78 citations · 216 across the 19 of their papers we have counts for
21 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…
Estimation of Food Intake Quantity Using Inertial Signals from Smartwatches
Ioannis Levi, Konstantinos Kyritsis, Vasileios Papapanagiotou +2
Accurate monitoring of eating behavior is crucial for managing obesity and eating disorders such as bulimia nervosa. At the same time, existing methods rely on multiple and/or spec…
A system for objectively measuring behavior and the environment to support large-scale studies on childhood obesity
Vasileios Papapanagiotou, Ioannis Sarafis, Leonidas Alagialoglou +3
Advances in IoT technologies combined with new algorithms have enabled the collection and processing of high-rate multi-source data streams that quantify human behavior in a fine-g…
Prediabetes detection in unconstrained conditions using wearable sensors
Dimitra Tatli, Vasileios Papapanagiotou, Aris Liakos +2
Prediabetes is a common health condition that often goes undetected until it progresses to type 2 diabetes. Early identification of prediabetes is essential for timely intervention…
Transportation mode recognition based on low-rate acceleration and location signals with an attention-based multiple-instance learning network
Christos Siargkas, Vasileios Papapanagiotou, Anastasios Delopoulos
Transportation mode recognition (TMR) is a critical component of human activity recognition (HAR) that focuses on understanding and identifying how people move within transportatio…