Publications

Full List of Publications [pdf]

Books

  1. R. Mammone and Y. Y. Zeevi (Ed’s),”Neural Networks – Theory and Applications” Academic Press, 1991.
  2. Y. Y. Zeevi and R. Coifman (Ed’s), “Signal and Image Representation in Combined Spaces”, Academic Press, 1998.
  3. G. Sommer and Y.Y. Zeevi (Ed’s), “Algebraic Frames for the Perception-Action Cycle”, Lecture Notes in Computer Science 1888, Springer, Berlin, 2000.

Journal Articles
and Book Chapters

Since 1992

  1. Y. Y. Zeevi and I. Gertner, “The Finite Zak Transform: An Efficient Tool for Image Representation and Analysis”, J. Visual Comm. and Image Represent., Vol. 3, 1992, pp. 13-23.
  2. Y. Y. Zeevi and E. Shlomot, “Non-Uniform Sampling and Anti-Aliasing in Image Representation”, Trans. IEEE SP,  Vol. 41, 1993, pp. 1223-1236.
  3. M. Zibulski and Y. Y. Zeevi, “Oversampling in the Gabor Scheme”, Trans. IEEE Signal Processing, Vol. 41, 1993, pp. 2679-2687.
  4. J. Segman and Y. Y. Zeevi, “Image Analysis by Wavelet-Type Transform: Group Theoretic Approach”, J. Mathematical Imaging and Vision, Vol. 3, March 1993, pp. 51-75.
  5. J. Segman and Y. Y. Zeevi, “Spherical Wavelets and Their Applications to Image Representation”, J. Visual Comm. and Image Represent., Vol. 4, Sept. 1993, pp. 263-270.
  6. J. Segman and Y. Y. Zeevi, “A Wavelet-Type Approach to Image Analysis and Vision”, in Wavelet and Their Applications, J. Byrnes Ed., Kluwer Academic Pub., Dordrecht, 1994, pp. 1-44.
  7. M. Zibulski and Y. Y. Zeevi, “Frame Analysis of the Discrete Gabor-Scheme”, Trans. IEEE Signal Processing, Vol. 42, No. 4, April 1994. pp. 942-945.
  8. N. Polyak, W. A. Pearlman and Y. Y. Zeevi, “Orthogonalization of Circular Sequences and its Application to the Gabor Decomposition”, Trans. IEEE Signal Processing, Vol. 43, No. 8, August 1995, pp. 1778-1789.
  9. G. A. Geri, D. R. Lyon and Y. Y. Zeevi, “Preattentive Equivalence of Multicomponent Gabor Textures in the Central and Peripheral Visual Field”, Vision Res., Vol. 35, No. 4, 1995, pp. 495-506.
  10. H. Pratt, A.B. Geva, K. Feingold and Y.Y. Zeevi, “Source Estimation of Auditory Brainstem Evoked Potentials: Comparison of 3CLT and Dipole Localization”, Acta Otolaryngol. (Stockh), Vol. 115, pp. 363-366, 1995.
  11. A. B. Geva, H. Pratt and Y. Y. Zeevi, “Spatio-Temporal Multiple Source Localization by Wavelet-Type Decomposition of Evoked Potentials”, Electroencephalography and Clinical Neurophysiology, Vol. 96, 1995, pp. 278-286.
  12. G. A. Geri and Y. Y. Zeevi, “Visual Assessment of variable-resolution Imagery”, J. Opt. Soc. Am A, Vol. 12, No. 10, Oct. 1995, pp. 2367-2375
  13. N. Peterfreund and Y. Y. Zeevi, “Nonuniform Image Representation in Area-of-Interest Systems”, Trans. IEEE Image Proc., Vol. 4, No. 9, Sept. 1995, pp. 1202-1212.
