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George C. Anastassopoulos

Observed names: Anastassopoulos G., Anastassopoulos George, G. Anastassopoulos, G.K. Anastassopoulos, George Anastasopoulos, George Anastassopoulos, George C Anastassopoulos, George K. Anastassopoulos, Georgios Anastassopoulos
Observed institutions: Democritus University of Thrace, United States Merchant Marine Academy, University of Patras, National and Kapodistrian University of Athens, Hellenic Open University, Golden Jubilee National Hospital, KAT General Hospital of Attica, Merchant Marine Academy, University Hospital of Alexandroupolis
ORCID: 0000-0001-6604-1110
Observed ORCID: 0000-0001-6604-1110
OpenAlex ID: A5031790745
Genetic algorithm pruning of probabilistic neural networks in medical disease estimation
2011 · Dimitrios Mantzaris, George Anastassopoulos, et al. · Neural Networks · 86
Osteoporosis Detection Using Machine Learning Techniques and Feature Selection
2014 · Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, et al. · International Journal of Artificial Intelligence Tools · 65
A Contextual Data Mining Approach Toward Assisting the Treatment of Anxiety Disorders
2010 · Theodor Chris Panagiotakopoulos, Dimitrios Panagiotis Lyras, et al. · IEEE Transactions on Information Technology in Biomedicine · 60
A Novel Machine Learning Data Preprocessing Method for Enhancing Classification Algorithms Performance
2015 · Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, et al. · International Conference on Engineering Applications of Neural Networks · 54
Medical disease prediction using Artificial Neural Networks
2008 · Dimitrios H. Mantzaris, George C. Anastassopoulos, et al. · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · 49
A novel data preprocessing method for boosting neural network performance: A case study in osteoporosis prediction
2015 · Theodoros Iliou, Christos-Nikolaos Anagnostopoulos, et al. · Information Sciences · 39
ILIOU machine learning preprocessing method for depression type prediction
2017 · Theodoros Iliou, Georgia Konstantopoulou, et al. · Evolving Systems · 37
Prognostic significance of CD95, P53, and BCL2 expression in extranodal non-Hodgkin’s lymphoma
2010 · Anastasios Chatzitolios, Ioannis Venizelos, et al. · Annals of Hematology · 35
Evaluation of modal damping factor as a diagnostic tool for osteoporosis and its relation with serum osteocalcin and collagen I N-telopeptide for monitoring the efficacy of alendronate in ovariectomized rats
2006 · G.E. Christopoulou, A. Stavropoulou, et al. · Journal of Pharmaceutical and Biomedical Analysis · 30
Allergic sensitization prevalence in a children and adolescent population of northeastern Greece region
2016 · Michael Katotomichelakis, Gerasimos Danielides, et al. · International Journal of Pediatric Otorhinolaryngology · 18
A non-symbolic implementation of abdominal pain estimation in childhood
2008 · Dimitrios Mantzaris, George Anastassopoulos, et al. · Information Sciences · 18
Classification of the most Significant Psychological Symptoms in Mental Patients with Depression using Bayesian Network
2015 · Dimitrios Galiatsatos, Georgia Konstantopoulou, et al. · International Conference on Engineering Applications of Neural Networks · 16
Vibrational bone characteristics versus bone density for the assessment of osteoporosis in ovariectomized rats
2009 · G. Anastassopoulos, S. Panteliou, et al. · Journal of Medical Engineering & Technology · 16
A User-Centered, Object-Oriented Methodology for Developing Health Information Systems: A Clinical Information System (CIS) Example
2010 · Georgios Konstantinidis, George C. Anastassopoulos, et al. · Journal of Medical Systems · 15
A Soft Computing Approach for Osteoporosis Risk Factor Estimation
2010 · Dimitrios Mantzaris, George Anastassopoulos, et al. · IFIP International Federation for Information Processing/IFIP · 15
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Symptomatology Patterns in Children with Allergic Rhinitis
2017 · Michael Katotomichelakis, Theodoros Iliou, et al. · Medical Science Monitor · 14
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Comparative Analysis of Conventional CNN v’s ImageNet Pretrained ResNet in Medical Image Classification
2024 · Christos Raptis, Efstratios Karavasilis, et al. · Information · 13
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Alteration in serum leptin correlates with alterations in serum N-telopeptide of collagen type I and serum osteocalcin during the progression of osteoporosis in ovariectomized rats
2005 · Anastasia Stavropoulou, Gina E. Christopoulou, et al. · Clinical Chemistry and Laboratory Medicine (CCLM) · 13
Eyelid basal cell carcinoma classification using shallow and deep learning artificial neural networks
2021 · Adam Adamopoulos, Evaggelos Georgios Chatzopoulos, et al. · Evolving Systems · 12
A Trust Model for Ubiquitous Healthcare Environment on the Basis of Adaptable Fuzzy-Probabilistic Inference System
2017 · Georgia Athanasiou, George C. Anastassopoulos, et al. · IEEE Journal of Biomedical and Health Informatics · 12
Machine Learning Preprocessing Method for Suicide Prediction
2016 · Theodoros Iliou, Georgia Konstantopoulou, et al. · IFIP advances in information and communication technology · 11
ELPIDA: a general architecture for medical imaging systems supporting telemedicine applications
1995 · Dimitris C. Lymberopoulos, Kostas V. Spiropoulos, et al. · Journal of Electronic Imaging · 8
The Effect of the Silicone Ring Tourniquet and Standard Pneumatic Tourniquet on the Motor Nerve Conduction, Pain and Grip Strength in Healthy Volunteers.
2016 · Georgios I Drosos, Georgios Kiziridis, et al. · PubMed · 7
Probabilistic Prediction for the Detection of Vesicoureteral Reflux
2013 · Harris Papadopoulos, George Anastassopoulos · Communications in computer and information science · 7
Application of Multiprotocol Medical Imaging Communications and an Extended DICOM WADO Service in a Teleradiology Architecture
2012 · George V. Koutelakis, George K. Anastassopoulos, et al. · International Journal of Telemedicine and Applications · 7
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Works count: 80
Citation count: 793
H-index: 15
I10-index: 21
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