A prototype user interface for medical multimedia application. - Stavros A. Kotsopoulos; C. Spiropoulos; Dimitris K. Lymberopoulos; George C. Anastassopoulos; Giannis Garantziotis (CBMS, 1994)

An homogeneous medical tele-working domain supported by a new remote expert consultation conferencing service. - Dimitris K. Lymberopoulos; George C. Anastassopoulos; Minas Karatzoglou; George Kokkinakis (Eur. Trans. Telecommun., 1994)

ELPIDA: a general architecture for medical imaging systems supporting telemedicine applications. - Dimitris K. Lymberopoulos; Kostas V. Spiropoulos; George C. Anastassopoulos; Stavros A. Kotsopoulos; Katerina G. Solomou (J. Electronic Imaging, 1995)

Application of JPEG 2000 compression in medical database image data. - George K. Anastassopoulos; Aggelos D. Tsalkidis; Ioannis M. Stephanakis; George J. Mandellos; Konstantinos Simopoulos (DSP, 2002)

Multiresolution autoregressive filtering for pneumonia detection in medical images. - Ioannis M. Stephanakis; George K. Anastassopoulos; Aggelos D. Tsalkidis (DSP, 2002)

Medical disease prediction using Artificial Neural Networks. - Dimitrios H. Mantzaris; George C. Anastassopoulos; Dimitrios K. Lymberopoulos (BIBE, 2008)

A non-symbolic implementation of abdominal pain estimation in childhood. - Dimitrios H. Mantzaris; George C. Anastassopoulos; Adam V. Adamopoulos; Stefanos Gardikis (Inf. Sci., 2008)

Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making. - Adam V. Adamopoulos; Mirto Ntasi; Seferina Mavroudi; Spiros Likothanassis; Lazaros S. Iliadis; George C. Anastassopoulos (EANN, 2009)

An Evolutionary Technique for Medical Diagnostic Risk Factors Selection. - Dimitrios H. Mantzaris; George C. Anastassopoulos; Lazaros S. Iliadis; Adam V. Adamopoulos (AIAI, 2009)

Intelligent hybrid modelling towards the prognosis of abdominal pain. - George C. Anastassopoulos; Lazaros S. Iliadis (Int. J. Hybrid Intell. Syst., 2009)

A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux's Diagnostic Factors Validity. - Dimitrios H. Mantzaris; George C. Anastassopoulos; Lazaros S. Iliadis; Aggelos D. Tsalkidis; Adam V. Adamopoulos (ICANN (1), 2010)

Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space. - Ioannis M. Stephanakis; George C. Anastassopoulos; Lazaros S. Iliadis (ICANN (1), 2010)

A Soft Computing Approach for Osteoporosis Risk Factor Estimation. - Dimitrios H. Mantzaris; George C. Anastassopoulos; Lazaros S. Iliadis; Konstantinos Kazakos; Harris Papadopoulos (AIAI, 2010)

A contextual data mining approach toward assisting the treatment of anxiety disorders. - Theodor Chris Panagiotakopoulos; Dimitrios P. Lyras; Miltos Livaditis; Kyriakos N. Sgarbas; George C. Anastassopoulos; Dimitrios K. Lymberopoulos (IEEE Trans. Inf. Technol. Biomed., 2010)

A Window-Based Self-Organizing Feature Map (SOFM) for Vector Filtering Segmentation of Color Medical Imagery. - Ioannis M. Stephanakis; George C. Anastassopoulos; Lazaros S. Iliadis (EANN, 2011)

Genetic algorithm pruning of probabilistic neural networks in medical disease estimation. - Dimitrios H. Mantzaris; George C. Anastassopoulos; Adam V. Adamopoulos (Neural Networks, 2011)

Scalable Object Encoding Using Multiplicative Multilinear Inter-camera Prediction in the Context of Free View 3D Video. - Ioannis M. Stephanakis; George C. Anastassopoulos (AIAI (1), 2012)

