Nikolas P. Galatsanos

发表

Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 2010, IEEE Transactions on Image Processing.

Bayesian watermark detection and new perceptual mask based on a spatially weighted Total Variation image prior

Nikolas P. Galatsanos, Antonis Mairgiotis, N. Galatsanos, 2010, 2010 IEEE International Workshop on Information Forensics and Security.

Incremental Relevance Vector Machine with Kernel Learning

Nikolas P. Galatsanos, Aristidis Likas, Dimitris Tzikas, 2008, SETN.

Mixture model based image segmentation with spatial constraints

Nikolas P. Galatsanos, Isaac E. Lagaris, Konstantinos Blekas, 2004, 2004 12th European Signal Processing Conference.

Large Scale Multikernel RVM for Object Detection

Nikolas P. Galatsanos, Aristidis Likas, Dimitris Tzikas, 2006, SETN.

Geometric robust watermarking based on a new mesh model correction approach

Nikolas P. Galatsanos, Yongyi Yang, Jovan G. Brankov, 2002, Proceedings. International Conference on Image Processing.

Regularized multichannel restoration of color images using cross-validation

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Wenwu Zhu, 1992, Other Conferences.

Properties of different estimates of the regularizing parameter for the least-squares image restoration problem

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, 1991, Other Conferences.

Regularized total least squares reconstruction for optical tomographic imaging using conjugate gradient method

Nikolas P. Galatsanos, Jun Zhang, Yao Wang, 1997, Proceedings of International Conference on Image Processing.

A Majorization-Minimization approach to total variation reconstruction of super-resolved images

Nikolas P. Galatsanos, 2008, 2008 16th European Signal Processing Conference.

Scene Detection in Videos Using Shot Clustering and Symbolic Sequence Segmentation

Nikolas P. Galatsanos, Aristidis Likas, Vasileios Chasanis, 2007, 2007 IEEE 9th Workshop on Multimedia Signal Processing.

Cross-validation and other criteria for estimating the regularizing parameter

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, A. Katsaggelos, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines

Nikolas P. Galatsanos, Aristidis Likas, Vasileios Chasanis, 2009, Pattern Recognit. Lett..

EM-based simultaneous registration, restoration, and interpolation of super-resolved images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Nathan A. Woods, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Regularized constrained total least-squares image restoration

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Vladimir Z. Mesarovic, 1994, Other Conferences.

Geometric robust watermarking through watermark pattern shaping

Nikolas P. Galatsanos, Ping Dong, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Restoration of color images by multichannel Kalman filtering

Nikolas P. Galatsanos, Roland T. Chin, R. Chin, 1991, IEEE Trans. Signal Process..

Support vector machine learning for detection of microcalcifications in mammograms

Nikolas P. Galatsanos, Robert M. Nishikawa, Yongyi Yang, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Two Bayesian image restoration algorithms from partially-known blurs

Nikolas P. Galatsanos, Rafael Molina, Vladimir Z. Mesarovic, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Digital watermarking robust to geometric distortions

Nikolas P. Galatsanos, Yongyi Yang, Jovan G. Brankov, 2005, IEEE Transactions on Image Processing.

Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior

Nikolas P. Galatsanos, Giannis K. Chantas, Aristidis Likas, 2006, IEEE Transactions on Image Processing.

Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models

Nikolas P. Galatsanos, Andreas Stafylopatis, Aristidis Likas, 2009, IET Image Process..

Scene Detection in Videos Using Shot Clustering and Sequence Alignment

Nikolas P. Galatsanos, Aristidis Likas, Vasileios Chasanis, 2009, IEEE Transactions on Multimedia.

A Regression Mixture Model with Spatial Constraints for Clustering Spatiotemporal Data

Nikolas P. Galatsanos, Nikolaos V. Tsekos, Konstantinos Blekas, 2008, Int. J. Artif. Intell. Tools.

Binary decompositions for high-order entropy coding of grayscale images

Nikolas P. Galatsanos, Steve S. Yu, 1996, IEEE Trans. Circuits Syst. Video Technol..

Gradient-projection blind deconvolution

Nikolas P. Galatsanos, Yongyi Yang, Henry Stark, 1994, Proceedings of 1st International Conference on Image Processing.

Template matching based object recognition with unknown geometric parameters

Roger M. Dufour, Eric L. Miller, Nikolas P. Galatsanos, 2002, IEEE Trans. Image Process..

