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Deep Learning-based image reconstruction improves CEST MRI

Early prediction of pathologic complete response to neoadjuvant systemic therapy for triple-negative breast cancer using deep learning

Implementing ConvDecoder with physics-based regularization toreconstruct under-sampled variable-flip angle MRI data of the breast

Radiomics model based on MAGIC acquisition for predicting neoadjuvant systemic treatment response in triple-negative breast cancer.

T2-weighted Pelvic MR Imaging Using PROPELLER with Deep Learning Reconstruction for Improved Motion Robustness

The video domain transfer deep learning network with error correction for Dixon Imaging with consistent slice-to-slice water and fat separation