| 2009 | ||
|---|---|---|
| 86 | Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. ICANN (1) 2009: 50-59 | |
| 85 | Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis: Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection. ICANN (1) 2009: 942-951 | |
| 84 | Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors. IEEE Transactions on Image Processing 18(4): 753-764 (2009) | |
| 83 | Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines. Pattern Recognition Letters 30(1): 55-65 (2009) | |
| 2008 | ||
| 82 | Giorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos: Edge preserving spatially varying mixtures for image segmentation. CVPR 2008 | |
| 81 | Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. ICANN (1) 2008: 847-856 | |
| 80 | Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis: Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models. ICTAI (1) 2008: 141-148 | |
| 79 | Giorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos, Christian Heinrich: MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model. MICCAI (1) 2008: 43-50 | |
| 78 | Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Incremental Relevance Vector Machine with Kernel Learning. SETN 2008: 301-312 | |
| 77 | Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas: A Sparse Regression Mixture Model for Clustering Time-Series. SETN 2008: 64-72 | |
| 76 | Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: Video rushes summarization using spectral clustering and sequence alignment. TVS 2008: 75-79 | |
| 75 | Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos: A Support Vector Machine Approach for Video Shot Detection. New Directions in Intelligent Interactive Multimedia 2008: 45-54 | |
| 74 | Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas, Michael Saunders: Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior. IEEE Transactions on Image Processing 17(10): 1795-1805 (2008) | |
| 73 | Antonis Mairgiotis, Nikolas P. Galatsanos, Yongyi Yang: New Additive Watermark Detectors Based On A Hierarchical Spatially Adaptive Image Model. IEEE Transactions on Information Forensics and Security 3(1): 29-37 (2008) | |
| 72 | Konstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos: A Regression Mixture Model with Spatial Constraints for Clustering Spatiotemporal Data. International Journal on Artificial Intelligence Tools 17(5): 1023-1041 (2008) | |
| 2007 | ||
| 71 | Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Variational Bayesian Blind Image Deconvolution with Student-T Priors. ICIP (1) 2007: 109-112 | |
| 70 | Giorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos: Robust Image Segmentation with Mixtures of Student's t-Distributions. ICIP (1) 2007: 273-276 | |
| 69 | Antonis Mairgiotis, Nikolas P. Galatsanos, Yongyi Yang: Additive Watermark Detectors Based on a New Hierarchical Spatially Adaptive Image Model. ICIP (5) 2007: 461-464 | |
| 68 | Konstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos: Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data. ICTAI (1) 2007: 529-535 | |
| 67 | Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Robust variational bayesian kernel based blind image deconvolution. VISAPP (Special Sessions) 2007: 143-150 | |
| 66 | Ana S. Lukic, Miles N. Wernick, Dimitris Tzikas, X. Chen, Aristidis Likas, Nikolas P. Galatsanos, Yongyi Yang, E. Zhao, Stephen C. Strother: Bayesian Kernel Methods for Analysis of Functional Neuroimages. IEEE Trans. Med. Imaging 26(12): 1613-1624 (2007) | |
| 65 | Christophoros Nikou, Nikolas P. Galatsanos, Aristidis Likas: A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation. IEEE Transactions on Image Processing 16(4): 1121-1130 (2007) | |
