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ORCIDDimitris J. Apostolopoulos
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2020 – today
- 2024
[j5]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
- [j4]Dimitris J. Apostolopoulos, Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Trifon Spyridonidis, George S. Panayiotakis:
Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism. Algorithms 16(9): 435 (2023) - [c7]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 - [c6]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 - [c5]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 - [c4]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
- [j3]Dimitris J. Apostolopoulos, Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Trifon Spyridonidis, George S. Panayiotakis:
Detection and Localisation of Abnormal Parathyroid Glands: An Explainable Deep Learning Approach. Algorithms 15(12): 455 (2022) - [j2]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) - [c3]Ioannis D. Apostolopoulos, Dimitris J. Apostolopoulos, George S. Panayiotakis:
Solitary Pulmonary Nodule malignancy classification utilising 3D features and semi-supervised Deep Learning. IISA 2022: 1-6 - 2021
- [j1]Ioannis D. Apostolopoulos, Emmanuel G. Pintelas, Ioannis E. Livieris, Dimitris J. Apostolopoulos, Nikolaos D. Papathanasiou, Panagiotis E. Pintelas, George S. Panayiotakis:
Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques. Medical Biol. Eng. Comput. 59(6): 1299-1310 (2021) - 2020
- [i1]Ioannis D. Apostolopoulos, Peter P. Groumpos, Dimitris J. Apostolopoulos:
State Space Advanced Fuzzy Cognitive Map approach for automatic and non Invasive diagnosis of Coronary Artery Disease. CoRR abs/2004.03372 (2020)
2000 – 2009
- 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
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