  14. D. Stanhill and Y. Y. Zeevi, “Two-Dimensional Orthogonal Wavelets with Vanishing Moments’‘, Trans. IEEE Signal Processing, Vol. 44, No. 10, October 1996, pp. 2579-2590.
  15. G. A. Geri, D. R. Lyon, Y. Y. Zeevi, “Preattentive Equivalence of Multicomponent Gabor Textures in the Central and Peripheral Visual Field’‘, Vision Res., Vol. 35, No. 4, pp. 495-506, 1995.
  16. M. Azaria, I. Vitsnudel and Y. Y. Zeevi, “The Design of Two-Dimensional Estimators Based on One-Dimensional Operators”, Trans. IEEE SP, Vol. 5, No. 1, January 1996, pp. 155-159.
  17. V. A. Segalescu, M. Zibulski and Y. Y. Zeevi, “On the Role of Biorthogonality in Representation of random Processes”, IEEE Trans. Information Theory, Vol. 42, No. 1, January 1996, pp. 288-290.
  18. B.A. Geva, H. Pratt, Y.Y. Zeevi, “Spatio-Temporal Source Estimation of Evoked Potentials by Wavelet-Type Decomposition”, in: I. Gath and G. Inbar (eds): Advances in Processing and Pattern Analysis of Biological Signals, Plenum, New York, pp. 101-122, 1996.
  19. M. Zibulski, V. A. Segalescu, N. Cohen and Y. Y. Zeevi, “Frame Analysis of Irregular Periodic Sampling of Signals and Their Derivatives”, J. Fourier Analysis & Applications, Vol. 2, No. 5, 1996, pp. 453-471.
  20. A. B. Geva, H. Pratt and Y. Y. Zeevi, “Multichannel Wavelet-Type Decomposition of Evoked Potential: Model-Based Recognition of Generator Activity”, Medical and Biological Engineering and Computing, Vol. 35, No. 1, Jan. 1997, pp. 40-46.
  21. M. Zibulski and Y. Y. Zeevi “Analysis of Multi-Window Gabor-Type Schemes by Frame Methods”, Applied and Computational Harmonic Analysis, Vol. 4, pp. 188-221, 1997.
  22. Y. Eldar, M. Lindenbaum, M. Porat and Y. Y. Zeevi, “The Farthest Point Strategy for Progressive Image Sampling”,
    Trans. IEEE Image Proc., Vol. 6, No. 9, Sept. 1997, pp. 1305-1315. (Technion CC Pub. No. 104, May 1995).
  23. T. V. Papathomas, A. Feher, B. Julesz and Y. Y. Zeevi, “Interactions of Monocular and Cyclopean Components and the Role of Depth in the Ebbinghaus Illusion”, Perception, 1997.
  24. M. Zibulski and Y. Y. Zeevi “Discrete Multi-Window Gabor-Type Transforms”, IEEE Trans. on Signal Processing, Vol. 45, No. 6, June 1997, pp. 1428-1442. 
  25. Y.Y. Zeevi, M. Zibulski and M. Porat, “Multi-Window Gabor Schemes in Signal and Image Representations”, in: Gabor Analysis and Algorithms: Theory and Applications, H. G. Feichtenger and T. Strohmer (eds), Birkauser, N.Y. 1997, pp. 381-405 (Invited Paper).
  26. M. Zibulski and Y.Y. Zeevi, “The Generalized Gabor Scheme and its Application in Signal and Image Representation”, in: Signal and Image Representations in Combined Spaces, Y.Y. Zeevi and R. Coifman (eds), Academic Press, Boston, 1997, pp. 121-164.
  27. D. Stanhill and Y. Y. Zeevi “Two-Dimensional Orthogonal Filter-Banks and Wavelets with Linear Phase”, IEEE Trans. Signal Processing, Vol. 46, No.1, January 1998, pp. 183-190.
  28. S.G. Wolf, R. Ginosar and Y.Y. Zeevi, “Spatio-Chromatic Image Enhancement Based on a Model of Human Visual Information Processing”, J. Visual Communication Image Representation, Vol. 9, No. 1, March 1998, pp. 25-37. 
