George K. Matsopoulos

发表

Image contrast enhancement through regional application of partitioned iterated function systems

Georgia D. Koutsouri, Theodore L. Economopoulos, George K. Matsopoulos, 2013, J. Electronic Imaging.

Deriving resting-state fMRI biomarkers for classification of autism spectrum disorder

George K. Matsopoulos, Antonis D. Savva, Aikaterini S. Karampasi, 2020 .

Hardware Acceleration of Image Registration Algorithm on FPGA-based Systems on Chip

Theodore L. Economopoulos, George K. Matsopoulos, Dimitrios Soudris, 2019, COINS.

A new morphological scale space operator

George K. Matsopoulos, S. Marshall, 1992 .

Contrast enhancement of images using Partitioned Iterated Function Systems

Theodore L. Economopoulos, George K. Matsopoulos, Pantelis A. Asvestas, 2010, Image Vis. Comput..

Analysis of Brain Signals for the Discrimination of Observations of Correct and Incorrect Actions

George K. Matsopoulos, Spiros Kostopoulos, Pantelis A. Asvestas, 2014 .

Efficient Implementation of the Marching Cubes Algorithm for Rendering Medical Data

Konstantina S. Nikita, George K. Matsopoulos, Kostas Delibasis, 1999, HPCN Europe.

Classification of Evoked Potentials Associated with Error Observation Using Artificial Neural Networks

George K. Matsopoulos, Irene S. Karanasiou, P. Asvestas, 2014 .

Multivariate Autoregressive Modeling Combined with Simulated Annealing Optimization for Classifying Sources of Event Related Potentials

Konstantina S. Nikita, George K. Matsopoulos, Charalambos Papageorgiou, 2005 .

A Spartan3E-based low-cost system for gamma-ray detection in small single photon emission computed tomography or positron emission tomography systems

George Loudos, George K. Matsopoulos, Eleftherios Fysikopoulos, 2011 .

Automatic retinal registration using global optimization techniques

Konstantina S. Nikita, George K. Matsopoulos, N. A. Mouravliansky, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

Automatic Correspondence on Medical Images: A Comparative Study of Four Methods for Allocating Corresponding Points

Theodore L. Economopoulos, George K. Matsopoulos, Pantelis A. Asvestas, 2009, Journal of Digital Imaging.

Software platform for managing the classification of error- related potentials of observers

George K. Matsopoulos, Spiros Kostopoulos, Konstantinos Sidiropoulos, 2015 .

Transformation of Physical DVHs to Radiobiologically Equivalent Ones in Hypofractionated Radiotherapy Analyzing Dosimetric and Clinical Parameters: A Practical Approach for Routine Clinical Practice in Radiation Oncology

George K. Matsopoulos, Irene S. Karanasiou, Nikolaos Kelekis, 2013, Comput. Math. Methods Medicine.

Thoracic non-rigid registration combining self-organizing maps and radial basis functions

George K. Matsopoulos, Kostas Delibasis, Pantelis A. Asvestas, 2005, Medical Image Anal..

Isocenter Verification in Radiotherapy based on Automatic Image Registration

George K. Matsopoulos, Pantelis A. Asvestas, Vasiliki E. Markaki, 2009 .

Estimation of fractal dimension of images using a fixed mass approach

Konstantina S. Nikita, George K. Matsopoulos, Pantelis A. Asvestas, 1999, Pattern Recognit. Lett..

Self-Organizing Maps

George K. Matsopoulos, G. Matsopoulos, 2010 .

Automatic Correspondence Methods towards Point-Based Medical Image Registration: An Evaluation Study

George K. Matsopoulos, G. Matsopoulos, 2009 .

A Decision Support System for the Prediction of the Trabecular Fracture Zone

George K. Matsopoulos, Simone Tassani, Vasileios Korfiatis, 2012, ANNPR.

State-of-the-Art Neural Networks Applications in Biology

George K. Matsopoulos, Sophia Kossida, Nikitas Papangelopoulos, 2013 .

