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- 2023
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Mark
Women’s experience of the health information process involving a digital information tool before commencing radiation therapy for breast cancer : a deductive interview study
(
- Contribution to journal › Article
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Mark
Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapy
(
- Contribution to journal › Article
- 2022
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Mark
Pelvic U-Net : multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network
(
- Contribution to journal › Article
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Mark
Robustness Assessment of Images From a 0.35T Scanner of an Integrated MRI-Linac : Characterization of Radiomics Features in Phantom and Patient Data
(
- Contribution to journal › Article
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Mark
Research Paper Impact of combining vitamin C with radiation therapy in human breast cancer : Does it matter?
(
- Contribution to journal › Article
- 2021
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Mark
Tissue response of radiation therapy assessed by electrical impedance spectroscopy (EIS) in subcutaneous tumours in rats.
(
- Contribution to journal › Article
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Mark
A deeply supervised convolutional neural network ensemble for multilabel segmentation of pelvic OARs
2021) European Society Radiation Oncology 2021 In Radiotherapy and Oncology 161(Suppl 1). p.1417-1418(
- Contribution to journal › Published meeting abstract
- 2018
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Mark
Potential biomedical use of diode-laser-induced luminescence from upconverting nanoparticles
2018) p.291-330(
- Chapter in Book/Report/Conference proceeding › Book chapter
- 2017
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Mark
Registration free automatic identification of gold fiducial markers in MRI target delineation images for prostate radiotherapy
(
- Contribution to journal › Article
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Mark
Intensity-based dual model method for generation of synthetic CT images from standard T2-weighted MR images - Generalized technique for four different MR scanners
(
- Contribution to journal › Article