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Publications with a 'Nikolas P. Galatsanos' as author, editor, or advisor:

A Spatially-Constrained Mixture Model for Image SegmentationBlekas, K., Likas, A., Galatsanos, N. P., Lagaris. I.E., Konstantinos Blekas, Aristidis Likas, A., Nikolas P. Galatsanos, I. E. Lagaris. IEEE Tansactions on Neural Networks, 16:494-498, 2005.
A Sparse Regression Mixture Model for Clustering Time-SeriesKonstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas. setn 2008: 64-72 [doi]
Allpass filter design using projection-based method under group delay constraintsKhalil C. Haddad, Yongyi Yang, Nikolas P. Galatsanos, Henry Stark. icassp 2001: 3833-3836 [doi]
Large Scale Multikernel RVM for Object DetectionDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos. setn 2006: 389-399 [doi]
Sparse Bayesian Modeling With Adaptive Kernel LearningDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos. tnn, 20(6):926-937, 2009. [doi]
Regularized Multichannel Recovery of Compressed VideoMungi Choi, Yongyi Yang, Nikolas P. Galatsanos. icip 1997: 271-274 [doi]
Hierarchical Bayesian image restoration from partially known blursNikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina, Aggelos K. Katsaggelos. TIP, 9(10):1784-1797, 2000. [doi]
Multichannel regularized iterative restoration of image sequencesMungi Choi, Ozan E. Erdogan, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. vcip 1993: [doi]
Spatially Varying Mixtures Incorporating Line Processes for Image SegmentationGiorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos, Christian Heinrich. jmiv, 36(2):91-110, 2010. [doi]
Optical flow estimation from noisy data using differential techniquesChun-Jen Tsai, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. icassp 1999: 3393-3396 [doi]
New Additive Watermark Detectors Based On A Hierarchical Spatially Adaptive Image ModelAntonis Mairgiotis, Nikolas P. Galatsanos, Yongyi Yang. tifs, 3(1):29-37, 2008. [doi]
Multichannel restoration of single channel images using a wavelet decompositionMark R. Banham, Hector L. Gonzalez, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. icassp 1993: 281-284 [doi]
Digital restoration of multichannel imagesNikolas P. Galatsanos, Roland T. Chin. tsp, 37(3):415-421, 1989. [doi]
Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image RetrievalApostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis. ifip12 2009: 249-258 [doi]
Edge preserving spatially varying mixtures for image segmentationGiorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos. cvpr 2008: [doi]
Content-based image retrieval for digital mammographyIssam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos. icip 2002: 141-144
Mixture model analysis of DNA microarray imagesKonstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris. tmi, 24(7):901-909, 2005. [doi]
Lossless Compression of Multi-Dimensional Medical Image Data using Binary-Decomposed High-Order Entropy CodingSteve S. Yu, Miles N. Wernick, Nikolas P. Galatsanos. icip 1994: 351-355
Scene Detection in Videos Using Shot Clustering and Sequence AlignmentVasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos. tmm, 11(1):89-100, 2009. [doi]
Maximum-likelihood optical flow estimation using differential constraintsChun-Jen Tsai, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. nsip 1999: 53-56
A variational approach for Bayesian blind image deconvolutionAristidis Likas, Nikolas P. Galatsanos. tsp, 52(8):2222-2233, 2004. [doi]
Regularized total least squares approach for nonconvolutional linear inverse problemsWenwu Zhu, Yao Wang, Nikolas P. Galatsanos, Jun Zhang. TIP, 8(11):1657-1661, 1999. [doi]
Eigenfolds: a new approach for analysis of vibrating vocal foldsLiu Li, Nikolas P. Galatsanos, Diane Bless. isbi 2002: 589-592 [doi]
An unsupervised artifact correction approach for the analysis of DNA microarray imagesKonstantinos Blekas, Nikolas P. Galatsanos, I. Georgiou. icip 2003: 165-168
Marginal analysis prioritization for image compression based on a hierarchical wavelet decompositionZixiang Xiong, Nikolas P. Galatsanos, Michael T. Orchard. icassp 1993: 546-549 [doi]
Projection-based spatially adaptive reconstruction of block-transform compressed imagesYongyi Yang, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. TIP, 5(7):896-908, 1995. [doi]
Maximum a Posteriori Video Super-Resolution Using a New Multichannel Image PriorStefanos P. Belekos, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. TIP, 19(6):1451-1464, 2010. [doi]
Regularized reconstruction to remove blocking artifacts from block discrete cosine transform compressed imagesYongyi Yang, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. vcip 1993: [doi]
A Support Vector Machine Approach for Detection of MicrocalcificationsIssam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa. tmi, 21(11):1552-1563, 2002.
