Published 'Photon-Counting Micro-CT for Bone Morphometry in Murine Models' in Tomography, 2025, Vol. 11, No. 127.
Co-authored 'Network biomarkers of Alzheimer’s disease risk derived from joint volume and texture covariance patterns in mouse models' published in PLoS One, 2025, Vol. 20, No. 8.
Released 'Development of anatomically variable digital Wistar rat phantoms for small animal imaging research' in Medical Physics, 2025, Vol. 52, No. 8.
Authored 'Olfactory-Guided Behavior Uncovers Imaging and Molecular Signatures of Alzheimer’s Disease Risk', featured in Brain Sci., 2025, Vol. 15.
Proposed a novel denoising method applied to pediatric cardiac photon-counting CT data, 'Denoising pediatric cardiac photon-counting CT data with sparse coding and data-adaptive, self-supervised deep learning', also published in Medical Physics.
Research Experience
Plays a key role at Duke University's Quantitative Imaging & Analysis Lab, involved in multiple research projects such as using photon-counting CT to study bone aging processes in mouse models; developing anatomically variable digital Wistar rat phantoms for more realistic preclinical imaging simulations; exploring early biomarkers of Alzheimer's disease risk through olfactory-guided behavior; improving pediatric cardiac photon-counting CT image quality with adaptive AI denoising techniques, etc.
Background
Research interests include the application of photon-counting CT technology in medical imaging, particularly for the diagnosis and treatment of Alzheimer's disease, bone health, and heart diseases.
Miscellany
Welcomed visiting Fulbright Scholar Dr. Kristina Bliznakova to the team, collaborating on advancing photon-counting CT and virtual imaging technologies.