The class imbalance problem in deep learning has been explored in severa...
Automated tumor detection in Digital Breast Tomosynthesis (DBT) is a
dif...
Training segmentation models for medical images continues to be challeng...
The image acquisition parameters (IAPs) used to create MRI scans are cen...
In Maples et al. (2018) we introduced Robust Chauvenet Outlier Rejection...
The manifold hypothesis is a core mechanism behind the success of deep
l...