9 citations · 16 across the 11 of their papers we have counts for
7 papers · 1 filter
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection
Dimitrios Kollias, Anastasios Arsenos, James Wingate +1
This paper presents a new approach for effective segmentation of images that can be integrated into any model and methodology; the paradigm that we choose is classification of medi…
Complex Style Image Transformations for Domain Generalization in Medical Images
Nikolaos Spanos, Anastasios Arsenos, Paraskevi-Antonia Theofilou +3
The absence of well-structured large datasets in medical computer vision results in decreased performance of automated systems and, especially, of deep learning models. Domain gene…
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection
Anastasios Arsenos, Vasileios Karampinis, Evangelos Petrongonas +4
The main barrier to achieving fully autonomous flights lies in autonomous aircraft navigation. Managing non-cooperative traffic presents the most important challenge in this proble…
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 +5
In the last twenty years, unmanned aerial vehicles (UAVs) have garnered growing interest due to their expanding applications in both military and civilian domains. Detecting non-co…
Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation
Anastasios Arsenos, Dimitrios Kollias, Evangelos Petrongonas +2
In the context of single domain generalisation, the objective is for models that have been exclusively trained on data from a single domain to demonstrate strong performance when c…
COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI System
Demetris Gerogiannis, Anastasios Arsenos, Dimitrios Kollias +2
Computer-aided diagnosis (CAD) systems stand out as potent aids for physicians in identifying the novel Coronavirus Disease 2019 (COVID-19) through medical imaging modalities. In t…
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
The paper presents the DEF-AI-MIA COV19D Competition, which is organized in the framework of the 'Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis (DEF-…