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ORCIDAristidis Likas
Aristidis C. Likas
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- affiliation: University of Ioannina, Department of Computer Science and Engineering, Greece
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2020 – today
- 2023
[j83]Panagiota Spyridonos, Georgios Gaitanis, Aristidis Likas, Ioannis D. Bassukas:
A convolutional neural network based system for detection of actinic keratosis in clinical images of cutaneous field cancerization. Biomed. Signal Process. Control. 79(Part): 104059 (2023)- [j82]John Pavlopoulos
, Aristidis Likas:
Distance from Unimodality for the Assessment of Opinion Polarization. Cogn. Comput. 15(2): 731-738 (2023) - 2022
- [j81]Evangelos Papapetrou, Aristidis Likas:
A replication strategy for mobile opportunistic networks based on utility clustering. Ad Hoc Networks 125: 102738 (2022) - [j80]Theofanis Gerodimos, Anastasios Asvestas, Georgios P. Mastrotheodoros, Giannis K. Chantas, Ioannis Liougos, Aristidis Likas, Dimitrios F. Anagnostopoulos:
Scanning X-ray Fluorescence Data Analysis for the Identification of Byzantine Icons' Materials, Techniques, and State of Preservation: A Case Study. J. Imaging 8(5): 147 (2022) - [j79]Dafni Skiadopoulou, Aristidis Likas:
Face clustering using a weighted combination of deep representations. Neural Comput. Appl. 34(2): 995-1006 (2022) - [j78]Paraskevi Chasani, Aristidis Likas:
The UU-test for statistical modeling of unimodal data. Pattern Recognit. 122: 108272 (2022) - [c75]Georgios Vardakas, Aristidis Likas:
Implicit Maximum Likelihood Clustering. AIAI (2) 2022: 484-495 - [c74]Spyridon Syntakas, Kostas Vlachos, Aristidis Likas:
Object Detection and Navigation of a Mobile Robot by Fusing Laser and Camera Information. MED 2022: 557-563 - [c73]Christos Zonios, John Pavlopoulos, Aristidis Likas:
Transformer-Based Music Language Modelling and Transcription. SETN 2022: 13:1-13:8 - [i6]Stavros P. Adam, Aristidis C. Likas:
A Set Membership Approach to Discovering Feature Relevance and Explaining Neural Classifier Decisions. CoRR abs/2204.02241 (2022) - [i5]Georgios Vardakas, Aristidis Likas:
Global k-means++: an effective relaxation of the global k-means clustering algorithm. CoRR abs/2211.12271 (2022) - 2020
- [i4]Paraskevi Chasani, Aristidis Likas:
The UU-test for Statistical Modeling of Unimodal Data. CoRR abs/2008.12537 (2020)
2010 – 2019
- 2019
- [j77]Giacomo Boracchi, Lazaros S. Iliadis, Aristidis Likas:
Editorial. Neural Comput. Appl. 31(6): 1679-1681 (2019) - [j76]Stavros P. Adam, Aristidis C. Likas, Michael N. Vrahatis:
Evaluating generalization through interval-based neural network inversion. Neural Comput. Appl. 31(12): 9241-9260 (2019) - [i3]Evangelos Papapetrou, Aristidis Likas:
A Replication Strategy for Mobile Opportunistic Networks based on Utility Clustering. CoRR abs/1912.11146 (2019) - 2018
- [j75]Antonis Ioannidis, Vasileios Chasanis, Aristidis Likas:
Camera Motion Detection Through Frame Splitting and Combination of Region-Based Motion Signals. Int. J. Pattern Recognit. Artif. Intell. 32(9): 1855015:1-1855015:21 (2018) - [c72]Nikolaos Koufos, Aristidis Likas:
The Inclusion Measure for Community Evaluation and Detection in Unweighted Networks. ASONAM 2018: 1053-1056 - [c71]Panagiota Spyridonos, Aggelos Fares Saint, Aristidis Likas, Georgios Gaitanis, Ioannis D. Bassukas:
Multi-Threshold LIP Contour Detection. ICIP 2018: 1912-1916 - [c70]Dimitrios Bekos, Vasileios Chasanis, Aristidis Likas:
Inverting video slide shows. ICMV 2018: 110410N - [c69]Theofilos Chamalis, Aristidis Likas:
The Projected Dip-means Clustering Algorithm. SETN 2018: 14:1-14:7 - [c68]Evangelos Papapetrou, Aristidis Likas:
Cluster-Based Replication: A Forwarding Strategy for Mobile Opportunistic Networks. WOWMOM 2018: 14-19 - 2017
