Dimitrios Tsaopoulos

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Anomaly Detection

Articular Cartilage

Top Venues

Int. J. Medical Informatics

Comput. methods Biomech. Biomed. Eng. Imaging Vis.

Publications

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)
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)
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)
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, 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)
Dimitar Stanev, Konstantinos Filip, Dimitrios Bitzas, Sokratis Zouras, Georgios Giarmatzis, Dimitrios Tsaopoulos, Konstantinos Moustakas
Real-Time Musculoskeletal Kinematics and Dynamics Analysis Using Marker- and IMU-Based Solutions in Rehabilitation. Sensors 21 (5) (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)
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)