Ioannis D. Apostolopoulos

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Convolutional Neural Network

Magnetic Resonance

Coronary Artery

Top Venues

Mach. Learn. Knowl. Extr.

Publications

Ioannis D. Apostolopoulos, Silas Androulakis, Panayiotis Kalkavouras, George Fouskas, Spyros N. Pandis
Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning. Sensors 24 (13) (2024)
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)
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)
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) (2023)
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)
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)
Ioannis D. Apostolopoulos, Sokratis Aznaouridis, Mpesi Tzani
An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging. Inf. 14 (3) (2023)
Ioannis D. Apostolopoulos, Mpesiana Tzani
Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach. J. Ambient Intell. Humaniz. Comput. 14 (8) (2023)
Ioannis D. Apostolopoulos, Mpesi Tzani, Sokratis I. Aznaouridis
ChatGPT: ascertaining the self-evident. The use of AI in generating human knowledge. CoRR (2023)
Ioannis D. Apostolopoulos, Ifigeneia Athanasoula, Mpesi Tzani, Peter P. Groumpos
An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME. Mach. Learn. Knowl. Extr. 4 (4) (2022)
Ioannis D. Apostolopoulos, Besiana A. Tzani
Towards an Internet of Things application for the prognosis of Coronary Artery Disease using Machine Learning and Fuzzy Logic. IISA (2022)
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) (2022)
Ioannis D. Apostolopoulos, Dimitris J. Apostolopoulos, George S. Panayiotakis
Solitary Pulmonary Nodule malignancy classification utilising 3D features and semi-supervised Deep Learning. IISA (2022)
Ioannis D. Apostolopoulos, George Fouskas, Spyros N. Pandis
An IoT Integrated Air Quality Monitoring Device Based on Microcomputer Technology and Leading Industry Low-Cost Sensor Solutions. FABULOUS (2022)
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) (2022)
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) (2021)
Ioannis D. Apostolopoulos
Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating. CoRR (2020)
Ioannis D. Apostolopoulos, Peter P. Groumpos
Non-invasive modelling methodology for the diagnosis of Coronary Artery Disease using Fuzzy Cognitive Maps. CoRR (2020)
Ioannis D. Apostolopoulos, Tzani Bessiana
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks. CoRR (2020)
Ioannis D. Apostolopoulos, Mpesiana Tzani
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19. CoRR (2020)
Ioannis D. Apostolopoulos, Peter P. Groumpos, Dimitris I. Apostolopoulos
State Space Advanced Fuzzy Cognitive Map approach for automatic and non Invasive diagnosis of Coronary Artery Disease. CoRR (2020)