Comprehensive dose evaluation of a Deep Learning based synthetic Computed Tomography algorithm for pelvic Magnetic Resonance-only radiotherapy
2023 · Radiotherapy and Oncology · 18 citations
https://doi.org/10.1016/j.radonc.2023.109692
R
R. Pearson
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R. Pearson is an academic researcher from Newcastle upon Tyne Hospitals NHS Foundation Trust. The author has contributed to research in topics: Advanced Radiotherapy Techniques & Radiomics and Machine Learning in Medical Imaging & Medical Imaging Techniques and Applications. The author has an h-index of 10, co-authored 52 publications.
ORCID: 0000-0002-7822-5037Papers by this author
worksCone beam computed tomography for dose calculation quality assurance for magnetic resonance-only radiotherapy
2021 · Physics and Imaging in Radiation Oncology · 9 citations
https://doi.org/10.1016/j.phro.2021.01.005
Evaluating a radiotherapy deep learning synthetic CT algorithm for PET-MR attenuation correction in the pelvis
2024 · EJNMMI Physics · 6 citations
https://doi.org/10.1186/s40658-024-00617-3
From pelvic radiation to social isolation: a qualitative study of survivors’ experiences of chronic bowel symptoms after pelvic radiotherapy
2024 · Journal of Cancer Survivorship · 4 citations
https://doi.org/10.1007/s11764-023-01527-6
2967: A combined automatic MR OAR contouring and synthetic CT solution for prostate MR-only radiotherapy
2024 · Radiotherapy and Oncology · 0 citations
https://doi.org/10.1016/s0167-8140(24)03064-0
1967: Renal SABR: can the organ at risk position be assessed on the treatment CBCT?
2024 · Radiotherapy and Oncology · 0 citations
https://doi.org/10.1016/s0167-8140(24)02270-9
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