2009

• L. An, H. Xie, M.H. Chin, Z. Obradovic, D.J. Smith and V. Megalooikonomou, "Analysis of multiplex gene expression maps obtained by voxelation", BMC Bioinformatics 2009, Vol. 10, (in press).
• Q. Wang, V. Megalooikonomou, C. Faloutsos, "Time Series Analysis with Multiple Resolutions", Information Systems, (to appear).
• D. Kontos, V. Megalooikonomou, J. Gee, "Morphometric analysis of brain images with reduced number of statistical tests: a study on the gender-related differentiation of the corpus callosum", Artificial Intelligence in Medicine, (to appear).
• V. Megalooikonomou, M. Barnathan, D. Kontos, P. R. Bakic, A. D.A. Maidment, "A Representation and Classificationcation Scheme for Tree-like Structures in Medical Images: Analyzing the Branching Pattern of Ductal Trees in X-ray Galactograms", IEEE Transactions on Medical Imaging, Vol. 28, Issue 4, pp. 487-493.
• H. Ling, M. Barnathan, V. Megalooikonomou, P. R. Bakic, and A.D.A. Maidment, "Probabilistic Branching Node Detection Using Hybrid Local Features", ISBI 2009.
• A. Skoura, M. Barnathan, and V. Megalooikonomou, "Classification of Ductal Tree Structures in Galactograms", ISBI 2009.
• E. Miranda, G. Shan, and V. Megalooikonomou, "Performing Vector Quantization Using Reduced Data Representation", Proceedings of the Data Compression Conference, Salt Lake City, Utah, 2009.

2008

• Q. Wang and V. Megalooikonomou, "A Dimensionality Reduction Technique for Efficient Time Series Similarity Analysis," Information Systems, Vol. 33, No. 1, pp. 115-132, 2008.
• L. An, H. Xie, M. Chin, Z. Obradovic, D. Smith, V. Megalooikonomou, "Analysis of Multiplex Gene Expression Maps Obtained By Voxelation", Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine BIBM, Philadelphia, USA, 2008.
• M. Barnathan, J. Zhang, V. Megalooikonomou, "A Web-Accessible Framework for the Automated Storage and Texture Analysis of Biomedical Images", Proceedings of the 5th IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, 2008.
• M. Barnathan, J. Zhang, E. Miranda, V. Megalooikonomou, S. Faro, H. Hensley, L. D. Valle, K. Khalili, J. Gordon, F. B. Mohamed, "A Texture-Based Methodology For Identifying Tissue Type in Magnetic Resonance Images", Proceedings of the 5th IEEE International Symposium on Biomedical Imaging (ISBI), Paris, France, 2008.
• M. Barnathan, R. Li, V. Megalooikonomou, F. Mohamed, S. Faro, "Wavelet Analysis of 4D Motor Task fMRI Data", Proceedings of Computer Assisted Radiology and Surgery (CARS), Barcelona, Spain, 2008.
• M. Barnathan, J. Zhang, D. Kontos, P. Bakic, A. Maidment, V. Megalooikonomou, "Analyzing Tree-Like Structures In Biomedical Images Based On Texture And Branching: An Application To Breast Imaging", Proceedings of the International Workshop on Digital Mammography (IWDM), Tucson, AZ, 2008.
• V. Megalooikonomou, D. Kontos, D. Pokrajac, A. Lazarevic and Z. Obradovic, "An adaptive partitioning approach for mining discriminant regions in 3D image data," Journal of Intelligent Information Systems, , Vol. 31, No. 3, pp. 217-242, 2008.

