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Nikolas P. Galatsanos: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Abdul Karim Saadah, Nikolas P. Galatsanos, Diane Bless, Anie Ramos
    Deformation Analysis of the Vibrational Patterns of the Vocal Folds. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 1996, pp:- [Conf]
  2. Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis
    A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:84-93 [Conf]
  3. G. Sfikas, Constantinos Constantinopoulos, Aristidis Likas, Nikolas P. Galatsanos
    An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:835-840 [Conf]
  4. Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick
    ML and Bayesian impulse restoration based object recognition in photon limited noise. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2002, pp:837-840 [Conf]
  5. Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick
    Impulse restoration-based template-matching using the expectation-maximization algorithm. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1997, pp:158-161 [Conf]
  6. Konstantinos Blekas, Nikolas P. Galatsanos, I. Georgiou
    An unsupervised artifact correction approach for the analysis of DNA microarray images. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:165-168 [Conf]
  7. Jovan G. Brankov, Jaksa Djordjevic, Miles N. Wernick, Nikolas P. Galatsanos
    Tomographic Image Reconstruction for Systems with Partially-Known Blur. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1999, pp:881-885 [Conf]
  8. Jovan G. Brankov, Yongyi Yang, Nikolas P. Galatsanos
    Image restoration using content-adaptive mesh modeling. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:997-1000 [Conf]
  9. Jovan G. Brankov, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick
    Similarity based clustering using the expectation maximization algorithm. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:97-100 [Conf]
  10. Mungi Choi, Yongyi Yang, Nikolas P. Galatsanos
    Regularized Multichannel Recovery of Compressed Video. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1997, pp:271-274 [Conf]
  11. Ping Dong, Jovan G. Brankov, Nikolas P. Galatsanos, Yongyi Yang
    Geometric robust watermarking based on a new mesh model correction approach. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2002, pp:493-496 [Conf]
  12. Ping Dong, Nikolas P. Galatsanos
    Affine transformation resistant watermarking based on image normalization. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2002, pp:489-492 [Conf]
  13. Ping Dong, Nikolas P. Galatsanos
    Geometric robust watermarking through watermark pattern shaping. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:493-496 [Conf]
  14. Roger M. Dufour, Eric L. Miller, Nikolas P. Galatsanos
    Impulse Restoration Template Matching Under Geometric Uncertainties. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  15. Issam El-Naqa, Miles N. Wernick, Yongyi Yang, Nikolas P. Galatsanos
    Image Retrieval Based on Similarity Learning. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  16. Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick
    Relevance feedback based on incremental learning for mammogram retrieval. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:729-732 [Conf]
  17. Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos
    Content-based image retrieval for digital mammography. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2002, pp:141-144 [Conf]
  18. Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
    A support vector machine approach for detection of microcalcifications in mammograms. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2002, pp:953-956 [Conf]
  19. Vania V. Estrela, Nikolas P. Galatsanos
    Spatially-Adaptive Regularized Pel-Recursive Motion Estimation based on Cross-Validation. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1998, pp:200-203 [Conf]
  20. Nikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina
    Two Bayesian Image Restoration Algorithms from Partially-Known Blurs. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1998, pp:93-97 [Conf]
  21. Aristidis Likas, Nikolas P. Galatsanos
    A variational method for Bayesian blind image deconvolution. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:973-976 [Conf]
  22. Ana S. Lukic, Miles N. Wernick, Nikolas P. Galatsanos, Yongyi Yang, Stephen C. Strother
    A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2002, pp:133-136 [Conf]
  23. Boris Marendic, Nikolas P. Galatsanos, Diane Bless
    New active contour algorithm for tracking vibrating vocal folds. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2001, pp:397-400 [Conf]
  24. Vladimir Z. Mesarovic, Nikolas P. Galatsanos
    Map and Regularized Constrained Total Least-Squares Image Restoration. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1994, pp:177-181 [Conf]
  25. Vladimir Z. Mesarovic, Nikolas P. Galatsanos, Miles N. Wernick
    Iterative maximum a posteriori (MAP) restoration from partially-known blur for tomographic reconstruction. [Citation Graph (0, 0)][DBLP]
    ICIP, 1995, pp:2512-2515 [Conf]
  26. Brian C. Tom, Aggelos K. Katsaggelos, Nikolas P. Galatsanos
    Reconstruction of a High Resolution Image from Registration and Restoration of Low Resolution Images. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1994, pp:553-557 [Conf]
  27. Chun-Jen Tsai, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
    Total Least Squares Estimation of Stereo Optical Flow. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1998, pp:622-626 [Conf]
  28. Chun-Jen Tsai, Passant V. Karunaratne, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
    A Compressed Video Enhancement Algorithm. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1999, pp:454-458 [Conf]
  29. Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
    EM-based simultaneous registration, restoration, and interpolation of super-resolved images. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:303-306 [Conf]
  30. Yongyi Yang, Mungi Choi, Nikolas P. Galatsanos
    New Results on Multichannel Regularized Recovery of Compressed Video. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1998, pp:391-395 [Conf]
  31. Yongyi Yang, Nikolas P. Galatsanos
    Edge-Preserving Reconstruction of Compressed Images Using Projections and a Divide-and-Conquer Strategy. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1994, pp:535-539 [Conf]
  32. Yongyi Yang, Henry Stark, Nikolas P. Galatsanos
    Gradient-Projection Blind Deconvolution. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1994, pp:192-196 [Conf]
  33. Steve S. Yu, Miles N. Wernick, Nikolas P. Galatsanos
    Lossless Compression of Multi-Dimensional Medical Image Data using Binary-Decomposed High-Order Entropy Coding. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1994, pp:351-355 [Conf]
  34. Wenwu Zhu, Yao Wang, Nikolas P. Galatsanos, Jun Zhang
