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06/28/2023
A systematic study of the foreground-background imbalance problem in deep learning for object detection
The class imbalance problem in deep learning has been explored in severa...
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05/04/2023
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion
Automated tumor detection in Digital Breast Tomosynthesis (DBT) is a dif...
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04/20/2023
Segment Anything Model for Medical Image Analysis: an Experimental Study
Training segmentation models for medical images continues to be challeng...
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03/08/2023
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images
The image acquisition parameters (IAPs) used to create MRI scans are cen...
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01/19/2023
Robust Chauvenet Rejection: Powerful, but Easy to Use Outlier Detection for Heavily Contaminated Data Sets
In Maples et al. (2018) we introduced Robust Chauvenet Outlier Rejection...
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07/06/2022