  29. David Stanhill and Y. Y. Zeevi, “Frame Analysis of Wavelet-Type Filter Banks”, Signal Processing, Vol. 67, No. 2, 1998, pp. 125-139.
  30. E. Rivlin, H. Rotstein and Y.Y. Zeevi, “Two-Mode Control: An Oculomotor-Based Approach to Tracking Systems”,
    IEEE Trans. on Automatic Control, Vol. 43, No. 6, June 1998, pp. 833-842.
  31. N. A. Sochen, R. M. Haralick and Y. Y. Zeevi, “A Geometric Functional for Derivative Approximation”, Springer Lecture Notes on Computer Science, Vol. 1682, pp. 507-512, 1999.
  32. Z. Leibovitz, V. Grinin, R. Rabia, S. Degani, I. Shapiro, J. Tal, I. Eibschitz, O. Harari, Y. Paltieli, A. Aharoni, Y. Y. Zeevi and G. Ohel, “Assessment of endometrial receptivity for gestation in patients undergoing in vitro fertilization”, using endometrial thickness and the endometrium-myometrium relative echogenicity coecient”, J. Ultrasound Obstet. Gynecol, Vol. 14, pp. 194-199, 1999.
  33. C. Sagiv, N. A. Sochen and Y. Y. Zeevi, “Gabor-Space Geodesic Active Contours’‘, Springer Lecture Notes in Computer Science, Vol. 1888, pp. 309-318, 2000.
  34. N. A. Sochen, G. Gilboa and Y. Y. Zeevi, “Color Image Enhancement by Forward-and-Backward Adaptive Beltrami Flow”, Springer Lecture Notes in Computer Science, Vol. 1888, pp. 319-328, 2000.
  35. Y.Y. Zeevi, “Multiwindow Gabor-type Representations and Signal Representation by Partial Information”, in Harmonic Analysis and its Applications, Ed. J. Byrnes, Kluwer Academic, 2001.
  36. C. Sagiv, N. A. Sochen and Y. Y. Zeevi, “Geodesic Active Contours Applied to Texture Feature Space”, Springer Lecture Notes in Computer Science, Vol. 2106, pp. 344-352, 2001.
  37. C. Sagiv, N. A. Sochen and Y. Y. Zeevi, “Gabor Feature Space Diffusion via the Minimal Weighted Area Method”, Springer Lecture Notes in Computer Science, Vol. 2134, pp. 621-635, 2001.
  38. M. Zibulevsky and Y. Y. Zeevi, “Extraction of a  Source from Multichannel Data Using Sparse Decomposition”, Neurocomputing, Vol. 49,  2002, p. 163-173. 
  39. Y.Y. Zeevi, “Blind Source Separation via Multimode Sparse Representation”, in Advance in Neural Information Processing Systems, Vol. 14, Morgan Kaufman, pp. 185-191, 2002.
  40. G. Gilboa, N. Sochen and Y.Y. Zeevi, “Forward-and-Backward Diffusion Process for Adaptive Image Enhancement and Denoising”, IEEE Trans. on Image Processing, Vol. 11, No. 7, pp. 689-703,  2002.
  41. P. Sajda, A. Laine and Y.Y. Zeevi, “Multi-resolution and Wavelet Representations for Identifying Signatures of Disease”, J. Med. Markers, Vol. 18, pp. 339-363, 2002  (Invited Paper).
  42. P. Kisilev, M. Zibulevsky and Y. Y. Zeevi, “A Multiscale Framework For  Blind Separation of Linearly Mixed Signals”, Journal of Machine Learning Research, Vol. 4, pp. 1339-1364, 2003.
  43. A. Bronstein, M. Bronstein, M. Zibulevsky and Y.Y. Zeevi, “Optimal nonlinear line-of-flight estimation in PET”, IEEE Transactions on Nuclear Science, Vol. 50, No. 3, pp. 421-426, 2003.
