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  1. S. Ray, A. Banerjee, A. Swift, J. W. Fanstone, M. Mamalakis, B. Vorselaars, C. Wilkie, J. Cole, L. S. Mackenzie & S. Weeks, “A Robust COVID-19 Mortality Prediction Calculator Based on Lymphocyte Count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with Chest X-Rays”, Scientific Reports (Accepted), October 2022. MedRxiv | PDF | tweet (IF: 4.996)
  2. A. N. Boss, A. Banerjee, M. Mamalakis, S. Ray, A. J. Swift, C. Wilkie, J. W. Fanstone, B. Vorselaars, J. Cole, S. Weeks & L. S. Mackenzie, “Development of A Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers”, International Journal of Molecular Sciences, 23(13), 7260, June 2022. https://doi.org/10.3390/ijms23137260 (IF: 6.208)
  3. M. Mamalakis, A. J. Swift, B. Vorselaars, S. Ray, S. Weeks, W. Ding, R. H. Clayton, L. S. Mackenzie & A. Banerjee, “DenResCov-19: A Deep Transfer Learning Network for Robust Automatic Classification of COVID-19, Pneumonia, and Tuberculosis from X-Rays”, Computerized Medical Imaging and Graphics, 94, 102008, December 2021. https://doi.org/10.1016/j.compmedimag.2021.102008 (IF: 7.422)
  4. A. Banerjee, S. Ray, B. Vorselaars, J. Kitson, M. Mamalakis, S. Weeks, M. R. Baker & L. S. Mackenzie, “Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population”, International immunopharmacology, 86, 106705, September 2020. https://doi.org/10.1016/j.intimp.2020.106705 (IF: 5.714)

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