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

Predicting the response of I-SPY 2 breast cancer patients to treatment using a biology-based mathematical model calibrated with quantitative MRI

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

Propeller Diffusion-Weighted Imaging of Endometrial Cancer with Deep Learning Reconstruction

Short Supine Breast Magnetic Resonance Imaging to Assess Preoperative Breast Radiotherapy Boost Targets