A support vector machine approach for detection of microcalcifications in mammograms

Nikolas P. Galatsanos, Robert M. Nishikawa, Yongyi Yang, 2002, Proceedings. International Conference on Image Processing.

Nikolas P. Galatsanos, Robert M. Nishikawa, Yongyi Yang, 2004, IEEE Transactions on Medical Imaging.

Non stationary Bayesian image restoration

Nikolas P. Galatsanos, Giannis K. Chantas, Aristidis Likas, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Additive Watermark Detectors Based on a New Hierarchical Spatially Adaptive Image Model

Nikolas P. Galatsanos, Yongyi Yang, Antonis Mairgiotis, 2007, 2007 IEEE International Conference on Image Processing.

Regularized total least squares approach for nonconvolutional linear inverse problems

Nikolas P. Galatsanos, Jun Zhang, Yao Wang, 1999, IEEE Trans. Image Process..

Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection

Nikolas P. Galatsanos, Andreas Stafylopatis, Aristidis Likas, 2009, ICANN.

Deformation Analysis of the Vibrational Patterns of the Vocal Folds

Nikolas P. Galatsanos, Diane Bless, Abdul Karim Saadah, 1996, Bildverarbeitung für die Medizin.

Robust variational bayesian kernel based blind image deconvolution

Nikolas P. Galatsanos, Aristidis Likas, Dimitris Tzikas, 2007, VISAPP.

Joint recovery and segmentation of polarimetric images using a compound MRF and mixture modeling

Nikolas P. Galatsanos, Christophoros Nikou, Giorgos Sfikas, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Priority subband image coding

Nikolas P. Galatsanos, Steve S. Yu, Yunming George Huang, 1992, Other Conferences.

Mixture model analysis of DNA microarray images

Nikolas P. Galatsanos, Isaac E. Lagaris, Konstantinos Blekas, 2005, IEEE Transactions on Medical Imaging.

A variational approach for Bayesian blind image deconvolution

Nikolas P. Galatsanos, Aristidis Likas, N. Galatsanos, 2004, IEEE Transactions on Signal Processing.

A spatially adaptive hierarchical stochastic model for non-rigid image registration

Nikolas P. Galatsanos, Christophoros Nikou, Evangelos Fotiou, 2008, 2008 16th European Signal Processing Conference.

Content-based image retrieval for digital mammography

Nikolas P. Galatsanos, Yongyi Yang, Miles N. Wernick, 2002 .

Segmentation of dynamic PET or fMRI images based on a similarity metric

Nikolas P. Galatsanos, Yongyi Yang, Jovan G. Brankov, 2003 .

A hierarchical spatially adaptive image model for perceptual mask design and multiplicative watermark detection

Nikolas P. Galatsanos, Antonis Mairgiotis, 2009, 2009 First IEEE International Workshop on Information Forensics and Security (WIFS).

5.8 – Recovery Methods for Postprocessing of Compressed Images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Yongyi Yang, 2005 .

Design of digital linear-phase FIR crossover systems for loudspeakers by the method of vector space projections

Nikolas P. Galatsanos, Khalil C. Haddad, Henry Stark, 1999, IEEE Trans. Signal Process..

Reconstruction of a high resolution image from registration and restoration of low resolution images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Brian C. Tom, 1994, Proceedings of 1st International Conference on Image Processing.

Machine learning of human responses to images

Nikolas P. Galatsanos, Yongyi Yang, Issam El-Naqa, 2006, Electronic Imaging.

ML and Bayesian impulse restoration based object recognition in photon limited noise

Nikolas P. Galatsanos, Miles N. Wernick, Ahmad Abu-Naser, 2002, Proceedings. International Conference on Image Processing.

A support vector machine approach for detection of microcalcifications

Nikolas P. Galatsanos, Robert M. Nishikawa, Yongyi Yang, 2002, IEEE Transactions on Medical Imaging.

Variational Bayesian inference image restoration using a product of total variation-like image priors

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 2010, 2010 2nd International Workshop on Cognitive Information Processing.

Regularized reconstruction to remove blocking artifacts from block discrete cosine transform compressed images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Yongyi Yang, 1993, Other Conferences.

Two methods for least squares multi-channel image restoration

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, R. T. Chin, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Projection-based spatially adaptive reconstruction of block-transform compressed images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Yongyi Yang, 1995, IEEE Trans. Image Process..

