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.
Wang Z, Kulpanowski AM, Copen WA, Rosenthal ES, Dodelson JA, McCrory DE, Edlow BL, Taylor Kimberly W, Amorim E, Brandon Westover M, Ning M, Zabihi M, Schaefer PW, Malhotra R, Giacino JT, Greer DM, Wu O. Automated detection of severe cerebral edema using explainable deep transfer learning after hypoxic ischemic brain injury. Resuscitation. 2025 May 23:110652. doi: 10.1016/j.resuscitation.2025.110652. Epub ahead of print. PMID: 40414341.
