Osteoarthritis is a complex whole-organ disorder that involves molecular, anatomic, and
physiologic derangement. Advances in imaging techniques have expanded the role of …

Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic
resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides …

While musculoskeletal imaging volumes are increasing, there is a relative shortage of
subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence …

Knee effusion is a common comorbidity in osteoarthritis. To quantify the amount of effusion,
semi quantitative assessment scales have been developed that classify fluid levels on an …

The purpose of this study is to investigate feasibility of estimating the specific absorption rate
(SAR) in MRI in real time. To this goal, SAR maps are predicted from 3T-and 7T-simulated …

Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic
resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides …

Objective. r T1 mapping is a promising quantitative MRI technique for the non-invasive
assessment of tissue properties. Learning-based approaches can map r T1 from a reduced …

Osteoarthritis (OA) affects more than 500 millions people worldwide and places an
enormous economic and medical burden on patients and healthcare systems. The knee is …

Quantitative T1rho imaging is a promising technique for assessment of chronic liver disease.
The standard approach requires acquisition of multiple T1rho-weighted images of the liver to …

Paul H. Yi, MD, was a musculoskeletal radiology fellow at Johns Hopkins Hospital and is
affiliate faculty at the Malone Center for Engineering in Healthcare. His research focuses on …