Serafeim P. Moustakidis

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 30

Top Topics

Positron Emission Tomography

Top Venues

Publications

Kyriakos Apostolidis, Christos Kokkotis, Serafeim P. Moustakidis, Evangelos G. Karakasis, Paraskevi Sakellari, Christina Koutra, Dimitrios Tsiptsios, Stella Karatzetzou, Konstantinos Vadikolias, Nikolaos Aggelousis
Machine Learning Algorithms for the Prediction of Language and Cognition Rehabilitation Outcomes of Post-stroke Patients: A Scoping Review. Hum. Centric Intell. Syst. 4 (1) (2024)
Christos G. Chadoulos, Dimitrios Tsaopoulos, Serafeim P. Moustakidis, John B. Theocharis
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. 12 (1) (2024)
Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Eirini Christodolou, Elpiniki Papageorgiou, Dimitrios Tsaopoulos
Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness. Neural Comput. Appl. 35 (1) (2023)
Zoumpolia Dikopoulou, Eleni Lavasa, Sergi Perez-Castanos, David Monzo, Serafeim P. Moustakidis
Towards Explainable AI Validation in Industry 4.0: A Fuzzy Cognitive Map-based Evaluation Framework for Assessing Business Value. ICE/ITMC (2023)
Kyriakos Apostolidis, Christos Kokkotis, Evangelos G. Karakasis, Evangeli Karampina, Serafeim P. Moustakidis, Dimitrios Menychtas, Georgios Giarmatzis, Dimitrios Tsiptsios, Konstantinos Vadikolias, Nikolaos Aggelousis
Innovative Visualization Approach for Biomechanical Time Series in Stroke Diagnosis Using Explainable Machine Learning Methods: A Proof-of-Concept Study. Inf. 14 (10) (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)
Tuan A. Bohoran, Polydoros N. Kampaktsis, Laura McLaughlin, Jay Leb, Serafeim P. Moustakidis, Gerry P. McCann, Archontis Giannakidis
Right Ventricular Volume Prediction by Feature Tokenizer Transformer-Based Regression of 2D Echocardiography Small-Scale Tabular Data. FIMH (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)
Charis Ntakolia, Serafeim P. Moustakidis, Athanasios Siouras
Autonomous path planning with obstacle avoidance for smart assistive systems. Expert Syst. Appl. 213 (Part) (2023)
Serafeim P. Moustakidis, Spyridon Plakias, Christos Kokkotis, Themistoklis Tsatalas, Dimitrios Tsaopoulos
Predicting Football Team Performance with Explainable AI: Leveraging SHAP to Identify Key Team-Level Performance Metrics. Future Internet 15 (5) (2023)
Nikolaos I. Papandrianos, Anna Feleki, Serafeim P. Moustakidis, Elpiniki I. Papageorgiou
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology. IISA (2022)
Athanasios Siouras, Serafeim P. Moustakidis, Archontis Giannakidis, Georgios Chalatsis, Konstantinos N. Malizos, Michael Hantes, Sotiris K. Tasoulis, Dimitrios Tsaopoulos
Automated Recognition of healthy Anterior Cruciate Ligament in Sagittal MR images using Lightweight Deep Learning. IISA (2022)
Christos G. Chadoulos, Dimitrios Tsaopoulos, Serafeim P. Moustakidis, Nikolaos L. Tsakiridis, John B. Theocharis
A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation. Comput. Methods Programs Biomed. 227 (2022)
Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, Vassilis P. Plagianakos
Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. IJCNN (2022)
Serafeim P. Moustakidis, Athanasios Siouras, Konstantinos Vassis, Ioannis Misiris, Elpiniki Papageorgiou, Dimitrios Tsaopoulos
Prediction of Injuries in CrossFit Training: A Machine Learning Perspective. Algorithms 15 (3) (2022)
Charis Ntakolia, Christos Kokkotis, Patrik Karlsson, Serafeim P. Moustakidis
An Explainable Machine Learning Model for Material Backorder Prediction in Inventory Management. Sensors 21 (23) (2021)
Christos G. Chadoulos, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, John B. Theocharis
Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation. CSAI (2021)
Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou
An explainable machine learning pipeline for backorder prediction in inventory management systems. PCI (2021)
Serafeim P. Moustakidis, Athanasios Siouras, Nikolaos I. Papandrianos, Charis Ntakolia, Elpiniki Papageorgiou
Deep Learning for Bone Metastasis Localisation in Nuclear Imaging data of Breast Cancer Patients. IISA (2021)
Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos
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 156 (2021)
Zoumpolia Dikopoulou, Serafeim P. Moustakidis, Patrik Karlsson
GLIME: A new graphical methodology for interpretable model-agnostic explanations. CoRR (2021)
Antonios Alexos, Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Dimitrios Tsaopoulos
Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative. IISA (2020)
Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Giannis Giakas, Dimitrios Tsaopoulos
A Machine Learning workflow for Diagnosis of Knee Osteoarthritis with a focus on post-hoc explainability. IISA (2020)
Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos
A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients. BIBE (2020)
Antonios Alexos, Serafeim P. Moustakidis, Christos Kokkotis, Dimitrios Tsaopoulos
Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective. LION (2020)
Serafeim P. Moustakidis, Patrik Karlsson
A novel feature extraction methodology using Siamese convolutional neural networks for intrusion detection. Cybersecur. 3 (1) (2020)
Konstantinos Liakos, Georgios K. Georgakilas, Serafeim P. Moustakidis, Nicolas Sklavos, Fotis C. Plessas
Conventional and machine learning approaches as countermeasures against hardware trojan attacks. Microprocess. Microsystems 79 (2020)
Eirini Christodoulou, Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos, Elpiniki Papageorgiou
Exploring deep learning capabilities in knee osteoarthritis case study for classification. IISA (2019)
Serafeim P. Moustakidis, Eirini Christodoulou, Elpiniki Papageorgiou, Christos Kokkotis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos
Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective. Quantum Mach. Intell. 1 (3-4) (2019)
Konstantinos Liakos, Serafeim P. Moustakidis, Georgia Tsiotra, Thomas Bartzanas, Dionysis Bochtis, Constantinos Parisses
Machine Learning Based Computational Analysis Method for Cattle Lameness Prediction. HAICTA (2017)
Thayaparan Parthipan, P. Jackson, A. Chong, Mathew Legg, Abbas Mohimi, Vassilios Kappatos, Cem Selcuk, Tat-Hean Gan, Serafeim P. Moustakidis, K. Hrissagis
Long Range Ultrasonic inspection of aircraft wiring. ISIE (2014)
Serafeim P. Moustakidis, Giorgos Mallinis, Nikos Koutsias, John B. Theocharis, Vassilios Petridis
SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 50 (1) (2012)
Serafeim P. Moustakidis, John B. Theocharis
A fast SVM-based wrapper feature selection method driven by a fuzzy complementary criterion. Pattern Anal. Appl. 15 (4) (2012)
Serafeim P. Moustakidis, John B. Theocharis
SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion. Pattern Recognit. 43 (11) (2010)
Nikolaos E. Mitrakis, Serafeim P. Moustakidis, John B. Theocharis
A Fuzzy Complementary Criterion for structure learning of a neuro-fuzzy classifier. FUZZ-IEEE (2010)
Serafeim P. Moustakidis, John B. Theocharis, Giannis Giakas
Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals. IEEE Trans. Syst. Man Cybern. Part B 38 (6) (2008)
Serafeim P. Moustakidis, George A. Rovithakis, John B. Theocharis
An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems. Autom. 44 (5) (2008)