1.
Journal Papers in Chronological
Order
1. N. P. Galatsanos
and R. T. Chin, Digital Restoration of
Multi-channel Images, IEEE Trans. on
Acoustics Speech and Signal Processing, Vol. 37, No. 3, pp. 415-421, March 1989.
2. N. P. Galatsanos,
A. K. Katsaggelos, R. T. Chin and A. D. Hillery, Least
Squares Multi-channel Image Restoration, (pdf
copy) IEEE Trans. on Signal Processing,
Vol. 39, No. 10, pp. 2222-2236, October 1991.
3. N. P. Galatsanos
and R. T. Chin, Multi-channel
Restoration of Color Images by Kalman Filtering,IEEE Trans. on Signal
Processing, Vol. 39, No. 10, pp. 2237-2252, October 1991.
4. N. P. Galatsanos
and A. K. Katsaggelos, Methods for Choosing the Regularization
Parameter and Estimating the Noise Variance in Image Restoration and their
Relation, IEEE Trans. on Image
Processing, Vol. 1, No. 3, pp. 322-336, July 1992.
5. Y. Huang, H. M. Dreizen, and N. P. Galatsanos, Prioritized DCT for Compression and
Progressive Transmission of Images, IEEE
Trans. on Image Processing, Vol. 1, No. 4, pp. 477-487, October 1992.
6. A. K. Katsaggelos,
K. . Lay, and N. P. Galatsanos,
General Framework for Multi-channel
Signal Processing, IEEE Trans. on
Image Processing, Vol. 2, No. 3, pp. 417-420, July 1993.
7. Y. Yang, N. P. Galatsanos and A. K. Katsaggelos,
Regularized Image Reconstruction to
Remove Blocking Artifacts from Block Discrete Cosine Transform Compressed
Images, IEEE Trans. on Circuits and
Systems for Video Technology, Vol. 3, No. 6, pp. 421-432, December 1993.
8. Y. Yang, N. P. Galatsanos, and H. Stark, Projection Based Blind Deconvolution, Journal
of the Optical Society of America-A, Vol. 11, No. 9, pp. 2401-2409,
September 1994.
9. J. L. Wuster,
H. Stark, and N. P. Galatsanos, Investigation of
Smoothing Techniques for Positron Emission Tomography Imaging, Journal of Electronic Imaging, Vol. 3,
No. 2, pp. 164-175, April 1994.
10. M. Banham,
N. P. Galatsanos, H. Gonzalez, and A. K. Katsaggelos, Multi-channel
Restoration of Single- channel Images
Using a Wavelet Based Subband Decomposition, IEEE Trans. on Image Processing, Vol. 3,
No. 6, pp. 821-833, November 1994.
11. W. Zhu, N. P. Galatsanos and A. K. Katsaggelos,
Regularized Multi-channel Restoration Using Cross-Validation, Graphical Models and Image Processing,
vol. 57, no. 1, pp. 38-54, Jan. 1995.
12. Y. Yang, N. P. Galatsanos and A. K. Katsaggelos,
Projection-Based Spatially-Adaptive
Reconstruction of Block Transform Compressed Images, IEEE Trans. on Image Processing, Vol. 4, No. 7, pp. 896-908, July
1995.
13. V. Mesarovic,
N. P. Galatsanos, and A. K. Katsaggelos,
Image Restoration Using Regularized
Constrained Total-Least Squares,
IEEE Trans. on Image Processing, vol. 4, No. 8, pp. 1096-1108, August 1995.
14. S. Yu and N. P. Galatsanos, Binary
Decomposition for High-Order Entropy Coding of Grayscale Images, IEEE Trans. on Circuits and Systems for
Video Technology, Vol. 6, No. 1, pp. 21-31, February 1996.
15. M. G. Choi,
N. P. Galatsanos, and A. K. Katsaggelos,
Multi-channel Regularized Iterative
Motion Compensated Restoration of Image Sequences, Journal of Visual Communications and Image Representation, Vol. 7,
No. 3, pp. 244-258, September 1996.
16. Y. Yang and N. P. Galatsanos, Compression
Artifact Removal Using Projections onto Convex Sets and Line Process Modeling,
IEEE Trans. on Image Processing, Vol.
6, No. 10, pp. 1345-1357, October 1997.
17. K. Saadah,
N. P. Galatsanos, D. Bless and A. Ramos, Deformation analysis of the vocal folds
from video-stroboscopic image sequences, Journal of the Acoustical Society of America, Vol. 103, No. 6, pp.
