G Anastassopoulos
G Anastassopoulos
Professor of Informatics, Democritus University of Thrace
Bestätigte E-Mail-Adresse bei med.duth.gr
Titel
Zitiert von
Zitiert von
Jahr
Genetic algorithm pruning of probabilistic neural networks in medical disease estimation
D Mantzaris, G Anastassopoulos, A Adamopoulos
Neural Networks 24 (8), 831-835, 2011
832011
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
552010
JPEG2000 ROI coding in medical imaging applications
GK Anastassopoulos, A Skodras
Proc. 2nd IASTED Int. Conf. on Visualisation, Imaging and Image Processing …, 2002
542002
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
502008
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
322010
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
242017
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
222012
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
212014
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
212008
Intelligent prediction of vesicoureteral reflux disease
DH Mantzaris, GC Anastassopoulos, AD Tsalkidis, AV Adamopoulos
WSEAS Transactions on Systems 4 (9), 1440-1449, 2005
182005
A new SCP-ECG module for telemedicine services
G Mandellos, M Koukias, G Anastassopoulos, D Lymperopoulos
Interchange 6, 7, 2004
122004
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
112015
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
112003
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
111995
ILIOU machine learning preprocessing method for depression type prediction
T Iliou, G Konstantopoulou, M Ntekouli, C Lymperopoulou, ...
Evolving Systems 10 (1), 29-39, 2019
102019
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
102016
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
92010
Unified medical data management on medical workstation
G Anastassopoulos, D Lymberopoulos, S Kotsopoulos, G Kokkinakis
MEDICON 92, 5-10, 1992
91992
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
82017
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
82010
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