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Publications by Type: Click here to see publications by topic.

  • Book Chapter:

    Y. Artan, I. S. Yetik, M. A. Haider, “Automated Prostate Cancer Localization with Multiparametric Magnetic Resonance Imaging,” in Abdomen and Thoracic Imaging (Eds. A. S. El-Baz, L. Saba, J. S. Suri), Springer 2014.

  • Journal Papers:

    • [20]Y. Artan, A. Oto, I.S. Yetik, A. Oto “Cross-Device Prostate Cancer Localization with Multiparametric MRI”, vol. 22, pp. 5385-5394, IEEE Transactions on Image Processing, 2013.
    [19]I. yildirim, R. Ansari, I.S. Yetik, M. Shahidi, “Direct Regularized Estimation of Retinal Vascular Oxygen Tension Based on an Experimental Model”, vol 41, pp. 2285-2295, Annals of Biomedical Engineering, 2013.
    [18]X. Liu, I.S. Yetik, “An Iterative Normalization Method for Improved Prostate Cancer Localization With Multispectral MRI” vol 2012, Journal of Electronic Imaging, 2012.
    [17]X. Liu, I. S. Yetik, “Prostate Cancer Localization without the Need for Peripheral Zone Extraction”, vol 38, pp 2986-2994, Medical Physics, 2012.
    [16]Y. Cheng, I.S. Yetik, “Propagation of blood function error to the final kinetic parameter estimates with dynamic PET”, vol. 2011, International Journal on Biomedical Imaging, 2011.
    [15]X. Liu, M.A. Haider, I.S. Yetik, "Unsupervised 3D prostate segmentation based on diffusion-weighted imaging MRI using active contour models with a shape prior," Journal of Electrical and Computer Engineering, 2011.
    [14]Y. Artan, D. L. Leager, M. A. Haider, Y. Yang, M. N. Wernick, I.S. Yetik, “Prostate Cancer Localization with Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields”, vol. 19, pp. 2444-2455, IEEE Transactions on Image Processing, 2010.
    [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 Physics, pp. 1873-1883, 2010.
    [12]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.
    [11]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. 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 on 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 Transactions on 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 Transactions on 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 on 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 Transactions on Biomedical Engineering,vol. 51, pp. 839-851, 2005.
    [4] I. S. Yetik and A. Nehorai, "Beamforming using the Fractional Fourier Transform," IEEE Transactions on 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:

    [35]M. Avsar, I.S. Yetik, “Automated Feature Based Fine Hair Localization for Laser Hair Removal with Optical Imaging, to appear, Proceedings of IEEE International Conference EMBC,2014.
    [34]Y. Artan, A. Oto, I.S. Yetik, “Cross-device Automated Prostate Cancer Localizatiion with Multiparameteric MRI”, pp. 6247-6250, Proceedings of IEEE International Conference EMBC, pp 4422-4425, 2012.
    [33]X. Liu, I.S. Yetik, “A New ROC Analysis Method Considering the Correlation Between Neighbouring Pixels”, pp. 3613-3616, Proceedings of IEEE International Conference EMBC, pp 4422-4425, 2012.
    [32]M. S. Haleem, M. A. Haider, I.S. Yetik, “A Task-based Approach to Parametric Imaging With Dynamic Contrast Enhanced MRI”, Proceedings of IEEE International Symposium on Biomedical Imaging ISBI, pp 746-749, 2011.
    [31]Y. Artan, M. A. Haider, I.S. Yetik, “Graph-based Active Contours Using Shape Priors for Prostate Segmentation With MRI, Proceedings of IEEE International Symposium on Biomedical Imaging ISBI, pp 1459-1462, 2011.
    [30]L. Carbo, M. A. Haider, I.S. Yetik, “Supervised Prostate Cancer Segmentation With Multispectral MRI Incorporating Location Information”, Proceedings of IEEE International Symposium on Biomedical Imaging ISBI, pp 1496-1499, 2011.
    [29]X. Liu, M. A. Haider, I.S. Yetik, “Automated Prostate Cancer Localization With MRI Without the Need of Manually Extracted Peripheral Zone”, Proceedings of IEEE International Symposium on Biomedical Imaging ISBI, pp. 2099-2102, 2011.
    [28]Y. Artan, M. A. Haider, I.S. Yetik, “Prostate Cancer Localization with Multispectral Random Walks”, Prostate Cancer Imaging, Computer-Aided Diagnosis, Prognosis and Intervention, Lecture Notes in Computer Science, MICCAI 2010, vol. 6367, pp. 15-24, 2010.
    [27]S. Ozer, C. H. Chen, I.S. Yetik, “Using K-NN SVMs for Performance Improvement and Comparison to K-highest Lagrange Multipliers Selection”, pp. 532-539, Proceedings of Structural and Syntactic Pattern Recognition SSPR, 2010.
    [26]I.S. Yetik, "A Novel Nonrigid Image Registration Method", pp. 45-48, Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation SSIAI, 2010.
    [25]Y. Artan, I.S. Yetik, "Improved Random Walker Algorithm for Image Segmentation", pp. 89-92, Proceedings of IEEE Southwest Symposium on Image Analysis and Interpretation SSIAI, 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. 647-651, 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", Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 57-60, 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", Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 73-76, 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 InternationalSymposium on Biomedical Imaging, pp. 282-285, 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," Proceedings of Medical Imaging Conference, 2008.
    [15] 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.
    [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 Dönüşümü ile imge gösterimi ve sıkıştırılması, in Turkish (Image representation and compression with the fractional Fourier transform)," Sinyal işleme ve Uygulamaları, pp. 37-41, 2001.
    [3] I. S. Yetik, H. M. Ozaktas, B. Barshan, and L. Onural, "Perspektif dönüşümün zaman-sıklık düzleminde incelenmesi, in Turkish (Perspective projections in the space-frequency plane.) " Sinyal işleme ve Uygulamaları, 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.