Ioannis Apostolopoulos

Work

University Of Thessaly
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Postdoc Researcher | Deep Learning

Greece

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ICEHT-FORTH
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Postdoc Researcher | Sensors. Data Analytics, Deep Leaning

Greece

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Education

Panepistemio Patron
Greece

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Ph.D.

University of Patras
Greece

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Bachelor

Publications

A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features

Summary

working-paper

Monitoring of Indoor Air Quality in a Classroom Combining a Low-Cost Sensor System and Machine Learning

Published by

Chemosensors

Summary

journal-article

Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study

Published by

eClinicalMedicine

Summary

journal-article

A machine learning approach for determining solitary pulmonary nodule malignancy in patients undergoing PET/CT examination

Published by

Multimedia Tools and Applications

Summary

journal-article

Artificial Intelligence Approaches for Geographic Atrophy Segmentation: A Systematic Review and Meta-Analysis

Published by

Bioengineering

Summary

journal-article

Artificial Intelligence Approaches for Geographic Atrophy Segmentation: A Systematic Review and Meta-Analysis

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Bioengineering

Summary

journal-article

Monitoring of Indoor Air Quality in a Classroom Combining a Low-Cost Sensor System and Machine Learning

Published by

Chemosensors

Summary

journal-article

Neural-FCM: a deep learning approach for weight matrix optimization in Fuzzy Cognitive Map classifiers

Published by

Applied Intelligence

Summary

journal-article

A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination

Published by

Big Data and Cognitive Computing

Summary

journal-article

Multimodal Diagnosis using Deep Fuzzy Cognitive Map with Extreme Learning Machine Integrated into a Medical Decision Support System for Coronary Artery Disease and Non-Small Cell Lung Cancer Detection

Summary

conference-paper

Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis

Published by

Bioengineering

Summary

journal-article

Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis

Published by

Bioengineering

Summary

journal-article

Evaluation of Air Quality in a Primary School Classroom During Wintertime

Published by

Indoor Air

Summary

journal-article

A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination

Published by

Big Data and Cognitive Computing

Summary

journal-article

Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning

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Sensors

Summary

journal-article

Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning

Published by

Sensors

Summary

journal-article

Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening

Published by

Diseases

Summary

journal-article

Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening

Published by

Diseases

Summary

journal-article

Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study

Published by

Bioengineering

Summary

journal-article

Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study

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Bioengineering

Summary

journal-article

Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence

Published by

Applied Sciences

Summary

journal-article

Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence

Published by

Applied Sciences

Summary

journal-article

Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence

Published by

Applied Sciences

Summary

journal-article

Field Calibration of a Low-Cost Air Quality Monitoring Device in an Urban Background Site Using Machine Learning Models

Published by

Atmosphere

Summary

journal-article

Field Calibration of a Low-Cost Air Quality Monitoring Device in an Urban Background Site Using Machine Learning Models

Published by

Atmosphere

Summary

journal-article

Field Calibration of a Low-Cost Air Quality Monitoring Device in an Urban Background Site Using Machine Learning Models

Published by

Atmosphere

Summary

journal-article

Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies

Published by

EJNMMI Physics

Summary

journal-article

Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies

Published by

EJNMMI Physics

Summary

journal-article

AI-based classification algorithms in SPECT myocardial perfusion imaging for cardiovascular diagnosis: a review

Published by

Nuclear Medicine Communications

Summary

journal-article

A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine

Summary

book-chapter

Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System

Published by

Atmosphere

Summary

journal-article

Prediction of the Concentration and Source Contributions of PM<sub>2.5</sub> and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System

Published by

Atmosphere

Summary

journal-article

Explainable Deep Fuzzy Cognitive Map Diagnosis of Coronary Artery Disease: Integrating Myocardial Perfusion Imaging, Clinical Data, and Natural Language Insights

Published by

Applied Sciences

Summary

journal-article

Explainable Deep Fuzzy Cognitive Map Diagnosis of Coronary Artery Disease: Integrating Myocardial Perfusion Imaging, Clinical Data, and Natural Language Insights

