… intelligence, deep learning (DL) has attracted a lot of attention in the medical physics field
… First, we will provide an overview of the method to medical physics researchers interested in …

… the medical physicist as … medicine, it stands to reason that medical physicists are the most
appropriate member of the clinical team to lead this AI-driven digital revolution for the medical …

… It is our hope that this special issue will serve as a practical guide for medical physicists
interested in deploying machine/deep learning technologies in medicine, radiology, or radiation …

… Given the exponential growth of applications of AI, such as machine learning (ML) and
deep learning (DL) in all areas of medicine, which use ionizing radiation, ultrasounds, and …

… area of deep learning in medical imaging is … learning before and after the introduction
of deep learning, (2) what is the source of the power of deep learning, (3) two major deep-learning …

… To generate the fluence map images used for the deep learning analysis we created our
own fluence map calculator pipeline. In this fluence map calculator, we enhanced the possible …

… deep learning) applied to medical imaging for Healthcare were identified. The number of
all identified papers per year increased as shown in Fig. 1 according to the inclusion/exclusion …

… Big data and deep learning will profoundly change various areas of professions and …
This will also happen in medicine and medical imaging in particular. As medical physicists, we …

… The goals of this review paper on deep learning (DL) in medical imaging and radiation
therapy are to (a) summarize what has been achieved to date; (b) identify common and unique …

… medical physicists and engineers to reproduce, test and apply the proposed algorithms in
practice. For that purpose, we review articles focusing on what is relevant for medical physics …