Nikolaos I. Papandrianos

26 papers B 3C 1Journal 9Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explainable YOLOv8 model for solitary pulmonary nodules classification using positron emission tomography and computed tomography scans.
J. Intell. Syst.
Agorastos-Dimitrios Samaras, Serafeim P. Moustakidis, Ioannis D. Apostolopoulos, Elpiniki Papageorgiou, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos
2025 J jnl
A machine learning approach for determining solitary pulmonary nodule malignancy in patients undergoing PET/CT examination.
Multim. Tools Appl.
Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos
2025 — conf
Feature Engineering with Large Language Models Improves Solitary Pulmonary Nodule Malignancy Classification with Machine Learning.
IISA
Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou
2024 J jnl
A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination.
Big Data Cogn. Comput.
Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou
2024 — conf
Medical Decision Support System in Nuclear Medicine Diagnosis for Non-Small Cell Lung Cancer and Coronary Artery Disease: A First Stage Prototype.
IISA
Agorastos-Dimitrios Samaras, Anna Feleki, Ioannis D. Apostolopoulos, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Konstantinos Kokkinos, Nikolaos I. Papandrianos
2024 — conf
Multimodal Diagnosis using Deep Fuzzy Cognitive Map with Extreme Learning Machine Integrated into a Medical Decision Support System for Coronary Artery Disease and Non-Small Cell Lung Cancer Detection.
PCI
Elpiniki Papageorgiou, Anna Feleki, Nikolaos I. Papandrianos, Ioannis D. Apostolopoulos, Konstantinos Papageorgiou, Nikolaos D. Papathanasiou, Dimitrios J. Apostolopoulos
2023 — conf
A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine.
EUSFLAT/AGOP
Anna Feleki, Ioannis D. Apostolopoulos, Konstantinos Papageorgiou, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos
2023 — conf
Abnormal Parathyroid Gland Localization in Scintigraphic Images Using a Vision Transformer Network.
IISA
Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos
2023 — conf
Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging.
IISA
Anna Feleki, Ioannis D. Apostolopoulos, Elpiniki Papageorgiou, Serafeim P. Moustakidis, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Konstantinos Kokkinos, Nikolaos I. Papandrianos
2023 J jnl
Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness.
Neural Comput. Appl.
Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Eirini Christodolou, Elpiniki Papageorgiou, Dimitrios Tsaopoulos
2023 — conf
Explainable Classification for Non-Small Cell Lung Cancer Based on Positron Emission Tomography Features and Clinical Data.
IISA
Agorastos-Dimitrios Samaras, Ioannis D. Apostolopoulos, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos
2022 — conf
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology.
IISA
Nikolaos I. Papandrianos, Anna Feleki, Serafeim P. Moustakidis, Elpiniki I. Papageorgiou
2022 J jnl
Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study.
Mach. Learn. Knowl. Extr.
Ioannis D. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos
2021 — conf
Deep Learning for Bone Metastasis Localisation in Nuclear Imaging data of Breast Cancer Patients.
IISA
Serafeim P. Moustakidis, Athanasios Siouras, Nikolaos I. Papandrianos, Charis Ntakolia, Elpiniki Papageorgiou
2021 — conf
Exploring Classification of SPECT MPI images applying convolutional neural networks.
PCI
Nikolaos I. Papandrianos, Anna Feleki, Elpiniki Papageorgiou
2020 — conf
Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine.
IISA
Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Athanasios Anagnostis, Konstantinos Papageorgiou, Anna Feleki, Dionysis Bochtis
2020 B conf
Exploring Brazilian Photovoltaic Solar Energy development scenarios using the Fuzzy Cognitive Map Wizard Tool.
FUZZ-IEEE
Konstantinos Papageorgiou, Gustavo Carvalho, Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Márcio Mendonça, Georgios I. Stamoulis
2019 J jnl
Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective.
Quantum Mach. Intell.
Serafeim P. Moustakidis, Eirini Christodoulou, Elpiniki Papageorgiou, Christos Kokkotis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos
2019 — conf
Exploring deep learning capabilities in knee osteoarthritis case study for classification.
IISA
Eirini Christodoulou, Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos, Elpiniki Papageorgiou
2018 J jnl
Application of Fuzzy Cognitive Map for geospatial dengue outbreak risk prediction of tropical regions of Southern India.
Intell. Decis. Technol.
L. S. Jayashree, R. Lakshmi Devi, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou
2015 J jnl
A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.
Comput. Methods Programs Biomed.
Elpiniki I. Papageorgiou, Jayashree Subramanian, Akila Karmegam, Nikolaos I. Papandrianos
2015 J jnl
An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps.
Comput. Methods Programs Biomed.
Jayashree Subramanian, Akila Karmegam, Elpiniki Papageorgiou, Nikolaos I. Papandrianos, A. Vasukie
2009 B conf
A fuzzy cognitive map based tool for prediction of infectious diseases.
FUZZ-IEEE
Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Georgia Karagianni, G. Kyriazopoulos, Dimitrios Sfyras
2009 C conf
Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections.
ISMIS
Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Georgia Karagianni, G. Kyriazopoulos, Dimitrios Sfyras
2008 — conf
Complementary use of Fuzzy Decision Trees and Augmented Fuzzy Cognitive Maps for Decision Making in Medical Informatics.
BMEI (1)
Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Dimitrios J. Apostolopoulos, P. J. Vassilakos
2008 B conf
Fuzzy Cognitive Map based decision support system for thyroid diagnosis management.
FUZZ-IEEE
Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Dimitrios J. Apostolopoulos, P. J. Vassilakos