Search Results - "Megalooikonomou, V"

Cross gender-age trabecular texture analysis in cone beam CT by Ling, H, Yang, X, Li, P, Megalooikonomou, V, Xu, Y, Yang, J

“…To investigate whether multiple texture features in different regions of interest (ROIs) on cone beam CT (CBCT) are correlated with gender-age variation of…”
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A Representation and Classification Scheme for Tree-Like Structures in Medical Images: Analyzing the Branching Pattern of Ductal Trees in X-ray Galactograms by Megalooikonomou, V., Barnathan, M., Kontos, D., Bakic, P.R., Maidment, A.D.A.

“…We propose a multistep approach for representing and classifying tree-like structures in medical images. Tree-like structures are frequently encountered in…”
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Quantizer design for distributed estimation with communication constraints and unknown observation statistics by Megalooikonomou, V., Yesha, Y.

“…We consider the problem of quantizer design in a distributed estimation system with communication constraints in the case where only a training sequence is…”
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SU‐FF‐I‐168: Morphological Characterization of Arterial Trees in An Experimental Hindlimb Ischemia Model by Kagadis, G, Skoura, A, Megalooikonomou, V, Diamantopoulos, A, Katsanos, K, Karnabatidis, D, Mihailidis, D, Nikiforidis, G

“…Purpose: The objective of this study was the morphological analysis of the arterial trees depicted in digital subtraction angiographic (DSA) images from a well…”
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Is the spatial distribution of brain lesions associated with closed-head injury predictive of subsequent development of attention-deficit/hyperactivity disorder? Analysis with brain-image database by Herskovits, E H, Megalooikonomou, V, Davatzikos, C, Chen, A, Bryan, R N, Gerring, J P

“…To determine whether there is an association between the spatial distribution of lesions detected at magnetic resonance (MR) imaging of the brain in children…”
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Data mining in brain imaging by Megalooikonomou, Vasileios, Ford, James, Shen, Li, Makedon, Fillia, Saykin, Andrew

“…Data mining in brain imaging is proving to be an effective methodology for disease prognosis and prevention. This, together with the rapid accumulation of…”
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Data mining in brain imaging by Megalooikonomou, V., Ford, J., Shen, L., Makedon, F., Saykin, A.

“…Data mining in brain imaging is proving to be an effective methodology for disease prognosis and prevention. This, together with the rapid accumulation of…”
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A simulator for evaluating methods for the detection of lesion-deficit associations by Megalooikonomou, Vasileios, Davatzikos, Christos, Herskovits, Edward H.

“…Although much has been learned about the functional organization of the human brain through lesion-deficit analysis, the variety of statistical and…”
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Classification of galactograms using fractal properties of the breast ductal network by Kontos, D., Megalooikonomou, V., Javadi, A., Bakic, P.R., Maidment, A.D.A.

“…Several types of breast carcinomas tend to spread along the surface of the ductal lumen. Spontaneous nipple discharge can be an early symptom of such cancer…”
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SU‐E‐I‐69: A Cloud Based Application for MRI Brain Image Processing by Kagadis, G, Alexakos, C, Papadimitroulas, P, Mihailidis, D, Megalooikonomou, V, Siablis, D, Papanikolaou, N, Karnabatidis, D

“…Purpose: In this study we present a cloud based application dedicated to MRI brain image processing, providing the flexibility to end users for managing and…”
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Medical Data Fusion for Telemedicine by Megalooikonomou, V., Kontos, D.

“…In this article, we describe a framework for distributed statistical analysis of medical images that operates under minimal bandwidth requirements. This…”
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DrugOn: a fully integrated pharmacophore modeling and structure optimization toolkit by Vlachakis, Dimitrios, Fakourelis, Paraskevas, Megalooikonomou, Vasileios, Makris, Christos, Kossida, Sophia

“…During the past few years, pharmacophore modeling has become one of the key components in computer-aided drug design and in modern drug discovery. DrugOn is a…”
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Learning-based automatic breast tumor detection and segmentation in ultrasound images by Peng Jiang, Jingliang Peng, Guoquan Zhang, Erkang Cheng, Megalooikonomou, V., Haibin Ling

“…Ultrasound (US) images have been widely used in the diagnosis of breast cancer in particular. While experienced doctors may locate the tumor regions in a US…”
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A distributed proximal gradient descent method for tensor completion by Papastergiou, T., Megalooikonomou, V.

“…In this paper, we propose a novel proximal method for CANDECOMP/PARAFAC (CP) decomposition to deal with the tensor completion problem. This approach is based…”
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Spike detection in EEG by LPP and SVM by Zacharaki, E. I., Garganis, K., Mporas, I., Megalooikonomou, V.

“…This study presents a computer algorithm to detect epileptiform discharges (spikes) in electroencephalography (EEG) that are manifestations of an…”
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Analysis of Multiplex Gene Expression Maps Obtained by Voxelation by Li An, Hongbo Xie, Chin, M., Obradovic, Z., Smith, D., Megalooikonomou, V.

“…In this paper we present an approach for identifying the relationships between gene expression maps and gene functions based on the multiplex gene expression…”
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Morphometric analysis of brain images with reduced number of statistical tests: A study on the gender-related differentiation of the corpus callosum by Kontos, Despina, Megalooikonomou, Vasileios, Gee, James C

“…Summary Objective We evaluate the feasibility of applying dynamic recursive partitioning (DRP), an image analysis technique, to perform morphometric analysis…”
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Detecting discriminative functional MRI activation patterns using space filling curves by Kontos, D., Megalooikonomou, V., Ghubade, N., Faloutsos, C.

“…We propose a novel approach for detecting discriminative patterns of functional MRI (fMRI) activation that are associated with non-spatial clinical variables…”
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A multiresolution symbolic representation of time series by Megalooikonomou, V., Wang, Q., Li, G., Faloutsos, C.

“…Efficiently and accurately searching for similarities among time series and discovering interesting patterns is an important and non-trivial problem. In this…”
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Similarity searches of medical image data in peer-to-peer systems by Charisi, A, Megalooikonomou, V

“…The objective of this study is to effectively perform content-based medical image retrieval in distributed systems. We present a method that constructs a…”
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