Published by

Applied Sciences

Summary

journal-article

A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features

Published by

AI

Summary

journal-article

A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features

Published by

AI

Summary

journal-article

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

Published by

Algorithms

Summary

journal-article

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

Published by

Algorithms

Summary

journal-article

Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach

Published by

Journal of Ambient Intelligence and Humanized Computing

Summary

journal-article

Innovative Attention-Based Explainable Feature-Fusion VGG19 Network for Characterising Myocardial Perfusion Imaging SPECT Polar Maps in Patients with Suspected Coronary Artery Disease

Published by

Applied Sciences

Summary

journal-article

Innovative Attention-Based Explainable Feature-Fusion VGG19 Network for Characterising Myocardial Perfusion Imaging SPECT Polar Maps in Patients with Suspected Coronary Artery Disease

Published by

Applied Sciences

Summary

journal-article

A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features

Summary

preprint

Uncovering the Black Box of Coronary Artery Disease Diagnosis: The Significance of Explainability in Predictive Models

Published by

Applied Sciences

Summary

journal-article

Uncovering the Black Box of Coronary Artery Disease Diagnosis: The Significance of Explainability in Predictive Models

Published by

Applied Sciences

Summary

journal-article

Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach

Published by

Scientific Reports

Summary

journal-article

An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging

Published by

Information

Summary

journal-article

An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging

Published by

Information

Summary

journal-article

An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging

Published by

Information

Summary

journal-article

A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with <sup>99m</sup>Tc-Sestamibi

Published by

Diseases

Summary

journal-article

An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME

Published by

Machine Learning and Knowledge Extraction

Summary

journal-article

An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME

Published by

Machine Learning and Knowledge Extraction

Summary

journal-article

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

Published by

Algorithms

Summary

journal-article

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

Published by

Algorithms

Summary

journal-article

DEEP LEARNING FOR THE DETECTION AND LOCALIZATION OF ABNORMAL PARATHYROID GLANDS IN PATIENTS WITH HYPERPARATHYROIDISM

Published by

Physica Medica

Summary

journal-article

DEEP LEARNING FOR THE DETECTION AND LOCALIZATION OF ABNORMAL PARATHYROID GLANDS IN PATIENTS WITH HYPERPARATHYROIDISM

Published by

Physica Medica

Summary

journal-article

Deep Learning Assessment for Mining Important Medical Image Features of Various Modalities

Published by

Diagnostics

Summary

journal-article

Deep Learning Assessment for Mining Important Medical Image Features of Various Modalities

Published by

Diagnostics

Summary

journal-article

Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study

Published by

Machine Learning and Knowledge Extraction

Summary

journal-article

Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study

Published by

Machine Learning and Knowledge Extraction

Summary

journal-article

Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review

Published by

European Journal of Nuclear Medicine and Molecular Imaging

Summary

journal-article

Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease

Published by

Annals of Nuclear Medicine

Summary

journal-article

A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with 99mTc-Sestamibi

Published by

Diseases

Summary

journal-article

An Explainable Classification Method of SPECT Myocardial Perfusion Images in Nuclear Cardiology Using Deep Learning and Grad-CAM

Published by

Applied Sciences

Summary

journal-article

An Explainable Classification Method of SPECT Myocardial Perfusion Images in Nuclear Cardiology Using Deep Learning and Grad-CAM

Published by

Applied Sciences

Summary

journal-article

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

Published by

2022 13th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)

Summary

conference-paper

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

Published by

2022 13th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)

Summary

conference-paper

Towards an Internet of Things application for the prognosis of Coronary Artery Disease using Machine Learning and Fuzzy Logic

Published by

2022 13th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)

Summary

conference-paper

Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection: Investigation of Explainability and Feature Reproducibility

Published by

Reports

Summary

journal-article

Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection: Investigation of Explainability and Feature Reproducibility

Published by

Reports

Summary

journal-article

An IoT Integrated Air Quality Monitoring Device Based on Microcomputer Technology and Leading Industry Low-Cost Sensor Solutions

