Objectives: To elaborate on the significance of enabling the automatic tube potential selection (ATPS) feature on Computed Tomography (CT) simulators. Furthermore, evaluate the effect of …
Hospital Picture Archiving and Communication Systems (PACS) are central medical imaging repositories. Traditional clinical and research workflows involve tedious, manual interaction with PACS to review …
The field of computer assisted radiology has recently seen an explosion of novel techniques that have been made possible due to advancements in computer algorithms. …
We seek to develop a suite of deep machine learning models to solve high-impact problems in medical data analysis and prediction. The projects will involve …
Development and implementation of machine and deep learning models has grown massively with increased availability of large datasets and improved computing capabilities. Despite this huge …
Radiology is central to the practice of modern medicine, but formal radiology education is limited in medical school curricula. Particularly, students do not learn about …
In current medical practice, an ultrasound guided, random needle biopsy of the liver is the gold standard in hepatic steatosis assessment. Ultrasound imaging is used …
Images of the human body generated via X-ray, Ultrasound, MRI, CT, PET, and histology are central to the process of diagnosing most patients, but there …
Objectives: ClearInfinity is a new Deep Learning based reconstruction for Neusoft CT Scanners. The goal is to assess the differences between ClearView, the iterative reconstruction …