Maximum-likelihood optical flow estimation using differential constraints

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Chun-Jen Tsai, 1999, NSIP.

A Support Vector Machine Approach for Video Shot Detection

Nikolas P. Galatsanos, Aristidis Likas, Vasileios Chasanis, 2008, New Directions in Intelligent Interactive Multimedia.

Eigenfolds: a new approach for analysis of vibrating vocal folds

Nikolas P. Galatsanos, Liu Li, Diane Bless, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

New Detectors for Watermarks with Unknown Power Based on Student-t Image Priors

Nikolas P. Galatsanos, Yongyi Yang, Konstantinos Blekas, 2007, 2007 IEEE 9th Workshop on Multimedia Signal Processing.

A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures

Nikolas P. Galatsanos, Aristidis Likas, Christophoros Nikou, 2010, IEEE Transactions on Image Processing.

Regularized Multichannel Restoration Using Cross-Validation

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Wenwu Zhu, 1995, CVGIP Graph. Model. Image Process..

A compressed video enhancement algorithm

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Chun-Jen Tsai, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Projection-based blind deconvolution

Nikolas P. Galatsanos, Yongyi Yang, Henry Stark, 1994 .

Regularized constrained total least-squares image restoration

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Vladimir Z. Mesarovic, 1994, Other Conferences.

Multichannel restoration of single channel images using a wavelet-based subband decomposition

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Mark R. Banham, 1994, IEEE Trans. Image Process..

Priority DCT coding for image sequences

Nikolas P. Galatsanos, Y. Huang, H. M. Dreizen, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Image restoration-based template matching with application to motion estimation

Nikolas P. Galatsanos, Dan Schonfeld, Mun Gi Choi, 1996, Other Conferences.

Majorization-minimization mixture model determination in image segmentation

Nikolas P. Galatsanos, Christophoros Nikou, Giorgos Sfikas, 2011, CVPR 2011.

Removal of compression artifacts using projections onto convex sets and line process modeling

Nikolas P. Galatsanos, Yongyi Yang, N. Galatsanos, 1997, IEEE Trans. Image Process..

Projection-based spatially adaptive reconstruction of block transform compressed images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Yongyi Yang, 1994, Other Conferences.

Relevance vector machines for DMT based systems

Nikolas P. Galatsanos, Ashraf A. Tahat, 2010, 2010 20th International Conference on Electronics Communications and Computers (CONIELECOMP).

Variational Bayesian Blind Image Deconvolution with Student-T Priors

Nikolas P. Galatsanos, Aristidis Likas, Dimitris Tzikas, 2007, 2007 IEEE International Conference on Image Processing.

Content-adaptive mesh modeling for image restoration

Nikolas P. Galatsanos, Yongyi Yang, Jovan G. Brankov, 2003, IS&T/SPIE Electronic Imaging.

Least squares restoration of multichannel images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Roland T. Chin, 1991, IEEE Trans. Signal Process..

Maximum a posteriori super-resolution of compressed video using a new multichannel image prior

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, S. Derin Babacan, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Hierarchical Bayesian image restoration from partially known blurs

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 2000, IEEE Trans. Image Process..

Reversible jump Markov chain Monte Carlo signal detection in functional neuroimaging analysis

Nikolas P. Galatsanos, Yongyi Yang, Stephen C. Strother, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

An unsupervised artifact correction approach for the analysis of DNA microarray images

Nikolas P. Galatsanos, Konstantinos Blekas, I. Georgiou, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Image segmentation with a class-adaptive spatially constrained mixture model

Nikolas P. Galatsanos, Konstantinos Blekas, Aristidis Likas, 2006, 2006 14th European Signal Processing Conference.

Content-based image retrieval for digital mammography

Nikolas P. Galatsanos, Yongyi Yang, Issam El-Naqa, 2002, Proceedings. International Conference on Image Processing.

Mammogram retrieval based on incremental learning

Nikolas P. Galatsanos, Yongyi Yang, Issam El-Naqa, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Regularized multichannel recovery of compressed video

Nikolas P. Galatsanos, Yongyi Yang, Mungi Choi, 1997, Proceedings of International Conference on Image Processing.

An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval

Nikolas P. Galatsanos, Aristidis Likas, Giorgos Sfikas, 2005, ICANN.

Video rushes summarization using spectral clustering and sequence alignment

Nikolas P. Galatsanos, Aristidis Likas, Vasileios Chasanis, 2008, TVS '08.

