We focus on multiple aspects of biomedical imaging—ranging from data acquisition to image reconstruction, enhancement, and quality assessment. Our research spans areas such as medical physics, computational imaging, and machine learning to advance technologies for imaging and healthcare.

In particular, our recent work includes, but is not limited to inverse problems in computed tomography (denoising, restoration, etc.), image quality evaluation (Fourier-based metrics, model observers), development of novel X-ray imaging systems, and applications of AI for medicine and science.