- [j74]Panagiota Spyridonos, Georgios Gaitanis, Aristidis Likas, Ioannis D. Bassukas:
Automatic discrimination of actinic keratoses from clinical photographs. Comput. Biol. Medicine 88: 50-59 (2017) - [j73]Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas:
Real time visual tracking using a spatially weighted von Mises mixture model. Pattern Recognit. Lett. 90: 50-57 (2017) - [c67]Stavros P. Adam, Aristidis C. Likas, Michael N. Vrahatis:
Interval Analysis Based Neural Network Inversion: A Means for Evaluating Generalization. EANN 2017: 314-326 - [e2]Giacomo Boracchi, Lazaros S. Iliadis, Chrisina Jayne, Aristidis Likas:
Engineering Applications of Neural Networks - 18th International Conference, EANN 2017, Athens, Greece, August 25-27, 2017, Proceedings. Communications in Computer and Information Science 744, Springer 2017, ISBN 978-3-319-65171-2 [contents] - 2016
- [j72]Marianna Sakka, Grigorios Tzortzis, Michalis D. Mantzaris, Nick Bekas, Tahsin F. Kellici, Aristidis Likas, Dimitrios Galaris, Ioannis P. Gerothanassis, Andreas G. Tzakos:
PRESS: PRotEin S-Sulfenylation server. Bioinform. 32(17): 2710-2712 (2016) - [j71]Antonis Ioannidis, Vasileios Chasanis, Aristidis Likas:
Weighted multi-view key-frame extraction. Pattern Recognit. Lett. 72: 52-61 (2016) - [c66]Argyris Kalogeratos, Panagiotis Zagorisios, Aristidis Likas:
Improving Text Stream Clustering using Term Burstiness and Co-burstiness. SETN 2016: 16:1-16:9 - 2015
- [j70]Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas:
Visual tracking using spatially weighted likelihood of Gaussian mixtures. Comput. Vis. Image Underst. 140: 43-57 (2015) - [j69]Aristidis Likas, Konstantinos Blekas, Dimitris Kalles:
Editorial. Int. J. Artif. Intell. Tools 24(5): 1502004:1-1502004:2 (2015) - [j68]Demetrios P. Gerogiannis, Christophoros Nikou, Aristidis Likas:
Elimination of Outliers from 2-D Point Sets Using the Helmholtz Principle. IEEE Signal Process. Lett. 22(10): 1638-1642 (2015) - 2014
- [j67]Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas:
Modeling sets of unordered points using highly eccentric ellipses. EURASIP J. Adv. Signal Process. 2014: 11 (2014) - [j66]Konstantinos Blekas, Aristidis Likas:
Sparse regression mixture modeling with the multi-kernel relevance vector machine. Knowl. Inf. Syst. 39(2): 241-264 (2014) - [j65]Grigorios Tzortzis, Aristidis Likas:
The MinMax k-Means clustering algorithm. Pattern Recognit. 47(7): 2505-2516 (2014) - [c65]Demetrios P. Gerogiannis, Christophoros Nikou, Aristidis Likas:
Global sampling of image edges. ICIP 2014: 4712-4716 - [c64]Antonis Ioannidis, Vasileios Chasanis, Aristidis Likas:
An agglomerative approach for shot summarization based on content homogeneity. ICMV 2014: 94451F - [c63]Antonis Ioannidis, Vasileios Chasanis, Aristidis Likas:
Key-Frame Extraction Using Weighted Multi-view Convex Mixture Models and Spectral Clustering. ICPR 2014: 3463-3468 - [c62]Grigorios Tzortzis, Aristidis Likas:
Ratio-Based Multiple Kernel Clustering. ECML/PKDD (3) 2014: 241-257 - [e1]Aristidis Likas, Konstantinos Blekas, Dimitris Kalles:
Artificial Intelligence: Methods and Applications - 8th Hellenic Conference on AI, SETN 2014, Ioannina, Greece, May 15-17, 2014. Proceedings. Lecture Notes in Computer Science 8445, Springer 2014, ISBN 978-3-319-07063-6 [contents] - 2013
- [j64]Petros S. Karvelis, Aristidis Likas:
Fully Unsupervised M-FISH Chromosome Image Characterization. IEEE J. Biomed. Health Informatics 17(6): 1068-1078 (2013) - 2012
- [j63]Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas:
Registering sets of points using Bayesian regression. Neurocomputing 89: 122-133 (2012) - [j62]Argyris Kalogeratos, Aristidis Likas:
Text document clustering using global term context vectors. Knowl. Inf. Syst. 31(3): 455-474 (2012) - [c61]Grigoris S. Piperagkas, George K. Georgoulas, Konstantinos E. Parsopoulos, Chrysostomos D. Stylios, Aristidis Likas:
