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 imaging technologies for healthcare and broader scientific applications.

Our recent work includes deep learning-based low-dose CT denoising, metal artifact reduction, task-based image quality evaluation using model observers, novel x-ray imaging systems, and medical image analysis such as segmentation and detection.