By Associate Professor Lois Holloway

Preprints

Xing A; Goozee G; Liney G; Arumugam S; Deshpande S; Espinoza A; Gray A; Kondilis V; Elwadia D; Rai R; Holloway L, 2024, AutoMRISimQA: an automated system for daily quality control of a 3T MRI simulator, http://dx.doi.org/10.48550/arxiv.2403.17365

Brown R; Holloway L; Lau A; Lim K; Moodaley P; Metcalfe P; Do V; Cutajar D; Walker A, 2024, Potential anatomical triggers for plan adaptation of cervical cancer external beam radiotherapy, http://dx.doi.org/10.21203/rs.3.rs-3852786/v1

Haidar A; Mouiee DA; Aly F; Thwaites D; Holloway L, 2024, Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data, http://arxiv.org/abs/2402.08999v1

Brink C; Hansen CR; Field M; Price G; Thwaites D; Sarup N; Bernchou U; Holloway L, 2022, Distributed learning optimisation of Cox models can leak patient data: Risks and solutions, http://dx.doi.org/10.48550/arxiv.2204.05856

Haidar A; Field M; Batumalai V; Cloak K; Mouiee DA; Chlap P; Huang X; Chin V; Aly F; Carolan M; Sykes J; Vinod S; Delaney G; Holloway L, 2022, Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach, http://dx.doi.org/10.1101/2022.10.14.22280859

Rai R; Barton MB; Chlap P; Liney GP; Brink C; Vinod S; Heinke M; Trada Y; Holloway LC, 2021, Repeatability and Reproducibility of MRI-based Radiomic Features in Rectal Cancer, http://dx.doi.org/10.21203/rs.3.rs-1105008/v1

Haidar A; Holloway L, 2020, Integration of Deep and Ensemble Learning for Detecting COVID-19 in Computed Tomography Images, http://dx.doi.org/10.21203/rs.3.rs-82263/v2

Haidar A; Holloway L, 2020, Integration of Deep and Ensemble Learning for Detecting COVID-19 in Computed Tomography Images, http://dx.doi.org/10.21203/rs.3.rs-82263/v1

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