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ORCIDDimitrios Tsaopoulos
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2020 – today
- 2024
[j9]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)- [j8]Athanasios Siouras, Serafeim P. Moustakidis, George Chalatsis, Tuan Aqeel Bohoran, Michael Hantes, Marianna Vlychou, Sotiris K. Tasoulis, Archontis Giannakidis, Dimitrios Tsaopoulos:
Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis. Comput. Medical Imaging Graph. 117: 102424 (2024) - 2023
- [j7]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): 174 (2023) - [j6]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): 21-33 (2023) - 2022
- [j5]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): 77 (2022) - [j4]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: 107208 (2022) - [c8]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: 1-8 - [c7]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: 1-9 - 2021
- [j3]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: 104614 (2021) - [j2]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): 1804 (2021) - [c6]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: 57-64 - 2020
- [c5]Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos:
A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients. BIBE 2020: 934-941 - [c4]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: 1-7 - [c3]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: 1-7 - [c2]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: 16-26
2010 – 2019
- 2019
- [j1]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): 73-86 (2019) - [c1]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: 1-6
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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