2007

• J. Zhang and V. Megalooikonomou, "An effective and efficient technique for searching for similar brain activation patterns", Proceedings of the IEEE International Symposium on Biomedical Imaging 2007 (to appear).
• Q. Wang, E. Karamani-Liacouras, E. Miranda, U.S. Kanamala, V. Megalooikonomou, "Classification of brain tumors using MRI and MRS", Proceedings of the SPIE Conference on Medical Imaging, 2007 (to appear).
• V. Megalooikonomou, J. Zhang, D. Kontos, P.R. Bakic, "Analysis of texture patterns in medical images with an application to breast imaging", Proceedings of the SPIE Conference on Medical Imaging, 2007 (to appear).
• L. Latecki, V. Megalooikonomou, Q. Wang, D. Yu, "An Elastic Partial Shape Matching Technique", Pattern Recognition, Vol. 40, No. 11, pp. 3069-3080, 2007.
• V. Megalooikonomou, D. Kontos, "A model for distributed analysis of medical image data across clinical information repositories," IEEE Engineering in Medicine and Biology Magazine, Vol. 26, No. 5, pp. 36-42, 2007.
• C. Faloutsos and V. Megalooikonomou, "On Data Mining, Compression, and Kolmogorov Complexity," Data Mining and Knowledge Discovery , Tenth Anniversary Issue, Vol. 15, No. 1, pp. 3-20(18), 2007.
• D. Kontos, V. Megalooikonomou, M. Sobel, "A Statistical Approach for Selecting Discriminative Features of Spatial Regions of Interest," Intelligent Data Analysis, Vol. 11(2), pp. 111-135, 2007.

2006

• L. J. Latecki, V. Megalooikonomou, R. Miezianko, D. Pokrajac, "Using Spatiotemporal Blocks to Reduce the Uncertainty in Detecting and Tracking Moving Objects in Video," International Journal of Intelligent Systems Technologies, Special Issue on "Intelligent Image and Video Processing and Applications: The Role of Uncertainty", Vol. 1, Nos. 3/4, pp. 376-392, 2006.
• D. Kontos, Q. Wang, V. Megalooikonomou, A. H. Maurer, L. C. Knight, S. Kantor, R. S. Fisher, H. P. Simonian, H. P. Parkman, "A tool for handling uncertainty in segmenting regions of interest in medical images," International Journal of Intelligent Systems Technologies , Special Issue on "Intelligent Image and Video Processing and Applications: The Role of Uncertainty", Vol. 1, Nos. 3/4, pp. 194-210, 2006.
• D. Kontos, V. Megalooikonomou, A. Javadi, P. Bakic, A. Maidment, "Classification of Galactograms Using Fractal Properties of the Breast Ductal Network," Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Arlington, Virginia, April 6-9, pp. 1324-1327, 2006.
• V. Megalooikonomou, D. Kontos, J. Danglemaier, A. Javadi, P. A. Bakic, A.D.A. Maidment, "A representation and classification scheme for tree-like structures in medical images: An application on branching pattern analysis of ductal trees in x-ray galactograms," Proceedings of the SPIE Conference on Medical Imaging, Vol. 6144, 61441H, San Diego, California, Feb. 2006.
• Q. Wang, V. Megalooikonomou, D. Kontos, E. Miranda, V. Calhoun, "Similarity Searches in Brain Image Databases," Human Brain Mapping Conference (OHBM'06), Florence, Italy, June 11-15, 2006, Neuroimage, Vol. 31, Suppl. 1, pp. S173, 2006.
• Wang, V. Megalooikonomou, E. Miranda, E. Karamani-Liacouras, U. S. Kanamalla, "Classification of Brain Tumors in MR Images," Human Brain Mapping Conference (OHBM'06), Florence, Italy, June 11-15, 2006, Neuroimage, Vol. 31, Suppl. 1, pp. S172, 2006.
• P. Bakic, D. Kontos, V. Megalooikonomou, M. Rosen, A. Maidment, "Comparison of Methods for Classification of Breast Ductal Branching Patterns," Proceedings of the 8th International Workshop on Digital Mammography (IWDM), Manchester, England, June 18-21, 2006, Lecture Notes in Computer Science, Vol. 4046, pp. 634-641, 2006.

