78 citations · 85 across the 7 of their papers we have counts for
8 papers
Deep Learning for Biopsy-Free Subtyping of Basal Cell Carcinoma from Dermatoscopic Images
Alexandros Papadopoulos, Chrysa Episkopou, Ioannis Sarafis +2
Basal Cell Carcinoma (BCC) is the most common type of skin cancer, accounting for nearly 80% of skin cancer di- agnoses. Its optimal clinical management is guided by the distinct h…
Weakly Supervised Food Image Segmentation using Vision Transformers and Segment Anything Model
Ioannis Sarafis, Alexandros Papadopoulos, Anastasios Delopoulos
In this paper, we propose a weakly supervised semantic segmentation approach for food images which takes advantage of the zero-shot capabilities and promptability of the Segment An…
Food Image Classification and Segmentation with Attention-based Multiple Instance Learning
Valasia Vlachopoulou, Ioannis Sarafis, Alexandros Papadopoulos
The demand for accurate food quantification has increased in the recent years, driven by the needs of applications in dietary monitoring. At the same time, computer vision approach…
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions
Alexandros Papadopoulos, Anastasios Delopoulos
Data-driven approaches for remote detection of Parkinson's Disease and its motor symptoms have proliferated in recent years, owing to the potential clinical benefits of early diagn…
Dynamic Programmable Wireless Environment with UAV-mounted Static Metasurfaces
Prodromos-Vasileios Mekikis, Dimitrios Tyrovolas, Sotiris Tegos +8
Reconfigurable intelligent surfaces (RISs) are artificial planar structures able to offer a unique way of manipulating propagated wireless signals. Commonly composed of a number of…
An Open Platform for Simulating the Physical Layer of 6G Communication Systems with Multiple Intelligent Surfaces
Alexandros Papadopoulos, Antonios Lalas, Konstantinos Votis +4
Reconfigurable Intelligent Surfaces (RIS) constitute a promising technology that could fulfill the extreme performance and capacity needs of the upcoming 6G wireless networks, by o…