Anastasios Arsenos

Orcid: 0009-0000-0332-6194

According to our database1, Anastasios Arsenos authored at least 18 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
0
1
2
3
4
5
6
7
8
9
10
5
2
1
4
2
2
1
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Common Corruptions for Evaluating and Enhancing Robustness in Air-to-Air Visual Object Detection.
IEEE Robotics Autom. Lett., July, 2024

SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection.
CoRR, 2024

Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection.
CoRR, 2024

Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation.
CoRR, 2024

Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans.
CoRR, 2024

Covid-19 Computer-Aided Diagnosis through AI-Assisted CT Imaging Analysis: Deploying a Medical AI System.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Uncertainty-Guided Contrastive Learning For Single Source Domain Generalisation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Complex Style Image Transformations for Domain Generalization in Medical Images.
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.
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.
Neurocomputing, July, 2023

FaceRNET: a Facial Expression Intensity Estimation Network.
CoRR, 2023

AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-19 & its Severity.
Proceedings of the IEEE International Conference on Acoustics, 2023

Data-Driven Covid-19 Detection Through Medical Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imaging.
CoRR, 2022

A Large Imaging Database and Novel Deep Neural Architecture for Covid-19 Diagnosis.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis.
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.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020


  Loading...