MR functional cardiac imaging: Segmentation, measurement and WWW based visualisation of 4D data

Konstantina S. Nikita, George K. Matsopoulos, Kostas Delibasis, 1999, Future Gener. Comput. Syst..

Diagnosis - A Global Alignment and Fusion Medical System

Giannis Tzimas, George K. Matsopoulos, Athanasios K. Tsakalidis, 2010, HEALTHINF.

Use of morphological image processing techniques for the measurement of a fetal head from ultrasound images

George K. Matsopoulos, S. Marshall, G. Matsopoulos, 1994, Pattern Recognit..

A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images

Georgia D. Koutsouri, George K. Matsopoulos, Dimitrios I. Fotiadis, 2015, Comput. Biol. Medicine.

Hermite Kernels for slice interpolation in medical images

George K. Matsopoulos, Kostas Delibasis, Nicholas D. Assimakis, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Classification of Error Related Brain Activity in an Auditory Identification Task with Conditions of Varying Complexity

George K. Matsopoulos, Irene S. Karanasiou, I Kakkos, 2017 .

Human-Machine Interfaces for Motor Rehabilitation

George K. Matsopoulos, Georgios N. Dimitrakopoulos, Ioannis Kakkos, 2020, Advanced Computational Intelligence in Healthcare.

SCAPEVIEWER: preliminary results of a landscape perception classification system based on neural network technology

Konstantina S. Nikita, George K. Matsopoulos, Nikolaos K. Uzunoglu, 2005 .

An implicit evolution scheme for active contours and surfaces based on IIR filtering

George K. Matsopoulos, Kostas Delibasis, Pantelis A. Asvestas, 2014, Comput. Biol. Medicine.

Comparison of Different Global and Local Automatic Registration Schemes: An Application to Retinal Images

Konstantina S. Nikita, George K. Matsopoulos, Pantelis A. Asvestas, 2004, MICCAI.

An Independent Active Contours Segmentation framework for bone micro-CT images

George K. Matsopoulos, Simone Tassani, Vasileios Ch. Korfiatis, 2017, Comput. Biol. Medicine.

A COMBINATION OF GLOBAL AND ELASTIC TRANSFORMATIONS FOR THE AUTOMATIC MEDICAL SURFACE REGISTRATION

Konstantina S. Nikita, George K. Matsopoulos, N. A. Mouravliansky, 2000 .

Classification of Event-Related Potentials associated with response errors in actors

George K. Matsopoulos, Irene S. Karanasiou, E. Ventouras, 2008, BIBE.

Isocenter Verification in Radiotherapy Clinical Practice Using Virtual Simulation: An Image Registration Approach

George K. Matsopoulos, Pantelis A. Asvestas, Kalliopi Platoni, 2017 .

Classification of Event Related Potentials of Error-Related Observations Using Support Vector Machines

George K. Matsopoulos, Pantelis A. Asvestas, Errikos M. Ventouras, 2013, EANN.

A Spartan 6 FPGA-based data acquisition system for dedicated imagers in nuclear medicine *

George Loudos, George K. Matsopoulos, Maria Georgiou, 2012 .

Data Cylinders in Medical Image Fusion

George K. Matsopoulos, Stephen Marshall, Dinei Florencio, 1995 .

Classification of hysteroscopical images using texture and vessel descriptors

George K. Matsopoulos, Pantelis A. Asvestas, Fani Gkrozou, 2013, Medical and Biological Engineering and Computing.

Alignment of three-dimensional point clouds using combined descriptors

Theodore L. Economopoulos, George K. Matsopoulos, Errikos M. Ventouras, 2014, 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA).

Detection of glaucomatous change based on vessel shape analysis

George K. Matsopoulos, Kostas Delibasis, Pantelis A. Asvestas, 2008, Comput. Medical Imaging Graph..

