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ORCIDNikolaos I. Papandrianos
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2020 – today
- 2024
[j7]Ioannis D. Apostolopoulos
, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou:
A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination. Big Data Cogn. Comput. 8(8): 85 (2024)- 2023
- [j6]Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Eirini Christodolou, Elpiniki Papageorgiou, Dimitrios Tsaopoulos:
Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness. Neural Comput. Appl. 35(1): 21-33 (2023) - [c14]Anna Feleki, Ioannis D. Apostolopoulos, Konstantinos Papageorgiou, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos:
A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine. EUSFLAT/AGOP 2023: 14-25 - [c13]Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos:
Abnormal Parathyroid Gland Localization in Scintigraphic Images Using a Vision Transformer Network. IISA 2023: 1-8 - [c12]Anna Feleki, Ioannis D. Apostolopoulos, Elpiniki Papageorgiou, Serafeim P. Moustakidis, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Konstantinos Kokkinos, Nikolaos I. Papandrianos:
Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging. IISA 2023: 1-6 - [c11]Agorastos-Dimitrios Samaras, Ioannis D. Apostolopoulos, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos:
Explainable Classification for Non-Small Cell Lung Cancer Based on Positron Emission Tomography Features and Clinical Data. IISA 2023: 1-8 - 2022
- [j5]Ioannis D. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos:
Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study. Mach. Learn. Knowl. Extr. 4(4): 814-826 (2022) - [c10]Nikolaos I. Papandrianos, Anna Feleki, Serafeim P. Moustakidis, Elpiniki I. Papageorgiou:
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology. IISA 2022: 1-7 - 2021
- [c9]Serafeim P. Moustakidis, Athanasios Siouras, Nikolaos I. Papandrianos, Charis Ntakolia, Elpiniki Papageorgiou:
Deep Learning for Bone Metastasis Localisation in Nuclear Imaging data of Breast Cancer Patients. IISA 2021: 1-8 - [c8]Nikolaos I. Papandrianos, Anna Feleki, Elpiniki Papageorgiou:
Exploring Classification of SPECT MPI images applying convolutional neural networks. PCI 2021: 483-489 - 2020
- [c7]Konstantinos Papageorgiou, Gustavo Carvalho, Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Márcio Mendonça, Georgios I. Stamoulis:
Exploring Brazilian Photovoltaic Solar Energy development scenarios using the Fuzzy Cognitive Map Wizard Tool. FUZZ-IEEE 2020: 1-8 - [c6]Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Athanasios Anagnostis, Konstantinos Papageorgiou, Anna Feleki, Dionysis Bochtis:
Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine. IISA 2020: 1-8
2010 – 2019
- 2019
- [j4]Serafeim P. Moustakidis, Eirini Christodoulou, Elpiniki Papageorgiou, Christos Kokkotis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos:
Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective. Quantum Mach. Intell. 1(3-4): 73-86 (2019) - [c5]Eirini Christodoulou, Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos, Elpiniki Papageorgiou:
Exploring deep learning capabilities in knee osteoarthritis case study for classification. IISA 2019: 1-6 - 2018
- [j3]L. S. Jayashree, R. Lakshmi Devi, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou:
Application of Fuzzy Cognitive Map for geospatial dengue outbreak risk prediction of tropical regions of Southern India. Intell. Decis. Technol. 12(2): 231-250 (2018) - 2015
- [j2]Jayashree Subramanian, Akila Karmegam, Elpiniki Papageorgiou, Nikolaos I. Papandrianos, A. Vasukie:
An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps. Comput. Methods Programs Biomed. 118(3): 280-297 (2015) - [j1]Elpiniki I. Papageorgiou, Jayashree Subramanian, Akila Karmegam, Nikolaos I. Papandrianos:
A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method. Comput. Methods Programs Biomed. 122(2): 123-135 (2015)
2000 – 2009
- 2009
- [c4]Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Georgia Karagianni, G. Kyriazopoulos, Dimitrios Sfyras:
A fuzzy cognitive map based tool for prediction of infectious diseases. FUZZ-IEEE 2009: 2094-2099 - [c3]Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Georgia Karagianni, G. Kyriazopoulos, Dimitrios Sfyras:
Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections. ISMIS 2009: 109-118 - 2008
- [c2]Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Dimitrios J. Apostolopoulos, P. J. Vassilakos:
Complementary use of Fuzzy Decision Trees and Augmented Fuzzy Cognitive Maps for Decision Making in Medical Informatics. BMEI (1) 2008: 888-892 - [c1]Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos, Dimitrios J. Apostolopoulos, P. J. Vassilakos:
Fuzzy Cognitive Map based decision support system for thyroid diagnosis management. FUZZ-IEEE 2008: 1204-1211
Coauthor Index
aka: Dimitrios J. Apostolopoulos
aka: Elpiniki Papageorgiou
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