| 64 | Giannis K. Chantas, Nikolas P. Galatsanos, Nathan A. Woods: Super-Resolution Based on Fast Registration and Maximum a Posteriori Reconstruction. IEEE Transactions on Image Processing 16(7): 1821-1830 (2007) | |
| 63 | Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Large Scale Multikernel Relevance Vector Machine for Object Detection. International Journal on Artificial Intelligence Tools 16(6): 967-979 (2007) | |
| 2006 | ||
| 62 | Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis: A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models. ICANN (2) 2006: 84-93 | |
| 61 | Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Large Scale Multikernel RVM for Object Detection. SETN 2006: 389-399 | |
| 60 | Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K. Katsaggelos: Stochastic methods for joint registration, restoration, and interpolation of multiple undersampled images. IEEE Transactions on Image Processing 15(1): 201-213 (2006) | |
| 59 | Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas: Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior. IEEE Transactions on Image Processing 15(10): 2987-2997 (2006) | |
| 2005 | ||
| 58 | Giorgos Sfikas, Constantinos Constantinopoulos, Aristidis Likas, Nikolas P. Galatsanos: An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval. ICANN (2) 2005: 835-840 | |
| 57 | Nathan A. Woods, Nikolas P. Galatsanos: Non-stationary approximate Bayesian super-resolution using a hierarchical prior model. ICIP (1) 2005: 37-40 | |
| 56 | John Chantas, Nikolas P. Galatsanos, Aristidis Likas: Maximum a posteriori image restoration based on a new directional continuous edge image prior. ICIP (1) 2005: 941-944 | |
| 55 | Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick: Generalized likelihood ratio test based algorithms for object recognition in photon-limited images. ICIP (3) 2005: 525-528 | |
| 54 | Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris: Mixture model analysis of DNA microarray images. IEEE Trans. Med. Imaging 24(7): 901-909 (2005) | |
| 53 | Ping Dong, Jovan G. Brankov, Nikolas P. Galatsanos, Yongyi Yang, F. Davoine: Digital watermarking robust to geometric distortions. IEEE Transactions on Image Processing 14(12): 2140-2150 (2005) | |
| 2004 | ||
| 52 | Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas: Non Stationary Bayesian Image Restoration. ICPR (4) 2004: 689-692 | |
| 51 | Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick: Relevance Vector Machine Analysis of Functional Neuroimages. ISBI 2004: 1004-1007 | |
| 50 | Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick: Mammogram Retrieval Based On Incremental Learning. ISBI 2004: 1163-1166 | |
| 49 | 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. ISBI 2004: 868-871 | |
| 48 | 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. IEEE Trans. Med. Imaging 23(10): 1233-1244 (2004) | |
| 2003 | ||
| 47 | Ping Dong, Nikolas P. Galatsanos: Geometric robust watermarking through watermark pattern shaping. ICIP (1) 2003: 493-496 | |
| 46 | Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick: Relevance feedback based on incremental learning for mammogram retrieval. ICIP (1) 2003: 729-732 | |
| 45 | Konstantinos Blekas, Nikolas P. Galatsanos, I. Georgiou: An unsupervised artifact correction approach for the analysis of DNA microarray images. ICIP (2) 2003: 165-168 | |
| 44 | Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K. Katsaggelos: EM-based simultaneous registration, restoration, and interpolation of super-resolved images. ICIP (2) 2003: 303-306 | |
| 43 | Aristidis Likas, Nikolas P. Galatsanos: A variational method for Bayesian blind image deconvolution. ICIP (2) 2003: 973-976 | |