Majorization-minimization mixture model determination in image segmentationGiorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos, Christian Heinrich. cvpr 2011: 2169-2176 [doi]
Non Stationary Bayesian Image RestorationGiannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas. icpr 2004: 689-692 [doi]
Image restoration using content-adaptive mesh modelingJovan G. Brankov, Yongyi Yang, Nikolas P. Galatsanos. icip 2003: 997-1000
Robust Image Segmentation with Mixtures of Student s t-DistributionsGiorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos. icip 2007: 273-276 [doi]
Hierarchical Bayesian image restoration from partially-known blursVladimir Z. Mesarovic, Nikolas P. Galatsanos, Rafael Molina, Aggelos K. Katsaggelos. icassp 1998: 2905-2908 [doi]
Joint recovery and segmentation of polarimetric images using a compound MRF and mixture modelingGiorgos Sfikas, Christian Heinrich, Jihad Zallat, Christophoros Nikou, Nikolas P. Galatsanos. icip 2009: 3901-3904 [doi]
New approach for applying high-order entropy coding to image dataSteve S. Yu, Nikolas P. Galatsanos. vcip 1993: [doi]
Maximum a posteriori super-resolution of compressed video with a novel multichannel image prior and a new observation modelStefanos P. Belekos, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. eusipco 2011: 293-297 [doi]
Geometric robust watermarking based on a new mesh model correction approachPing Dong, Jovan G. Brankov, Nikolas P. Galatsanos, Yongyi Yang. icip 2002: 493-496
Bayesian regression of functional neuroimagesDimitris G. Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick. eusipco 2004: 801-804 [doi]
Regularized Total Least Squares Reconstruction for Optical Tomographic Imaging Using Conjugate Gradient MethodWenwu Zhu, Yao Wang, Nikolas P. Galatsanos, Jun Zhang. icip 1997: 192 [doi]
Prioritized DCT for compression and progressive transmission of imagesYunming Huang, Howard M. Dreizen, Nikolas P. Galatsanos. TIP, 1(4):477-487, 1992. [doi]
Machine learning of human responses to imagesMiles N. Wernick, Yongyi Yang, Jovan G. Brankov, Liyang Wei, Nikolas P. Galatsanos, Issam El-Naqa. cimaging 2006: [doi]
Variational Bayesian Blind Image Deconvolution with Student-T PriorsDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos. icip 2007: 109-112 [doi]
Tomographic Image Reconstruction for Systems with Partially-Known BlurJovan G. Brankov, Jaksa Djordjevic, Miles N. Wernick, Nikolas P. Galatsanos. icip 1999: 881-885
Iterative maximum a posteriori (MAP) restoration from partially-known blur for tomographic reconstructionVladimir Z. Mesarovic, Nikolas P. Galatsanos, Miles N. Wernick. icip 1995: 2512-2515 [doi]
A similarity learning approach to content-based image retrieval: application to digital mammographyIssam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Robert M. Nishikawa, Miles N. Wernick. tmi, 23(10):1233-1244, 2004. [doi]
A general framework for frequency domain multi-channel signal processingAggelos K. Katsaggelos, Kuen-Tsair Lay, Nikolas P. Galatsanos. TIP, 2(3):417-420, 1993. [doi]
On the relation of image restoration and template matching: application to block-matching motion estimationMungi Choi, Nikolas P. Galatsanos, Dan Schonfeld. icassp 1996: 2112-2115 [doi]
A Regression Mixture Model with Spatial Constraints for Clustering Spatiotemporal DataKonstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos. ijait, 17(5):1023-1041, 2008. [doi]
Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel LearningDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos. icann 2009: 50-59 [doi]
Variational Bayesian Image Restoration Based on a Product of t-Distributions Image PriorGiannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas, Michael Saunders. TIP, 17(10):1795-1805, 2008. [doi]
A Compressed Video Enhancement AlgorithmChun-Jen Tsai, Passant V. Karunaratne, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. icip 1999: 454-458
The variational approximation for Bayesian inferenceDimitris G. Tzikas, Aristidis C. Likas, Nikolas P. Galatsanos. spm, 25(6):131-146, 2008. [doi]
Template matching based object recognition with unknown geometric parametersRoger M. Dufour, Eric L. Miller, Nikolas P. Galatsanos. TIP, 11(12):1385-1396, 2002. [doi]
Simultaneous detection of abrupt cuts and dissolves in videos using support vector machinesVasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos. prl, 30(1):55-65, 2009. [doi]
