13 citations · 27 across the 9 of their papers we have counts for
9 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…
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…
Intake Monitoring in Free-Living Conditions: Overview and Lessons we Have Learned
Christos Diou, Konstantinos Kyritsis, Vasileios Papapanagiotou +1
The progress in artificial intelligence and machine learning algorithms over the past decade has enabled the development of new methods for the objective measurement of eating, inc…
Collecting big behavioral data for measuring behavior against obesity
Vasileios Papapanagiotou, Ioannis Sarafis, Christos Diou +3
Obesity is currently affecting very large portions of the global population. Effective prevention and treatment starts at the early age and requires objective knowledge of populati…
Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment
Ioannis Sarafis, Christos Diou, Vasileios Papapanagiotou +2
Obesity affects a rising percentage of the children and adolescent population, contributing to decreased quality of life and increased risk for comorbidities. Although the major ca…
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment
Christos Diou, Ioannis Sarafis, Vasileios Papapanagiotou +28
Obesity is a complex disease and its prevalence depends on multiple factors related to the local socioeconomic, cultural and urban context of individuals. Many obesity prevention s…
A Methodology for Obtaining Objective Measurements of Population Obesogenic Behaviors in Relation to the Environment
Christos Diou, Ioannis Sarafis, Vasileios Papapanagiotou +2
The way we eat and what we eat, the way we move and the way we sleep significantly impact the risk of becoming obese. These aspects of behavior decompose into several personal beha…
Span error bound for weighted SVM with applications in hyperparameter selection
Ioannis Sarafis, Christos Diou, Anastasios Delopoulos
Weighted SVM (or fuzzy SVM) is the most widely used SVM variant owning its effectiveness to the use of instance weights. Proper selection of the instance weights can lead to increa…