Deep-learning-based tomographic imaging is an important application of artificial
intelligence and a new frontier of machine learning. Deep learning has been widely used in …

Precision medicine is a new frontier in healthcare that uses scientific methods to customize
medical treatment to the individual genes, anatomy, physiology, and lifestyle of each person …

The accelerating complexity and variety of medical imaging devices and methods have
outpaced the ability to evaluate and optimize their design and clinical use. This is a …

Background The advancement of x‐ray CT into the domains of photon counting spectral
imaging and dynamic cardiac and perfusion imaging has created many new challenges and …

Objective. X-ray-based imaging modalities including mammography and computed
tomography (CT) are widely used in cancer screening, diagnosis, staging, treatment …

We present a method to generate synthetic thorax radiographs with realistic nodules from
CT scans, and a perfect ground truth knowledge. We evaluated the detection performance of …

Rationale and Objectives Deep silicon-based photon-counting CT (Si-PCCT) is an emerging
detector technology that provides improved spatial resolution by virtue of its reduced pixel …

Although tube current modulation (TCM) is routinely implemented in modern computed
tomography (CT) scans, no existing CT simulator is capable of generating realistic images …

To mitigate the challenges of operating through narrow incisions under image guidance,
there is a desire to develop intelligent systems that assist decision making and spatial …

Virtual clinical trials (VCT) have been developed by a number of groups to study breast
imaging applications, with the focus on digital breast tomosynthesis imaging. In this review …