| 2009 |
|---|
| 84 | EE | 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 | EE | 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 | EE | Giorgos Sfikas,
Christophoros Nikou,
Nikolas P. Galatsanos:
Edge preserving spatially varying mixtures for image segmentation.
CVPR 2008 |
| 81 | EE | Vasileios Chasanis,
Aristidis Likas,
Nikolas P. Galatsanos:
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach.
ICANN (1) 2008: 847-856 |
| 80 | EE | 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 | EE | 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 | EE | Dimitris Tzikas,
Aristidis Likas,
Nikolas P. Galatsanos:
Incremental Relevance Vector Machine with Kernel Learning.
SETN 2008: 301-312 |
| 77 | EE | Konstantinos Blekas,
Nikolas P. Galatsanos,
Aristidis Likas:
A Sparse Regression Mixture Model for Clustering Time-Series.
SETN 2008: 64-72 |
| 76 | EE | Vasileios Chasanis,
Aristidis Likas,
Nikolas P. Galatsanos:
Video rushes summarization using spectral clustering and sequence alignment.
TVS 2008: 75-79 |
| 75 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Dimitris Tzikas,
Aristidis Likas,
Nikolas P. Galatsanos:
Variational Bayesian Blind Image Deconvolution with Student-T Priors.
ICIP (1) 2007: 109-112 |
| 70 | EE | Giorgos Sfikas,
Christophoros Nikou,
Nikolas P. Galatsanos:
Robust Image Segmentation with Mixtures of Student's t-Distributions.
ICIP (1) 2007: 273-276 |
| 69 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Dimitris Tzikas,
Aristidis Likas,
Nikolas P. Galatsanos:
Large Scale Multikernel RVM for Object Detection.
SETN 2006: 389-399 |
| 60 | EE | 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 | EE | 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 | EE | 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 | EE | Nathan A. Woods,
Nikolas P. Galatsanos:
Non-stationary approximate Bayesian super-resolution using a hierarchical prior model.
ICIP (1) 2005: 37-40 |
| 56 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Mungi Choi,
Yongyi Yang,
Nikolas P. Galatsanos:
Regularized Multichannel Recovery of Compressed Video.
ICIP (1) 1997: 271-274 |
| 16 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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) |