Geometric parameter estimation with a multiscale template library

Roger M. Dufour, Eric L. Miller, Nikolas P. Galatsanos, 2000, SPIE Defense + Commercial Sensing.

Digital restoration of multichannel images

Nikolas P. Galatsanos, Roland T. Chin, R. Chin, 1989, IEEE Trans. Acoust. Speech Signal Process..

Multichannel Regularized Iterative Restoration of Motion Compensated Image Sequences

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Mungi Choi, 1996, J. Vis. Commun. Image Represent..

New results on multichannel regularized recovery of compressed video

Nikolas P. Galatsanos, Yongyi Yang, Mungi Choi, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

New Additive Watermark Detectors Based On A Hierarchical Spatially Adaptive Image Model

Nikolas P. Galatsanos, Yongyi Yang, Antonis Mairgiotis, 2008, IEEE Transactions on Information Forensics and Security.

Detection of atrial fibrillation in implanted devices by automatic scanning of sensing threshold and cycle length

Nikolas P. Galatsanos, Robert Arzbaecher, M. Milisavjevic, 1996, Computers in Cardiology 1996.

A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages

Nikolas P. Galatsanos, Yongyi Yang, Stephen C. Strother, 2002, Proceedings. International Conference on Image Processing.

Elastic registration for videostroboscopic images of the larynx

Nikolas P. Galatsanos, Diane M. Bless, Abdul K. Saadah, 1995, Optical Engineering Midwest.

Bayesian Kernel Methods for Analysis of Functional Neuroimages

Xu Chen, Nikolas P. Galatsanos, Yongyi Yang, 2007, IEEE Transactions on Medical Imaging.

Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval

Nikolas P. Galatsanos, Andreas Stafylopatis, Aristidis Likas, 2009, AIAI.

Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning

Nikolas P. Galatsanos, Aristidis Likas, Dimitris Tzikas, 2009, ICANN.

Hyperparameter estimation in image restoration problems with partially known blurs

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 2002 .

Nikolas P. Galatsanos, Yongyi Yang, Jovan G. Brankov, 2002, Proceedings. International Conference on Image Processing.

MAP and regularized constrained total least-squares image restoration

Nikolas P. Galatsanos, Vladimir Z. Mesarovic, 1994, Proceedings of 1st International Conference on Image Processing.

Iterative projection algorithms for removing the blocking artifacts of block-DCT compressed images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Yongyi Yang, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach

Nikolas P. Galatsanos, Aristidis Likas, Vasileios Chasanis, 2008, ICANN.

Multichannel image identification and restoration based on the EM algorithm and cross-validation

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Wenwu Zhu, 1992, Optics & Photonics.

Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models

Nikolas P. Galatsanos, Andreas Stafylopatis, Aristidis Likas, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

Motion-compensated priority discrete cosine transform coding of image sequences

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Zixiang Xiong, 1991, Other Conferences.

A Sparse Regression Mixture Model for Clustering Time-Series

Nikolas P. Galatsanos, Konstantinos Blekas, Aristidis Likas, 2008, SETN.

Lossless compression of multi-dimensional medical image data using binary-decomposed high-order entropy coding

Nikolas P. Galatsanos, Miles N. Wernick, Steve S. Yu, 1994, Proceedings of 1st International Conference on Image Processing.

Bayesian regression of functional neuroimages

Nikolas P. Galatsanos, Miles N. Wernick, Aristidis Likas, 2004, 2004 12th European Signal Processing Conference.

New approach for applying high-order entropy coding to image data

Nikolas P. Galatsanos, Steve S. Yu, 1993, Other Conferences.

Image restoration using content-adaptive mesh modeling

Nikolas P. Galatsanos, Yongyi Yang, Jovan G. Brankov, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Sparse Bayesian Modeling With Adaptive Kernel Learning

Nikolas P. Galatsanos, Aristidis Likas, Dimitris Tzikas, 2009, IEEE Transactions on Neural Networks.

Maximum a posteriori image restoration based on a new directional continuous edge image prior

Nikolas P. Galatsanos, Giannis K. Chantas, Aristidis Likas, 2005, IEEE International Conference on Image Processing 2005.

Maximum a Posteriori Video Super-Resolution Using a New Multichannel Image Prior

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Stefanos P. Belekos, 2010, IEEE Transactions on Image Processing.

Bayesian Methods Based on Variational Approximations for Blind Image Deconvolution

Nikolas P. Galatsanos, Aristidis Likas, N. Galatsanos, 2007 .