  44. G. Gilboa, N. Sochen and Y.Y. Zeevi, “Image Sharpening by Flows Based on Triple Well Potentials”, Mathematical Imaging and Vision, Vol. 20, pp. 121-131, 2004.
  45. G. Gilboa, N. Sochen and Y.Y. Zeevi, “Image Enhancement and Denoising by Complex Diffusion Processes”, IEEE Trans. PAMI,  Vol. 26, No. 8, pp. 1020-1036, 2004.
  46. A.M. Bronstein, M.M. Bronstein, M. Zibulevsky and Y.Y. Zeevi, “QML Blind Deconvolution: Asymptotic Analysis’‘, in Independent Component Analysis and Blind Signal Separation, C. G. Puntonet and A. Prieto (Eds), Springer-Verlag, LNCS 3195, pp. 677-684, 2004.
  47. P. Sajda and Y. Y. Zeevi, Guest Editorial: Special Issue on “Blind Source Separation and De-convolution in Imaging and Image Processing”, International Journal of Imaging Systems and Technology, Vol. 15, No. 1, p. 1, 2005.
  48. A.M. Bronstein, M.M. Bronstein, M. Zibulevsky and Y.Y. Zeevi,”Blind Deconvolution of Images Using Optimal Sparse Representations“,  IEEE Trans. on Image Processing, Vol. 14, No. 6, pp. 726-736, June 2005.
  49. G. Gilboa, N. Sochen and Y.Y. Zeevi, “Real and Complex PDE-Based Schemes for Image Sharpening and Enhancement“, in : Advances in Imaging and Electron Physics, P.W. Hawkes (Ed.) Vol. 136, pp. 1-109, Academic Press, 2005.
  50. R. Kaftory, N. Sochen and Y.Y. Zeevi, “Variational Blind Deconvolution of Multi-Channel Images“, International J. Imaging Science and Technology, Vol. 15, Issue 1 (2005), pp. 56-63.
  51. A.M. Bronstein, M.M. Bronstein, M. Zibulevsky and Y.Y. Zeevi, “Sparse ICA for Blind Separation of Transmitted and Reflected Images“, International J. Imaging Science and Technology, Vol. 15, Issue 1 (2005), pp. 84-91.
  52. I. Raichelgauz, K. Odinaev and Y.Y. Zeevi, “Co-evolutionary Learning in Liquid Architectures, in Computational Intelligence and Bioinspired Systems“, J. Cabestany, A. Preto and F. Sandoval (Eds.), Springer-Verlag, LNCS 3512, pp. 241-248, 2005.
  53. A.M. Bronstein, M.M. Bronstein, M. Zibulevsky and Y.Y. Zeevi, “Optimal Sparse Representation for Blind Deconvolution of Images“, in Independent Component Analysis and Blind Signal Separation, C.G. Puntonet and A. Prieto (Eds), Springer-Verlag, LNCS 3195, pp. 500-507, 2005.
  54. H. Unger and Y.Y. Zeevi, “Blind Separation of Spatio-temporal Data Sources“, in  Independent Component Analysis and Blind Signal Separation, C.G. Puntonet and A. Prieto (Eds), Springer-Verlag, LNCS 3195, pp. 962-969, 2004.
  55. C. Sagiv, N. Sochen and Y.Y. Zeevi, “Scale-space Generation via Uncertainty Principles”, in Springer-Verlag, LNCS 3459, pp. 351-362, 2005.
  56. G. Gilboa, N. Sochen and Y.Y. Zeevi, “Estimation of Optimal PDE-Based Denoising in the SNR Sense“, IEEE Trans. on Image Processing, Vol. 15, No. 8, pp. 2269-2280, 2006.
