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Computational science-enabled radiological pathology for the non-invasive mapping of tumour heterogeneity in childhood neuroblastoma
(Institute of Cancer Research (University Of London), 2021-01-31)
Neuroblastoma is a common childhood solid tumour that accounts for 15% of all cancer paediatric deaths. This thesis addresses key deficiencies in our ability to define, monitor and predict neuroblastoma heterogeneity for ...
Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning-based Denoising Image Filters.
(RADIOLOGICAL SOC NORTH AMERICA (RSNA), 2021-09-01)
PURPOSE: To use deep learning to improve the image quality of subsampled images (number of acquisitions = 1 [NOA1]) to reduce whole-body diffusion-weighted MRI (WBDWI) acquisition times. MATERIALS AND METHODS: Both ...