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
Magnetic resonance in medicine. 2024 May; 91(5):1803-1821
Journal of the mechanical behavior of biomedical materials. 2023 Jul; 143:105921
Journal of hypertension. 2023 Jan 01; 41(1):35-43
Journal of digital imaging. 2022 Dec; 35(6):1662-1672
Neuroimage. 2022 Nov 08; 119743
Scientific reports. 2022 Oct 17; 12(1):17106
Journal of clinical medicine. 2022 Apr 01; 11(7):
Fluids & barriers of the CNS. 2022 Mar 14; 19(1):21