EM-based simultaneous registration, restoration, and interpolation of super-resolved imagesNathan A. Woods, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. icip 2003: 303-306
Design of digital linear-phase FIR crossover systems for loudspeakers by the method of vector space projectionsKhalil C. Haddad, Henry Stark, Nikolas P. Galatsanos. tsp, 47(11):3058-3066, 1999. [doi]
Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture ModelsApostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis. ictai 2008: 141-148 [doi]
Content-adaptive mesh modeling for image restorationYongyi Yang, Jovan G. Brankov, Nikolas P. Galatsanos. cimaging 2003: 173-184 [doi]
A Bayesian Framework for Image Segmentation With Spatially Varying MixturesChristophoros Nikou, Aristidis Likas, Nikolas P. Galatsanos. TIP, 19(9):2278-2289, 2010. [doi]
A support vector machine approach for detection of microcalcifications in mammogramsIssam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa. icip 2002: 953-956
Impulse Restoration Template Matching Under Geometric UncertaintiesRoger M. Dufour, Eric L. Miller, Nikolas P. Galatsanos. icip 2000: 950-953
A Class-Adaptive Spatially Variant Mixture Model for Image SegmentationChristophoros Nikou, Nikolas P. Galatsanos, Aristidis Likas. TIP, 16(4):1121-1130, 2007. [doi]
Design of two-channel equiripple FIR linear-phase quadrature mirror filters using the vector space projection methodKhalil C. Haddad, Henry Stark, Nikolas P. Galatsanos. spl, 5(7):167-170, 1998. [doi]
Multichannel restoration of single channel images using a wavelet-based subband decompositionMark R. Banham, Nikolas P. Galatsanos, Hector L. Gonzalez, Aggelos K. Katsaggelos. TIP, 3(6):821-833, 1994. [doi]
A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimagesAna S. Lukic, Miles N. Wernick, Nikolas P. Galatsanos, Yongyi Yang, Stephen C. Strother. icip 2002: 133-136
Incremental Relevance Vector Machine with Kernel LearningDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos. setn 2008: 301-312 [doi]
Relevance Vector Machine Analysis of Functional NeuroimagesDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick. isbi 2004: 1004-1007
A Support Vector Machine Approach for Video Shot DetectionVasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos. In George A. Tsihrintzis, Maria Virvou, Robert J. Howlett, Lakhmi C. Jain, editors, New Directions in Intelligent Interactive Multimedia. Volume 142 of Studies in Computational Intelligence, pages 45-54, Springer, 2008. [doi]
Regularized Multichannel Restoration Using Cross-ValidationWenwu Zhu, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. cvgip, 57(1):38-54, 1995.
Multichannel Regularized Iterative Restoration of Motion Compensated Image SequencesMungi Choi, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. jvcir, 7(3):244-258, 1996. [doi]
Impulse restoration-based template-matching using the expectation-maximization algorithmAhmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick. icip 1997: 158-161 [doi]
Super-Resolution Based on Fast Registration and Maximum a Posteriori ReconstructionGiannis K. Chantas, Nikolas P. Galatsanos, Nathan A. Woods. TIP, 16(7):1821-1830, 2007. [doi]
Cross-validation and other criteria for estimating the regularizing parameterNikolas P. Galatsanos, Aggelos K. Katsaggelos. icassp 1991: 3021-3024 [doi]
Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relationNikolas P. Galatsanos, Aggelos K. Katsaggelos. TIP, 1(3):322-336, 1992. [doi]
Edge-Preserving Reconstruction of Compressed Images Using Projections and a Divide-and-Conquer StrategyYongyi Yang, Nikolas P. Galatsanos. icip 1994: 535-539
Iterative projection algorithms for removing the blocking artifacts of block-DCT compressed imagesYongyi Yang, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. icassp 1993: 405-408 [doi]
Maximum a posteriori super-resolution of compressed video using a new multichannel image priorStefanos P. Belekos, Nikolas P. Galatsanos, S. Derin Babacan, Aggelos K. Katsaggelos. icip 2009: 2797-2800 [doi]
Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature SelectionApostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis. icann 2009: 942-951 [doi]
