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Mahsa Torkaman

Title(s)Associate Specialist, Radiology
SchoolSchool of Medicine
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    Collapse Education and Training
    University of California, San Francisco (UCSF)PostdocCurrent Radiology and Biomedical Imaging
    Stony Brook University, New YorkPh.D.2019Computer Science
    Stony Brook University, New York M.Sc.Computer Science
    Amirkabir University of Technology, TehranB.Sc.2012Computer Science

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    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging. In Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging, vol. 11600, p. 116000U. International Society for Optics and Photonics, 2021. 2021. Torkaman, Mahsa, Jaewon Yang, Luyao Shi, Rui Wang, Edward J. Miller, Albert J. Sinusas, Chi Liu, Grant T. Gullberg, and Youngho Seo.
    2. A data-efficient method for local noise power spectrum (NPS) estimation in FDK-reconstructed 3D cone-beam CT. Med Phys. 2019 Apr; 46(4):1634-1647. Zeng R, Torkaman M, Ning H, Zhuge Y, Miller R, Myers KJ. PMID: 30723944.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    3. Extraction of breast lesions from ultrasound imagery: Bhattacharyya gradient flow approach. International Society for Optics and Photonics. 2018; 10574:105742Y. Torkaman, M., Sandhu, R. and Tannenbaum, A.
    4. Measuring breast motion at multiple DBT compression levels using ultrasound speckle-tracking techniques. 14th International Workshop on Breast Imaging (IWBI). 2018; 10718:107180L. Zeng, R., Jia, C., Akhlaghi, N., Torkaman, M., Garra, B., Alton, K., Brem, R., Ahmed, T., Kaczmarek, R. and My- ers, K.J.
    5. Estimating 3D local noise power spectrum from a few FDK-reconstructed cone-beam CT scans. International Society for Optics and Photonics. 2017; 10132:101322D. Zeng, R., Torkaman, M. and Myers, K.J.
    6. Sulci segmentation using geometric active contours. International Society for Optics and Photonics. 2017; 10133:101330I. Torkaman, M., Zhu, L., Karasev, P. and Tannenbaum, A.