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    Imam Samil Yetik, Ph.D. - Assistant Professor

    Imam Samil Yetik, Ph.D.

    Assistant Professor

    Office: Siegel Hall 135
    3301 South Dearborn Chicago, IL 60616

    Phone: 312.567.7999
    Fax: 312.567.8976
    Email: yetik@iit.edu
    Web: Personal Webpage
         

    Expertise

    • Biomedical Signal and Image Processing

    Education

    • B.S., Electrical and Electronics Engineering, Bogazici University, Turkey, 1998
    • M.S., Electrical and Electronics Engineering, Bilkent University, Turkey, 2000
    • Ph.D., Electrical and Computer Engineering, University of Illinois at Chicago, 2004

    Research

    Dr. Imam Samil Yetik's research interests are in the areas of biomedical signal and image processing with statistical approaches and machine learning techqniues. His most recent focus areas are prostate cancer localization, dynamic PET imaging, and oxygen tension imaging of the retina. See his webpage for more information.

    Current Projects

    Awards/Honors

    Patents

    Books

    Selected Publications

    S. Ozer, D. L. Langer, X. Liu, M. Haider, T. H. van der Kwast, A. J. Evans, Y. Yang, M. N. Wernick, I. S. Yetik, "Supervised and Unsupervised Methods for Prostate Cancer Localization with Multispectral MRI", Medical Pyhsics, pp. 1873-1883, 2010.

    I. S. Yetik, "A Novel Non-Rigid Registration Method", to appear, Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation, 2010.

    Y. Artan, I. S. Yetik, "An improved Random Walker Algorithm for Image Segmentation", to appear, Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation, 2010.

    X. Liu, I. S. Yetik, "A Maximum Likelihood Classification Method for Image Segmentation Considering Subject Variability", to appear, Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation, 2010.

    Y. Artan, M. A. Haider, D. L. Langer, I. S. Yetik, "Semi-Supervised Prostate Cancer Segmentation with Multispectral MRI", Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 648-651, 2010.

    L. Liu, M. A. Haider, D. L. Langer, I. S. Yetik, "Improved Prostate Cancer Localization with Spatially Regularized Dynamic Contrast-Enhanced Magnetic Resonance Imaging", Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 644-647, 2010.

    X. Liu, M. A. Haider, D. L. Langer, I. S. Yetik, "Using Relative Contrast and Iterative Normalization for Improved Prostate Cancer Localization with Multispectral MRI", Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 1369-1372, 2010.

    I. Yildirim, R. Ansari, J. Wanek, I. S. Yetik, M. Shahidi, "Retinal Oxygen Tension Estimation in Fluorescence Lifetime Images Using Regularized Least Squares", IEEE Transactions on Biomedical Engineering, pp. 1989-1995, 2009.

    X. Liu, I. S, Yetik, D. Leager, M. Haider, M. Wernick, Y. Yang, "Prostate Cancer Segmentation with Simultaneous Estimation of Markov Random Field Parameters and Classes", IEEE Transactions on Medical Imaging., vol. 28, no. 6, pp.906-915, 2009.

    X. Liu, D. L. Langer, M. Haider, T. van der Kwast, A. Evans, M. N. Wernick, I. S. Yetik, "Unsupervised Segmentation of the Prostate Using MR Images Based on Level Sets with a Shape Prior", Proceedings of IEEE EMBS, pp. 3613-3616, 2009.

    I. Yildirim, R. Ansari, J. Wanek, I. S. Yetik, M. Shahidi, "Denoising Algorithms and Retinal Oxygen Tension Estimation with EM", to appear, Proceedings of IEEE International Symposium on Biomedical Imaging, 2009.

    S. Ozer, M. Haider, D. Langer, T. H. van der Kwast, A. J. Evans, M. Wernick, J. Trachtenberg, I. S. Yetik, "Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machine", to appear, Proceedings of IEEE International Symposium on Biomedical Imaging, 2009.

    Y. Artan, D. Langer, M. Haider, T. H. van der Kwast, A. J. Evans, M. N. Wernick, I. S. Yetik, "Prostate Cancer Localization with Multispectral MRI Using Conditional Random Fields", Proceedings of IEEE International Symposium on Biomedical Imaging, 2009.

    Professional Society Memberships