Exploring deep learning capabilities in knee osteoarthritis case study for classification. - Eirini Christodoulou; Serafeim P. Moustakidis; Nikolaos I. Papandrianos; Dimitrios Tsaopoulos; Elpiniki Papageorgiou (IISA, 2019)

Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective. - Serafeim P. Moustakidis; Eirini Christodoulou; Elpiniki Papageorgiou; Christos Kokkotis; Nikolaos I. Papandrianos; Dimitrios Tsaopoulos (Quantum Mach. Intell., 2019)

A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients. - Charis Ntakolia; Christos Kokkotis; Serafeim P. Moustakidis; Dimitrios Tsaopoulos (BIBE, 2020)

Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative. - Antonios Alexos; Christos Kokkotis; Serafeim P. Moustakidis; Elpiniki Papageorgiou; Dimitrios Tsaopoulos (IISA, 2020)

A Machine Learning workflow for Diagnosis of Knee Osteoarthritis with a focus on post-hoc explainability. - Christos Kokkotis; Serafeim P. Moustakidis; Elpiniki Papageorgiou; Giannis Giakas; Dimitrios Tsaopoulos (IISA, 2020)

Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective. - Antonios Alexos; Serafeim P. Moustakidis; Christos Kokkotis; Dimitrios Tsaopoulos (LION, 2020)

Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation. - Christos G. Chadoulos; Serafeim P. Moustakidis; Dimitrios Tsaopoulos; John B. Theocharis (CSAI, 2021)

Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients. - Charis Ntakolia; Christos Kokkotis; Serafeim P. Moustakidis; Dimitrios Tsaopoulos (Int. J. Medical Informatics, 2021)

Real-Time Musculoskeletal Kinematics and Dynamics Analysis Using Marker- and IMU-Based Solutions in Rehabilitation. - Dimitar Stanev; Konstantinos Filip; Dimitrios Bitzas; Sokratis Zouras; Georgios Giarmatzis; Dimitrios Tsaopoulos; Konstantinos Moustakas (Sensors, 2021)

Automated Recognition of healthy Anterior Cruciate Ligament in Sagittal MR images using Lightweight Deep Learning. - Athanasios Siouras; Serafeim P. Moustakidis; Archontis Giannakidis; Georgios Chalatsis; Konstantinos N. Malizos; Michael Hantes; Sotiris K. Tasoulis; Dimitrios Tsaopoulos (IISA, 2022)

Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. - Spiros V. Georgakopoulos; Sotiris K. Tasoulis; Aristidis G. Vrahatis; Serafeim P. Moustakidis; Dimitrios Tsaopoulos; Vassilis P. Plagianakos (IJCNN, 2022)

Prediction of Injuries in CrossFit Training: A Machine Learning Perspective. - Serafeim P. Moustakidis; Athanasios Siouras; Konstantinos Vassis; Ioannis Misiris; Elpiniki Papageorgiou; Dimitrios Tsaopoulos (Algorithms, 2022)

A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation. - Christos G. Chadoulos; Dimitrios Tsaopoulos; Serafeim P. Moustakidis; Nikolaos L. Tsakiridis; John B. Theocharis (Comput. Methods Programs Biomed., 2022)

Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness. - Serafeim P. Moustakidis; Nikolaos I. Papandrianos; Eirini Christodolou; Elpiniki Papageorgiou; Dimitrios Tsaopoulos (Neural Comput. Appl., 2023)

Predicting Football Team Performance with Explainable AI: Leveraging SHAP to Identify Key Team-Level Performance Metrics. - Serafeim P. Moustakidis; Spyridon Plakias; Christos Kokkotis; Themistoklis Tsatalas; Dimitrios Tsaopoulos (Future Internet, 2023)

Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis. - Athanasios Siouras; Serafeim P. Moustakidis; George Chalatsis; Tuan Aqeel Bohoran; Michael Hantes; Marianna Vlychou; Sotiris K. Tasoulis; Archontis Giannakidis; Dimitrios Tsaopoulos (Comput. Medical Imaging Graph., 2024)

A Multi-View Semi-supervised learning method for knee joint cartilage segmentation combining multiple feature descriptors and image modalities. - Christos G. Chadoulos; Dimitrios Tsaopoulos; Serafeim P. Moustakidis; John B. Theocharis (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)