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3D deep-learning image reconstruction for fast spin-echo triple-echo Dixon images acquired with flexible echo-spacing (FTED-Flex)

Deep learning models for predicting responses to neoadjuvant systemic therapy in triple-negative breast cancer using pre-treatment MRI

Prediction of Neoadjuvant Systemic Treatment Response in Triple-Negative Breast Cancer Using a 3D Neural Network on Synthetic MR Images

Radiomics and Background Parenchymal Enhancement of Fibroglandular Tissue for Predicting Treatment Response in Triple-Negative Breast Cancer