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
Academic radiology. 2021 Dec; 28(12):1699-1708
European journal of radiology. 2021 Nov 15; 145:110031
Scientific reports. 2021 Nov 09; 11(1):21956
European journal of radiology. 2021 Oct 30; 145:110013
AJR. American journal of roentgenology. 2021 Sep 22; 1-9
Neuroradiology. 2021 Aug 20;
Abdominal radiology. 2021 Feb; 46(2):818-825
AJNR. American journal of neuroradiology. 2021 Jan; 42(1):88-93