2005

• D. Kontos and V. Megalooikonomou, "Fast and effective characterization for classification and similarity searches of 2D and 3D spatial region data," Pattern Recognition, Vol. 38, No. 11, pp. 1831-1846, 2005.
• D. Pokrajac, V. Megalooikonomou, A. Lazarevic, D. Kontos, Z. Obradovic, "Applying Spatial Distribution Analysis Techniques to Classification of 3D Medical Images," Artificial Intelligence in Medicine, Vol. 33, No. 3, pp. 261-280, Mar. 2005.
• L. J. Latecki, V. Megalooikonomou, Q. Wang, R. Lakaemper, C. A. Ratanamahatana, and E. Keogh, "Elastic Partial Matching of Time Series," Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Porto, Portugal, Lecture Notes in Computer Science, Vol. 3721, pp. 577-584, 2005.
• V. Megalooikonomou, D. Kontos, N. DeClaris and P. Cano, "Utilizing Domain Knowledge in Neural Network Models for Peptide-Allele Binding Prediction," Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB'05), San Diego, California, Nov. 2005.
• V. Megalooikonomou, Q. Wang, G. Li, C. Faloutsos, "A Multiresolution Symbolic Representation of Time Series," Proceedings of the 21st IEEE International Conference on Data Engineering (ICDE05), Tokyo, Japan, April 5-8, 2005, pp. 668-679.
• Q. Wang, V. Megalooikonomou, G. Li, "A Symbolic Representation of Time Series," Proceedings of the IEEE Eighth International Symposium on Signal Processing and Its Applications (ISSPA'05), Sydney, Australia, Aug. 28-31, 2005, pp. 655-658.
• L. J. Latecki, V. Megalooikonomou, Q. Wang, R. Lakaemper, C. A. Ratanamahatana, and E. Keogh, "Partial Elastic Matching of Time Series," Proceedings of the Fifth IEEE International Conference on Data Mining (ICDM'05), Houston, Texas, Nov. 2005, pp. 701-704.
• D. Kontos, V. Megalooikonomou and J. Gee, "Reducing the computational cost for statistical medical image analysis: An MRI study on the sexual morphological differentiation of the corpus callosum," in Proceedings of the 18th IEEE International Symposium on Computer-Based Medical Systems (CBMS05), Trinity College Dublin, Ireland, June 23-24, pp. 282-287, 2005.
• V. Megalooikonomou, D. Kontos, "Integrating clinical information repositories: A framework for distributed analysis of medical image data," Proceedings of the 5th International Network Conference (INC 2005), Special Session on Image, Signal and Distributed Data Processing for Networked eHealth Applications, Samos Island, Greece, July 2005, pp. 545-552.
• Q. Wang, V. Megalooikonomou, D. Kontos, "A Medical Image Retrieval Framework," Proceedings of the 2005 IEEE International Workshop on Machine Learning for Signal Processing (MLSP05), Mystic, Connecticut, Sept. 28-30, 2005, pp. 233-238.
• Q. Wang, V. Megalooikonomou, "A clustering algorithm for intrusion detection," in Proccedings of the SPIE Conference on Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, Orlando, Florida, USA, March 28 - April 1, Vol. 5812, pp. 31-38, 2005.
• D. Kontos, Q. Wang, V. Megalooikonomou, A. H. Maurer, L. C. Knight, S. Kantor, R. S. Fisher, H. P. Simonian, H. P. Parkman, "A 3D Image Analysis Tool for SPECT Imaging," in Proceedings of the SPIE Conference on Medical Imaging: Visualization, Image-Guided Procedures and Display, Vol. 5744, pp. 839-847, San Diego, CA, Feb. 2005.

