Author

Michael Jameson

Observed names: Jameson, Michael, Jameson, Michael G., M G Jameson, M Jameson, M. G. Jameson, M. Jameson, M.G. Jameson, Michael G. Jameson, Michael G Jameson, Michael G. Jameson, Michael Geoffrey Jameson

Institutions: University of Wollongong, UNSW Sydney, St Vincent's Hospital Sydney, St. Vincent's University Hospital, Ingham Institute, GenesisCare

Observed institutions: The University of Sydney, University of Wollongong, Liverpool Hospital, UNSW Sydney, St Vincent's Hospital Sydney, Institute of Nuclear Physics, Polish Academy of Sciences, St. Vincent's University Hospital, St Vincent's Clinic, Ingham Institute, South Western Sydney Local Health District, GenesisCare

ORCID: 0000-0003-4867-7670

Observed ORCID: 0000-0003-4867-7670

OpenAlex ID: A5014481486

Uncertainties in volume delineation in radiation oncology: A systematic review and recommendations for future studies

2016 · Shalini K. Vinod, Michael G. Jameson, et al. · Radiotherapy and Oncology · 350

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A review of interventions to reduce inter‐observer variability in volume delineation in radiation oncology

2016 · Shalini K Vinod, Myo Min, et al. · Journal of Medical Imaging and Radiation Oncology · 183

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A review of methods of analysis in contouring studies for radiation oncology

2010 · Michael G Jameson, Lois C Holloway, et al. · Journal of Medical Imaging and Radiation Oncology · 143

How important is dosimetrist experience for intensity modulated radiation therapy? A comparative analysis of a head and neck case

2012 · Vikneswary Batumalai, Michael G. Jameson, et al. · Practical Radiation Oncology · 103

Deep learning for segmentation in radiation therapy planning: a review

2021 · Gihan Samarasinghe, Michael Jameson, et al. · Journal of Medical Imaging and Radiation Oncology · 99

Applicability and usage of dose mapping/accumulation in radiotherapy

2023 · Martina Murr, Kristy K. Brock, et al. · Radiotherapy and Oncology · 95

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Machine learning applications in radiation oncology

2021 · Matthew Field, Nicholas Hardcastle, et al. · Physics and Imaging in Radiation Oncology · 89

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Automated post-operative brain tumour segmentation: A deep learning model based on transfer learning from pre-operative images

2021 · Mina Ghaffari, Gihan Samarasinghe, et al. · Magnetic Resonance Imaging · 45

Interobserver Variability in Clinical Target Volume Delineation in Tangential Breast Irradiation: a Comparison between Radiation Oncologists and Radiation Therapists

2010 · V. Batumalai, E.S. Koh, et al. · Clinical Oncology · 45

Correlation of contouring variation with modeled outcome for conformal non-small cell lung cancer radiotherapy

2014 · Michael G. Jameson, Shivani Kumar, et al. · Radiotherapy and Oncology · 43

An international survey on the clinical use of rigid and deformable image registration in radiotherapy

2020 · Johnson Yuen, Jeffrey Barber, et al. · Journal of Applied Clinical Medical Physics · 39

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Deforming to Best Practice: Key considerations for deformable image registration in radiotherapy

2020 · Jeffrey Barber, Johnson Yuen, et al. · Journal of Medical Radiation Sciences · 37

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Quantification of cardiac subvolume dosimetry using a 17 segment model of the left ventricle in breast cancer patients receiving tangential beam radiotherapy

2018 · Simon Tang, James Otton, et al. · Radiotherapy and Oncology · 37

Survey of image‐guided radiotherapy use in Australia

2016 · Vikneswary Batumalai, Lois Charlotte Holloway, et al. · Journal of Medical Imaging and Radiation Oncology · 36

Multi‐observer contouring of male pelvic anatomy: Highly variable agreement across conventional and emerging structures of interest

2019 · Dale Roach, Lois C Holloway, et al. · Journal of Medical Imaging and Radiation Oncology · 35

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A Multi-center Prospective Study for Implementation of an MRI-Only Prostate Treatment Planning Workflow

2019 · Peter Greer, Jarad Martin, et al. · Frontiers in Oncology · 33

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3D printed phantoms mimicking cortical bone for the assessment of ultrashort echo time magnetic resonance imaging

2017 · Robba Rai, David Manton, et al. · Medical Physics · 32

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Early experience with MR‐guided adaptive radiotherapy using a 1.5 T MR‐Linac: First 6 months of operation using adapt to shape workflow

2021 · Jeremiah de Leon, David Crawford, et al. · Journal of Medical Imaging and Radiation Oncology · 28

Segmental Cardiac Radiation Dose Determines Magnitude of Regional Cardiac Dysfunction

2021 · Siddharth J. Trivedi, Simon Tang, et al. · Journal of the American Heart Association · 26

Cautiously optimistic: A survey of radiation oncology professionals’ perceptions of automation in radiotherapy planning

2020 · Vikneswary Batumalai, Michael G. Jameson, et al. · Technical Innovations & Patient Support in Radiation Oncology · 23

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A prospective study of weekly intensity modulated radiation therapy plan adaptation for head and neck cancer: improved target coverage and organ at risk sparing

2018 · F. Aly, A. A. Miller, et al. · Australasian Physical & Engineering Sciences in Medicine · 23

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

2023 · Yuvnik Trada, Paul Keall, et al. · European Radiology · 20

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Contour variation is a primary source of error when delivering post prostatectomy radiotherapy: Results of the Trans‐Tasman Radiation Oncology Group 08.03 Radiotherapy Adjuvant Versus Early Salvage (RAVES) benchmarking exercise

2019 · Kirrily Cloak, Michael G Jameson, et al. · Journal of Medical Imaging and Radiation Oncology · 20

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Comparison of four dimensional computed tomography and magnetic resonance imaging in abdominal radiotherapy planning

2018 · Andrew Oar, Gary Liney, et al. · Physics and Imaging in Radiation Oncology · 20

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Optimising the MR‐Linac as a standard treatment modality

2023 · Jeremy de Leon, Tania Twentyman, et al. · Journal of Medical Radiation Sciences · 19

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Works count: 121

Citation count: 2,045

H-index: 21

I10-index: 47