Dimitris J. Apostolopoulos

According to our database, Dimitris J. Apostolopoulos authored at least 9 papers between 2021 and 2023.

Collaborative distances:

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

2023

Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism.

Dimitris J. Apostolopoulos, Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Trifon Spyridonidis, George S. Panayiotakis

Algorithms, 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

Detection and Localisation of Abnormal Parathyroid Glands: An Explainable Deep Learning Approach.

Dimitris J. Apostolopoulos, Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Trifon Spyridonidis, George S. Panayiotakis

Algorithms, 2022

Solitary Pulmonary Nodule malignancy classification utilising 3D features and semi-supervised Deep Learning.

Ioannis D. Apostolopoulos, Dimitris J. Apostolopoulos, George S. Panayiotakis

Proceedings of the 13th International Conference on Information, 2022

2021

Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques.

Ioannis D. Apostolopoulos, Emmanuel G. Pintelas, Ioannis E. Livieris, Dimitris J. Apostolopoulos, Nikolaos D. Papathanasiou, Panagiotis E. Pintelas, George S. Panayiotakis

Medical Biol. Eng. Comput., 2021