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20172023
most citedA systematic study of the class imbalance problem in convolutional neural networks

3.1k citations · 4k across the 20 of their papers we have counts for

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eess.IV2023

Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images

Nicholas Konz, Maciej A. Mazurowski

The image acquisition parameters (IAPs) used to create MRI scans are central to defining the appearance of the images. Deep learning models trained on data acquired using certain p…

eess.IV2023★ 15 cited

Deep Learning for Breast MRI Style Transfer with Limited Training Data

Shixing Cao, Nicholas Konz, James Duncan +1

In this work we introduce a novel medical image style transfer method, StyleMapper, that can transfer medical scans to an unseen style with access to limited training data. This is…