  57. G. Gilboa, N. Sochen, Y.Y. Zeevi, “Variational Denoising of Partly Textured Images by Spatially Varying Constraints“, IEEE Trans. on Image Processing, Vol. 15, No. 8, pp. 2281-2289, 2006.
  58. C. Sagiv, N. Sochen and Y.Y. Zeevi, “Integrated Active Contours for Texture Segmentation“, IEEE Trans. IP, Vol. 15, No. 6, pp. 1633-1646, 2006.
  59. E. Appelboim, E. Saucan,  Y. Y. Zeevi and O. Zeitouni, “Quasi-Isometric and Quasi-Conformal Development of Triangulated Surfaces for Computerized Tomography”, Springer Lecture Notes in Computer Science, Vol. 4040, pp. 361-374, 2006.
  60. H. Unger and Y.Y. Zeevi, “Blind Separation of Spatio-Temporal Synfire Sources and Visualization of Neural Cliques”, J. Neurocomputing, Vol. 69, pp. 1475-1484, 2006.
  61. C. Sagiv, N.A. Sochen and Y.Y. Zeevi, “The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties“, Journal of Mathematical Imaging and Vision, Springer-Verlag, Vol. 26, No. 1-2, pp. 149-166, 2006.
  62. E. Appelboim, E. Saucan and Y.Y. Zeevi, “Quasi-Conformal Flat Representation of Triangulated Surfaces for Computerized Tomography“, Reinhard R. Beichel and Milan Sonka (Eds.), Springer-Verlag, LNCS 4241, pp. 155-165, 2006.
  63. E. Saucan, E. Appleboim and Y.Y. Zeevi, “Geometric Sampling of Manifolds for Image Representation and Processing“, F. Sgallari, A. Murli, and N. Paragios (Eds.): SSVM 2007, Springer-Verlag, Springer Lecture Notes in Computer Science, Vol. 4485, pp. 907-918, 2007.
  64. N.K. Subbanna and Y.Y. Zeevi, “Existence Conditions for Discrete Noncanonical Multiwindow Gabor Schemes“, IEEE Trans. on Signal Processing, Vol. 55, No. 10, pp. 5113-5117 , Oct. 2007.
  65. E. Saucan, E. Appleboim and Y. Y. Zeevi, “Image Projection and Representation on Sn”, J. Fourier Analysis & Applications, Vol. 13, No. 6, December 2007, pp. 711-727.
  66. V. Kluzner, G. Volansky and Y.Y. Zeevi, “A Geometric-Functional-Based Image Segmentation and Inpainting“, SSVM 2007, A Murli, F. Sgallari and N. Paragios (Eds.), Springer-Verlag, Lecture Notes in Computer Science, Vol. 4485, pp. 165-177, 2007.
  67. E. Saucan, E. Appelboim and Y. Y. Zeevi, “Sampling and Reconstruction of Surfaces and Higher Dimensional Manifolds”, J. Math. Imaging and Vision, Vol. 30, No. 1, pp. 105-123, Jan. 2008 .
  68. N.K. Subbanna and Y.Y. Zeevi, “Macromolecule Sequence Analysis Using Multiwindow Gabor Representations“, Signal Processing, Vol. 88, pp. 877-890, 2008..
  69. C. Sagiv, N. A. Sochen and Y. Y. Zeevi, “Two-Dimensional Affine Frame for Image Analysis and Synthesis“, Appl. Comput. Harmon. Anal. 24 (2008) 174-194.
  70. E. Saucan, E. Appleboim, E. Barak-Shimron, R. Lev and Y.Y. Zeevi, “Local versus Global in Quasi-Conformal Mapping for Medical Imaging“, J. Math. Imaging and Vision, Vol. 32, No. 3, pp. 293-311, 2008.
  71. K. Odinaev, I. Raichelgauz and Y.Y. Zeevi, “Mapping of Natural Patterns by Liquid Architectures Implementing Neural Cliques“, Applications of Soft Computing: Recent Trends, A. Tiwari, J. Knowles, E. Avineri, K. Dahav and R. Roy, Editors, Springer, pp. 123-132, 2009.
