Dimitrios Tsaopoulos

According to our database, Dimitrios Tsaopoulos authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., December, 2024

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

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, May, 2023

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

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

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

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

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.

Athanasios Siouras, Serafeim P. Moustakidis, Archontis Giannakidis, Georgios Chalatsis, Konstantinos N. Malizos, Michael Hantes, Sotiris K. Tasoulis, Dimitrios Tsaopoulos

Proceedings of the 13th International Conference on Information, 2022

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

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

Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation.

Christos G. Chadoulos, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, John B. Theocharis

Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

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

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.

Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Giannis Giakas, Dimitrios Tsaopoulos

Proceedings of the 11th International Conference on Information, 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

Proceedings of the 11th International Conference on Information, 2020

A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients.

Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos

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.

Serafeim P. Moustakidis, Eirini Christodoulou, Elpiniki Papageorgiou, Christos Kokkotis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos

Quantum Mach. Intell., 2019

Exploring deep learning capabilities in knee osteoarthritis case study for classification.

Eirini Christodoulou, Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos, Elpiniki Papageorgiou

Proceedings of the 10th International Conference on Information, 2019