| 42 | Jovan G. Brankov, Yongyi Yang, Nikolas P. Galatsanos: Image restoration using content-adaptive mesh modeling. ICIP (2) 2003: 997-1000 | |
| 2002 | ||
| 41 | Jovan G. Brankov, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick: Similarity based clustering using the expectation maximization algorithm. ICIP (1) 2002: 97-100 | |
| 40 | Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick: ML and Bayesian impulse restoration based object recognition in photon limited noise. ICIP (2) 2002: 837-840 | |
| 39 | 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. ICIP (2) 2002: 953-956 | |
| 38 | 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. ICIP (3) 2002: 133-136 | |
| 37 | Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos: Content-based image retrieval for digital mammography. ICIP (3) 2002: 141-144 | |
| 36 | Ping Dong, Nikolas P. Galatsanos: Affine transformation resistant watermarking based on image normalization. ICIP (3) 2002: 489-492 | |
| 35 | Ping Dong, Jovan G. Brankov, Nikolas P. Galatsanos, Yongyi Yang: Geometric robust watermarking based on a new mesh model correction approach. ICIP (3) 2002: 493-496 | |
| 34 | Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa: Support vector machine learning for detection of microcalcifications in mammograms. ISBI 2002: 201-204 | |
| 33 | Liu Li, Nikolas P. Galatsanos, Diane Bless: Eigenfolds: a new approach for analysis of vibrating vocal folds. ISBI 2002: 589-592 | |
| 32 | Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa: A Support Vector Machine Approach for Detection of Microcalcifications. IEEE Trans. Med. Imaging 21(11): 1552-1563 (2002) | |
| 31 | Roger M. Dufour, Eric L. Miller, Nikolas P. Galatsanos: Template matching based object recognition with unknown geometric parameters. IEEE Transactions on Image Processing 11(12): 1385-1396 (2002) | |
| 2001 | ||
| 30 | Boris Marendic, Nikolas P. Galatsanos, Diane Bless: New active contour algorithm for tracking vibrating vocal folds. ICIP (1) 2001: 397-400 | |
| 2000 | ||
| 29 | Issam El-Naqa, Miles N. Wernick, Yongyi Yang, Nikolas P. Galatsanos: Image Retrieval Based on Similarity Learning. ICIP 2000 | |
| 28 | Roger M. Dufour, Eric L. Miller, Nikolas P. Galatsanos: Impulse Restoration Template Matching Under Geometric Uncertainties. ICIP 2000 | |
| 27 | Nikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina, Aggelos K. Katsaggelos: Hierarchical Bayesian image restoration from partially known blurs. IEEE Transactions on Image Processing 9(10): 1784-1797 (2000) | |
| 1999 | ||
| 26 | Chun-Jen Tsai, Passant V. Karunaratne, Nikolas P. Galatsanos, Aggelos K. Katsaggelos: A Compressed Video Enhancement Algorithm. ICIP (3) 1999: 454-458 | |
| 25 | Jovan G. Brankov, Jaksa Djordjevic, Miles N. Wernick, Nikolas P. Galatsanos: Tomographic Image Reconstruction for Systems with Partially-Known Blur. ICIP (3) 1999: 881-885 | |
| 24 | Chun-Jen Tsai, Nikolas P. Galatsanos, Aggelos K. Katsaggelos: Maximum-likelihood optical flow estimation using differential constraints. NSIP 1999: 53-56 | |
| 23 | Wenwu Zhu, Yao Wang, Nikolas P. Galatsanos, Jun Zhang: Regularized total least squares approach for nonconvolutional linear inverse problems. IEEE Transactions on Image Processing 8(11): 1657-1661 (1999) | |
| 1998 | ||
| 22 | Yongyi Yang, Mungi Choi, Nikolas P. Galatsanos: New Results on Multichannel Regularized Recovery of Compressed Video. ICIP (1) 1998: 391-395 | |
| 21 | Vania V. Estrela, Nikolas P. Galatsanos: Spatially-Adaptive Regularized Pel-Recursive Motion Estimation based on Cross-Validation. ICIP (2) 1998: 200-203 | |
| 20 | Chun-Jen Tsai, Nikolas P. Galatsanos, Aggelos K. Katsaggelos: Total Least Squares Estimation of Stereo Optical Flow. ICIP (2) 1998: 622-626 | |
