Anastasios Arsenos

According to our database, Anastasios Arsenos authored at least 21 papers between 2020 and 2025.

Collaborative distances:

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

2025

Enhancing Few-Shot Medical Image Classification with Supervised Patch-Token Knowledge Distillation.

Vasileios Karampinis, Anastasios Arsenos, Dimitrios Kollias, Stefanos Kollias, Athanasios Voulodimos

Proceedings of the 25th International Conference on Digital Signal Processing, 2025

2024

Common Corruptions for Evaluating and Enhancing Robustness in Air-to-Air Visual Object Detection.

Anastasios Arsenos, Vasileios Karampinis, Evangelos Petrongonas, Christos Skliros, Dimitrios Kollias, Stefanos D. Kollias, Athanasios Voulodimos

IEEE Robotics Autom. Lett., July, 2024

SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection.

Dimitrios Kollias, Anastasios Arsenos, James Wingate, Stefanos Kollias

EAI Endorsed Trans. Pervasive Health Technol., 2024

SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection.

Dimitrios Kollias, Anastasios Arsenos, James Wingate, Stefanos D. Kollias

CoRR, 2024

Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection.

Anastasios Arsenos, Vasileios Karampinis, Evangelos Petrongonas, Christos Skliros, Dimitrios Kollias, Stefanos D. Kollias, Athanasios Voulodimos

CoRR, 2024

Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation.

Vasileios Karampinis, Anastasios Arsenos, Orfeas Filippopoulos, Evangelos Petrongonas, Christos Skliros, Dimitrios Kollias, Stefanos D. Kollias, Athanasios Voulodimos

CoRR, 2024

Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans.

Dimitrios Kollias, Anastasios Arsenos, Stefanos D. Kollias

CoRR, 2024

Covid-19 Computer-Aided Diagnosis through AI-Assisted CT Imaging Analysis: Deploying a Medical AI System.

Demetris Gerogiannis, Anastasios Arsenos, Dimitrios Kollias, Dimitris Nikitopoulos, Stefanos D. Kollias

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Uncertainty-Guided Contrastive Learning For Single Source Domain Generalisation.

Anastasios Arsenos, Dimitrios Kollias, Evangelos Petrongonas, Christos Skliros, Stefanos D. Kollias

Proceedings of the IEEE International Conference on Acoustics, 2024

MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation.

Dimitrios Kollias, Andreas Psaroudakis, Anastasios Arsenos, Paraskevi Theofilou, Chunchang Shao, Guanyu Hu, Ioannis Patras

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Complex Style Image Transformations for Domain Generalization in Medical Images.

Nikolaos Spanos, Anastasios Arsenos, Paraskevi-Antonia Theofilou, Paraskevi K. Tzouveli, Athanasios Voulodimos, Stefanos D. Kollias

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans.

Dimitrios Kollias, Anastasios Arsenos, Stefanos Kollias

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A deep neural architecture for harmonizing 3-D input data analysis and decision making in medical imaging.

Dimitrios Kollias, Anastasios Arsenos, Stefanos D. Kollias

Neurocomputing, July, 2023

FaceRNET: a Facial Expression Intensity Estimation Network.

Dimitrios Kollias, Andreas Psaroudakis, Anastasios Arsenos, Paraskevi-Antonia Theofilou

CoRR, 2023

AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-19 & its Severity.

Dimitrios Kollias, Anastasios Arsenos, Stefanos D. Kollias

Proceedings of the IEEE International Conference on Acoustics, 2023

Data-Driven Covid-19 Detection Through Medical Imaging.

Anastasios Arsenos, Andjoli Davidhi, Dimitrios Kollias, Panos Prassopoulos, Stefanos D. Kollias

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imaging.

Dimitrios Kollias, Anastasios Arsenos, Stefanos D. Kollias

CoRR, 2022

A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis.

Anastasios Arsenos, Dimitrios Kollias, Stefanos D. Kollias

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging.

Dimitrios Kollias, Anastasios Arsenos, Stefanos D. Kollias

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis.

Dimitrios Kollias, Anastasios Arsenos, Levon Soukissian, Stefanos D. Kollias

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

NTUAAILS at SemEval-2020 Task 11: Propaganda Detection and Classification with biLSTMs and ELMo.

Anastasios Arsenos, Georgios Siolas

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020