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Principal Investigator  
Principal Investigator's Name: Xin Chen
Institution: University of Nottingham
Department: School of Computer Science
Proposed Analysis: An increasing number of studies have shown that longitudinal imaging data taken at different time points significantly contribute to diagnoses of complicated and chronic diseases (e.g. Alzheimer’s disease, multiple sclerosis) or used as a surrogate for monitoring treatment responses (e.g. chemotherapy in cancer treatment). To date, effective and consistent feature extraction from variable numbers of longitudinal images has not been adequately investigated. In this study, we propose a generic deep learning based framework taking advantage of longitudinal imaging features as well as numerical clinical assessments (medication, phenotype, etc.) for disease diagnosis and clinical outcome prediction.
Additional Investigators