| 19 | Nikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina: Two Bayesian Image Restoration Algorithms from Partially-Known Blurs. ICIP (2) 1998: 93-97 | |
| 1997 | ||
| 18 | Wenwu Zhu, Yao Wang, Nikolas P. Galatsanos, Jun Zhang: Regularized Total Least Squares Reconstruction for Optical Tomographic Imaging Using Conjugate Gradient Method. ICIP (1) 1997: 192- | |
| 17 | Mungi Choi, Yongyi Yang, Nikolas P. Galatsanos: Regularized Multichannel Recovery of Compressed Video. ICIP (1) 1997: 271-274 | |
| 16 | Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick: Impulse restoration-based template-matching using the expectation-maximization algorithm. ICIP (3) 1997: 158-161 | |
| 15 | Yongyi Yang, Nikolas P. Galatsanos: Removal of compression artifacts using projections onto convex sets and line process modeling. IEEE Transactions on Image Processing 6(10): 1345-1357 (1997) | |
| 1996 | ||
| 14 | Abdul Karim Saadah, Nikolas P. Galatsanos, Diane Bless, Anie Ramos: Deformation Analysis of the Vibrational Patterns of the Vocal Folds. Bildverarbeitung für die Medizin 1996 | |
| 1995 | ||
| 13 | Vladimir Z. Mesarovic, Nikolas P. Galatsanos, Miles N. Wernick: Iterative maximum a posteriori (MAP) restoration from partially-known blur for tomographic reconstruction. ICIP 1995: 2512-2515 | |
| 12 | Wenwu Zhu, Nikolas P. Galatsanos, Aggelos K. Katsaggelos: Regularized Multichannel Restoration Using Cross-Validation. CVGIP: Graphical Model and Image Processing 57(1): 38-54 (1995) | |
| 11 | Vladimir Z. Mesarovic, Nikolas P. Galatsanos, Aggelos K. Katsaggelos: Regularized constrained total least squares image restoration. IEEE Transactions on Image Processing 4(8): 1096-1108 (1995) | |
| 10 | Yongyi Yang, Nikolas P. Galatsanos, Aggelos K. Katsaggelos: Projection-based spatially adaptive reconstruction of block-transform compressed images. IEEE Transactions on Image Processing 5(7): 896-908 (1995) | |
| 1994 | ||
| 9 | Steve S. Yu, Miles N. Wernick, Nikolas P. Galatsanos: Lossless Compression of Multi-Dimensional Medical Image Data using Binary-Decomposed High-Order Entropy Coding. ICIP (2) 1994: 351-355 | |
| 8 | Yongyi Yang, Nikolas P. Galatsanos: Edge-Preserving Reconstruction of Compressed Images Using Projections and a Divide-and-Conquer Strategy. ICIP (2) 1994: 535-539 | |
| 7 | Vladimir Z. Mesarovic, Nikolas P. Galatsanos: Map and Regularized Constrained Total Least-Squares Image Restoration. ICIP (3) 1994: 177-181 | |
| 6 | Yongyi Yang, Henry Stark, Nikolas P. Galatsanos: Gradient-Projection Blind Deconvolution. ICIP (3) 1994: 192-196 | |
| 5 | Brian C. Tom, Aggelos K. Katsaggelos, Nikolas P. Galatsanos: Reconstruction of a High Resolution Image from Registration and Restoration of Low Resolution Images. ICIP (3) 1994: 553-557 | |
| 4 | Mark R. Banham, Nikolas P. Galatsanos, Hector L. Gonzalez, Aggelos K. Katsaggelos: Multichannel restoration of single channel images using a wavelet-based subband decomposition. IEEE Transactions on Image Processing 3(6): 821-833 (1994) | |
| 1993 | ||
| 3 | Aggelos K. Katsaggelos, Kuen-Tsair Lay, Nikolas P. Galatsanos: A general framework for frequency domain multi-channel signal processing. IEEE Transactions on Image Processing 2(3): 417-420 (1993) | |
| 1992 | ||
| 2 | Nikolas P. Galatsanos, Aggelos K. Katsaggelos: Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation. IEEE Transactions on Image Processing 1(3): 322-336 (1992) | |
| 1 | Yunming Huang, Howard M. Dreizen, Nikolas P. Galatsanos: Prioritized DCT for compression and progressive transmission of images. IEEE Transactions on Image Processing 1(4): 477-487 (1992) | |