In breast imaging, there is an unrelenting increase in the demand for breast imaging
services, partly explained by continuous expanding imaging indications in breast diagnosis …

Background For time‐consuming diffusion‐weighted imaging (DWI) of the breast, deep
learning‐based imaging acceleration appears particularly promising. Purpose To …

Rationale and Objectives To determine the impact on acquisition time reduction and image
quality of a deep learning (DL) reconstruction for accelerated diffusion-weighted imaging …

Deep learning (DL) reconstruction techniques to improve MR image quality are becoming
commercially available with the hope that they will be applicable to multiple imaging …

In recent years, there has been significant attention towards deep neural networks and they
are increasingly being applied to clinical practices. Medical imaging technology, biomedical …

Background In breast diffusion‐weighted imaging (DWI), distortion and physiologic artifacts
affect clinical interpretation. Image quality can be optimized by addressing the effect of …

Purpose Broader clinical adoption of breast magnetic resonance imaging (MRI) faces
challenges such as limited availability and high procedural costs. Low-field technology has …

Objective To perform image quality comparison between deep learning–based multiband
diffusion-weighted sequence (DL-mb-DWI), accelerated multiband diffusion-weighted …