معرفی
Kurt Schilling is a Research Assistant Professor at Vanderbilt University, affiliated with both the Department of Electrical and Computer Engineering and the Vanderbilt Institute for Surgery and Engineering (VISE). He is a member of the Medical-image Analysis and Statistical Interpretation (MASI) Lab, working under the mentorship of Bennett Landman.
- PhD in Biomedical Engineering (2020), Vanderbilt University
- B.S. in Biomedical Engineering, University of Toledo
Research Interests focus on advanced MRI techniques for mapping brain microstructure and connectivity, particularly using diffusion MRI to study aging and neurodegenerative diseases. His work spans image acquisition, processing algorithms, and biomedical modeling to improve diagnostic accuracy and understanding of brain networks.
Recent Publications address critical challenges in diffusion MRI harmonization, white matter functional networks, and machine learning applications for neuroimaging across aging cohorts. Key contributions include deep learning pipelines for bias correction and quantitative T1 mapping comparisons.