A User-Centered, Object-Oriented Methodology for Developing Health Information Systems: A Clinical Information System (CIS) Example. - Georgios Konstantinidis 002; George C. Anastassopoulos; Alexandros S. Karakos; Emmanouil Anagnostou; Vasileios Danielides (J. Medical Syst., 2012)

Combined Classification of Risk Factors for Appendicitis Prediction in Childhood. - Theodoros Iliou 001; Christos-Nikolaos Anagnostopoulos; Ioannis M. Stephanakis; George C. Anastassopoulos (EANN (2), 2013)

Probabilistic Prediction for the Detection of Vesicoureteral Reflux. - Harris Papadopoulos; George C. Anastassopoulos (EANN (1), 2013)

Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms. - George C. Anastassopoulos; Adam V. Adamopoulos; Dimitrios Galiatsatos; Georgios Drosos (ICIMTH, 2013)

Diagnostic Feature Extraction on Osteoporosis Clinical Data Using Genetic Algorithms. - George C. Anastassopoulos; Adam V. Adamopoulos; Georgios Drosos; Konstantinos Kazakos; Harris Papadopoulos (AIAI, 2013)

A Novel Rate-Distortion Method in 3D Video Capturing in the Context of High Efficiency Video Coding (HEVC) in Intelligent Communications. - Ioannis M. Stephanakis; Ioannis P. Chochliouros; Anastasios Dagiuklas; George C. Anastassopoulos (AIAI, 2013)

A Self-Organizing Feature Map (SOFM) model based on aggregate-ordering of local color vectors according to block similarity measures. - Ioannis M. Stephanakis; George C. Anastassopoulos; Lazaros S. Iliadis (Neurocomputing, 2013)

Prediction of 30-Day Mortality after a Hip Fracture Surgery Using Neural and Bayesian Networks. - Dimitrios Galiatsatos; George C. Anastassopoulos; Georgios Drosos; Athanasios Ververidis; Konstantinos Tilkeridis; Konstantinos Kazakos (AIAI, 2014)

Osteoporosis Detection Using Machine Learning Techniques and Feature Selection. - Theodoros Iliou 001; Christos-Nikolaos Anagnostopoulos; George C. Anastassopoulos (Int. J. Artif. Intell. Tools, 2014)

Classification of the most Significant Psychological Symptoms in Mental Patients with Depression using Bayesian Network. - Dimitrios Galiatsatos; Georgia Konstantopoulou; George C. Anastassopoulos; Marina Nerantzaki; Konstantinos Assimakopoulos; Dimitrios K. Lymberopoulos (EANN Workshops, 2015)

A Novel Machine Learning Data Preprocessing Method for Enhancing Classification Algorithms Performance. - Theodoros Iliou 001; Christos-Nikolaos Anagnostopoulos; Marina Nerantzaki; George C. Anastassopoulos (EANN Workshops, 2015)

Optimizing voting classification using cluster analysis on medical diagnosis data. - Androniki Tamvakis; Christos-Nikolaos Anagnostopoulos; George E. Tsekouras; George C. Anastassopoulos (EANN Workshops, 2015)

Structural properties and interaction energies affecting drug design. An approach combining molecular simulations, statistics, interaction energies and neural networks. - Dimitris Ioannidis; Georgios E. Papadopoulos; Georgios C. Anastassopoulos; Alexandros Kortsaris; Konstantinos P. Anagnostopoulos (Comput. Biol. Chem., 2015)

Vesicoureteral reflux detection with reliable probabilistic outputs. - Harris Papadopoulos; George C. Anastassopoulos (Inf. Sci., 2015)

Machine Learning Preprocessing Method for Suicide Prediction. - Theodoros Iliou 001; Georgia Konstantopoulou; Mandani Ntekouli; Dimitrios K. Lymberopoulos; Konstantinos Assimakopoulos; Dimitrios Galiatsatos; George C. Anastassopoulos (AIAI, 2016)

An Implementation of a Decision-Making Algorithm Based on a Novel Health Status Transition Model of Epilepsy. - Mandani Ntekouli; Maria Marouli; Georgia Konstantopoulou; George C. Anastassopoulos; Dimitrios Lymperopoulos (AIAI, 2016)