Application of Morphological Pyramids: Fusion of MR and CT Phantoms

George K. Matsopoulos, S. Marshall, 1995, J. Vis. Commun. Image Represent..

WWW based measurement and visualization of 4D MR cardiac data: a pilot study

George K. Matsopoulos, Andy Marsh, Konstantinos K. Delibasis, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

Bimodal CT/MRI-Based Segmentation Method for Intervertebral Disc Boundary Extraction

George K. Matsopoulos, Michalis A. Savelonas, Pantelis A. Asvestas, 2020, Inf..

Resting state and task related fMRI in small cell lung cancer patients

Georgios D. Mitsis, George K. Matsopoulos, Nikolaos K. Uzunoglu, 2013, 13th IEEE International Conference on BioInformatics and BioEngineering.

CLASSIFICATION OF ULTRASONIC LIVER IMAGES USING A NEW ESTIMATOR OF FRACTAL DIMENSION

Konstantina S. Nikita, George K. Matsopoulos, Asvestas Pa, 2000 .

An application of multimodal image registration and fusion in a 3D tumor simulation model

George K. Matsopoulos, Evangelia I. Zacharaki, Konstantina S. Nikita, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Medical imaging correction: A comparative study of five contrast and brightness matching methods

George K. Matsopoulos, G. Matsopoulos, 2012, Comput. Methods Programs Biomed..

Regional Partitioned Iterated Function Systems for digital image enhancement

Theodore L. Economopoulos, George K. Matsopoulos, Pantelis A. Asvestas, 2012, 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA).

Identification of Observations of Correct or Incorrect Actions using Second Order Statistical Features of Event Related Potentials

George K. Matsopoulos, Spiros Kostopoulos, Pantelis A. Asvestas, 2015, BIOSIGNALS.

Geometry-based vs. intensity-based medical image registration: A comparative study on 3D CT data

Theodore L. Economopoulos, George K. Matsopoulos, Antonis D. Savva, 2016, Comput. Biol. Medicine.

Automatic point correspondence using an artificial immune system optimization technique for medical image registration

George K. Matsopoulos, Kostas Delibasis, Pantelis A. Asvestas, 2011, Comput. Medical Imaging Graph..

MITIS: a WWW-based medical system for managing and processing gynecological-obstetrical-radiological data

George K. Matsopoulos, Kostas Delibasis, Pantelis A. Asvestas, 2004, Comput. Methods Programs Biomed..

Contrast enhancement of images using Partitioned Iterated Function Systems

Theodore L. Economopoulos, George K. Matsopoulos, Pantelis A. Asvestas, 2007, Image Vis. Comput..

Low cost FPGA based data acquisition system for a gamma imaging probe

George Loudos, George K. Matsopoulos, Eleftherios Fysikopoulos, 2013 .

Feature migration in morphological scale space

George K. Matsopoulos, S. Marshall, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A condition-independent framework for the classification of error-related brain activity

George K. Matsopoulos, Errikos M. Ventouras, Irene S. Karanasiou, 2020, Medical & Biological Engineering & Computing.

Fusion of MR and CT Images of the Human Brain Using Multiresolution Morphology

George K. Matsopoulos, John N. H. Brunt, S. Marshall, 1994, ISMM.

Image Registration Based on Lifting Process: An Application to Digital Subtraction Radiography

George K. Matsopoulos, Kostas Delibasis, Pantelis A. Asvestas, 2006, IEEE Transactions on Information Technology in Biomedicine.

Local analysis of trabecular bone fracture

George K. Matsopoulos, Simone Tassani, Fragiskos Demenegas, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A classification system based on a new wrapper feature selection algorithm for the diagnosis of primary and secondary polycythemia

George K. Matsopoulos, Kostas Delibasis, Pantelis A. Asvestas, 2013, Comput. Biol. Medicine.

A Power Differentiation Method of Fractal Dimension Estimation for 2-D Signals

Konstantina S. Nikita, George K. Matsopoulos, Pantelis A. Asvestas, 1998, J. Vis. Commun. Image Represent..