Integrating particle swarm optimization with reinforcement learning in noisy problems. GECCO 2012: 65-72 - [c60]Konstantinos Blekas, Aristidis Likas:
The Mixture of Multi-kernel Relevance Vector Machines Model. ICDM 2012: 111-120 - [c59]Grigorios Tzortzis, Aristidis Likas:
Kernel-Based Weighted Multi-view Clustering. ICDM 2012: 675-684 - [c58]Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas:
Fast and efficient vanishing point detection in indoor images. ICPR 2012: 3244-3247 - [c57]Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas:
Visual Tracking by Weighted Likelihood Maximization. ICTAI 2012: 246-252 - [c56]Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas:
Gaussian Mixture-based Mean Shift for Tracking under Abrupt Illumination Changes. IIH-MSP 2012: 510-513 - [c55]Argyris Kalogeratos, Aristidis Likas:
Dip-means: an incremental clustering method for estimating the number of clusters. NIPS 2012: 2402-2410 - [c54]Grigorios Tzortzis, Aristidis Likas:
Greedy Unsupervised Multiple Kernel Learning. SETN 2012: 73-80 - 2011
- [j61]Argyris Kalogeratos, Aristidis Likas:
Document clustering using synthetic cluster prototypes. Data Knowl. Eng. 70(3): 284-306 (2011) - [j60]Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas:
Visual tracking using the Earth Mover's Distance between Gaussian mixtures and Kalman filtering. Image Vis. Comput. 29(5): 295-305 (2011) - [c53]Marko Robnik-Sikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Strumbelj:
Efficiently Explaining Decisions of Probabilistic RBF Classification Networks. ICANNGA (1) 2011: 169-179 - [c52]Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas:
A split-and-merge framework for 2D shape summarization. ISPA 2011: 206-211 - 2010
- [j59]Petros S. Karvelis, Aristidis Likas, Dimitrios I. Fotiadis:
Identifying touching and overlapping chromosomes using the watershed transform and gradient paths. Pattern Recognit. Lett. 31(16): 2474-2488 (2010) - [j58]Christophoros Nikou, Aristidis Likas, Nikolas P. Galatsanos:
A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures. IEEE Trans. Image Process. 19(9): 2278-2289 (2010) - [c51]Dimitris Tzikas, Aristidis Likas:
An Incremental Bayesian Approach for Training Multilayer Perceptrons. ICANN (1) 2010: 87-96 - [c50]Vasileios Karavasilis, Christophoros Nikou, Aristidis Likas:
Visual Tracking by Adaptive Kalman Filtering and Mean Shift. SETN 2010: 153-162 - [c49]Vasileios Chasanis, Aristidis Likas:
Event Detection and Classification in Video Surveillance Sequences. SETN 2010: 309-314
2000 – 2009
- 2009
- [j57]Apostolos Marakakis, Nikolaos Galatsanos, Aristidis Likas, Andreas Stafylopatis:
Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models. IET Image Process. 3(1): 10-25 (2009) - [j56]Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas:
The mixtures of Student's t-distributions as a robust framework for rigid registration. Image Vis. Comput. 27(9): 1285-1294 (2009) - [j55]Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos:
Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines. Pattern Recognit. Lett. 30(1): 55-65 (2009) - [j54]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors. IEEE Trans. Image Process. 18(4): 753-764 (2009) - [j53]Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos:
Scene Detection in Videos Using Shot Clustering and Sequence Alignment. IEEE Trans. Multim. 11(1): 89-100 (2009) - [j52]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Sparse Bayesian Modeling With Adaptive Kernel Learning. IEEE Trans. Neural Networks 20(6): 926-937 (2009) - [j51]Grigorios Tzortzis, Aristidis Likas:
The Global Kernel k -Means Algorithm for Clustering in Feature Space. IEEE Trans. Neural Networks 20(7): 1181-1194 (2009) - [c48]Vasileios Chasanis, Argyris Kalogeratos, Aristidis Likas:
