Rhodri Smith, PhD, Msc, Bsc
Personal Website: https://scholar.google.com/citations?user=N0MUAJAAAAAJ&hl=en
Contact
Faculty of Medicine & Dentistry - Radiology & Diagnostic Imaging Dept
- rhodri@ualberta.ca
Overview
Area of Study / Keywords
Medical Physics Medical Imaging Dosimetry Artificial Intelligence Machine Learning Image Processing Image Quantification Survival Modelling Radiomics Pattern Recognition Deep Learning foundation models Radiation Shielding Design Clinical Science
About
Dr. Rhodri Smith is a Nuclear Medicine Physicist in Diagnostic Imaging (Alberta Health Services) and an Associate Professor in Radiology & Diagnostic Imaging at the University of Alberta. Clinically trained in the UK, he holds a PhD in medical imaging (Electronic Engineering). He has led PET Physics and Nuclear Medicine Physics services and clinically, he remains active in governance and advancing best practice in nuclear medicine physics.
Research
His research spans medical image processing, quantitative imaging and artificial intelligence, with particular interests in PET imaging, radiomics, generative AI and computational methods for improving image analysis and quantification.
PhD Opportunities
Dr Smith is currently accepting expressions of interest from prospective PhD students for 2027. A funded PhD opportunity is available in artificial intelligence and quantitative PET imaging, involving the development and application of advanced deep-learning and generative-AI methods using clinical and research imaging data.
Applicants with backgrounds in computer science, biomedical engineering, medical imaging, medical physics, or related quantitative disciplines are encouraged to apply. Strong programming and machine-learning experience is particularly desirable.
Submit an Expression of Interest
Teaching
Physics of Nuclear Medicine (Radiology Residents)
Physics of PET imaging (guest lecturer)
Announcements
Funded PhD Opportunity – 2027
Applications are invited for a funded PhD opportunity in Artificial Intelligence and Quantitative PET Imaging at the University of Alberta, commencing in 2027.
Candidates with backgrounds in computer science, biomedical engineering, medical imaging, medical physics, or related quantitative disciplines are encouraged to submit an expression of interest.
Featured Publications
Faye Warren, Stephen Paisey, Emiliano Spezi, Yu-kun Lai, Rhodri Smith
2026 January; 10.1007/978-3-031-98694-9_10
Marcin Balcerzyk, Marta Freire, Rubén Fernandez de la Rosa, Miguel Angel Pozo, Rhodri Lyn Smith, Gaspar Sanchez-Merino, Antonio Gonzalez
2025 August; 10.1101/2025.08.02.25332864
Rhodri Lyn Smith, Lee Bartley, Christopher O’Callaghan, Luiza Haberska, Chris Marshall
Biomedical Physics & Engineering Express. 2024 March; 10.1088/2057-1976/ad286c
Frontiers in Nuclear Medicine. 2023 January; 10.3389/FNUME.2023.1078536
ArXiv. 2023 January;
Quality of Life Research. 2023 January;
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. 2021 September;
Eur J Nucl Med Mol Imaging. 2021 September;
Google Play. 2021 January;
Radiotherapy and Oncology. 2020 November; 10.1016/s0167-8140(21)01586-3
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). 2020 October; 10.1109/nss/mic42677.2020.9507980
Eur J Nucl Med Mol Imaging. 2020 September;
Eur J Nucl Med Mol Imaging. 2019 October;
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). 2019 October; 10.1109/nss/mic42101.2019.9060031
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). 2019 October; 10.1109/nss/mic42101.2019.9059863
Using deep machine learning to detect esophageal lesions in PET-CT scans
2019 January;
Proceedings of SPIE - The International Society for Optical Engineering. 2019 January; 10.1117/12.2511738
Dense motion propagation from sparse samples
Physics in Medicine & Biology. 2019 January;
Stability of PET Radiomic Features: A Preclinical Study
2019 January;
Eur J Nucl Med Mol Imaging. 2019 January;
European Journal of Nuclear Medicine and Molecular Imaging. 2019 January;
Proceedings of IEEE Nuclear Science Symposium (NSS). 2019 January; 10.1109/NSS/MIC42101.2019.9059833
IEEE Transactions on Radiation and Plasma Medical Sciences. 2019 January; 10.1109/TRPMS.2018.2879441
A Kalman based approach with EM optimization for respiratory motion modelling in medical imaging
IEEE Transactions on Radiation and Plasma Medical Sciences. 2018 January;
Deep Learning Pre-Clinical Medical Image Segmentation for Automated Organ-Wise Delineation of PET
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. 2018 January;
HER3-Mediated Resistance to Hsp90 Inhibition Detected in Breast Cancer Xenografts by Affibody-Based PET Imaging
Clinical Cancer Research. 2018 January;
Motion Correction in Medical Imaging
2017 January;
Annual Congress of the European Association of Nuclear Medicine. 2016 October;
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). 2014 January; 10.1109/NSSMIC.2014.7430843
Proceedings of SPIE - The International Society for Optical Engineering. 2014 January; 10.1117/12.2044141
Motion estimation for nuclear medicine
SPIE. 2014 January;
IEEE Nuclear Science Symposium Conference. 2013 January; 10.1109/NSSMIC.2013.6829066
Extracting respiratory motion from 4D MRI using organ-wise registration
Medical Imaging 2013: Image Processing. 2013 January;
IEEE Nuclear Science Symposium Conference. 2013 January; 10.1109/NSSMIC.2013.6829294
IEEE Nuclear Science Symposium Conference. 2012 January; 10.1109/NSSMIC.2012.6551672
View additional publications
Research Students
Currently accepting undergraduate students for research project supervision.
Please email for undergraduate research project opportunities. For the current funded 2027 PhD opportunity in Artificial Intelligence and PET Imaging, please see the PhD Opportunities section of my profile and submit an Expression of Interest: https://forms.gle/aBBs3LdZrs54uj6c6