ORCID as entered in ROS

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2023, 'Outcome prediction models incorporating clinical variables for Head and Neck Squamous cell Carcinoma: A systematic review of methodological conduct and risk of bias', Radiotherapy and Oncology, 183, http://dx.doi.org/10.1016/j.radonc.2023.109629
,2023, 'Validation of a Fully Automated Hybrid Deep Learning Cardiac Substructure Segmentation Tool for Contouring and Dose Evaluation in Lung Cancer Radiotherapy', Clinical Oncology, 35, pp. 370 - 381, http://dx.doi.org/10.1016/j.clon.2023.03.005
,2023, 'Clinical validation of MR imaging time reduction for substitute/synthetic CT generation for prostate MRI-only treatment planning.', Phys Eng Sci Med, http://dx.doi.org/10.1007/s13246-023-01268-x
,2023, 'Prognostic and predictive values of baseline and mid-treatment FDG-PET in oropharyngeal carcinoma treated with primary definitive (chemo)radiation and impact of HPV status: Review of current literature and emerging roles.', Radiother Oncol, 184, pp. 109686, http://dx.doi.org/10.1016/j.radonc.2023.109686
,2023, 'Magnetic resonance biomarker assessment software (MR-BIAS): an automated open-source tool for the ISMRM/NIST system phantom', Physics in Medicine and Biology, 68, http://dx.doi.org/10.1088/1361-6560/acbcbb
,2023, 'ACPSEM position paper: dosimetry for magnetic resonance imaging linear accelerators', Physical and Engineering Sciences in Medicine, 46, pp. 1 - 17, http://dx.doi.org/10.1007/s13246-023-01223-w
,2023, 'Open-source, fully-automated hybrid cardiac substructure segmentation: development and optimisation', Physical and Engineering Sciences in Medicine, 46, pp. 377 - 393, http://dx.doi.org/10.1007/s13246-023-01231-w
,2023, 'Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach', Cancers, 15, pp. 564 - 564, http://dx.doi.org/10.3390/cancers15030564
,2023, 'Automated detection, delineation and quantification of whole-body bone metastasis using FDG-PET/CT images', Physical and Engineering Sciences in Medicine, http://dx.doi.org/10.1007/s13246-023-01258-z
,2022, 'Repeatability of MRI for radiotherapy planning for pelvic, brain, and head and neck malignancies', Frontiers in Physics, 10, http://dx.doi.org/10.3389/fphy.2022.879707
,2022, 'NIMG-75. REPEATABILITY OF MANUAL SEGMENTATION OF GLIOBLASTOMA ON MRI - QUALITY ASSURANCE FOR A QUANTITATIVE MRI RADIOMICS REPEATABILITY STUDY', Neuro-Oncology, 24, pp. vii182 - vii182, http://dx.doi.org/10.1093/neuonc/noac209.693
,2022, 'Larynx cancer survival model developed through open-source federated learning', Radiotherapy and Oncology, 176, pp. 179 - 186, http://dx.doi.org/10.1016/j.radonc.2022.09.023
,2022, 'Ion chamber magnetic field correction factors measured via microDiamond cross-calibration from a conventional linac to MRI-linac', Frontiers in Physics, 10, http://dx.doi.org/10.3389/fphy.2022.925890
,2022, 'Development of a vendor neutral MRI distortion quality assurance workflow', Journal of Applied Clinical Medical Physics, 23, http://dx.doi.org/10.1002/acm2.13735
,2022, 'Infrastructure platform for privacy-preserving distributed machine learning development of computer-assisted theragnostics in cancer', Journal of Biomedical Informatics, 134, pp. 104181, http://dx.doi.org/10.1016/j.jbi.2022.104181
,2022, 'Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients', Clinical and Translational Radiation Oncology, 36, pp. 121 - 126, http://dx.doi.org/10.1016/j.ctro.2022.08.005
