Professor, Department of Radiology
Professor, Department of Psychiatry
The rapid improvement of high-resolution MR, CT, and PET imaging has expanded our knowledge of the structure and function of the human body. With novel images analysis methods, we can achieve a deeper understanding of normal and diseased states.
Our main goal is to develop innovative image analysis and modeling tools to support clinical research studies. This is achieved by multidisciplinary collaboration between basic scientists, engineers, and physicians.
Here are some of our areas of interest:
• the development of compartmental models based on dynamic MR/PET/CT imaging
• image coregistration and segmentation algorithms
• the analysis of image texture
AJNR. American journal of neuroradiology. 2021 Jan; 42(1):88-93
Scientific reports. 2020 11 27; 10(1):20764
Abdominal radiology. 2020 Aug 03;
Journal of neuroimaging. 2020 Jan; 30(1):126-133
Hypertension. 2019 Jan; 73(1):197-205
Scientific reports. 2019; 9:
Magnetic resonance imaging. 2018 10; 52:16-23