The biggest fear when deploying machine learning models to the real world is their ability to
handle the new data. This problem is significant especially in medicine, where models
trained on rich high-quality data extracted from large hospitals do not scale to small regional
hospitals. One of the clinical challenges addressed in this work is magnetic resonance
image generalization for improved visualization and diagnosis of hip abnormalities such as
femoroacetabular impingement and dysplasia. Domain Generalization (DG) is a field in …

The biggest fear when deploying machine learning models to the real world is their ability to
handle the new data. This problem is significant especially in medicine, where models
trained on rich high-quality data extracted from large hospitals do not scale to small regional
hospitals. One of the clinical challenges addressed in this work is magnetic resonance
image generalization for improved visualization and diagnosis of hip abnormalities such as
femoroacetabular impingement and dysplasia. Domain Generalization (DG) is a field in …