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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                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 
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                Ectopic, intra-thyroid parathyroid adenoma better visualised by deep learning enhanced choline PET/CT.Journal article Bradley KM. et al, (2025), QJM 
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                Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracersJournal article Mehranian A. et al, (2025), European Journal of Nuclear Medicine and Molecular Imaging 
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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 
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                Translation of PET radiotracers for cancer imaging: recommendations from the National Cancer Imaging Translational Accelerator (NCITA) consensus meeting.Journal article McAteer MA. et al, (2025), BMC Med, 23 
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                Development of a method to use standard hospital gamma cameras as triage whole body monitors in UK emergencies.Journal article Simpson M. et al, (2024), J Radiol Prot 
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                On Biases in a UK Biobank-based Retinal Image Classification Model
            
            
                Preprint Alloula A. et al, (2024) 
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                Data-driven gating (DDG)-based motion match for improved CTAC registration.Journal article Cook EL. et al, (2024), EJNMMI Phys, 11 
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                The British nuclear medicine research strategy - the framework.Journal article Dizdarevic S. et al, (2024), Nucl Med Commun, 45, 347 - 351 
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                Sequential deep learning image enhancement models improve diagnostic confidence, lesion detectability, and image reconstruction time in PET.Journal article Dedja M. et al, (2024), EJNMMI Phys, 11 


 
                            