Tianle Wang

A foundation model for acute abdomen diagnosis stratification and triage on noncontrast computed tomography

A foundation model for non-contrast computed tomography, a multi-task AI system built on a self-supervised foundation model that detects 11 acute abdominal conditions and performs three risk-stratification subtasks from NCCT images is presented.

Feasibility of reducing radiation dose and contrast dose while improving image quality in dual-energy CT pulmonary angiography : Use of low-energy virtual monochromatic images with deep learning image reconstruction algorithm.