    Regularized Total Least Squares Reconstruction for Optical Tomographic Imaging Using Conjugate Gradient Method. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1997, pp:192-0 [Conf]
  35. Nathan A. Woods, Nikolas P. Galatsanos
    Non-stationary approximate Bayesian super-resolution using a hierarchical prior model. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2005, pp:37-40 [Conf]
  36. John Chantas, Nikolas P. Galatsanos, Aristidis Likas
    Maximum a posteriori image restoration based on a new directional continuous edge image prior. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2005, pp:941-944 [Conf]
  37. Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick
    Generalized likelihood ratio test based algorithms for object recognition in photon-limited images. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2005, pp:525-528 [Conf]
  38. Giannis Chantas, Nikolas P. Galatsanos, Aristidis Likas
    Non Stationary Bayesian Image Restoration. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2004, pp:689-692 [Conf]
  39. Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick
    Mammogram Retrieval Based On Incremental Learning. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:1163-1166 [Conf]
  40. Ana S. Lukic, Miles N. Wernick, Yongyi Yang, Nikolas P. Galatsanos, Stephen C. Strother
    Reversible Jump Markov Chain Monte Carlo Signal Detection In Functional Neuroimaging Analysis. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:868-871 [Conf]
  41. Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick
    Relevance Vector Machine Analysis of Functional Neuroimages. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:1004-1007 [Conf]
  42. Liu Li, Nikolas P. Galatsanos, Diane Bless
    Eigenfolds: a new approach for analysis of vibrating vocal folds. [Citation Graph (0, 0)][DBLP]
    ISBI, 2002, pp:589-592 [Conf]
  43. Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
    Support vector machine learning for detection of microcalcifications in mammograms. [Citation Graph (0, 0)][DBLP]
    ISBI, 2002, pp:201-204 [Conf]
  44. Chun-Jen Tsai, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
    Maximum-likelihood optical flow estimation using differential constraints. [Citation Graph (0, 0)][DBLP]
    NSIP, 1999, pp:53-56 [Conf]
  45. Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
    Large Scale Multikernel RVM for Object Detection. [Citation Graph (0, 0)][DBLP]
    SETN, 2006, pp:389-399 [Conf]
  46. Wenwu Zhu, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
    Regularized Multichannel Restoration Using Cross-Validation. [Citation Graph (0, 0)][DBLP]
    CVGIP: Graphical Model and Image Processing, 1995, v:57, n:1, pp:38-54 [Journal]
  47. Mark R. Banham, Nikolas P. Galatsanos, Hector L. Gonzalez, Aggelos K. Katsaggelos
    Multichannel restoration of single channel images using a wavelet-based subband decomposition. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1994, v:3, n:6, pp:821-833 [Journal]
  48. Ping Dong, Jovan G. Brankov, Nikolas P. Galatsanos, Yongyi Yang, F. Davoine
    Digital watermarking robust to geometric distortions. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2005, v:14, n:12, pp:2140-2150 [Journal]
  49. Roger M. Dufour, Eric L. Miller, Nikolas P. Galatsanos
    Template matching based object recognition with unknown geometric parameters. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2002, v:11, n:12, pp:1385-1396 [Journal]
  50. Nikolas P. Galatsanos, Aggelos K. Katsaggelos
    Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1992, v:1, n:3, pp:322-336 [Journal]
  51. Nikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina, Aggelos K. Katsaggelos
    Hierarchical Bayesian image restoration from partially known blurs. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2000, v:9, n:10, pp:1784-1797 [Journal]
  52. Yunming Huang, Howard M. Dreizen, Nikolas P. Galatsanos
    Prioritized DCT for compression and progressive transmission of images. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1992, v:1, n:4, pp:477-487 [Journal]
  53. Aggelos K. Katsaggelos, Kuen-Tsair Lay, Nikolas P. Galatsanos
    A general framework for frequency domain multi-channel signal processing. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1993, v:2, n:3, pp:417-420 [Journal]
  54. Vladimir Z. Mesarovic, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
    Regularized constrained total least squares image restoration. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1995, v:4, n:8, pp:1096-1108 [Journal]
  55. Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
    Stochastic methods for joint registration, restoration, and interpolation of multiple undersampled images. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:1, pp:201-213 [Journal]
  56. Yongyi Yang, Nikolas P. Galatsanos
    Removal of compression artifacts using projections onto convex sets and line process modeling. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1997, v:6, n:10, pp:1345-1357 [Journal]
  57. Yongyi Yang, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
    Projection-based spatially adaptive reconstruction of block-transform compressed images. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1995, v:5, n:7, pp:896-908 [Journal]
  58. Wenwu Zhu, Yao Wang, Nikolas P. Galatsanos, Jun Zhang
    Regularized total least squares approach for nonconvolutional linear inverse problems. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1999, v:8, n:11, pp:1657-1661 [Journal]
  59. Giannis Chantas, Nikolas P. Galatsanos, Aristidis Likas
    Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:10, pp:2987-2997 [Journal]
  60. Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris
    Mixture model analysis of DNA microarray images. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:7, pp:901-909 [Journal]
  61. Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Robert M. Nishikawa, Miles N. Wernick
    A similarity learning approach to content-based image retrieval: application to digital mammography. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2004, v:23, n:10, pp:1233-1244 [Journal]
  62. Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
    A Support Vector Machine Approach for Detection of Microcalcifications. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2002, v:21, n:11, pp:1552-1563 [Journal]
  63. Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
    Robust variational bayesian kernel based blind image deconvolution. [Citation Graph (0, 0)][DBLP]
    VISAPP (Special Sessions), 2007, pp:143-150 [Conf]
  64. Christophoros Nikou, Nikolas P. Galatsanos, Aristidis Likas
    A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2007, v:16, n:4, pp:1121-1130 [Journal]
  65. Giannis K. Chantas, Nikolas P. Galatsanos, Nathan A. Woods
    Super-Resolution Based on Fast Registration and Maximum a Posteriori Reconstruction. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2007, v:16, n:7, pp:1821-1830 [Journal]

