10 papers
EchoRisk: A Multicentre Echocardiography Dataset and Benchmark for Cardio-Oncology
Grigorios Kalliatakis, Georgia Karanasiou, Georgios Manikis +10
Therapy-induced cardiotoxicity is the leading non-oncological cause of treatment interruption in breast cancer patients, yet early, automated risk stratification from routine cardi…
TDGT: A Tabular Data Generation Toolkit supporting adaptive GPU-accelerated Bayesian mixture models, diffusion-based models, and latent-space generative modeling
Vasileios C. Pezoulas, Nikolaos S. Tachos, Eleni Georga +3
The growing demand for privacy-preserving data sharing has positioned synthetic data generation as a critical component of responsible AI workflows. Despite notable advances in gen…
Stress Estimation in Elderly Oncology Patients Using Visual Wearable Representations and Multi-Instance Learning
Ioannis Kyprakis, Vasileios Skaramagkas, Georgia Karanasiou +10
Psychological stress is clinically relevant in cardio-oncology, yet it is typically assessed only through patient-reported outcome measures (PROMs) and is rarely integrated into co…
Frailty Estimation in Elderly Oncology Patients Using Multimodal Wearable Data and Multi-Instance Learning
Ioannis Kyprakis, Vasileios Skaramagkas, Georgia Karanasiou +10
Frailty and functional decline strongly influence treatment tolerance and outcomes in older patients with cancer, yet assessment is typically limited to infrequent clinic visits. W…
Synthetic Data Blueprint (SDB): A modular framework for the statistical, structural, and graph-based evaluation of synthetic tabular data
Vasileios C. Pezoulas, Nikolaos S. Tachos, Eleni Georga +3
In the rapidly evolving era of Artificial Intelligence (AI), synthetic data are widely used to accelerate innovation while preserving privacy and enabling broader data accessibilit…
PainFormer: a Vision Foundation Model for Automatic Pain Assessment
Stefanos Gkikas, Raul Fernandez Rojas, Manolis Tsiknakis
Pain is a manifold condition that impacts a significant percentage of the population. Accurate and reliable pain evaluation for the people suffering is crucial to developing effect…