Saeed Hassanpour
Assistant Professor
Department of Computer Science
Dartmouth College
United States of America
Biography
Saeed Hassanpour is an Assistant Professor in the Department of Biomedical Data Science at Geisel School of Medicine at Dartmouth College, with adjunct appointments in the Computer Science and Epidemiology Departments. His research is focused on developing new computational methods to capture and organize clinically meaningful information from complex and massive amounts of biomedical data. His lab uses this distilled information to provide intelligent tools to help biomedical researchers understand their data better and assist clinicians in medical diagnosis and practice. Dr. Hassanpour completed his postdoctoral training in the Department of Radiology at Stanford University School of Medicine, where he developed novel computational methods to extract clinically significant information from radiology reports. Before his postdoctoral position at Stanford, he worked as a Research Engineer at Microsoft for more than 2 years. His research at Microsoft was focused on high-throughput semantic text analysis to extract user intents from Web search queries. He received his PhD in Electrical Engineering with a minor in Biomedical Informatics from Stanford University.
Research Interest
His research is focused on developing new computational methods to capture and organize clinically meaningful information from complex and massive amounts of biomedical data.
Publications
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Saeed Hassanpour, Curtis P. Langlotz, “Unsupervised Topic Modeling in a Large Free Text Radiology Report Repositoryâ€, Journal of Digital Imaging, 29(1):59-62, 2016.
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Saeed Hassanpour, Curtis P. Langlotz, “Predicting High Imaging Utilization Based On Initial Radiology Reports: A Feasibility Study of Machine Learningâ€, Academic Radiology, 23(1):84-89, 2016.
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Saeed Hassanpour, Curtis P. Langlotz, “Information Extraction from Multi-Institutional Radiology Reportsâ€, Artificial Intelligence in Medicine, 66:29-39, 2016.