About Camila González
I research the effects that distribution shifts on CT and MRI, such as those produced by a change in scanner, have on the robustness of deep learning models. I am mainly interested in detecting when these variations happen through a product's lifespan, and in ensuring that the performance remains stable over time. My broader goal is to facilitate the use of deep learning models for segmentation and classification/detection in clinical multi-institutional settings.
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