Movie segmentation into scenes and chapters using locally weighted bag of visual words. CIVR 2009 - [c47]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. ICANN (1) 2009: 50-59 - [c46]Grigorios Tzortzis, Aristidis Likas:
Convex Mixture Models for Multi-view Clustering. ICANN (2) 2009: 205-214 - [c45]Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis:
Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection. ICANN (1) 2009: 942-951 - [c44]Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis:
Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval. AIAI 2009: 249-258 - 2008
- [j50]Constantinos Constantinopoulos, Aristidis Likas:
Semi-supervised and active learning with the probabilistic RBF classifier. Neurocomputing 71(13-15): 2489-2498 (2008) - [j49]Dimitris G. Tzikas, Aristidis C. Likas, Nikolas P. Galatsanos:
The variational approximation for Bayesian inference. IEEE Signal Process. Mag. 25(6): 131-146 (2008) - [j48]Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas, Michael A. Saunders:
Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior. IEEE Trans. Image Process. 17(10): 1795-1805 (2008) - [c43]Anastasios Alivanoglou, Aristidis Likas:
Probabilistic Models Based on the Pi-Sigmoid Distribution. ANNPR 2008: 36-43 - [c42]Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos:
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. ICANN (1) 2008: 847-856 - [c41]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 - [c40]Grigorios Tzortzis, Aristidis Likas:
The global kernel k-means clustering algorithm. IJCNN 2008: 1977-1984 - [c39]Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos:
Video rushes summarization using spectral clustering and sequence alignment. TVS 2008: 75-79 - [c38]Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas:
A Sparse Regression Mixture Model for Clustering Time-Series. SETN 2008: 64-72 - [c37]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Incremental Relevance Vector Machine with Kernel Learning. SETN 2008: 301-312 - [p1]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 - 2007
- [j47]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Large Scale Multikernel Relevance Vector Machine for Object Detection. Int. J. Artif. Intell. Tools 16(6): 967-979 (2007) - [j46]Christophoros Nikou, Nikolas P. Galatsanos, Aristidis Likas:
A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation. IEEE Trans. Image Process. 16(4): 1121-1130 (2007) - [j45]Ana S. Lukic, Miles N. Wernick, Dimitris Tzikas, Xu Chen, Aristidis Likas, Nikolas P. Galatsanos, Yongyi Yang, E. Zhao, Stephen C. Strother:
Bayesian Kernel Methods for Analysis of Functional Neuroimages. IEEE Trans. Medical Imaging 26(12): 1613-1624 (2007) - [j44]Constantinos Constantinopoulos, Aristidis Likas:
Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. IEEE Trans. Neural Networks 18(3): 745-755 (2007) - [c36]Constantinos Constantinopoulos, Aristidis Likas:
Image Modeling and Segmentation Using Incremental Bayesian Mixture Models. CAIP 2007: 596-603 - [c35]Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas:
Robust Image Registration using Mixtures of t-distributions. ICCV 2007: 1-8 - [c34]Demetrios Gerogiannis, Christophoros Nikou, Aristidis Likas:
Rigid Image Registration based on Pixel Grouping. ICIAP 2007: 595-602 - [c33]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Variational Bayesian Blind Image Deconvolution with Student-T Priors. ICIP (1) 2007: 109-112 - [c32]Grigorios Tzortzis, Aristidis Likas:
Deep Belief Networks for Spam Filtering. ICTAI (2) 2007: 306-309 - [c31]Dimitris Tzikas, Matjaz Kukar, Aristidis Likas:
Transductive Reliability Estimation for Kernel Based Classifiers. IDA 2007: 37-47 - [c30]Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos:
