Research groups
Colleges
Daniel McGowan
DPhil FAHCS FBIR FHEA FIPEM
Associate Professor
- Course Director, MSc in Medical Physics with Radiobiology
- Head of Education and Research, Dept Medical Physics and Clinical Engineering, OUH
Summary
Daniel McGowan is an Associate Professor in the Department of Oncology. He is Course Director on the department’s MSc in Medical Physics with Radiobiology. He runs the short option in Medical Physics for the University Department of Physics.
He is Head of Research and Education, Consultant Clinical Scientist in the Department of Medical Physics and Clinical Engineering at Oxford University Hospitals NHS Foundation Trust where he is a Medical Physics Expert and Radioactive Waste Adviser.
He is a Fellow of the Academy for Healthcare Science, British Institute of Radiology, Institute of Physics and Engineering in Medicine, and Higher Education Academy. He is an Honorary Senior Research Fellow in the School of Medicine, Cardiff University. He has been a member of the British Institute of Radiology Education Committee and Nuclear Medicine and Molecular Imaging Committee since 2013, chair of the NM committee since 2021. He was Co-Chair of the UK Internal Dosimetry Users Group (IDUG) 2011-2013 (co-founder) and has served as Emeritus Chair since 2014.
He obtained his undergraduate degree in Physics at Oxford, a postgraduate degree in Radiation Physics at UCL and a DPhil in Oncology at Oxford.
Recent publications
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Specialised or Generic? Tokenization Choices for Radiology Language Models
Conference paper
Warr H. et al, (2026), Lecture Notes in Computer Science, 16146 LNCS, 62 - 70
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Smartphone-based prediction of dopaminergic deficit in prodromal and manifest Parkinson's disease.
Journal article
Gunter KM. et al, (2025), NPJ Digit Med, 8
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Leveraging Large Language Models to Direct Automated PET/CT Tumour Segmentation in Retrospective Data: an Agentic Framework Method
Preprint
Bonney LM. et al, (2025)
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Acceptability of a virtual tour for anxiety alleviation in PET-CT - A pilot study.
Journal article
Barnard MA. et al, (2025), Radiography (Lond), 32
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Biomolecular tracking by FIRESCAPE reveals distinct modes of clearance, damage induction and cellular uptake for extracellular histone H3
Preprint
Josephson B. et al, (2025)
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Deep learning image enhancement algorithms in PET/CT imaging: a phantom and sarcoma patient radiomic evaluation.
Journal article
Bonney LM. et al, (2025), Eur J Nucl Med Mol Imaging, 52, 3266 - 3277
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Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers.
Journal article
Mehranian A. et al, (2025), Eur J Nucl Med Mol Imaging, 52, 2968 - 2978
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Ectopic, intra-thyroid parathyroid adenoma better visualized by deep learning enhanced choline PET/CT.
Journal article
Bradley KM. et al, (2025), QJM, 118, 466 - 467
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A novel fast strategy to calculate equieffective doses under different dose rate conditions.
Journal article
Macsuka MJ. et al, (2025), Med Phys, 52, 3416 - 3427
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Phantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levels.
Journal article
Bonney LM. et al, (2025), EJNMMI Phys, 12