A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture ModelsApostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis. icann (empty year): 84-93 [doi]
Two Bayesian Image Restoration Algorithms from Partially-Known BlursNikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina. icip 1998: 93-97
Reversible Jump Markov Chain Monte Carlo Signal Detection In Functional Neuroimaging AnalysisAna S. Lukic, Miles N. Wernick, Yongyi Yang, Nikolas P. Galatsanos, Stephen C. Strother. isbi 2004: 868-871
New active contour algorithm for tracking vibrating vocal foldsBoris Marendic, Nikolas P. Galatsanos, Diane Bless. icip 2001: 397-400 [doi]
Stochastic methods for joint registration, restoration, and interpolation of multiple undersampled imagesNathan A. Woods, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. TIP, 15(1):201-213, 2006. [doi]
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture ModelGiorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos, Christian Heinrich. miccai 2008: 43-50 [doi]
Mammogram Retrieval Based On Incremental LearningIssam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick. isbi 2004: 1163-1166
Bayesian Kernel Methods for Analysis of Functional NeuroimagesAna S. Lukic, Miles N. Wernick, Dimitris Tzikas, X. Chen, Aristidis Likas, Nikolas P. Galatsanos, Yongyi Yang, E. Zhao, Stephen C. Strother. tmi, 26(12):1613-1624, 2007. [doi]
ML and Bayesian impulse restoration based object recognition in photon limited noiseAhmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick. icip 2002: 837-840
Robust variational bayesian kernel based blind image deconvolutionDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos. visapp 2007: 143-150
Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed imagesYongyi Yang, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. tcsv, 3(6):421-432, 1993. [doi]
Generalized likelihood ratio test based algorithms for object recognition in photon-limited imagesAhmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick. icip 2005: 525-528 [doi]
Gradient-Projection Blind DeconvolutionYongyi Yang, Henry Stark, Nikolas P. Galatsanos. icip 1994: 192-196
A Spatially-Constrained Mixture Model for Image SegmentationBlekas, K., Likas, A., Galatsanos, N. P., Lagaris. I.E., Konstantinos Blekas, Aristidis Likas, A., Nikolas P. Galatsanos, I. E. Lagaris. IEEE Tansactions on Neural Networks, 16:494-498, 2005.
Reconstruction of a High Resolution Image from Registration and Restoration of Low Resolution ImagesBrian C. Tom, Aggelos K. Katsaggelos, Nikolas P. Galatsanos. icip 1994: 553-557
Image Retrieval Based on Similarity LearningIssam El-Naqa, Miles N. Wernick, Yongyi Yang, Nikolas P. Galatsanos. icip 2000: 722-725
An Analytic Distance Metric for Gaussian Mixture Models with Application in Image RetrievalGiorgos Sfikas, Constantinos Constantinopoulos, Aristidis Likas, Nikolas P. Galatsanos. icann 2005: 835-840 [doi]
Binary decompositions for high-order entropy coding of grayscale imagesSteve S. Yu, Nikolas P. Galatsanos. tcsv, 6(1):21-31, 1996. [doi]
Relevance feedback based on incremental learning for mammogram retrievalIssam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick. icip 2003: 729-732
Least squares restoration of multichannel imagesNikolas P. Galatsanos, Aggelos K. Katsaggelos, Roland T. Chin, Allen D. Hillery. tsp, 39(10):2222-2236, 1991. [doi]
A variational method for Bayesian blind image deconvolutionAristidis Likas, Nikolas P. Galatsanos. icip 2003: 973-976
A spatially constrained mixture model for image segmentationKonstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris. tnn, 16(2):494-498, 2005. [doi]
Scene Detection in Videos Using Shot Clustering and Symbolic Sequence SegmentationVasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos. mmsp 2007: 187-190 [doi]
Relevance vector machines for DMT based systemsAshraf A. Tahat, Nikolas P. Galatsanos. conielecomp 2010: 31-36 [doi]
Maximum a posteriori image restoration based on a new directional continuous edge image priorJohn Chantas, Nikolas P. Galatsanos, Aristidis Likas. icip 2005: 941-944 [doi]
Priority DCT coding for image sequencesYunming Huang, Nikolas P. Galatsanos, Howard M. Dreizen. icassp 1991: 2629-2632 [doi]
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering ApproachVasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos. icann 2008: 847-856 [doi]
