338 citations
- University of OttawaCA7 papers
- Ottawa Hospital Research InstituteCA5 papers
- Charité - Universitätsmedizin BerlinDE2 papers
- Children's Hospital of Eastern OntarioCA2 papers
- McMaster UniversityCA2 papers
- Université de MontréalCA2 papers
- University of WashingtonUS2 papers
- University of Wisconsin HealthUS2 papers
- University of Wisconsin–MadisonUS2 papers
- Yale UniversityUS2 papers
- Alberta Machine Intelligence InstituteCA1 paper
- BruyèreCA1 paper
9 papers
Fluid-Agent Reinforcement Learning
Shishir Sharma, Doina Precup, Theodore J. Perkins
The primary focus of multi-agent reinforcement learning (MARL) has been to study interactions among a fixed number of agents embedded in an environment. However, in the real world,…
Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless +22
Prognostic information is essential for decision-making in breast cancer management. Recently trials have predominantly focused on genomic prognostication tools, even though clinic…
Synthetic Data Generation for Augmenting Small Samples
Dan Liu, Samer El Kababji, Nicholas Mitsakakis +6
Small datasets are common in health research. However, the generalization performance of machine learning models is suboptimal when the training datasets are small. To address this…
A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
Mary Ryan Baumann, Monica Taljaard, Patrick J. Heagerty +4
Cluster-randomized trials (CRTs) are a well-established class of designs for evaluating community-based interventions. An essential task in planning these trials is determining the…
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint
Mary Ryan Baumann, Denise Esserman, Monica Taljaard +1
Stepped wedge cluster randomized trials (SW-CRTs) are a form of randomized trial whereby clusters are progressively transitioned from control to intervention, with the timing of tr…
Validation of 4D Monte Carlo dose calculations using a programmable deformable lung phantom
Sara Gholampourkashi, Joanna E. Cygler, Bernie Lavigne +1
Purpose: To validate the accuracy of 4D Monte Carlo (4DMC) simulations to calculate dose deliveries to a deforming anatomy in the presence of realistic respiratory motion traces. A…