,2022, 'Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study.', Diagn Progn Res, 6, pp. 14, http://dx.doi.org/10.1186/s41512-022-00128-8
,2022, 'Challenges in Glioblastoma Radiomics and the Path to Clinical Implementation', Cancers, 14, http://dx.doi.org/10.3390/cancers14163897
,2022, 'Open-source distributed learning validation for a larynx cancer survival model following radiotherapy', Radiotherapy and Oncology, 173, pp. 319 - 326, http://dx.doi.org/10.1016/j.radonc.2022.06.009
,2022, 'Rates of MRI simulator utilisation in a tertiary cancer therapy centre', Journal of Medical Imaging and Radiation Oncology, 66, pp. 717 - 723, http://dx.doi.org/10.1111/1754-9485.13422
,2022, 'Causal relation between heart irradiation and survival of lung cancer patients after radiotherapy', Radiotherapy and Oncology, 172, pp. 126 - 133, http://dx.doi.org/10.1016/j.radonc.2022.05.002
,2022, 'Conformance of a 3T radiotherapy MRI scanner to the QIBA Diffusion Profile', Medical Physics, 49, pp. 4508 - 4517, http://dx.doi.org/10.1002/mp.15645
,2022, 'Repeatability and reproducibility of magnetic resonance imaging-based radiomic features in rectal cancer', Journal of Medical Imaging, 9, http://dx.doi.org/10.1117/1.JMI.9.4.044005
,2022, 'Repeatability of radiotherapy dose-painting prescriptions derived from a multiparametric magnetic resonance imaging model of glioblastoma infiltration', Physics and Imaging in Radiation Oncology, 23, pp. 8 - 15, http://dx.doi.org/10.1016/j.phro.2022.06.004
,2022, 'Fibre-Optic Dosimetry for MRI-LINACs: A Mini-Review', Frontiers in Physics, 10, pp. 879624, http://dx.doi.org/10.3389/fphy.2022.879624
,2022, 'Experimental characterisation of the magnetic field correction factor, k B →, for Roos chambers in a parallel MRI-linac', Physics in Medicine and Biology, 67, http://dx.doi.org/10.1088/1361-6560/ac66b8
,2022, 'PDCP: A Set of Tools for Extracting, Transforming, and Loading Radiotherapy Data from the Orthanc Research PACS', Software, 1, pp. 215 - 222, http://dx.doi.org/10.3390/software1020009
,2022, 'Optimal and actual rates of Stereotactic Ablative Body Radiotherapy (SABR) utilisation for primary lung cancer in Australia', Clinical and Translational Radiation Oncology, 34, pp. 7 - 14, http://dx.doi.org/10.1016/j.ctro.2022.03.001
,2022, 'In Regard to Shortall et al', International Journal of Radiation Oncology Biology Physics, 112, pp. 831 - 833, http://dx.doi.org/10.1016/j.ijrobp.2021.10.140
,2022, 'Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images', Magnetic Resonance Imaging, 86, pp. 28 - 36, http://dx.doi.org/10.1016/j.mri.2021.10.012
,2022, 'Variability of gross tumour volume delineation: MRI and CT based tumour and lymph node delineation for lung radiotherapy', Radiotherapy and Oncology, 167, pp. 292 - 299, http://dx.doi.org/10.1016/j.radonc.2021.11.036
,2022, 'A statistical, voxelised model of prostate cancer for biologically optimised radiotherapy', Physics and Imaging in Radiation Oncology, 21, pp. 136 - 145, http://dx.doi.org/10.1016/j.phro.2022.02.011
,2022, 'An investigation of the conformity, feasibility, and expected clinical benefits of multiparametric MRI-guided dose painting radiotherapy in glioblastoma', Neuro-Oncology Advances, 4, http://dx.doi.org/10.1093/noajnl/vdac134
,2022, 'Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings', Artificial Intelligence in Medicine, 123, http://dx.doi.org/10.1016/j.artmed.2021.102230
