The research of the Clinical Computational Neuroimaging group focuses on the development of quantitative neuroimaging biomarkers to improve the diagnoses, prognosis, management and ultimately outcomes of people with brain injury. We utilize state-of-the-art imaging acquisition and image processing techniques as well as advanced data analytics approaches including machine learning to achieve this goal. Below are brief examples of some of our research topics.
Shiroishi MS, Erickson BJ, Hu LS, Barboriak DP, Becerra L, Bell LC, Boss MA, Boxerman JL, Cen S, Cimino L, Fan Z, Keenan KE, Kirsch JE, Ameli N, Nazemi S, Quarles CC, Rosen MA, Rodriguez Jr L, Schmainda KM, Zahlmann G, Zhou Y, Obuchowski N, Wu O. The QIBA Profile for Dynamic Susceptibility Contrast MRI-Based Quantitative Imaging Biomarkers for Assessing Gliomas. Radiology. 2024 Dec;313(3):e232555. doi: 10.1148/radiol.232555. PMID: 39656118.
