FDG-PET Image Classification in Alzheimer’s Disease: from Traditional Visual Analysis to Advanced Transfer Learning
Tripathi, S., McNeil, C., Staff, R., Murray, A., Wischik, C., Schelter, B., Waiter, G.
Nuclear Medicine and Molecular Imaging, vol. 59, pp. 201-208
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Managing class imbalance in the training of a large language model to predict patient selection for total knee arthroplasty: Results from the Artificial intelligence to Revolutionise the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project
Farrow, L., Anderson, L., Zhong, M.
Knee, vol. 54, pp. 1-8
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Open Access
Neural Correlates of Children with Avoidant Restrictive Food Intake Disorder (ARFID) Symptoms: Large-Scale Neuroanatomical Analysis of a Paediatric Population
Sader, M., Harris, H. A., Waiter, G., Jansen, P. W., Williams, J. H. G., White, T.
Journal of Child Psychology and Psychiatry, vol. 66, no. 6, pp. 785-795
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The insula represents a key neurobiological pain hub in psoriatic arthritis
Sunzini, F., Stefanov, K., Al-Wasity, S., Kaplan, C., Schrepf, A., Waller, N., Harte, S., Harris, R., Clauw, D. J., McLean, J., Siebert, S., Goodyear, C. S., Waiter, G. D., Basu, N.
Arthritis Research & Therapy, vol. 27, no. 1, 70
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A systematic review of natural language processing applications in Trauma & Orthopaedics
Farrow, L., Raja, A., Zhong, M., Anderson, L.
Bone and Joint Open, vol. 6, no. 3, pp. 264-274
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Liquid biopsy to identify Barrett’s oesophagus, dysplasia and oesophageal adenocarcinoma: the EMERALD multicentre study
Miyoshi, J., Mannucci, A., Scarpa, M., Gao, F., Toden, S., Whitsett, T., Inge, L. J., Bremner, R. M., Takayama, T., Cheng, Y., Bottiglieri, T., Nagetaal, I. D., Shrubsole, M. J., Zaidi, A. H., Wang, X., Coleman, H. G., Anderson, L. A., Meltzer, S. J., Goel, A., FINBAR-EMERALD
Gut, vol. 74, no. 2, pp. 169-181
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Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI
Nkonde, K. A., Cheung, S. M., Senn, N., He, J.
Frontiers in Oncology, vol. 15, 1482112
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Differences in Brain Volume and Thickness between Shammah (Smokeless Tobacco) Users and Non-Users: A Cross-Sectional Study
Majrashi, N. A., Alyami, A. S., Almansour, M. A., Alyami, M. H., Almansour, M. H., Alhashlan, E., Shubayr, N., Hendi, A. M., Ageeli, W. A., Madkhali, Y., Alwadani, B., Refaee, T. A., Waiter, G. D.
British Journal of Hospital Medicine, vol. 86, no. 1, pp. 1-18
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Machine learning identifies routine blood tests as accurate predictive measures of pollution-dependent poor cognitive function
Johnson, H., Longden, J., Cameron, G., Waiter, G. D., Waldron, F. M., Gregory, J. M., Spence, H.
Working Papers and Discussion Papers
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Increased default mode network activation in depression and social anxiety during upward social comparison
Acuña, A., Morales, S., Uriarte-Gaspari, L., Aguirre, N., Brandani, A., Huart, N., Mattos, J., Pérez, A., Cuña, E., Waiter, G., Steele, D., Armony, J. L., García-Fontes, M., Cabana, Ã., Gradin, V. B.
Social Cognitive and Affective Neuroscience, vol. 20, no. 1, nsaf012