Multires-olution morphological fusion of mr and ct images of the human brain

Stewart Marshall, George K. Matsopoulos, John N. H. Brunt, 1994 .

Analysis of resting state and task-related fMRI data in small cell lung cancer patients before undertaking PCI

George K. Matsopoulos, Nikolaos K. Uzunoglu, Errikos M. Ventouras, 2014, 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH).

Classification of Error-Related Negativity (ERN) and Positivity (Pe) potentials using kNN and Support Vector Machines

George K. Matsopoulos, Pantelis A. Asvestas, Errikos M. Ventouras, 2011, Comput. Biol. Medicine.

A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier

Konstantina S. Nikita, George K. Matsopoulos, Stavroula G. Mougiakakou, 2003, IEEE Transactions on Information Technology in Biomedicine.

An artificial neural network approach to the classification of inferred intracranial signals

George K. Matsopoulos, Christos E. Vasios, C. Vasios, 2006 .

Automatic identification of eye movements using the largest lyapunov exponent

George K. Matsopoulos, Pantelis A. Asvestas, Errikos M. Ventouras, 2018, Biomed. Signal Process. Control..

Fingerprint Matching with Self Organizing Maps

George K. Matsopoulos, Pantelis A. Asvestas, Anastasia N. Ouzounoglou, 2010 .

Multimodal registration of retinal images using self organizing maps

George K. Matsopoulos, Kostas Delibasis, Pantelis A. Asvestas, 2004, IEEE Transactions on Medical Imaging.

Computer-Aided Diagnosis of Thyroid Malignancy Using an Artificial Immune System Classification Algorithm

George K. Matsopoulos, Kostas Delibasis, Pantelis A. Asvestas, 2009, IEEE Transactions on Information Technology in Biomedicine.

A New Ensemble Classification System For Fracture Zone Prediction Using Imbalanced Micro-CT Bone Morphometrical Data

George K. Matsopoulos, Vasileios Ch. Korfiatis, Simone Tassani, 2018, IEEE Journal of Biomedical and Health Informatics.

Automatic local parameterization of the Chan Vese active contour model's force coefficients using edge information

George K. Matsopoulos, Pantelis A. Asvestas, Vasileios Korfiatis, 2015, J. Vis. Commun. Image Represent..

Multimodal genetic algorithms-based algorithm for automatic point correspondence

George K. Matsopoulos, Kostas Delibasis, Pantelis A. Asvestas, 2010, Pattern Recognit..

Automatic identification of oculomotor behavior using pattern recognition techniques

George K. Matsopoulos, Pantelis A. Asvestas, Errikos M. Ventouras, 2015, Comput. Biol. Medicine.

Registration and Fusion Techniques for Medical Images: Demonstration and Evaluation

Giannis Tzimas, George K. Matsopoulos, Athanasios K. Tsakalidis, 2010, BIOSTEC.

Medical Image Registration and Fusion Techniques: A Review

George K. Matsopoulos, Konstantinos K. Delibasis, N. A. Mouravliansky, 2000 .

Automatic retinal image registration scheme using global optimization techniques

Konstantina S. Nikita, George K. Matsopoulos, Kostas Delibasis, 1999, IEEE Transactions on Information Technology in Biomedicine.

A new method for gridding DNA microarrays

George K. Matsopoulos, Christoforos C. Charalambous, 2013, Comput. Biol. Medicine.

Two 27 MHz Simple Inductive Loops, as Hyperthermia Treatment Applicators: Theoretical Analysis and Development

George K. Matsopoulos, Nikolaos K. Uzunoglu, Maria Koutsoupidou, 2015, Comput. Math. Methods Medicine.

Infusing Image Processing Capabilities into an RFID-Based Personal Mobile Medical Assistant

Nikos Dimitropoulos, George K. Matsopoulos, Pantelis Georgiadis, 2011, MobiHealth.

