Serafeim P. Moustakidis
Orcid: 0000-0002-1090-2177
According to our database1,
Serafeim P. Moustakidis
authored at least 42 papers
between 2008 and 2025.
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Bibliography
2025
Knee-cartilage segmentation from MR images using Multi-view Hypergraph Convolutional Neural Networks.
Appl. Intell., August, 2025
2024
A Multi-View Semi-supervised learning method for knee joint cartilage segmentation combining multiple feature descriptors and image modalities.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., December, 2024
Hybrid object detection methodology combining altitude-dependent local deep learning models for search and rescue operations.
J. Control. Decis., July, 2024
Machine Learning Algorithms for the Prediction of Language and Cognition Rehabilitation Outcomes of Post-stroke Patients: A Scoping Review.
Hum. Centric Intell. Syst., March, 2024
Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis.
Comput. Medical Imaging Graph., 2024
Medical Decision Support System in Nuclear Medicine Diagnosis for Non-Small Cell Lung Cancer and Coronary Artery Disease: A First Stage Prototype.
Proceedings of the 15th International Conference on Information, 2024
2023
Predicting Football Team Performance with Explainable AI: Leveraging SHAP to Identify Key Team-Level Performance Metrics.
Future Internet, May, 2023
Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness.
Neural Comput. Appl., 2023
Innovative Visualization Approach for Biomechanical Time Series in Stroke Diagnosis Using Explainable Machine Learning Methods: A Proof-of-Concept Study.
Inf., 2023
Expert Syst. Appl., 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
Embracing uncertainty flexibility: harnessing a supervised tree kernel to empower ensemble modelling for 2D echocardiography-based prediction of right ventricular volume.
Proceedings of the Sixteenth International Conference on Machine Vision, 2023
Towards Explainable AI Validation in Industry 4.0: A Fuzzy Cognitive Map-based Evaluation Framework for Assessing Business Value.
Proceedings of the IEEE International Conference on Engineering, Technology and Innovation, 2023
Right Ventricular Volume Prediction by Feature Tokenizer Transformer-Based Regression of 2D Echocardiography Small-Scale Tabular Data.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
2022
A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation.
Comput. Methods Programs Biomed., 2022
Algorithms, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Automated Recognition of healthy Anterior Cruciate Ligament in Sagittal MR images using Lightweight Deep Learning.
Proceedings of the 13th International Conference on Information, 2022
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology.
Proceedings of the 13th International Conference on Information, 2022
2021
An Explainable Machine Learning Model for Material Backorder Prediction in Inventory Management.
Sensors, 2021
Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients.
Int. J. Medical Informatics, 2021
CoRR, 2021
An explainable machine learning pipeline for backorder prediction in inventory management systems.
Proceedings of the PCI 2021: 25th Pan-Hellenic Conference on Informatics, Volos, Greece, November 26, 2021
Deep Learning for Bone Metastasis Localisation in Nuclear Imaging data of Breast Cancer Patients.
Proceedings of the 12th International Conference on Information, 2021
Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation.
Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021
2020
Conventional and machine learning approaches as countermeasures against hardware trojan attacks.
Microprocess. Microsystems, 2020
A novel feature extraction methodology using Siamese convolutional neural networks for intrusion detection.
Cybersecur., 2020
Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
A Machine Learning workflow for Diagnosis of Knee Osteoarthritis with a focus on post-hoc explainability.
Proceedings of the 11th International Conference on Information, 2020
Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative.
Proceedings of the 11th International Conference on Information, 2020
A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective.
Quantum Mach. Intell., 2019
Exploring deep learning capabilities in knee osteoarthritis case study for classification.
Proceedings of the 10th International Conference on Information, 2019
2017
Proceedings of the 8th International Conference on Information and Communication Technologies in Agriculture, 2017
2014
Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014
2012
SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2012
A fast SVM-based wrapper feature selection method driven by a fuzzy complementary criterion.
Pattern Anal. Appl., 2012
2010
SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion.
Pattern Recognit., 2010
Proceedings of the FUZZ-IEEE 2010, 2010
2008
IEEE Trans. Syst. Man Cybern. Part B, 2008
Autom., 2008