STFX COMPUTER SCIENCE PROFESSOR

A paper that StFX computer science professor Dr. Jacob Levman co-authored on sample size considerations in machine learning applied to medical imaging has gained national acclaim, receiving e Editor’s Award of the Canadian Association of Radiologists Journal. e paper is co-authored with Dr. Pascal Tyrrell of the University of Toronto. Dr. Levman says he was pleased and surprised by the national award. “I had already noticed that despite the paper being quite recent it was already been cited on a regular basis, but I wasn’t expecting it to receive top honours from a strong journal.” eir paper, ‘Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review,’ looks at the scienti c literature to assess sample size determination methods (i.e., how many samples do you need for your given application), for machine learning applied to medical imaging. It demonstrates that this area of research has a paucity of studies devoted thereto, says Dr. Levman who hopes this work will spur additional interest among the machine learning applied to medical imaging research community towards contributing to higher standards for developing reliable machine learning technology for medical applications. Dr. Levman and Dr. Tyrrell have also founded the Real-mi initiative (https://www.real-mi.org/), an e ort towards establishing high standards in reproducibility and explainability in machine learning applied to medical imaging.