This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Calgary directory, so their courses and email address may be missing. Find their university profile.
Latest papers
Development of a machine learning tool to predict deep inspiration breath hold requirement for locoregional right-sided breast radiation therapy patients.
Biomedical physics & engineering express · 2025
Report from the 25th Annual Western Canadian Gastrointestinal Cancer Consensus Conference on Gastric and Gastroesophageal Cancers, Winnipeg, Manitoba, 26-27 October 2023.
Current oncology (Toronto, Ont.) · 2024
In Silico Single-Fraction Stereotactic Ablative Radiation Therapy for the Treatment of Thoracic and Abdominal Oligometastatic Disease With Online Adaptive Magnetic Resonance Guidance.
Advances in radiation oncology · 2021 · first author
Latest funding
- $100,000
Deep Learning Tool for Opportunistic Fracture Risk Prediction using Radiotherapy Planning CTs
CIHR · 2026 · Nominated PI
3 publications.
Development of a machine learning tool to predict deep inspiration breath hold requirement for locoregional right-sided breast radiation therapy patients.
Barrett F, Quirk S, Stenhouse K, Long K, Roumeliotis M, Lee S, Souza R, McGeachy P
Report from the 25th Annual Western Canadian Gastrointestinal Cancer Consensus Conference on Gastric and Gastroesophageal Cancers, Winnipeg, Manitoba, 26-27 October 2023.
Wong R, Anderson B, Bashir B, Bateman J, Chalchal H, Davies J, Dehmoobed A, Geller G, Ghose A, Gill S, Gordon V, Green S, Hebbard P, Iqbal M, Ji S, Karachiwala H, Kidane B, Kim C, Kosyachkova E, Krahn M, Krishnan T, Kristjanson M, Lee S, Lee-Ying R, Lelond S, Liu HW, Meyers D, Mulder K, Paul J, Planincic E
In Silico Single-Fraction Stereotactic Ablative Radiation Therapy for the Treatment of Thoracic and Abdominal Oligometastatic Disease With Online Adaptive Magnetic Resonance Guidance.
Lee S, Yadav P, van der Kogel AJ, Bayouth J, Bassetti MF
Deep Learning Tool for Opportunistic Fracture Risk Prediction using Radiotherapy Planning CTs
Principal investigators: Lee, Sangjune L
Keywords: Breast Cancer; Deep Learning; Opportunistic Evaluation; Osteoporotic Fracture; Survivorship
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
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