Brandon completed his Masters in Computer Science with a focus on Deep Learning in Critical Care Medicine in 2019. He completed is his undergraduate studies at Queen's University in Computer Science with a specialization in Biomedical Computing. His previous research experience in computer assisted surgical systems fostered his interest in the applications of technology in healthcare.
Generalizable deep temporal models for predicting episodes of sudden hypotension in critically ill patients: a personalized approach Journal Article
In: Scientific Reports, vol. 10, no. 1, pp. 1–10, 2020.
Automatic tissue classification in textured models: A novel approach to intraoperative integration of structured light scanning Conference
Informtion Processing for Computer-Aided Interventions (IPCAI). 2019, 2019.
Prediction of Patient-specific Acute Hypotensive Episodes in ICU Using Deep Models Proceeding
Predictive Modeling using Intensive Care Unit Data: Considerations for Data Pre-processing and Analysis Proceeding