New Results on Multichannel Regularized Recovery of Compressed VideoYongyi Yang, Mungi Choi, Nikolas P. Galatsanos. icip 1998: 391-395
Two methods for least squares multi-channel image restorationNikolas P. Galatsanos, Aggelos K. Katsaggelos, Roland T. Chin, Allen D. Hillery. icassp 1991: 2509-2512 [doi]
Additive Watermark Detectors Based on a New Hierarchical Spatially Adaptive Image ModelAntonis Mairgiotis, Nikolas P. Galatsanos, Yongyi Yang. icip 2007: 461-464 [doi]
Large Scale Multikernel Relevance Vector Machine for Object DetectionDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos. ijait, 16(6):967-979, 2007. [doi]
Removal of compression artifacts using projections onto convex sets and line process modelingYongyi Yang, Nikolas P. Galatsanos. TIP, 6(10):1345-1357, 1997. [doi]
Deformation Analysis of the Vibrational Patterns of the Vocal FoldsAbdul Karim Saadah, Nikolas P. Galatsanos, Diane Bless, Anie Ramos. bildmed 1996: [doi]
Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread functionDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos. eusipco 2006: 1-5 [doi]
Non-stationary approximate Bayesian super-resolution using a hierarchical prior modelNathan A. Woods, Nikolas P. Galatsanos. icip 2005: 37-40 [doi]
Similarity based clustering using the expectation maximization algorithmJovan G. Brankov, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick. icip 2002: 97-100
Digital restoration of multi-channel imagesNikolas P. Galatsanos, Roland T. Chin. icassp 1987: 1244-1247 [doi]
Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student s-t PriorsDimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos. TIP, 18(4):753-764, 2009. [doi]
Geometric robust watermarking through watermark pattern shapingPing Dong, Nikolas P. Galatsanos. icip 2003: 493-496
Regularized constrained total least squares image restorationVladimir Z. Mesarovic, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. TIP, 4(8):1096-1108, 1995. [doi]
Affine transformation resistant watermarking based on image normalizationPing Dong, Nikolas P. Galatsanos. icip 2002: 489-492
Relevance Vector Machines for Enhanced BER Probability in DMT-Based SystemsAshraf A. Tahat, Nikolas P. Galatsanos. jece, 2010, 2010. [doi]
Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal DataKonstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos. ictai 2007: 529-535 [doi]
Maximum a posteriori video super-resolution with a new multichannel image priorStefanos P. Belekos, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. eusipco 2008: 1-5 [doi]
Map and Regularized Constrained Total Least-Squares Image RestorationVladimir Z. Mesarovic, Nikolas P. Galatsanos. icip 1994: 177-181
Digital watermarking robust to geometric distortionsPing Dong, Jovan G. Brankov, Nikolas P. Galatsanos, Yongyi Yang, F. Davoine. TIP, 14(12):2140-2150, 2005. [doi]
Investigation of smoothing techniques for positron emission tomography imagingJane L. Wurster, Henry Stark, Nikolas P. Galatsanos. jei, 3(2):164-175, 1994. [doi]
Restoration of color images by multichannel Kalman filteringNikolas P. Galatsanos, Roland T. Chin. tsp, 39(10):2237-2252, 1991. [doi]
Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image PriorsGiannis K. Chantas, Nikolas P. Galatsanos, Rafael Molina, Aggelos K. Katsaggelos. TIP, 19(2):351-362, 2010. [doi]
Support vector machine learning for detection of microcalcifications in mammogramsIssam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa. isbi 2002: 201-204 [doi]
Bayesian Restoration Using a New Nonstationary Edge-Preserving Image PriorGiannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas. TIP, 15(10):2987-2997, 2006. [doi]
Total Least Squares Estimation of Stereo Optical FlowChun-Jen Tsai, Nikolas P. Galatsanos, Aggelos K. Katsaggelos. icip 1998: 622-626
Mixture model based image segmentation with spatial constraintsKonstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris. eusipco 2004: 2119-2122 [doi]
A spatially adaptive hierarchical stochastic model for non-rigid image registrationEvangelos Fotiou, Christophoros Nikou, Nikolas P. Galatsanos. eusipco 2008: 1-5 [doi]
Video rushes summarization using spectral clustering and sequence alignmentVasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos. mm 2008: 75-79 [doi]

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