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Publications by Topic: Click here to see publications by type.

  • Prostate Cancer

    [11] X. Liu, M. A. Haider, D. L. Langer, I. S. Yetik, "A Tumor Segmentation Method Based on Local Contrast for Improved Localization Performance," submitted.
    [10] 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.
    [9] 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 Transactions on Image Processing.
    [8] 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.
    [7] L. Liu, M. A. Haider, D. L. Langer, I. S. Yetik, "Improved Prostate Cancer Localizaiton with Spatially Regularized Dynamic Contrast-Enhanced Magnetic Resonance Imaging", Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 644-647, 2010.
    [6] X. Liu, M. A. Haider, D. L. Langer, I. S. Yetik, "Using Relative Contrast and Iterative Normalization for Improved Prostate Cancer Localizaiton with Multispectra MRI", Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 1369-1372, 2010.
    [5] 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 Multispectra MRI", Medical Physics, pp. 1873-1883, 2010.
    [4] X. Liu, D. Leager, M. Haider, M. Wernick, Y. Yang, I. S. Yetik, "Prostate Cancer Segmentation with Simultaneous Estimation of Markov Random Field Parameters and Classes" IEEE Transactions on Medical Imaging, vol. 28, pp. 908-915, 2009.
    [3] 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 Machines", Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 73-76, 2009.
    [2] 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 InternationalSymposium on Biomedical Imaging, pp. 282-285, 2009.
    [1] 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.

  • Dynamic Positron Emission Tomography

    [6]Y. Cheng, I. S. Yetik, "Propagation of blood function error to the final kinetic parameter estimates with dynamic PET", submitted.
    [5] M. Gadiya, I. S. Yetik, "Direct reconstruction of kinetic parameter images with ordered subsets", Proceedings of Medical Imaging Conference, 2008.
    [4] 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.
    [3] 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.
    [2] 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.
    [1] I. S. Yetik, J. Qi, "A fast method for kinetic parameter estimation", Proceedings of IEEE Nuclear Science Symposium, pp. 3213-3216, 2006.

  • Retina Imaging

    [3]I. Yildirim, R. Ansari, J. Wanek, I. S. Yetik, M. Shahidi, "Regularized Estimation of Retinal Vascular Oxgen Tension from Phosphorescence Images", IEEE Transactions on Biomedical Engineering, vol. 56, pp. 1989-1995, 2009.
    [2] I. Yildirim, R. Ansari, J. Wanek, I. S. Yetik, M. Shahidi, "Denoising Algorithms and Retinal Oxygen Tension Estimation with EM", Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 57-60, 2009.
    [1] I. Yildirim, R. Ansari, J. Wanek, I. S. Yetik, M. Shahidi, "Retinal oxygen tension estimation in phosphorescence lifetime images using regularized least squares", Proceedings of IEEE Electro/Information Technology, pp. 465-469, 2008.

  • Electroencephalography and Magnetoencephalography

    [8]N. Cao, I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Haueisen, "Parametric Surface-source Modeling and Estimation with Electroencephalography", IEEE Transactions on Biomedical Engineering, vol. 53, pp. 2414-2424, 2006.
    [7] 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.
    [6] 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.
    [5] 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 on Biomedical Engineering, Vol. 52, pp. 471-479, 2005.
    [4] I. S. Yetik, A. Nehorai, C. H. Muravchik, J. Haueisen, "Line-source modeling and estimation with magnetoencephalography," IEEE Transactions on Biomedical Engineering,Vol. 51, pp. 839-851, 2005.
    [3] 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.
    [2] 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.
    [1] 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.

  • Fractional Fourier Transform

    [9] I. S. Yetik and A. Nehorai, "Beamforming using the Fractional Fourier Transform," IEEE Transactions on Signal Processing, Vol. 51, pp. 1663-1668, June 2003.
    [8] 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.
    [7] 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.
    [6] 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.
    [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 d?n???m? ile imge g?sterimi ve s?k??t?r?lmas?, in Turkish (Image representation and compression with the fractional Fourier transform)," Sinyal ??leme ve Uygulamalar?, pp. 37-41, 2001.
    [3] I. S. Yetik, H. M. Ozaktas, B. Barshan, and L. Onural, "Perspektif d?n???m?n zaman-s?kl?k d?zleminde incelenmesi, in Turkish (Perspective projections in the space-frequency plane.) " Sinyal ??leme ve Uygulamalar?, 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.

  • Image Registration

    [3] I. S. Yetik, "A Novel Registration Method," to appear, Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation, 2010.
    [2] 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.
    [1] I. S. Yetik and A. Nehorai, "Performance bounds for image registration," IEEE Trans. Signal Processing, vol. 54, pp. 1737-1749, 2006.

  • Machine Learning for Other Applications

    [2] Y. Artan, X. Huang, "Combining multiple 2-nu SVM classifiers for tissue segmentation," ISBI 2008, pp. 481-484, 2008.
    [1] R. Blum, Y. Artan, B. Sadler, "A new approach to energy efficient classification with multiple sensors based on ordered tranmissions," ICASSP 2008, pp. 2505-2508, 2008 .

  • Others

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    [4] X. Liu, I. S. Yetik, "A Maximum Likelihood Method for Image Segmentation Considering Subject Variability", to appear, Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation, 2010.
    [3] 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.
    [2] 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.
    [1] X. Liu, Y. Yang, Z. He, "A Combination Method for Medical Image Segmentation", Beijing Area Academic Symposium on Information and Communication Technology 2006.