Scene Detection in Videos Using Shot Clustering and Symbolic Sequence Segmentation. MMSP 2007: 187-190 - [c29]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Robust variational bayesian kernel based blind image deconvolution. VISAPP (Special Sessions) 2007: 143-150 - 2006
- [j43]Christos D. Katsis, Yorgos Goletsis, Aristidis Likas, Dimitrios I. Fotiadis, Ioannis Sarmas:
A novel method for automated EMG decomposition and MUAP classification. Artif. Intell. Medicine 37(1): 55-64 (2006) - [j42]Constantinos Constantinopoulos, Michalis K. Titsias, Aristidis Likas:
Bayesian Feature and Model Selection for Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 1013-1018 (2006) - [j41]Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas:
Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior. IEEE Trans. Image Process. 15(10): 2987-2997 (2006) - [j40]Constantinos Constantinopoulos, Aristidis Likas:
An incremental training method for the probabilistic RBF network. IEEE Trans. Neural Networks 17(4): 966-974 (2006) - [c28]Christophoros Nikou, Nikolaos Galatsanos, Aristidis Likas, Konstantinos Blekas:
Image segmentation with a class-adaptive spatially constrained mixture model. EUSIPCO 2006: 1-5 - [c27]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function. EUSIPCO 2006: 1-5 - [c26]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 - [c25]Constantinos Constantinopoulos, Aristidis Likas:
Active Learning with the Probabilistic RBF Classifier. ICANN (1) 2006: 357-366 - [c24]Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos:
Large Scale Multikernel RVM for Object Detection. SETN 2006: 389-399 - [c23]Argyris Kalogeratos, Aristidis Likas:
A Significance-Based Graph Model for Clustering Web Documents. SETN 2006: 516-519 - 2005
- [j39]Athanasios N. Papadopoulos, Dimitrios I. Fotiadis, Aristidis Likas:
Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines. Artif. Intell. Medicine 34(2): 141-150 (2005) - [j38]Konstantinos Blekas, Dimitrios I. Fotiadis, Aristidis Likas:
Motif-Based Protein Sequence Classification Using Neural Networks. J. Comput. Biol. 12(1): 64-82 (2005) - [j37]Ioannis G. Tsoulos, Isaac E. Lagaris, Aristidis Likas:
Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural Networks. Neural Parallel Sci. Comput. 13(2): 161-178 (2005) - [j36]Vasilios C. Protopappas, Dina Baga, Dimitrios I. Fotiadis, Aristidis Likas, Athanasios A. Papachristos, Konstantinos N. Malizos:
An ultrasound wearable system for the monitoring and acceleration of fracture healing in long bones. IEEE Trans. Biomed. Eng. 52(9): 1597-1608 (2005) - [j35]Aristidis G. Anagnostakis, M. Tzima, G. C. Sakellaris, Dimitrios I. Fotiadis, Aristidis Likas:
Semantics-based information modeling for the health-care administration sector: the Citation platform. IEEE Trans. Inf. Technol. Biomed. 9(2): 239-247 (2005) - [j34]Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris:
Mixture model analysis of DNA microarray images. IEEE Trans. Medical Imaging 24(7): 901-909 (2005) - [j33]Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris:
A spatially constrained mixture model for image segmentation. IEEE Trans. Neural Networks 16(2): 494-498 (2005) - [c22]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 - [c21]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 - 2004
- [j32]Dimitrios S. Frossyniotis, Aristidis Likas, Andreas Stafylopatis:
A clustering method based on boosting. Pattern Recognit. Lett. 25(6): 641-654 (2004) - [j31]Yorgos Goletsis, Costas Papaloukas, Dimitrios I. Fotiadis, Aristidis Likas, Lampros K. Michalis:
Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis. IEEE Trans. Biomed. Eng. 51(10): 1717-1725 (2004) - [j30]Aristidis Likas, Nikolas P. Galatsanos:
A variational approach for Bayesian blind image deconvolution. IEEE Trans. Signal Process. 52(8): 2222-2233 (2004) - [c20]Dimitris G. Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick:
Bayesian regression of functional neuroimages. EUSIPCO 2004: 801-804 - [c19]