  66. Edge preserving spatially varying mixtures for image segmentation. [Citation Graph (, )][DBLP]


  67. Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. [Citation Graph (, )][DBLP]


  68. Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. [Citation Graph (, )][DBLP]


  69. Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection. [Citation Graph (, )][DBLP]


  70. Variational Bayesian Blind Image Deconvolution with Student-T Priors. [Citation Graph (, )][DBLP]


  71. Robust Image Segmentation with Mixtures of Student's t-Distributions. [Citation Graph (, )][DBLP]


  72. Additive Watermark Detectors Based on a New Hierarchical Spatially Adaptive Image Model. [Citation Graph (, )][DBLP]


  73. Maximum a posteriori super-resolution of compressed video using a new multichannel image prior. [Citation Graph (, )][DBLP]


  74. Joint recovery and segmentation of polarimetric images using a compound MRF and mixture modeling. [Citation Graph (, )][DBLP]


  75. Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data. [Citation Graph (, )][DBLP]


  76. Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models. [Citation Graph (, )][DBLP]


  77. Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval. [Citation Graph (, )][DBLP]


  78. MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model. [Citation Graph (, )][DBLP]


  79. Video rushes summarization using spectral clustering and sequence alignment. [Citation Graph (, )][DBLP]


  80. Incremental Relevance Vector Machine with Kernel Learning. [Citation Graph (, )][DBLP]


  81. A Sparse Regression Mixture Model for Clustering Time-Series. [Citation Graph (, )][DBLP]


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