2004

• K. Kumaraswamy, V. Megalooikonomou and C. Faloutsos "Fractal Dimension and Vector Quantization," Information Processing Letters, Vol. 91, No. 3, pp. 107-113, Aug. 2004.
• V. Megalooikonomou and Y. Yesha, "Space Efficient Quantization for Decentralized Estimation by a Multi-sensor Fusion System," Information Fusion, Vol.5, No. 4, pp. 299-308, 2004.
• H. P. Simonian, A. H. Maurer, L. C. Knight, S. Kantor, D. Kontos, V. Megalooikonomou, R. S. Fisher, H.P. Parkman, "Simultaneous Assessment of Gastric Accommodation and Emptying: Studies with Liquid and Solid Meals," Journal of Nuclear Medicine,  45: 1155-1160, July 2004.
• V. Megalooikonomou, G. Li, Q. Wang, "A Dimensionality Reduction Technique for Efficient Similarity Analysis of Time Series Databases," The 13th ACM Conference on Information and Knowledge Management (CIKM 04), Washington, D. C. ,USA,  pp. 160-161, November 8-13, 2004.
• R. Lakaemer, L.J. Latecki, V. Megalooikonomou, Q. Wang, X. Wang, "Learning Descriptive and Distinctive Parts of Objects with a Part-Based Shape Similarity Measure," The 6th IASTED International Conference on Signal and Image Processing (SIP 04), Honolulu, Hawaii, USA, August 23-25, 2004.
• D. Kontos, V. Megalooikonomou, M. J. Sobel, Q. Wang, "An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data," in Lecture Notes in Computer Science, Proceedings of the International Workshop on Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical Pattern Recognition (SPR 2004), Lisbon, Portugal, August 18-20, 2004.
• V. Megalooikonomou, Q. Wang, D. Kontos, G. Li, J. Ford, A. Saykin, "Analysis of Brain Image Data using Sequence Analysis Techniques," Human Brain Mapping Conference (OHBM'04), Budapest, Hungary, June 13-17, 2004.
• D. Kontos, V. Megalooikonomou, Q. Wang, J. Ford, F. Makedon, A. Saykin, "Identifying Discriminative fMRI Activation Signatures in Alzheimer's Disease: Studying a Series of Semantic Decision Tasks," Human Brain Mapping Conference (OHBM'04), Budapest, Hungary, June 13-17, 2004.
• D.Kontos and V. Megalooikonomou, "Computationally Intelligent Methods for Mining 3D Medical Images," in Proc. of SETN 2004  the 3rd Hellenic Conference on Artificial Intelligence, Lecture Notes in Artificial Intelligence, Springer-Verlag, Greece,  May 2004.
• Q. Wang, D. Kontos, G. Li and V.  Megalooikonomou, "Application of time series techniques to data mining and analysis of spatial patterns in 3D images," in Proc. of The 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004), Montreal, Canada, May 2004.
• K. Kumaraswamy, C. Faloutsos, G. Shan and V. Megalooikonomou, "Relation between Fractal Dimension and Performance of Vector Quantization," in Proceedings of the Data Compression Conference (DCC'04), Salt Lake City, UT, Mar. 2004.
• D. Kontos and V. Megalooikonomou, "Fast and effective characterization of 3D Region of Interest in medical image data," in Proceedings of SPIE Medical Imaging 2004, San Diego, CA, Feb. 2004.

2003

• D. Kontos, V. Megalooikonomou, N. Ghubade, C. Faloutsos, "Detecting discriminative functional MRI activation patterns using space filling curves," in Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Cancun, Mexico, pp. 963-967, Sep. 2003.
• K. Kumaraswamy, V. Megalooikonomou, "Fractal Dimension and Vector Quantization," in Proceedings of the Workshop on Fractals and Self Similarity in Data Mining, 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'03), , Washington, DC, USA, pp. 29-34, Aug. 24-27, 2003.
• J. Ford, H. Farid, F. Makedon, L.A. Flashman, T.W. McAllister, V. Megalooikonomou, A.J. Saykin, "Patient Classification of fMRI Activation Maps," 6th Annual International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'03), Toronto, Ontario, Canada, 2003 .
• V. Megalooikonomou, D. Kontos, D. Pokrajac, A. Lazarevic, Z. Obradovic, O. Boyko, A. Saykin, J. Ford, F. Makedon, "Classification and Mining of Brain Image Data Using Adaptive Recursive Partitioning Methods: Application to Alzheimer Disease and Brain Activation Patterns," presented at the Human Brain Mapping Conference (OHBM'03), New York, NY, Jun. 2003.

2002

• V. Megalooikonomou, and Y. Yesha, "Quantization for Distributed Estimation using Neural Networks," Information Sciences, Vol. 148, No. 1-4, pp. 185-199, 2002.
• V. Megalooikonomou, H. Dutta, D. Kontos, "Fast and Effective Characterization of 3D Region Data," in Proceedings of the IEEE International Conference on Image Processing (ICIP) 2002, Rochester, NY, pp. 421-424, Sep. 2002.
• V. Megalooikonomou, "Evaluating the performance of association mining methods in 3-D medical image databases," in Proceedings of the 2nd SIAM International Conference on Data Mining, Arlington, VA, pp. 474-494, Apr. 2002.
• V. Megalooikonomou, D. Pokrajac, A. Lazarevic, and Z. Obradovic, "Effective classification of 3-D image data using partitioning methods," in Proceedings of the SPIE 14th Annual Symposium in Electronic Imaging: Conference on Visualization and Data Analysis San Jose, CA, pp. 62-73, Jan. 2002.