Application of Kohonen network for automatic point correspondence in 2D medical images

George K. Matsopoulos, Pantelis A. Asvestas, Vasiliki E. Markaki, 2009, Comput. Biol. Medicine.

Combining a morphological interpolation approach with a surface reconstruction method for the 3-D representation of tomographic data

Konstantina S. Nikita, George K. Matsopoulos, Kostas Delibasis, 2004, J. Vis. Commun. Image Represent..

An iterative point correspondence algorithm for automatic image registration: An application to dental subtraction radiography

George K. Matsopoulos, Pantelis A. Asvestas, Vasiliki E. Markaki, 2009, Comput. Methods Programs Biomed..

Altered Brain Functional Connectivity in Small-Cell Lung Cancer Patients after Chemotherapy Treatment: A Resting-State fMRI Study

George K. Matsopoulos, Irene S. Karanasiou, Nikolaos Kelekis, 2017, Comput. Math. Methods Medicine.

A decision support system for the classification of event-related potentials

Konstantina S. Nikita, George K. Matsopoulos, Nikolaos K. Uzunoglu, 2002, 6th Seminar on Neural Network Applications in Electrical Engineering.

Automatic identification of trabecular bone fracture

George K. Matsopoulos, Fabio Baruffaldi, Pantelis A. Asvestas, 2010 .

Tract-Based Spatial Statistics analysis of diffusion-tensor imaging data in patients with Small Cell Lung Cancer

Advances in Artificial Intelligence for the Identification of Epileptiform Discharges

George K. Matsopoulos, Kyriakos Garganis, Ioannis Kakkos, 2021, Handbook of Artificial Intelligence in Healthcare.

Automatic aortic valve area detection in echocardiography images using convolutional neural networks and U-net architecture for bicuspid aortic valve recognition

George K. Matsopoulos, Michalis E. Zervakis, Konstantia Moirogiorgou, 2021, 2021 IEEE International Conference on Imaging Systems and Techniques (IST).

Informative Biomarkers for Autism Spectrum Disorder Diagnosis in Functional Magnetic Resonance Imaging Data on the Default Mode Network

George K. Matsopoulos, Antonis D. Savva, Aikaterini S. Karampasi, 2021, Applied Sciences.

Recognition of Blinks Activity Patterns during Stress Conditions Using CNN and Markovian Analysis

George K. Matsopoulos, Kostas Marias, Pantelis A. Asvestas, 2021 .

Machine Learning Model for Predicting CVD Risk on NHANES Data

George K. Matsopoulos, Michalis E. Zervakis, Ekaterini S. Bei, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Vertebrae, IVD and spinal canal boundary extraction on MRI, utilizing CT-trained active shape models

George K. Matsopoulos, Michalis A. Savelonas, Dimitrios Papageorgiou, 2021, International Journal of Computer Assisted Radiology and Surgery.

An image processing technique for the quantitative analysis of hip disorder in Perthes' disease

Konstantina S. Nikita, George K. Matsopoulos, N. K. Uzunoglu, 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Discrete states of attention during active visual fixation revealed by Markovian analysis of the time series of intrusive saccades

George K. Matsopoulos, Pantelis A. Asvestas, Errikos M. Ventouras, 2016, Neuroscience.

Classification of hepatic lesions from CT images using texture features and neural networks

M. Gletsos, Konstantina S. Nikita, George K. Matsopoulos, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Morphological data fusion in medical imaging

George K. Matsopoulos, Stephen Marshall, 1993, IEEE Winter Workshop on Nonlinear Digital Signal Processing.

3D Structural Bioinformatics of Proteins and Antibodies: State of the Art Perspectives and Challenges

George K. Matsopoulos, Sophia Kossida, Dimitrios Vlachakis, 2013 .

Automated metabolite identification from biological fluid 1H NMR spectra

George K. Matsopoulos, Dionisis Cavouras, Panagiotis Zoumpoulakis, 2017, Metabolomics.