Imam Samil Yetik-Research Lab, People, Imam Samil Yetik-

  • Resume: Click here to download Dr. Yetik's resume.

  • Education:
    • Postdoc, Department of Biomedical Engineering, University of California at Davis, 2006
    • Postdoc, Department of Electrical and Computer Engineering, University of Illinois at Chicago, 2005
    • PhD, Department of Electrical and Computer Engineering, University of Illinois at Chicago, 2004
    • MS, Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2000
    • BS, Department of Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, 1998

  • Research Interests:
      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 on prostate cancer localization, dynamic PET imaging, and oxygen tension imaging of the retina. Please see the research link for more information.

  • Teaching:
    • ECE 569: Digital Signal Processing II, Fall 2006, Spring 2010
    • ECE 565: Computer Vision and Image Processing, Spring 2007 and Spring 2008
    • ECE 436: Digital Signal Processing I with Lab, Fall 2008, Fall 2009
    • ECE 437: Digital Signal Processing I, Fall 2008, Fall 2009
    • ECE 507: Imaging Theory and Applications, Spring 2009, Fall 2010
  • Professional Activities and Honors:
    • Senior Member, IEEE, since 2009
    • Associate Editor, 2010 Annual Conference of IEEE Engineering in Medicine and Biology Society, EMBC 2010
    • Program Committee Member, Prostate Cancer Imaging Workshop, 2010 Medical Image Computing and Computer Assisted Intervention, MICCAI 2010
    • Program Committee Member, 2010 Southwest Symposium on Image Analysis and Interpretation, SSIAI 2010
  • Invited Seminars (Since 2009):
    • "Automated Prostate Cancer Localization with Multispectral MRI", Department of Electrical and Systems Engineering, Washington University St. Louis, February 2, 2009.
    • "Automated Prostate Cancer Localization with Multispectral MRI: Challenges and Solutions", Department of Electrical and Computer Engineering, University of Illinois at Chicago, , October 30, 2009.
    • "Automated Prostate Cancer Localization with Multispectral MRI: Challenges and Solutions", Sabanci University, Istanbul, Turkey, July 15, 2010.
  • Publications:

    • Journal Papers:
      [17] X. Liu, M. A. Haider, D. L. Langer, and I. S. Yetik, "A Tumor Segmentation Method Based on Local Contrast for Improved Localization Performance", submitted.
      [16] Y. Cheng, I. S. Yetik, "Propagation of blood function error to the final kinetic parameter estimates with dynamic PET", submitted.
      [15] L. Liu, M. A. Haider, D. L. Langer, I. S. Yetik, "Prostate Cancer Localization with Spatially Regularized Parametric Images Obtained from DCE MRI", in revision, IEEE Trans. on Image Processing.
      [14] Y. Artan, M. A. Haider, D. L. Langer, T. H. van der Kwast, A. J. Evans, Y. Yang, M. N. Wernick, J. Trachtenberg, I. S. Yetik, "Prostate Cancer Localization with Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields", to appear, IEEE Trans. on Image Processing.
      [13] 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.
      [12]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.
      [11]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.
      [10]N. Cao, I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Haueisen, "Parametric Surface-source Modeling and Estimation with Electroencephalography", IEEE Transactions Biomedical Engineering, vol. 53, pp. 2414-2424, 2006.
      [9] N. Cao, I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Haueisen, "Estimating Parametric Line-Source Models with Electroencephalography", IEEE Transactions on Biomedical Engineering, vol. 53, pp. 2156-2165, 2006.
      [8] I. S. Yetik and A. Nehorai, "Performance bounds for image registration", IEEE Trans. Signal Processing, vol. 54, pp. 1737-1749, 2006.
      [7] I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Hauesien, "Surface-source modeling and estimation using biomagnetic measurements", IEEE Trans. Biomedical Engineering, vol. 53, pp. 1872-1882, 2006.
      [6] I. S. Yetik, A. Nehorai, J. D. Lewine, C. H. Muravchik, "Distinguishing between moving and stationary sources using EEG/MEG measurements with an application to epilepsy", IEEE Transactions. Biomedical Engineering, Vol. 52, pp. 471-479, 2005.
      [5] I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Haueisen, "Line-source modeling and estimation with magnetoencephalography", IEEE Trans. Biomedical Engineering,Vol. 51, pp. 839-851, 2005.
      [4] I. S. Yetik and A. Nehorai, "Beamforming using the Fractional Fourier Transform", IEEE Trans. Signal Processing, Vol. 51, pp. 1663-1668, June 2003.
      [3] I. S. Yetik, M. A. Kutay, H. M. Ozaktas, "Optimization of orders in multi-channel fractional fourier domain filtering circuits and its application to the synthesis of mutual intensity distributions", Applied Optics, vol. 41, pp. 4078-4084, 2002.
      [2] I. S. Yetik, M. A. Kutay, H. M. Ozaktas, "Image representation and compression with the fractional Fourier transform", Optics Communications, vol. 197, pp. 275-278, 2001.
      [1] I. S. Yetik, H. M. Ozaktas, B. Barshan, L. Onural, "Perspective projections in the space-frequency plane and fractional Fourier transforms", Journal of Optical Society of America A, vol. 12, pp. 2382-2390, Dec. 2000.

