20 citations · 44 across the 6 of their papers we have counts for
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eess.IV2022★ 5 cited
Improving the repeatability of deep learning models with Monte Carlo dropout
Andreanne Lemay, Katharina Hoebel, Christopher P. Bridge +7
The integration of artificial intelligence into clinical workflows requires reliable and robust models. Repeatability is a key attribute of model robustness. Repeatable models outp…
eess.IV2020★ 3 cited
"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT
Giorgio Pietro Biondetti, Romane Gauriau, Christopher P. Bridge +2
As interest in applying machine learning techniques for medical images continues to grow at a rapid pace, models are starting to be developed and deployed for clinical applications…