935-1.
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Jiang, Q. et al. Prediction of the performance of pre‐packed purification columns through machine learning. J of Separation Science (2022) doi:10.1002/jssc.202100864.
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Swann, O. V. et al. Clinical characteristics of children and young people admitted to hospital with covid-19 in United Kingdom: prospective multicentre observational cohort study. BMJ m3249 (2020) doi:10.1136/bmj.m3249.
- Boufea, K., Seth, S. & Batada, N. N. scID Uses Discriminant Analysis to Identify Transcriptionally Equivalent Cell Types across Single-Cell RNA-Seq Data with Batch Effect. iScience 23, 100914 (2020) doi:10.1016/j.isci.2020.100914.
- Seth, S., Murray, I. & Williams, C. K. I. Model Criticism in Latent Space. Bayesian Anal. 14, 703–725 (2019) doi:10.1214/18-BA1124.
- Seth, S., Akram, A. R., Dhaliwal, K. & Williams, C. K. I. Estimating Bacterial and Cellular Load in FCFM Imaging. Journal of Imaging 4, 11 (2018) doi:10.3390/jimaging4010011.
- Adams, A. et al. Differentiating Individual Fluorophores from a Heterogenous Signature on a Fibre-based Time Resolved Fluorescene Spectroscopy (TRFS) System. World Molecular Imaging Congress (2022)
- Choudhury, D. et al. Endoscopic sensing of distal lung physiology. J. Phys.: Conf. Ser. 1151, 012009 (2019) doi:10.1088/1742-6596/1151/1/012009.
- Hemment, D., Vidmar, M., Panas, D., Murray-Rust, D., Belle, V. & Aylett, R. Agency and legibility for artists through Experiential AI. ACM Creativity & Cognition: 1st International Workshop on Explainable AI for the Arts (2023), xaixarts.github.io[pdf]
- Neal, I., Seth, S., Watmough, G. & Saliou Diallo, M. Towards Sustainable Census-Independent Population Estimation in Mozambique. Artificial Intelligence for Public Health (AI4PH) (2021) arXiv:2104.12696.
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Johnson L, Anand A, Marshall A, Seth S, Bach B. 1505 Using Patient And Public Involvement (PPI), Data And Design To Communicate About Frailty To The General Public . Age and Ageing, Jul;52(Supplement_2):afad104-074 (2023).
- Rizvi, A. et al. Strain ratio distributions can elegantly describe the effect of lesion location and size in femoral metastases. 28th Congress of the European Society of Biomechanics (2023)
- Tam, J., Centola, J., Kurudzhu, H., Watson, N., MacKenzie, J., Green, A., Summers, D., Barria, M., Seth, S., Smith, C., Pal, S. (2023, May 10-12). Deep learning survival prediction in sporadic Creutzfeldt-Jakob Disease. ABN/IICN Joint Annual Meeting (2023).
- Gilgannon, J. et al. A non-hydrostatic stress state forms fabrics during metamorphic reactions. European Geosciences Union (EGU) General Assembly (2023)
- Avramidis, N. et al. Genomic Stratification in Critical Ill COVID-19 Patients. 14th International Congress of Human Genetics (ICHG) (2023)
- Turnbull, C. et al. 616 Addressing Challenges to Enable Better Use of Routinely Collected Clinical Photographs: Evaluating the Largest Cleft Dataset for Machine Learning Analysis. British Journal of Surgery 109, znac269.310 (2022).
- Panas, D., Seth, S., Watmough, G. & Rush, D. Assessing the Utility of Open-Source Geo-Spatial Data for AI-Driven Estimation of Fire Spread Risk in Informal Settlements. Proceedings of the 41st EARSeL Symposium (2022).
- Przybylski, A. et al. Stratification of Fibrotic Lung Disease: Integration of Molecular Endotyping and Quantitative CT via Machine Learning. in Futuristic Medicine symposium, Royal College of Physicians Edinburgh (2019).
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Zhang, R., Seth, S. & Cumby, J. Grouped representation of interatomic distances as a similarity measure for crystal structures. (2022) doi:10.26434/chemrxiv-2022-9m4jh.
- Yang, Y., Seth, S., Butler, I. B. & Fusseis, F. Fast Segmentation of 4D Microtomography Volumes from Core-flooding Experiments in Porous Rock using Convolutional Neural Network. (2021) doi:10.1002/essoar.10507074.1