Nikolaos I. Papandrianos

According to our database, Nikolaos I. Papandrianos authored at least 20 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness.

Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Eirini Christodolou, Elpiniki Papageorgiou, Dimitrios Tsaopoulos

Neural Comput. Appl., 2023

Explainable Classification for Non-Small Cell Lung Cancer Based on Positron Emission Tomography Features and Clinical Data.

Agorastos-Dimitrios Samaras, Ioannis D. Apostolopoulos, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos

Proceedings of the 14th International Conference on Information, 2023

Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging.

Anna Feleki, Ioannis D. Apostolopoulos, Elpiniki Papageorgiou, Serafeim P. Moustakidis, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Konstantinos Kokkinos, Nikolaos I. Papandrianos

Proceedings of the 14th International Conference on Information, 2023

Abnormal Parathyroid Gland Localization in Scintigraphic Images Using a Vision Transformer Network.

Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos

Proceedings of the 14th International Conference on Information, 2023

A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine.

Anna Feleki, Ioannis D. Apostolopoulos, Konstantinos Papageorgiou, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos

Proceedings of the Fuzzy Logic and Technology, and Aggregation Operators, 2023

2022

Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study.

Ioannis D. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos

Mach. Learn. Knowl. Extr., December, 2022

A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology.

Nikolaos I. Papandrianos, Anna Feleki, Serafeim P. Moustakidis, Elpiniki I. Papageorgiou

Proceedings of the 13th International Conference on Information, 2022

2021

Exploring Classification of SPECT MPI images applying convolutional neural networks.

Nikolaos I. Papandrianos, Anna Feleki, Elpiniki Papageorgiou

Proceedings of the PCI 2021: 25th Pan-Hellenic Conference on Informatics, Volos, Greece, November 26, 2021

Deep Learning for Bone Metastasis Localisation in Nuclear Imaging data of Breast Cancer Patients.

Serafeim P. Moustakidis, Athanasios Siouras, Nikolaos I. Papandrianos, Charis Ntakolia, Elpiniki Papageorgiou

Proceedings of the 12th International Conference on Information, 2021

2020

Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine.

Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Athanasios Anagnostis, Konstantinos Papageorgiou, Anna Feleki, Dionysis Bochtis

Proceedings of the 11th International Conference on Information, 2020

Exploring Brazilian Photovoltaic Solar Energy development scenarios using the Fuzzy Cognitive Map Wizard Tool.

Konstantinos Papageorgiou, Gustavo Carvalho, Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Márcio Mendonça, Georgios I. Stamoulis

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective.

Serafeim P. Moustakidis, Eirini Christodoulou, Elpiniki Papageorgiou, Christos Kokkotis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos

Quantum Mach. Intell., 2019

Exploring deep learning capabilities in knee osteoarthritis case study for classification.

Eirini Christodoulou, Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos, Elpiniki Papageorgiou

Proceedings of the 10th International Conference on Information, 2019

2018

Application of Fuzzy Cognitive Map for geospatial dengue outbreak risk prediction of tropical regions of Southern India.

L. S. Jayashree, R. Lakshmi Devi, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou

Intell. Decis. Technol., 2018

2015

An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps.

Jayashree Subramanian, Akila Karmegam, Elpiniki Papageorgiou, Nikolaos I. Papandrianos, A. Vasukie

Comput. Methods Programs Biomed., 2015

A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.

Elpiniki I. Papageorgiou, Jayashree Subramanian, Akila Karmegam, Nikolaos I. Papandrianos

Comput. Methods Programs Biomed., 2015

2009

Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections.

Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Georgia Karagianni, G. Kyriazopoulos, Dimitrios Sfyras

Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

A fuzzy cognitive map based tool for prediction of infectious diseases.

Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Georgia Karagianni, G. Kyriazopoulos, Dimitrios Sfyras

Proceedings of the FUZZ-IEEE 2009, 2009

2008

Fuzzy Cognitive Map based decision support system for thyroid diagnosis management.

Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Dimitrios Apostolopoulos, P. J. Vassilakos

Proceedings of the FUZZ-IEEE 2008, 2008

Complementary use of Fuzzy Decision Trees and Augmented Fuzzy Cognitive Maps for Decision Making in Medical Informatics.

Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Dimitrios Apostolopoulos, P. J. Vassilakos

Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008