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You searched for: Author/Creator Beyea, Steven D.

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1. Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images. (October 2021)

2. Mapping of fatty acid composition with free‐breathing MR spectroscopic imaging and compressed sensing. (3rd January 2020)

3. Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study. (July 2019)