Select Publications
Journal articles
2024, 'Evaluating the relationship between contouring variability and modelled treatment outcome for prostate bed radiotherapy.', Phys Med Biol, http://dx.doi.org/10.1088/1361-6560/ad3325
,2024, 'Federated learning survival model and potential radiotherapy decision support impact assessment for non-small cell lung cancer using real-world data', Clinical Oncology, http://dx.doi.org/10.1016/j.clon.2024.03.008
,2023, 'Changes in serial multiparametric MRI and FDG-PET/CT functional imaging during radiation therapy can predict treatment response in patients with head and neck cancer', European Radiology, 33, pp. 8788 - 8799, http://dx.doi.org/10.1007/s00330-023-09843-2
,2023, 'NIMG-21. SERIAL QUANTITATIVE MRI RADIOMICS SIGNATURE FOR PREDICTION OF SURVIVAL IN GLIOBLASTOMA – A PILOT STUDY', Neuro-Oncology, 25, pp. v189 - v189, http://dx.doi.org/10.1093/neuonc/noad179.0717
,2023, 'Clinical target volume delineation quality assurance for MRI-guided prostate radiotherapy using deep learning with uncertainty estimation', Radiotherapy and Oncology, 186, http://dx.doi.org/10.1016/j.radonc.2023.109794
,2023, 'Clinical validation of MR imaging time reduction for substitute/synthetic CT generation for prostate MRI-only treatment planning', Physical and Engineering Sciences in Medicine, 46, pp. 1015 - 1021, 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', Radiotherapy and Oncology, 184, http://dx.doi.org/10.1016/j.radonc.2023.109686
,2023, 'Automated detection, delineation and quantification of whole-body bone metastasis using FDG-PET/CT images', Physical and Engineering Sciences in Medicine, 46, pp. 851 - 863, http://dx.doi.org/10.1007/s13246-023-01258-z
,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, '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, http://dx.doi.org/10.3390/cancers15030564
,2023, 'OC-0944 Dosimetric impact of auto-mapping heart contour and motion uncertainty in lung cancer radiotherapy', Radiotherapy and Oncology, 182, pp. S792 - S793, http://dx.doi.org/10.1016/s0167-8140(23)08770-4
,2023, 'PD-0158 Cardiac dose and survival in stereotactic lung radiotherapy: results of multi-centre SSBROC trial', Radiotherapy and Oncology, 182, pp. S119 - S120, http://dx.doi.org/10.1016/s0167-8140(23)08802-3
,2023, 'PO-1236 Systematic review of the methodological conduct of Head and Neck SCC outcome prediction models', Radiotherapy and Oncology, 182, pp. S989 - S991, http://dx.doi.org/10.1016/s0167-8140(23)09233-2
,2023, 'PO-1633 Clinical evaluation of deep learning-based nodal structures segmentation for gynecological cancers', Radiotherapy and Oncology, 182, pp. S1329 - S1330, http://dx.doi.org/10.1016/s0167-8140(23)66548-x
,2023, 'PO-1696 Pydicer: An open-source tool for conversion and analysis of radiotherapy imaging data', Radiotherapy and Oncology, 182, pp. S1407 - S1408, http://dx.doi.org/10.1016/s0167-8140(23)66611-3
,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, 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, 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
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