Optical flow estimation from noisy data using differential techniques

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Chun-Jen Tsai, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Generalized likelihood ratio test based algorithms for object recognition in photon-limited images

Nikolas P. Galatsanos, Miles N. Wernick, Ahmad Abu-Naser, 2005, IEEE International Conference on Image Processing 2005.

Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Yongyi Yang, 1993, IEEE Trans. Circuits Syst. Video Technol..

Impulse restoration-based template-matching using the expectation-maximization algorithm

Nikolas P. Galatsanos, Miles N. Wernick, Ahmad Abu-Naser, 1997, Proceedings of International Conference on Image Processing.

Target detection and classification using a deformable template

Roger M. Dufour, Eric L. Miller, Nikolas P. Galatsanos, 2001 .

Edge preserving spatially varying mixtures for image segmentation

Nikolas P. Galatsanos, Christophoros Nikou, Giorgos Sfikas, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Motion analysis of videostroboscopic images of the larynx

Nikolas P. Galatsanos, Diane M. Bless, Abdul K. Saadah, 1996, Medical Imaging.

Non-stationary approximate Bayesian super-resolution using a hierarchical prior model

Nikolas P. Galatsanos, Nathan A. Woods, N. Galatsanos, 2005, IEEE International Conference on Image Processing 2005.

Tomographic image reconstruction for systems with partially-known blur

Nikolas P. Galatsanos, Jovan G. Brankov, Miles N. Wernick, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Maximum a posteriori super resolution based on simultaneous non-stationary restoration, interpolation and fast registration

Nikolas P. Galatsanos, Giannis K. Chantas, Nathan A. Woods, 2006, 2006 14th European Signal Processing Conference.

Affine transformation resistant watermarking based on image normalization

Nikolas P. Galatsanos, Ping Dong, N. Galatsanos, 2002, Proceedings. International Conference on Image Processing.

Digital Image Enhancement

Nikolas P. Galatsanos, N. Galatsanos, 2003 .

Object recognition in images degraded by gaussian and photon-limited noise

Nikolas P. Galatsanos, A. Abu-Naser, 2001 .

Investigation of smoothing techniques for positron emission tomography imaging

Nikolas P. Galatsanos, Henry Stark, Jane L. Wurster, 1994, J. Electronic Imaging.

Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data

Nikolas P. Galatsanos, Nikolaos V. Tsekos, Konstantinos Blekas, 2007, 19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007).

Relevance Vector Machines for Enhanced BER Probability in DMT-Based Systems

Nikolas P. Galatsanos, Ashraf A. Tahat, 2010, J. Electr. Comput. Eng..

Relevance vector machine analysis of functional neuroimages

Nikolas P. Galatsanos, Miles N. Wernick, Aristidis Likas, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Spatially adaptive regularized pel-recursive motion estimation based on the EM algorithm

Nikolas P. Galatsanos, Vania Vieira Estrela, 2000, Electronic Imaging.

Image retrieval based on similarity learning

Nikolas P. Galatsanos, Yongyi Yang, Issam El-Naqa, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

A variational method for Bayesian blind image deconvolution

Nikolas P. Galatsanos, Aristidis Likas, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Object recognition based on impulse restoration with use of the expectation-maximization algorithm

Nikolas P. Galatsanos, Dan Schonfeld, Miles N. Wernick, 1998 .

Multi-channel Image Recovery

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Miles N. Wernick, 2000 .

Spatially Varying Mixtures Incorporating Line Processes for Image Segmentation

Nikolas P. Galatsanos, Christophoros Nikou, Giorgos Sfikas, 2009, Journal of Mathematical Imaging and Vision.

Hierarchical Bayesian image restoration from partially-known blurs

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation

Nikolas P. Galatsanos, Aristidis Likas, Christophoros Nikou, 2007, IEEE Transactions on Image Processing.

Maximum a posteriori super-resolution of compressed video with a novel multichannel image prior and a new observation model

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Stefanos P. Belekos, 2011, 2011 19th European Signal Processing Conference.

Super-Resolution Based on Fast Registration and Maximum a Posteriori Reconstruction

Nikolas P. Galatsanos, Giannis K. Chantas, Nathan A. Woods, 2007, IEEE Transactions on Image Processing.

High-order entropy coding of medical image data using different binary-decomposed representations

Nikolas P. Galatsanos, Miles N. Wernick, Steve S. Yu, 1995, Optical Engineering Midwest.

