N. Galatsanos

发表

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

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

Image restoration based template matching for multichannel restoration of image sequences

D. Schonfeld, N. Galatsanos, Mungi Choi, 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.

Projection-based blind deconvolution

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

Multiple-image radiography.

N. Galatsanos, M. Wernick, M. Anastasio, 2003, Physics in medicine and biology.

Combination of high-resolution magic angle spinning proton magnetic resonance spectroscopy and microscale genomics to type brain tumor biopsies.

L. Astrakas, K. Blekas, Jiangwen Zhang, 2007, International journal of molecular medicine.

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.

Multichannel regularized recovery of compressed video sequences

N. Galatsanos, Mungi Choi, Yongyi Yang, 2001 .

TOMOGRAPHIC IMAGE RECONSTRUCTION FOR PARTIALLY-KNOWN SYSTEMS AND IMAGE SEQUENCES BY JOVAN G. BRANKOV

Nikolas Galatsanos, N. Galatsanos, 1999 .

Deformation analysis of the vocal folds from videostroboscopic image sequences of the larynx.

N. Galatsanos, D. Bless, A. K. Saadah, 1998, The Journal of the Acoustical Society of America.

A TUTORIAL ON RELEVANCE VECTOR MACHINES FOR REGRESSION AND CLASSIFICATION WITH APPLICATIONS

N. Galatsanos, A. Likas, Liyang Wei, 2006 .

Object Recognition Based on Impulse Restoration Using the Expectation-Maximization Algorithm

N. Galatsanos, M. Wernick, A. Abu-Naser, 1998 .

Augmented Medical Image Management for Integrated Healthcare Solutions

H. Müller, N. Galatsanos, T. Lehmann, 2022 .

Diagnose the Stages of Breast Cancer using SVM

Mohammad Muntasir Rahman, B. C. Desai, S. Antani, 2018 .

Cross-validation And Maximum Likelihood Space Varying Regularized Image Restoration

Hector L. Gonzalez, A. Katsaggelos, N. Galatsanos, 1991, Proceedings of the Seventh Workshop on Multidimensional Signal Processing.

Efficient Content Based Image Retrieval Using Color and Texture

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

IMAGE-SEQUENCE SEGMENTATION BASED ON AN EM ALGORITHM FOR SIMILARITY CLUSTERING

N. Galatsanos, M. Wernick, Yongyi Yang, 2002 .

Image sequence segmentation based on a similarity metric

N. Galatsanos, M. Wernick, Yongyi Yang, 2002, 2002 IEEE Nuclear Science Symposium Conference Record.

Kernel Methods for Functional Neuroimaging Analysis

S. Strother, Fuqiang Zhao, N. Galatsanos, 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

Methods of Detecting Objects in Photon-Limited Images

Ahmad Abu-Naser, N. Galatsanos, 2005 .

Digital Image Watermarking Against Desynchronization Attacks

Xiang-yang Wang, N. Galatsanos, J. Brankov, 2017 .

Blind deconvolution using a mixed projection-gradient approach

N. P. Galatsanos, H. Stark, N. Galatsanos, 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

3.7 – Multichannel Image Recovery

Rafael Molina, Rafael Molina, Aggelos K. Katsaggelos, 2005 .

A spatially adaptive spectral re-ordering technique for lossless coding of hyper-spectral images

Nasir D. Memon, Nikolas Galatsanos, N. Galatsanos, 1995 .

5.8 – Recovery Methods for Postprocessing of Compressed Images

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

Bayesian Methods Based on Variational Approximations for Blind Image Deconvolution

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

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.

Multi-channel Image Recovery

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

Restoration of single-channel images with multi-channel filtering in the wavelet domain

Hector L. Gonzalez, A. Katsaggelos, N. Galatsanos, 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.

Majorization-minimization mixture model determination in image segmentation

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

A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures

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

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.

A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation

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

A spatially constrained mixture model for image segmentation

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

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.

Reconstruction of a High Resolution Image from Multiple Low Resolution Images

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

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.

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

Bayesian regression of functional neuroimages

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

A variational approach for Bayesian blind image deconvolution

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

A Sparse Regression Mixture Model for Clustering Time-Series

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

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.

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).

Image segmentation with a class-adaptive spatially constrained mixture model

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

Methods to detect objects in photon-limited images.

Miles N Wernick, Ahmad Abu-Naser, Nikolas P Galatsanos, 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

Hierarchical Bayesian image restoration from partially known blurs

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

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

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

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.

Restoration from partially-known blur using an expectation-maximization algorithm

N. Galatsanos, M. Wernick, V.Z. Mesarovic, 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.

The variational approximation for Bayesian inference

D.G. Tzikas, A.C. Likas, N.P. Galatsanos, 2008, IEEE Signal Processing Magazine.

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..

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).

Bayesian Kernel Methods for Analysis of Functional Neuroimages

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

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 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.

Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior

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

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.

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

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

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 active contour algorithm for tracking vibrating vocal folds

Diane Bless, Boris Marendic, Nikolas P. Galatsanos, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

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.

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

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

Projection-based spatially adaptive reconstruction of block transform compressed images

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

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..

Digital restoration of multichannel images

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

Scene Detection in Videos Using Shot Clustering and Sequence Alignment

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

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.

A Support Vector Machine Approach for Video Shot Detection

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

Digital watermarking robust to geometric distortions

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

Digital Image Enhancement

Nikolas P. Galatsanos, N. Galatsanos, 2003 .

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

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

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.

Multichannel Regularized Iterative Restoration of Motion Compensated Image Sequences

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

A general framework for frequency domain multi-channel signal processing

A.K. Katsaggelos, K.T. Lay, N.P. Galatsanos, 1993, IEEE Trans. Image Process..

Least squares restoration of multichannel images

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

Restoration of color images by multichannel Kalman filtering

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

Image Recovery from Compressed Video Using Multichannel Regularization

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

Motion-compensated priority discrete cosine transform coding of image sequences

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

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.

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

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

Regularized constrained total least-squares image restoration

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

Spatially Varying Mixtures Incorporating Line Processes for Image Segmentation

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

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

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

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).

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.

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).

Multichannel regularized iterative restoration of image sequences

Aggelos K. Katsaggelos, Nikolas P. Galatsanos, Mun G. Choi, 1993, Other Conferences.

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.

Affine transformation resistant watermarking based on image normalization

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

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.

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).

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..

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

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

Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors. Breast Cancer Res Treat, 89(2):179–85, Jan 2005.

L. B. Jack, R. Chang, N. Galatsanos, 2004 .

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.

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.

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.

Template matching based object recognition with unknown geometric parameters

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

Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach

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

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.

Mixture model analysis of DNA microarray images

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

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.

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..