Dimitris J. Apostolopoulos
According to our database1,
Dimitris J. Apostolopoulos
authored at least 13 papers
between 2008 and 2024.
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Bibliography
2024
A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination.
Big Data Cogn. Comput., August, 2024
2023
Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism.
Algorithms, 2023
Explainable Classification for Non-Small Cell Lung Cancer Based on Positron Emission Tomography Features and Clinical Data.
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.
Proceedings of the 14th International Conference on Information, 2023
Abnormal Parathyroid Gland Localization in Scintigraphic Images Using a Vision Transformer Network.
Proceedings of the 14th International Conference on Information, 2023
A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine.
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.
Mach. Learn. Knowl. Extr., December, 2022
Detection and Localisation of Abnormal Parathyroid Glands: An Explainable Deep Learning Approach.
Algorithms, 2022
Solitary Pulmonary Nodule malignancy classification utilising 3D features and semi-supervised Deep Learning.
Proceedings of the 13th International Conference on Information, 2022
2021
Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques.
Medical Biol. Eng. Comput., 2021
2020
State Space Advanced Fuzzy Cognitive Map approach for automatic and non Invasive diagnosis of Coronary Artery Disease.
CoRR, 2020
2008
Proceedings of the FUZZ-IEEE 2008, 2008
Complementary use of Fuzzy Decision Trees and Augmented Fuzzy Cognitive Maps for Decision Making in Medical Informatics.
Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008