Faculty profile
Thomas Purdie
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Read how they describe their research on their University of Toronto profile.
Latest papers
A Prospective Study of Machine Learning-Assisted Radiation Therapy Planning for Patients Receiving 54 Gy to the Brain.
International journal of radiation oncology, biology, physics · 2024
A pilot study of machine-learning based automated planning for primary brain tumours.
Radiation oncology (London, England) · 2022
Magnetic Resonance Imaging for Breast Tumor Bed Delineation: Computed Tomography Comparison and Sequence Variation.
Advances in radiation oncology · 2021
Latest funding
- $105,000
Improving Adaptive Radiation Therapy Efficiency with Machine Learning Treatment Planning
CIHR · 2022 · Supervisor
- $102,000
Machine Learning Assisted Decision Support Platform for Radiation Treatment Assessment
NSERC · 2022 · Principal investigator
- $711,450
Clinical Deployment of an End-to-End Artificial Intelligence (AI)-only Radiotherapy Treatment Planning and Decision Support Workflow
CIHR · 2022 · Nominated PI
6 publications.
A Prospective Study of Machine Learning-Assisted Radiation Therapy Planning for Patients Receiving 54 Gy to the Brain.
Tsang DS, Tsui G, Santiago AT, Keller H, Purdie T, Mcintosh C, Bauman G, La Macchia N, Parent A, Dama H, Ahmed S, Laperriere N, Millar BA, Liu V, Hodgson DC
A pilot study of machine-learning based automated planning for primary brain tumours.
Tsang DS, Tsui G, McIntosh C, Purdie T, Bauman G, Dama H, Laperriere N, Millar BA, Shultz DB, Ahmed S, Khandwala M, Hodgson DC
Magnetic Resonance Imaging for Breast Tumor Bed Delineation: Computed Tomography Comparison and Sequence Variation.
Lowrey N, Koch CA, Purdie T, Simeonov A, Conroy L, Han K
The Role of Partial Breast Radiation in the Previously Radiated Breast.
Korzets Y, Lee G, Espin-Garcia O, Purdie T, Koch AC, Hodgson D, Barry A, Fyles A
Lung sparing and dose escalation in a robust-inspired IMRT planning method for lung radiotherapy that accounts for intrafraction motion.
McCann C, Purdie T, Hope A, Bezjak A, Bissonnette JP
Stereotactic body radiotherapy for medically inoperable lung cancer: prospective, single-center study of 108 consecutive patients.
Taremi M, Hope A, Dahele M, Pearson S, Fung S, Purdie T, Brade A, Cho J, Sun A, Bissonnette JP, Bezjak A
Improving Adaptive Radiation Therapy Efficiency with Machine Learning Treatment Planning
Principal investigators: Khalifa, Aly
Keywords: Adaptive Radiation Therapy; Automation; Image Guided Therapy; Machine Learning; Magnetic Resonance Imaging; Medical Physics; Personalized Medicine; Prostate Cancer; Radiation Therapy; Treatment Planning
Machine Learning Assisted Decision Support Platform for Radiation Treatment Assessment
Principal investigators: Purdie, Thomas
Clinical Deployment of an End-to-End Artificial Intelligence (AI)-only Radiotherapy Treatment Planning and Decision Support Workflow
Principal investigators: Purdie, Thomas G; Berlin, Alejandro; Mcintosh, Christopher J
Keywords: Artificial Intelligence; Automation; Decision Support; Image Segmentation; Machine Learning; Medical Physics; Radiation Oncology; Radiation Therapy; Treatment Planning
Towards a low-cost, optimized proton therapy accelerator
Principal investigators: Seuntjens, Jan P; Hodgson, David C; Parodi, Katia; Pechlivanoglou, Petros
Keywords: Beam Physics; Cancer Therapy; Compact Ion Accelerator; Health-Economic Implications; Medical Device; Power Electronics; Proton Therapy; Radiation Physics; Radiation Secondary Effects And Risk; Radiation Therapy
Development and comparison of radiomics models for prognosis and monitoring
Principal investigators: Haibe-Kains, Benjamin; Hope, Andrew J
Keywords: Biomarker; Cancer; Computer Vision; Deep Learning; Image Analysis; Prognosis; Radiomics
Advancing Personalized Cancer Care with an Automated Radiomics-Based Radiation Therapy Method
Principal investigators: Purdie, Thomas
Advancing Personalized Cancer Care with an Automated Radiomics-Based Radiation Therapy Method
Principal investigators: Purdie, Thomas G; Chan, Timothy; Ward, Aaron
Keywords: 1101 Human Health; 1211 Medical And Health Sciences; 2603 Computer Vision; 2715 Optimization; Automation; Knowledge-Based Radiation Treatment Planning; Medical Image Analysis; Medical Physics; Personalized Cancer Medicine; Radiation Oncology
Improving quality and patient safety in radiation therapy by integrating multi-disciplinary criteria into an artificial intelligence system
Principal investigators: Purdie, Thomas
Improving Quality and Patient Safety in Radiation Therapy by Integrating Multi-Disciplinary Criteria into an Artificial Intelligence System
Principal investigators: Purdie, Thomas G; Jurisica, Igor
Keywords: 1211 Medical And Health Sciences; 2603 Computer Vision; 2605 Pattern Analysis And Machine Intelligence; 2804 Expert Systems; 9000 Health Sciences; Automation; Medical Physics; Patient Safety; Quality Assurance; Radiation Oncology
ARRT: Adaptive and Robust Radiation Therapy treatment planning for lung cancer
Principal investigators: Chan, Timothy
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Thomas Purdie and Glenn Bauman: 2 shared papers
- Thomas Purdie and Andrew Hope: 2 shared papers
- Thomas Purdie and Chris McIntosh: 2 shared papers
- Glenn Bauman and Chris McIntosh: 2 shared papers
- Andrew Hope and Chris McIntosh: 2 shared papers
- Thomas Purdie and Kathy Han: 1 shared paper
- Thomas Purdie and David Hodgson: 1 shared paper
- Department of Radiation Oncology
- Radiation Oncology
- Department of Medical Biophysics
- Clinical Pharmacology
- Other
Co-authors at University of Toronto, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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Profile data last refreshed on September 25, 2026 from the university directory, publication records and CIHR, NSERC and SSHRC funding.