G Anastassopoulos
G Anastassopoulos
Professor of Informatics, Democritus University of Thrace
Verified email at med.duth.gr
Cited by
Cited by
Genetic algorithm pruning of probabilistic neural networks in medical disease estimation
D Mantzaris, G Anastassopoulos, A Adamopoulos
Neural Networks 24 (8), 831-835, 2011
JPEG2000 ROI coding in medical imaging applications
GK Anastassopoulos, A Skodras
Proc. 2nd IASTED Int. Conf. on Visualisation, Imaging and Image Processing …, 2002
A contextual data mining approach toward assisting the treatment of anxiety disorders
TC Panagiotakopoulos, DP Lyras, M Livaditis, KN Sgarbas, ...
IEEE transactions on information technology in biomedicine 14 (3), 567-581, 2010
Medical disease prediction using artificial neural networks
DH Mantzaris, GC Anastassopoulos, DK Lymberopoulos
2008 8th IEEE International Conference on BioInformatics and BioEngineering, 1-6, 2008
Prognostic significance of CD95, P53, and BCL2 expression in extranodal non-Hodgkin’s lymphoma
A Chatzitolios, I Venizelos, G Tripsiannis, G Anastassopoulos, ...
Annals of hematology 89 (9), 889-896, 2010
A user-centered, object-oriented methodology for developing health information systems: a Clinical Information System (CIS) example
G Konstantinidis, GC Anastassopoulos, AS Karakos, E Anagnostou, ...
Journal of medical systems 36 (2), 437-450, 2012
A novel data preprocessing method for boosting neural network performance: a case study in osteoporosis prediction
T Iliou, CN Anagnostopoulos, IM Stephanakis, G Anastassopoulos
Information Sciences 380, 92-100, 2017
A non-symbolic implementation of abdominal pain estimation in childhood
D Mantzaris, G Anastassopoulos, A Adamopoulos, S Gardikis
Information Sciences 178 (20), 3860-3866, 2008
Intelligent prediction of vesicoureteral reflux disease
DH Mantzaris, GC Anastassopoulos, AD Tsalkidis, AV Adamopoulos
WSEAS Transactions on Systems 4 (9), 1440-1449, 2005
Osteoporosis detection using machine learning techniques and feature selection
T Iliou, CN Anagnostopoulos, G Anastassopoulos
International Journal on Artificial Intelligence Tools 23 (05), 1450014, 2014
ILIOU machine learning preprocessing method for depression type prediction
T Iliou, G Konstantopoulou, M Ntekouli, C Lymperopoulou, ...
Evolving Systems 10 (1), 29-39, 2019
A new SCP-ECG module for telemedicine services
G Mandellos, M Koukias, G Anastassopoulos, D Lymperopoulos
Interchange 6, 7, 2004
Enhancement of medical images using a fuzzy model for segment dependent local equalization
I Stephanakis, G Anastassopoulos, A Karayiannakis, C Simopoulos
3rd International Symposium on Image and Signal Processing and Analysis …, 2003
ELPIDA: a general architecture for medical imaging systems supporting telemedicine applications
DC Lymberopoulos, KV Spiropoulos, GC Anastassopoulos, ...
Journal of Electronic Imaging 4 (1), 84-97, 1995
Allergic sensitization prevalence in a children and adolescent population of Northeastern Greece region
M Katotomichelakis, G Danielides, T Iliou, G Anastassopoulos, ...
International journal of pediatric otorhinolaryngology 89, 33-37, 2016
A novel machine learning data preprocessing method for enhancing classification algorithms performance
T Iliou, CN Anagnostopoulos, M Nerantzaki, G Anastassopoulos
Proceedings of the 16th International Conference on Engineering Applications …, 2015
A soft computing approach for osteoporosis risk factor estimation
D Mantzaris, G Anastassopoulos, L Iliadis, K Kazakos, H Papadopoulos
IFIP International Conference on Artificial Intelligence Applications and …, 2010
Unified medical data management on medical workstation
G Anastassopoulos, D Lymberopoulos, S Kotsopoulos, G Kokkinakis
MEDICON 92, 5-10, 1992
Symptomatology patterns in children with allergic rhinitis
M Katotomichelakis, T Iliou, I Karvelis, E Giotakis, G Danielides, ...
Medical science monitor: international medical journal of experimental and …, 2017
Color segmentation using self-organizing feature maps (sofms) defined upon color and spatial image space
IM Stephanakis, GC Anastassopoulos, LS Iliadis
International Conference on Artificial Neural Networks, 500-510, 2010
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