3627-3641, June 1998.
18. K. C. Haddad, H. Stark and N. P.
Galatsanos, Design
of Two-Channel Equi-ripple FIR Linear-Phase Quadrature Mirror Filters Using The Vector Space Projection
Method, IEEE Signal Processing
Letters, Vol. 5, No. 167-170, July 1998.
19. A. Abu-Naser,
N. P. Galatsanos, M. Wernick
and D. Shonfeld, Object Recognition Based on Impulse
Restoration Using the Expectation-Maximization Algorithm, Journal of the Optical Society of America,
Vol. 15, No. 9, pp. 2327-2340, September 1998.
20. K. Haddad, H. Stark, and N. P. Galatsanos, Design of
Digital Linear-Phase FIR Crossover Systems for Loudspeakers by the Method of
Vector Space Projections, IEEE
Trans. on Signal Processing, Vol. 47, No. 11, pp. 3058-3066, November 1999.
21. W. Zhu, Y. Wang, N. P. Galatsanos, and J. Zhang, An Efficient Solution to the Regularized
Total Least Squares Approach for Non-Convolutional
Linear Inverse Problems, IEEE Trans.
on Image Processing, Vol. 8, Νο. 11, pp. 1657-1661, November
1999.
22. V. N. Mesarovic, N. P. Galatsanos, and M. N. Wernick, Iterative
LMMSE Restoration of Partially-Known Blurs, Journal of the Optical Society of America-A, Vol. 17, pp. 711-723, April
2000.
23. K. Haddad, H. Stark, and N. P. Galatsanos, Constrained
FIR Filters Design by the Method of Vector Space Projections, IEEE Transactions οn Circuits and
Systems II Analog and Digital Signal Processing, Vol. 47, No. 8, pp. 714-726, August 2000.
24. N. P. Galatsanos, V. N. Mesarovic, R. M. Molina and A. K. Katsaggelos,
Hierarchical
Bayesian Image Restoration from Partially-Known Blurs, IEEE Trans. on Image Processing, Vol. 9, No. 10, pp. 1784-1797,
October 2000.
25. M. G. Choi; Yongyi Yang; N. P. Galatsanos, Multichannel regularized recovery of
compressed video sequences, IEEE Transactions on Circuits and Systems
II: Analog and Digital Signal Processing, Volume: 48 Issue:4, April 2001 Page(s): 376 387.
26. N. P. Galatsanos, V. N. Mesarovic, R. M. Molina, J. Mateos,
and A. K. Katsaggelos, Hyper-parameter Estimation
Using Gamma Hyper-priors in Image Restoration from Partially-Known Blurs, Optical Engineering, 41(8), pp. 1845-1854, August 2002.
27. R. Dufour, E. Miller and N.
P. Galatsanos, Template matching based object
recognition with unknown geometry, IEEE Transactions on Image Processing, vol. 11, No. 12, pp.
1385-1396, December 2002.
28. I El-Naqa, Y Yang, M N. Wernick, N. P. Galatsanos, and R
M. Nishikawa, A Support Vector
Machine Approach for Detection of Microcalcifications,
IEEE Transactions on Medical Imaging, Vol. 21, No. 12, pp. 1552-1653,
December 2002.
29. J. Brankov,
30. M. Wernick, O. Wirjadi, D. Chapman,
Z. Zhong, N. Galatsanos, Y.
Yang, J. Brankov, O. Oltulu,
M. Anastasio
and C. Muehleman, Multiple-image Radiography, Physics
in Medicine and Biology, Vol. 48, No. 23, pp.
3875-3895, December 2003.
31. Likas and N. Galatsanos, A Variational Approach For Bayesian Blind Image Deconvolution, IEEE Transactions on Signal Processing, Volume: 52 , Issue: 8 , pp:2222 2233, August 2004.
32. El. Naqa, Y. Yang, and N. Galatsanos and M. Wernick. A Similarity Learning Approach to
Content Based Image Retrieval: Application to Digital Mammography, IEEE
Transactions on Medical Imaging, Volume: 23 , Issue: 10 , pp:1233-1244,
Oct. 2004
33. P. Dong, J. Brankov, N. Galatsanos, Y. Yang, and F. Davoine,
Digital Watermarking Robust to
Geometric Distortion, IEEE
Transactions on Image Processing, Vol. 14, No. 12, pp. 2140-2150, December
2005.