Published by

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Summary

book-chapter

Modeling the spread of dangerous pandemics with the utilization of a hybrid-statistical–Advanced-Fuzzy-Cognitive-Map algorithm: the example of COVID-19

Published by

Research on Biomedical Engineering

Summary

journal-article

Advanced fuzzy cognitive maps: state-space and rule-based methodology for coronary artery disease detection

Published by

Biomedical Physics & Engineering Express

Summary

journal-article

3D REPRESENTATIONS OF SOLITARY PULMONARY NODULES IMPROVES THE EFFICIENCY OF DEEP LEARNING IN CHARACTERISATION OF NODULE MALIGNANCY

Published by

15th Panhellenic Congress of Nuclear Medicine

Summary

conference-paper

ADVANCED DATA AUGMENTATION UTILISING GENERATIVE ADVERSARIAL NETWORKS: SYNTHESISATION OF SOLITARY PULMONARY NODULES TO INCREASE THE LEARNING EFFICIENCY OF DEEP NETWORKS

Published by

15th Panhellenic Congress of Nuclear Medicine

Summary

conference-paper

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

Published by

Medical & Biological Engineering & Computing

Summary

journal-article

CORONARY ARTERY DISEASE DIAGNOSIS USING MYOCARDIAL PERFUSION IMAGING POLAR MAPS AND DEEP LEARNING METHODS

Published by

15th Panhellenic Congress of Nuclear Medicine

Summary

conference-paper

Classification of lung nodule malignancy in computed tomography imaging utilising generative adversarial networks and semi-supervised transfer learning

Published by

Biocybernetics and Biomedical Engineering

Summary

journal-article

Multi-input deep learning approach for Cardiovascular Disease diagnosis using Myocardial Perfusion Imaging and clinical data

Published by

Physica Medica

Summary

journal-article

Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps

Published by

Computer Methods in Biomechanics and Biomedical Engineering

Summary

journal-article

Non-invasive modelling methodology for the diagnosis of Coronary Artery Disease using Fuzzy Cognitive Maps

Published by

Computer Methods in Biomechanics and Biomedical Engineering

Summary

journal-article

Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps

Published by

Computer Methods in Biomechanics and Biomedical Engineering

Summary

journal-article

Non-invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps

Published by

Computer Methods in Biomechanics and Biomedical Engineering

Summary

journal-article

Automatic characterization of myocardial perfusion imaging polar maps employing deep learning and data augmentation.

Published by

Hellenic journal of nuclear medicine

Summary

journal-article

Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases

Published by

Journal of Medical and Biological Engineering

Summary

journal-article

Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases

Published by

Journal of Medical and Biological Engineering

Summary

journal-article

Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases

Published by

Journal of Medical and Biological Engineering

Summary

journal-article

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Published by

Physical and Engineering Sciences in Medicine

Summary

journal-article

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Published by

Physical and Engineering Sciences in Medicine

Summary

journal-article

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks

Published by

Physical and Engineering Sciences in Medicine 2020

Summary

preprint

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Published by

Physical and Engineering Sciences in Medicine

Summary

journal-article

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Published by

Physical and Engineering Sciences in Medicine

Summary

journal-article

Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating

Published by

ArXiv

Summary

journal-article

Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating

Summary

preprint

Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19

Published by

ArXiv

Summary

journal-article

Investigating the Synthetic Minority class Oversampling Technique (SMOTE) on an imbalanced cardiovascular disease (CVD) dataset

Published by

arXiv

Summary

preprint

State Space Advanced Fuzzy Cognitive Map approach for automatic and non Invasive diagnosis of Coronary Artery Disease

Published by

ArXiv

Summary

journal-article

A medical decision support system for the prediction of the coronary artery disease using fuzzy cognitive maps

Published by

Communications in Computer and Information Science

Summary

book

A Medical Decision Support System for the Prediction of the Coronary Artery Disease Using Fuzzy Cognitive Maps

Published by

Communications in Computer and Information Science

Summary

journal-article