  72. V. Kluzner, G. Volansky and Y. Y. Zeevi, “Geometric Approach to Measure-Based Metric in Image Segmentation’‘, J. Math. Imaging and Vision, Vol. 33, No. 3, pp. 360-378, 2009.
  73. I. Raichelgauz, K. Odinaev and Y.Y. Zeevi, “Closed-Loop Liquid Neural Architectures”, Neurocomputing (Invited Paper).
  74. V. Ratner and Y.Y. Zeevi, “Denoising-Enhancement Images on Elastic Manifolds“, IEEE Trans. IP, Vol. 20, No. 8,  pp. 2099-2109, August 2011.
  75. E. Saucan, E. Appelboim and Y.Y. Zeevi, “Geometric Approach to Sampling and Communication“, J. Sampling Theory in Signal and Image Processing, Vol. 11, No. 1, pp. 1-24, 2012.
  76. R. Kaftory and Y.Y. Zeevi, “Blind Separation of Time/Position Varying Mixtures“, IEEE Trans. IP, Vol. 22, No. 1, pp. 104-118, 2013.
  77. I. Zachevsky and Y. Y. Zeevi, “Single-Image Superresolution of Natural Stochastic Images Based on Fractional Brownian Motion“, IEEE Trans. IP, Vol. 23, No. 5,  pp. 2096-2108, August 2014.
  78. S. Furman and Y.Y. Zeevi, “Multidimensional Gain Control in Image Representation and Processing in Vision“, Biological Cybernetics, Published online Nov. 2014.
  79. I. Zachevsky and Y. Y. Zeevi, “Statistics of Natural Stochastic Textures and Their Application in Image Denoising“, IEEE Trans. IP, Vol. 25, No. 5, pp. 2130-2145, 2016.
  80. A. Naitsat, S. Cheng, X. Qu, X. Fan, E. Saucan and Y.Y. Zeevi, “Geometric Approach to Detecting Volumetric Changes in Medical Images“, Journal of Comp. and Applied Mathematics, Vol. 329, pp. 37-50, 2018.
  81. A. Naitsat, E. Saucan and Y.Y. Zeevi, “Geometry-based distortion measures for space deformation“, Graphical Models, Vol. 100, pp. 12-25, Nov. 2018.
  82. I. Zachevsky and Y. Y. Zeevi, “Modelling local phase of images and textures with applications in phase denoising and phase retrieval”,  arXiv:1810.00403.
  83. I. Zachevsky and Y. Y. Zeevi, “Blind Deblurring of Natural Stochastic Textures Using an Anisotropic Fractal Model and Phase Retrieval Algorithm“, IEEE Trans. on Image Processing, Vol. 28, No. 2, pp. 937-951, February 2019.
  84. A. Naitsat, Y. Zhu and Y. Y. Zeevi, “Adaptive Block Coordinate Descent for Distortion Optimization“, Computer Graphics Forum (CGF), Vol. 39, No. 6, pp. 360-376, June 2020.
  85. A. Chocron, J. Oster, S. Biton, M. Franck Mendel, M. Elbaz, Y. Y. Zeevi and J. Behar, “Remote Atrial Fibrillation Burden Estimation Using Deep Recurrent Neural Networks“, IEEE Trans. on Biomedical Eng., Vol. 68, No. 8, pp. 2447-2455, Aug. 2021.
  86. A. Naitsat, G. Naitsat and Y. Y. Zeevi, “On Inversion-Free Mapping and Distortion Minimization”, Journal of Mathematical Imaging and Vision, Vol. 63, pp. 974-1009, June 2021.
  87. J. Levy, A. Naitsat and Y. Y. Zeevi, “Distortion Measure of Spectrograms for Classification of Respiratory Diseases”, arXiv:2106.02429, 4 June 2021.