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Australasian Physical & Engineering Sciences in Medicine|June 9, 2018
Estimation of Hounsfield unit conversion parameters for pelvic CT imagesAngel Kennedy, Jason Dowling, Peter B Greer, et al.
Medical Physics|March 20, 2019
Similarity clustering-based atlas selection for pelvic CT image segmentationAngel Kennedy, Jason Dowling, Peter B Greer, et al.
Australasian Physical & Engineering Sciences in Medicine|November 22, 2014
An open source automatic quality assurance (OSAQA) tool for the ACR MRI phantomJidi Sun, Michael Barnes, Jason Dowling, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|July 3, 2016
Independent external validation of predictive models for urinary dysfunction following external beam radiotherapy of the prostate: Issues in model development and reportingNoorazrul Yahya, Martin A Ebert, Max Bulsara, et al.
Australasian Physical & Engineering Sciences in Medicine|November 16, 2016
Multi-atlas and unsupervised learning approach to perirectal space segmentation in CT imagesSoumya Ghose, James W Denham, Martin A Ebert, et al.
European Journal of Radiology|January 3, 2019
Characterization of prostate cancer using diffusion tensor imaging: A new perspectiveNeda Gholizadeh, Peter B Greer, John Simpson, et al.
Frontiers in Oncology|October 22, 2019
Bulk Anatomical Density Based Dose Calculation for Patient-Specific Quality Assurance of MRI-Only Prostate RadiotherapyJae Hyuk Choi, Danny Lee, Laura O'Connor, et al.
Cancers|October 13, 2021
Biologically Targeted Radiation Therapy: Incorporating Patient-Specific Hypoxia Data Derived from Quantitative Magnetic Resonance ImagingEmily J Her, Annette Haworth, Yu Sun, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|July 12, 2015
Dosimetry, clinical factors and medication intake influencing urinary symptoms after prostate radiotherapy: An analysis of data from the RADAR prostate radiotherapy trialNoorazrul Yahya, Martin A Ebert, Max Bulsara, et al.
Medical Physics|May 6, 2016
Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: A comparison of conventional and machine-learning methodsNoorazrul Yahya, Martin A Ebert, Max Bulsara, et al.
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