Faculty Affiliates
Saeed Hassanpour, PhD
Saeed Hassanpour, PhD
Associate Professor, Departments of Biomedical Data Science and Epidemiology, Geisel School of Medicine at Dartmouth College
Dr. Saeed Hassanpour is an Associate Professor in the Departments of Biomedical Data Science, Computer Science, and Epidemiology at Dartmouth College. His research is focused on the use of artificial intelligence in healthcare. Dr. Hassanpour’s research laboratory has built novel machine learning and deep learning models for medical image analysis and clinical text mining to improve diagnosis, prognosis, and personalized therapies. Before joining Dartmouth, he worked as a Research Engineer at Microsoft. Dr. Hassanpour received his Ph.D. in Electrical Engineering with a minor in Biomedical Informatics from Stanford University and a Master of Math in Computer Science from the University of Waterloo in Canada.
Selected Publications
- Tomita N, Jiang S, Maeder ME, Hassanpour S. Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network. Neuroimage Clin. 2020;27:102276. doi: 10.1016/j.nicl.2020.102276. PMID: 32512401; PMCID: PMC7281812. View Source
- Wei JW, Suriawinata AA, Vaickus LJ, Ren B, Liu X, Lisovsky M, Tomita N, Abdollahi B, Kim AS, Snover DC, Baron JA, Barry EL, Hassanpour S. Evaluation of a deep neural network for automated classification of colorectal polyps on histopathologic slides. JAMA Netw Open. 2020 Apr 1;3(4):e203398. doi: 10.1001/jamanetworkopen.2020.3398. PMID: 32324237. View Source
- Marsch LA, Campbell A, Campbell C, Chen CH, Ertin E, Ghitza U, Lambert-Harris C, Hassanpour S, Holtyn AF, Hser YI, Jacobs P, Klausner JD, Lemley S, Kotz D, Meier A, McLeman B, McNeely J, Mishra V, Mooney L, Nunes E, Stafylis C, Stanger C, Saunders EC, Subramaniam G, Young S. The application of digital health to the assessment and treatment of substance use disorders: The past, current, and future role of the National Drug Abuse Treatment Clinical Trials Network. J Subst Abuse Treat. 2020 Mar;112S:4-11. doi: 10.1016/j.jsat.2020.02.005. PMID: 32220409. View Source
- Tomita N, Abdollahi B, Wei J, Ren B, Suriawinata A, Hassanpour S. Attention-based deep neural networks for detection of cancerous and precancerous esophagus tissue on histopathological slides. JAMA Netw Open. 2019 Nov 1;2(11):e1914645. doi: 10.1001/jamanetworkopen.2019.14645. PMID: 31693124; PMCID: PMC6865275. View Source
- Meng X, Ganoe CH, Sieberg RT, Cheung YY, Hassanpour S. Assisting radiologists with reporting urgent findings to referring physicians: A machine learning approach to identify cases for prompt communication. J Biomed Inform. 2019 May;93:103169. doi: 10.1016/j.jbi.2019.103169. PMID: 30959206; PMCID: PMC6506378. View Source
- Wei JW, Tafe LJ, Linnik YA, Vaickus LJ, Tomita N, Hassanpour S. Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks. Sci Rep. 2019 Mar 4;9(1):3358. doi: 10.1038/s41598-019-40041-7. PMID: 30833650; PMCID: PMC6399447. View Source
- Ricard BJ, Marsch LA, Crosier B, Hassanpour S. Exploring the utility of community-generated social media content for detecting depression: An analytical study on Instagram. J Med Internet Res. 2018 Dec 6;20(12):e11817. doi: 10.2196/11817. PMID: 30522991. View Source
- Hassanpour S, Tomita N, Delise T, Crosier B, Marsch LA. Identifying substance use risk based on deep neural networks and Instagram social media data. Neuropsychopharmacology. 2018 Oct 24. doi: 10.1038/s41386-018-0247-x. PMID: 30356094. View Source