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Health & Place|March 26, 2010
Small area estimation of sparse disease counts using shared component models-application to birth defect registry data in New South Wales, AustraliaArul Earnest, John R Beard, Geoff Morgan, et al.Plos One|June 30, 2023
Understanding links between water-quality variables and nitrate concentration in freshwater streams using high frequency sensor dataClaire Kermorvant, Benoit Liquet, Guy Litt, et al.Journal of Medical Radiation Sciences|April 19, 2016
Automated replication of cone beam CT-guided treatments in the Pinnacle(3) treatment planning system for adaptive radiotherapyCatriona Hargrave, Nicole Mason, Robyn Guidi, et al.International Journal of Cancer|December 10, 2022
Geographical and spatial disparities in the incidence and survival of rare cancers in AustraliaParamita Dasgupta, Jessica K Cameron, Susanna M Cramb, et al.International Journal of Environmental Research and Public Health|December 10, 2021
Reconstructing Missing and Anomalous Data Collected from High-Frequency In-Situ Sensors in Fresh WatersClaire Kermorvant, Benoit Liquet, Guy Litt, et al.IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 30, 2019
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk EstimatorCaoyuan Li, Hong-Bo Xie, Xuhui Fan, et al.Peerj|June 20, 2017
Modelling environmental drivers of black band disease outbreaks in populations of foliose corals in the genus MontiporaCarla C M Chen, David G Bourne, Christopher C Drovandi, et al.Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|July 5, 2015
Predicting the need for adaptive radiotherapy in head and neck cancerElizabeth Brown, Rebecca Owen, Fiona Harden, et al.Journal of Sports Sciences|September 21, 2021
Bayesian prediction of winning times for elite swimming eventsPaul Pao-Yen Wu, Lawrence Garufi, Christopher Drovandi, et al.Asia-Pacific Journal of Clinical Oncology|July 21, 2016
Head and neck adaptive radiotherapy: Predicting the time to replanElizabeth Brown, Rebecca Owen, Fiona Harden, et al.Pageof 24