Faculty Affiliates

Saeed Hassanpour, PhD

Associate Professor, Departments of Biomedical Data Science and Epidemiology, Geisel School of Medicine at Dartmouth College

Machine Learning; Data Mining; Natural Language Processing

Contact

Saeed Hassanpour, PhD
Associate Professor, Departments of Biomedical Data Science and Epidemiology, Geisel School of Medicine at Dartmouth College

1 Medical Center Drive, HB 7261, Lebanon, NH 03756

(603) 650-1983

Saeed.Hassanpour@dartmouth.edu


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.

Website

Link to Dr. Hassanpour’s full bibliography


Selected Publications
  • type-published
    1590451200
    5
    2020
    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.
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  • type-published
    1585699200
    4
    2020
    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.
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  • type-published
    1585008000
    3
    2020
    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.
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  • type-published
    1572566400
    11
    2019
    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.
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  • type-published
    1556668800
    5
    2019
    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.
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  • type-published
    1551657600
    3
    2019
    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.
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  • type-published
    1544054400
    12
    2018
    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.
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  • type-published
    1540339200
    10
    2018
    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.
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