,2021, 'Mid-treatment Fluorodeoxyglucose Positron Emission Tomography in Human Papillomavirus-related Oropharyngeal Squamous Cell Carcinoma Treated with Primary Radiotherapy: Nodal Metabolic Response Rate can Predict Treatment Outcomes', Clinical Oncology, 33, pp. e586 - e598, http://dx.doi.org/10.1016/j.clon.2021.07.011
,2021, 'Determining the longitudinal accuracy and reproducibility of T
2021, 'Automatic radiotherapy delineation quality assurance on prostate MRI with deep learning in a multicentre clinical trial', Physics in Medicine and Biology, 66, http://dx.doi.org/10.1088/1361-6560/ac25d5
,2021, 'Artificial intelligence (AI) will enable improved diagnosis and treatment outcomes', Physical and Engineering Sciences in Medicine, 44, pp. 603 - 606, http://dx.doi.org/10.1007/s13246-021-01034-x
,2021, 'Can reducing planning safety margins broaden the inclusion criteria for lung stereotactic ablative body radiotherapy?', Journal of Medical Radiation Sciences, 68, pp. 298 - 309, http://dx.doi.org/10.1002/jmrs.469
,2021, 'Effects of MR imaging time reduction on substitute CT generation for prostate MRI-only treatment planning', Physical and Engineering Sciences in Medicine, 44, pp. 799 - 807, http://dx.doi.org/10.1007/s13246-021-01031-0
,2021, 'The first real-time intrafraction target position monitoring in pancreas SBRT on an Elekta linear accelerator', Physical and Engineering Sciences in Medicine, 44, pp. 625 - 638, http://dx.doi.org/10.1007/s13246-021-01007-0
,2021, 'A review of medical image data augmentation techniques for deep learning applications', Journal of Medical Imaging and Radiation Oncology, 65, pp. 545 - 563, http://dx.doi.org/10.1111/1754-9485.13261
,2021, 'Artificial intelligence in medical imaging and radiation oncology: Opportunities and challenges', Journal of Medical Imaging and Radiation Oncology, 65, pp. 481 - 485, http://dx.doi.org/10.1111/1754-9485.13275
,2021, 'Deep learning for segmentation in radiation therapy planning: a review', Journal of Medical Imaging and Radiation Oncology, 65, pp. 578 - 595, http://dx.doi.org/10.1111/1754-9485.13286
,2021, 'Implementation of the Australian Computer-Assisted Theragnostics (AusCAT) network for radiation oncology data extraction, reporting and distributed learning', Journal of Medical Imaging and Radiation Oncology, 65, pp. 627 - 636, http://dx.doi.org/10.1111/1754-9485.13287
,2021, 'Machine learning applications in radiation oncology', Physics and Imaging in Radiation Oncology, 19, pp. 13 - 24, http://dx.doi.org/10.1016/j.phro.2021.05.007
,2021, 'PSPSO: A package for parameters selection using particle swarm optimization', SoftwareX, 15, pp. 100706 - 100706, http://dx.doi.org/10.1016/j.softx.2021.100706
,2021, 'An investigation of the IQM signal variation and error detection sensitivity for patient specific pre-treatment QA', Physica Medica, 86, pp. 6 - 18, http://dx.doi.org/10.1016/j.ejmp.2021.05.005
,2021, 'Intrinsic detector sensitivity analysis as a tool to characterize ArcCHECK and EPID sensitivity to variations in delivery for lung SBRT VMAT plans', Journal of Applied Clinical Medical Physics, 22, pp. 229 - 240, http://dx.doi.org/10.1002/acm2.13221
,2021, 'The effect of imaging modality (magnetic resonance imaging vs. computed tomography) and patient position (supine vs. prone) on target and organ at risk doses in partial breast irradiation', Journal of Medical Radiation Sciences, 68, pp. 157 - 166, http://dx.doi.org/10.1002/jmrs.453
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