Research Publications for Michael J Mayo
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Author's Publications
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Hirsz, M., Hunt, L., Mayo, M., & Chepulis, L. (2022). Symptoms associated with colorectal cancer in patients referred to secondary care. New Zealand Medical Journal, 135(1554), 137-139.
Koutny, T., & Mayo, M. (2022). Predicting glucose level with an adapted branch predictor. Computers in Biology and Medicine, 145, 105388. doi:10.1016/j.compbiomed.2022.105388
Rodrigues, M., Mayo, M., & Patros, P. (2022). OctopusNet: Machine learning for intelligent management of surgical tools. Smart Health, 23, 100244. doi:10.1016/j.smhl.2021.100244
Breeze, F., Hossain, R., Mayo, M., & McKelvie, J. (2022). Predicting ophthalmic clinic non-attendance using machine learning. Clinical and Experimental Ophthalmology, 49(8), 804. Retrieved from http://gateway.webofknowledge.com/
Other publications by:
MAYO, Michael JWhitten, J., Mayo, M., & McKelvie, J. (2022). Analysis of phacoemulsification videos using machine learning. Clinical And Experimental Ophthalmology, 49(8), 878. Retrieved from http://gateway.webofknowledge.com/
Other publications by:
MAYO, Michael JGunasinghe, H. N., McKelvie, J., Koay, A., & Mayo, M. (2022). Automated detection of glaucoma from retinal fundus images using a variety of fundus cameras. Clinical and Experimental Ophthalmology, 49(8), 911. Retrieved from http://gateway.webofknowledge.com/
Wang, H., Gouk, H., Fraser, H., Frank, E., Pfahringer, B., Mayo, M., & Holmes, G. (2022). Experiments in cross-domain few-shot learning for image classification. Journal of the Royal Society of New Zealand, 1-23. doi:10.1080/03036758.2022.2059767
Other publications by:
FRANK, Eibe T :: PFAHRINGER, Bernhard M :: MAYO, Michael J :: HOLMES, GeoffreyRodrigues, M., Mayo, M., & Patros, P. (2022). Evaluation of deep learning techniques on a novel hierarchical surgical tool dataset. In G. Long, X. Yu, & S. Wang (Eds.), Proc 34th Australasian Joint Conference on Advances in Artificial Intelligence (AI 2021) LNCS 13151 (pp. 169-180). Sydney, Australia: Springer. doi:10.1007/978-3-030-97546-3_14
Wakes, S. J., Bauer, B. O., & Mayo, M. (2021). A preliminary assessment of machine learning algorithms for predicting CFD-simulated wind flow patterns over idealised foredunes. Journal of the Royal Society of New Zealand, 51(2), 290-306. doi:10.1080/03036758.2020.1868541
Other publications by:
MAYO, Michael JWang, H., Chepulis, L., Paul, R., & Mayo, M. (2021). Optimising continuous intravenous insulin protocols using artificial intelligence. Poster session presented at the meeting of New Zealand Society for the Study of Diabetes Annual Scientific Meeting. Wellington, NZ.
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