Reconstruction of a High Resolution Image from Multiple Low Resolution Images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Brian C. Tom, 2002 .

Digital restoration of multi-channel images

Nikolas P. Galatsanos, R. T. Chin, R. Chin, 1987, ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Maximum a posteriori video super-resolution with a new multichannel image prior

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Stefanos P. Belekos, 2008, 2008 16th European Signal Processing Conference.

Prioritized DCT for compression and progressive transmission of images

Nikolas P. Galatsanos, Yunming Huang, Howard M. Dreizen, 1992, IEEE Trans. Image Process..

Variational Bayesian Image Restoration Based on a Product of $t$-Distributions Image Prior

Nikolas P. Galatsanos, Michael A. Saunders, Giannis K. Chantas, 2008, IEEE Transactions on Image Processing.

Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, A. Katsaggelos, 1992, IEEE Trans. Image Process..

MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model

Nikolas P. Galatsanos, Christophoros Nikou, Giorgos Sfikas, 2008, MICCAI.

Robust Image Segmentation with Mixtures of Student's t-Distributions

Nikolas P. Galatsanos, Christophoros Nikou, Giorgos Sfikas, 2007, 2007 IEEE International Conference on Image Processing.

Total least squares estimation of stereo optical flow

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Chun-Jen Tsai, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Iterative maximum a posteriori (MAP) restoration from partially-known blur for tomographic reconstruction

Nikolas P. Galatsanos, Miles N. Wernick, Vladimir Z. Mesarovic, 1995, Proceedings., International Conference on Image Processing.

On the relation of image restoration and template matching: application to block-matching motion estimation

Nikolas P. Galatsanos, Dan Schonfeld, Mungi Choi, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Multichannel restoration of single channel images using a wavelet decomposition

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Mark R. Banham, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A spatially constrained mixture model for image segmentation

Nikolas P. Galatsanos, Isaac E. Lagaris, Konstantinos Blekas, 2005, IEEE Transactions on Neural Networks.

Large Scale Multikernel Relevance Vector Machine for Object Detection

Nikolas P. Galatsanos, Aristidis Likas, Dimitris Tzikas, 2007, Int. J. Artif. Intell. Tools.

Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function

Nikolas P. Galatsanos, Aristidis Likas, Dimitris Tzikas, 2006, 2006 14th European Signal Processing Conference.

Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors

Nikolas P. Galatsanos, Aristidis Likas, Dimitris Tzikas, 2009, IEEE Transactions on Image Processing.

Relevance feedback based on incremental learning for mammogram retrieval

Nikolas P. Galatsanos, Yongyi Yang, Issam El-Naqa, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models

Nikolas P. Galatsanos, Andreas Stafylopatis, Aristidis Likas, 2006, ICANN.

Stochastic methods for joint registration, restoration, and interpolation of multiple undersampled images

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Nathan A. Woods, 2006, IEEE Transactions on Image Processing.

Edge-preserving reconstruction of compressed images using projections and a divide-and-conquer strategy

Nikolas P. Galatsanos, Yongyi Yang, 1994, Proceedings of 1st International Conference on Image Processing.

Marginal analysis prioritization for image compression based on a hierarchical wavelet decomposition

Nikolas P. Galatsanos, Michael T. Orchard, Zixiang Xiong, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Hyperparameter estimation using hyperpriors for hierarchical Bayesian image restoration from partially known blurs

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 1998, Optics & Photonics.

Projection-based decoding of low bit-rate MPEG data

Nikolas P. Galatsanos, Yongyi Yang, 1994, Other Conferences.

Constrained FIR filter design by the method of vector space projections

Nikolas P. Galatsanos, H. Stark, K. C. Haddad, 2000 .

Design of two-channel equiripple FIR linear-phase quadrature mirror filters using the vector space projection method

Nikolas P. Galatsanos, H. Stark, K. C. Haddad, 1998, IEEE Signal Process. Lett..

Image Recovery from Compressed Video Using Multichannel Regularization

Nikolas P. Galatsanos, Yongyi Yang, Mungi Choi, 1998 .

Total Least-Squares Disparity-Assisted Stereo Optical Flow Estimation

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Tania Stathaki, 1999 .

Efficient Content Based Image Retrieval Using Color and Texture

Nikolas P. Galatsanos, Robert M. Nishikawa, Yongyi Yang, 2013 .