Research groups
Katherine Vallis
Professor of Experimental Radiotherapeutics
- Group Leader, Oxford Institute for Radiation Oncology
- Honorary Consultant in Clinical Oncology, Oxford University Hospitals NHS Foundation Trust
Research Summary
Our research focus is on understanding and exploiting the biological effects of external beam ionizing radiation and therapeutic radionuclides in solid tumours (breast, lung, pancreas, oesophageal and colorectal cancers among others).
Biography
Katherine undertook specialist training in Clinical Oncology at the Hammersmith Hospital and doctoral research at Edinburgh University. In 1995 she was appointed as Staff Radiation Oncologist at the Princess Margaret Hospital and Scientist at the Ontario Cancer Institute, Toronto. She returned to the UK in 2006 to join the Oxford Institute for Radiation Oncology and established the Experimental Radiotherapeutics Group.
GROUP MEMBERS
Dongxiao Yang, Postdoctoral Researcher
Paige Street, Postdoctoral Researcher
Joao Lourenco, DPhil Student/EU MC ESR
Siqi Li, Oncology DPhil student
Yi-Jhih Huang, Oncology DPhil Student
Yang-Hong Dai, Oncology DPhil Student
Mark Macsuka, Oncology DPhil Student (Clarendon Scholar)
Mia Dobbing, Radation Biology/Oncology MSc/DPhil Student
Stan Fayn, DPhil Student (NIH OxCam)
Matt Dean, Cancer Sciences DPhil Student (Primary supervisor: Pawel Swietach)
Recent publications
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A Meta-analysis and Meta-regression of Efficacy, Toxicity and Quality of Life Outcomes Following Lutetium-177– and Actinium-225–PSMA Radioligand Therapy in Metastatic Prostate Cancer
Journal article
Dai Y-H. et al, (2024), European Urology
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Deep Learning-Assisted interactive contouring of lung Cancer: Impact on contouring time and consistency.
Journal article
Trimpl MJ. et al, (2024), Radiother Oncol
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Dietary fibre supplementation enhances radiotherapy tumour control and alleviates intestinal radiation toxicity.
Journal article
Then CK. et al, (2024), Microbiome, 12
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Paired Diffusion: Generation of related, synthetic PET-CT-Segmentation scans using Linked Denoising Diffusion Probabilistic Models.
Journal article
Bradbury R. et al, (2024), CoRR, abs/2403.17734
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Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces
Conference paper
Duckworth P. et al, (2023), Frontiers in Artificial Intelligence and Applications, 372, 590 - 597