34. K. Blekas, A. Likas, N. Galatsanos and I. E. Lagaris. A Spatially-Constrained Mixture
Model for Image Segmentation, IEEE
Transactions on Neural Networks, Volume 16, Issue 2, March 2005
Page(s):494 - 498
35.
K. Blekas,
N. P. Galatsanos, A. Likas,
and
36. N. A. Woods, N. P. Galatsanos,
and A. K. Katsaggelos, "Stochastic Methods for
Joint Registration and Interpolation and
Multiple Under Sampled Images", IEEE Trans. on Image Processing,
vol. 15, no. 1, pp. 201-213, Jan. 2006.
37.
Abu-Naser,
N. P. Galatsanos, and M. N. Wernick,
"Methods
of Detecting Objects in Photon Limited Images", Journal of the Optical Society of
38. Chandas, N. P. Galatsanos, and A. Likas,
"Bayesian
Restoration Using a New Non-Stationary Edge-Preserving Image Prior", IEEE
Trans. on Image Processing, Vol. 15, No. 10, pp. 2987-2997, October 2006
39. D. Tzikas, L. Wei, A. Likas, Y. Yang, and N. Galatsanos,
"A Tutorial on Relevance
Vector Machines for Regression and Classification with Applications", EURASIP
NEWS LETTER, Vol. 17, No. 2, pp. 4-23, June 2006.
40.
C. Nikou,
N. Galatsanos, and A. Likas,
"A Class-Adaptive
Spatially Variant Mixture Model for Image Segmentation", IEEE
Trans. on Image Processing, Vol. 16, No. 4, pp. 1121-1130, April 2007.
41.
J. Chantas,
N. P. Galatsanos, and N. Woods, "Super Resolution Based on Fast
Registration and Maximum A Posteriori Reconstruction", IEEE Trans.
on Image Processing, Vol.
16, No. 7, pp. 1821 1830, July 2007.
42.
A. Lukic,
M. Wernick, D. Tzikas, X.
Chen, A. Likas, N. Galatsanos,
Y. Yang, F. Zhao and S. Strother, Bayesian Kernel
Methods for Analysis of Functional Neuroimages, IEEE
Trans. on Medical Imaging, Vol. 26, No. 12, pp. 1613-1622, December 2007.
43.
A. A. Tzika, L. Astrakas, H.i Cao, D. Mintzopoulos, O. C. Andronesi, M. Mindrinos, J.
Zhang, L. Rahme, K. Blekas,
A.C. Likas, N.P. Galatsanos
and P. M. Black Combination of
high-resolution magic angle spinning proton magnetic resonance spectroscopy and
microscale genomics to type brain tumor biopsies,
International Journal of Molecular Medicine, Vol. 20, No. 2, pp.
199-208, August 2007.
44.
Argyropoulou, M.I., Zikou, A.K., Tzovara,
I., Nikas, A., Blekas, K., Margariti, P., Galatsanos, N., Asproudis, I. Non-arteritic anterior ischaemic
optic neuropathy: Evaluation of the brain and optic pathway by conventional MRI
and magnetisation transfer imaging, European
Radiology, Vol. 17, No. 7, pp. 1669-1674, 2007.
45.
D. Tzikas,
A. Likas, and N. Galatsanos,
"Large Scale Multikernel Relevance Vector Machine for Object Detection",
International Journal on Artificial Intelligence Tools, vol. 26, no. 12,
pp. 1613-1622, December 2007.
46.
A. Mairgiotis,
N. Galatsanos and Y. Yang, "New Additive Watermark
Detectors Based on a Hierarchical Spatially Adaptive Image Model", IEEE
Trans. on Information Forensics and Security, vol. 3, no. 1, pp. 29-37, February 2008.
47.
D. Tzikas, A. Likas and N. Galatsanos,
"Life After the EM
Algorithm: The Variational Approximation for
Bayesian Inference",
IEEE Signal Processing Magazine, vol. 25, no. 6, pp. 131-146, December 2008.
48.
K.
Blekas, C. Nikou, N. Galatsanos and N. Tsekos, "A regression Mixture model with spatial
constraints for clustering spatiotemporal data", Journal of
Artificial Intelligence Tools, vol. 17, no. 5, pp. 1023-1041, 2008.
49.
G. Chantas, N. Galatsanos, A. Likas and M. Saunders, "Variational Bayesian
Image Restoration Based on a Product of T-Distributions Image Prior ", IEEE Transactions on Image Processing, vol. 17, no. 10, pp. 1795-1805, October 2008.