Information Feature Selection: Using Local Attribute Selections to Represent Connected Distributions in Complex Datasets. - Ioannis M. Stephanakis; Theodoros Iliou 001; George C. Anastassopoulos (EANN, 2017)

A methodology to carry out voting classification tasks using a particle swarm optimization-based neuro-fuzzy competitive learning network. - Androniki Tamvakis; George E. Tsekouras; Anastasios Rigos; Christos Kalloniatis; Christos-Nikolaos Anagnostopoulos; George C. Anastassopoulos (Evol. Syst., 2017)

A novel data preprocessing method for boosting neural network performance: A case study in osteoporosis prediction. - Theodoros Iliou 001; Christos-Nikolaos Anagnostopoulos; Ioannis M. Stephanakis; George C. Anastassopoulos (Inf. Sci., 2017)

Iliou Machine Learning Data Preprocessing Method for Stress Level Prediction. - Theodoros Iliou 001; Georgia Konstantopoulou; Ioannis M. Stephanakis; Konstantinos Anastasopoulos; Dimitrios K. Lymberopoulos; George C. Anastassopoulos (AIAI, 2018)

A mapping of epilepsy's evolution: implementation of the proposed knowledge based model. - Mandani Ntekouli; Maria Marouli; Georgia Konstantopoulou; George C. Anastassopoulos; Dimitrios K. Lymberopoulos; Panagiotis Polychronopoulos; John Ellul (Evol. Syst., 2018)

A Trust Model for Ubiquitous Healthcare Environment on the Basis of Adaptable Fuzzy-Probabilistic Inference System. - Georgia N. Athanasiou; George C. Anastassopoulos; Eleni Tiritidou; Dimitrios K. Lymberopoulos (IEEE J. Biomed. Health Informatics, 2018)

Iliou Machine Learning Data Preprocessing Method for Suicide Prediction from Family History. - Theodoros Iliou 001; Georgia Konstantopoulou; Christina Lymperopoulou; Konstantinos Anastasopoulos; George C. Anastassopoulos; Dimitrios Margounakis; Dimitrios K. Lymberopoulos (AIAI, 2019)

ILIOU machine learning preprocessing method for depression type prediction. - Theodoros Iliou 001; Georgia Konstantopoulou; Mandani Ntekouli; Christina Lymperopoulou; Konstantinos Assimakopoulos; Dimitrios Galiatsatos; George C. Anastassopoulos (Evol. Syst., 2019)

Classification of Psychosomatic's Symptoms of Depression: Iliou Versus PCA Preprocessing Methods. - Theodoros Iliou 001; Georgia Konstantopoulou; Konstantinos Anastasopoulos; Christina Lymperopoulou; Georgios Mantas; Jonathan Rodriguez 001; Dimitrios K. Lymberopoulos; George C. Anastassopoulos (CAMAD, 2020)

Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks. - Evagelos Georgios Chatzopoulos; George C. Anastassopoulos; Efstathios Detorakis; Adam V. Adamopoulos (EANN, 2020)

Mutual information algorithms for optimal attribute selection in data driven partitions of databases. - Ioannis M. Stephanakis; Theodoros Iliou 001; George C. Anastassopoulos (Evol. Syst., 2020)

Eyelid basal cell carcinoma classification using shallow and deep learning artificial neural networks. - Adam V. Adamopoulos; Evaggelos Georgios Chatzopoulos; George C. Anastassopoulos; Efstathios Detorakis (Evol. Syst., 2021)

Subsampled Dataset Challenges and Machine Learning Techniques in Table Tennis. - Dimitrios Simopoulos; Andreas Nikolakakis; George C. Anastassopoulos (EANN, 2023)

Advanced Mortality Prediction in Adult ICU: Introducing a Deep Learning Approach in Healthcare. - Dimitrios Simopoulos; Dimitrios Kosmidis; Sotiria Koutsouki; Nicolas Bonnotte; George C. Anastassopoulos (AIAI (1), 2024)