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Siamak Yousefi, PhD

Assistant Professor
Department of Ophthalmology

University of Tennessee Health Science Center
930 Madison Ave Ste 726 
Memphis, TN 38163
Phone: 901.448.7831
Email: syousef1@uthsc.edu

Education

  • PhD, University of Texas at Dallas, 2011, Major: Electrical Engineering
  • Post-Doc, Biomedical Data Mining - Computational Ophthalmology, University of California, San Diego (UCSD), San Diego, CA, United States
  • Post-Doc, Biomedical Data Mining - Brain Computer Interface, University of California, Los Angeles (UCLA), Los Angeles, CA, United States

Research Interests

He is the director of the Data Mining and Machine Learning (DM2L) laboratory where he and his team develop state-of-the-art learning models to identify a wide range of eye conditions such as glaucoma from ocular imaging data.

Representative Publications

  • Mahotra, S., Huang, X., Elze, T., Wang, M., Boland, M. V., Pasquale, L., Majoor, J. E. A., Vermeer, K. A., Lemij, H., Nouri-Mahdavi, K., & Yousefi, S. (2021). Detecting Glaucoma Progression using Deep Archetypal Analysis of Retinal Nerve Fiber Layer Thickness Measurements. Investigative Ophthalmology \& Visual Science, 62, 3357--3357.
  • Takahashi, H., Al-Timemy, A. H., Mosa, Z. M., Alyasseri, Z., Lavric, A., Milhomens Filho, Jose Arthur Pinto, Yuda, K., Hazarbassanov, R. M., & Yousefi, S. (2021). Detecting keratoconus severity from corneal data of different populations with machine learning. Investigative Ophthalmology \& Visual Science, 62, 2145--2145.
  • Sun, J., Yousefi, S., & others. (2021). Detecting Severity of Experimental Autoimmune Uveitis in Mice from Retinal Fundus Photographs using Deep Learning. Investigative Ophthalmology \& Visual Science, 62, 116--116.
  • Huang, X., Mahotra, S., Elze, T., Wang, M., Boland, M. V., Pasquale, L., Majoor, J. E. A., Lemij, H., Nouri-Mahdavi, K., Johnson, C. A., & Yousefi, S. (2021). Detection of Glaucoma Progression from Retinal Nerve Fiber Layer Thickness Measurements Using Machine Learning. Investigative Ophthalmology \& Visual Science, 62, 1005--1005. 721 Eaton ST
  • Hazarbassanov, R. M., Lavric, A., Milhomens Filho, Jose Arthur Pinto, Anchidin, L., Popa, V., Al-Timemy, A. H., Alyasseri, Z., Takahashi, H., & Yousefi, S. (2021). Evaluation of keratoconus detection from elevation, topography and pachymetry raw data using machine learning. Investigative Ophthalmology \& Visual Science, 62, 2154--2154.

View more references (pubmed link)

May 26, 2022