    • Conference Papers:
      [27] I. S. Yetik, "A Novel Non-Rigid Registration Method", to appear, Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation, 2010.
      [26] 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.
      [25] 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.
      [24] 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.
      [23] 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.
      [22] 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.
      [21] 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.
      [20] 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.
      [19] 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.
      [18] 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.
      [17] X. Liu, I. S. Yetik, M. N. Wernick, "Simultaneous estimation of the Markov Random Field parameters and the classes for image segmentation", Proceedings of IEEE International Conference on Image Processing, pp. 3048-3051, 2008.
      [16] M. Gadiya, I. S. Yetik, "Direct reconstruction of kinetic parameter images with ordered subsets", to appear in Proceedings of Medical Imaging Conference, 2008.
      [15] I. Yildirim, R. Ansari, J. Wanek, I. S. Yetik, M. Shahidi, "Retinal oxygen tension estimation in fluorescence lifetime images using regularized least squares", Proceedings of IEEE Electro/Information Technology, pp. 465-469, 2008.
      [14] F. Pektas, I. S. Yetik, "Covariance expressions for implicit estimators of kinetic parameters with dynamic PET", Proceedings of IEEE Electro/Information Technology, pp. 316-320, 2008.
      [13] Y. Cheng, I. S. Yetik, "Effect of the blood function error on the estimated kinetic parameters with dynamic PET", Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 1585-1588, 2008.
      [12] L. Chaillou, I. S. Yetik, M. N. Wernick, "New methods for fMRI data processing based on LLE", Proceedings of Computational Imaging Conference, pp.1322-1327, 2008.
      [11] I. S. Yetik, J. Qi, "Direct estimation of kinetic parameters from the sinogram with an unknown blood function", Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 295-298, 2006.
      [10] I. S. Yetik, J. Qi, "A fast method for kinetic parameter estimation", Proceedings of IEEE Nuclear Science Symposium, pp. 3213-3216, 2006.
      [9] N. Cao, I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Haueisen, "Line-source Modeling and Estimation with Electroencephalography", Proceedings of BEM and NFSI, 2005.
      [8] I. S. Yetik and A. Nehorai, "Performance bounds on image registration", Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, vol. II, pp. 117-120, 2005.
      [7] I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Hauesien, "Line-source modeling and estimation with magnetoencephalography", Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging, pp.1339-1342, 2004.
      [6] I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Hauesien, "Line and surface source estimation with magnetoencephalography", Proceedings of the 14th Biomag, pp. 603-604, 2004.
      [5] I. S. Yetik, H. M. Ozaktas, M. A. Kutay, "Fractional Fourier Transform and its Applications", Proceedings of DETC ASME, CD-ROM, 2003.
      [4] I. S. Yetik, M. A. Kutay, and H. M. Ozaktas, "Kesirli Fourier dounusumu ve imge sikistirilmasi, -in Turkish- (Image representation and compression with the fractional Fourier transform)," Sinyal Isleme ve Uygulamalari, pp. 37-41, 2001.
      [3] I. S. Yetik, H. M. Ozaktas, B. Barshan, and L. Onural, "Perspektif donusumun zaman-siklik duzleminde incelenmesi, in Turkish (Perspective projections in the space-frequency plane.)", Sinyal Isleme ve Uygulamalari, pp. 629-633, 2000.
      [2] I. S. Yetik, H. M. Ozaktas, B. Barshan, and L. Onural, "Perspective projections in the space-frequency plane and fractional Fourier transforms", Proceedings of the first IEEE Balkan Conference on Signal Processing, Communications and Circuits, and Systems, 2000.
      [1] I. S. Yetik, M. A. Kutay, H. Ozaktas, and H. M. Ozaktas, "Continuous and Discrete Fractional Fourier Domain Decompositions", Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. I:93-96, 2000.