6 papers
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…
Efficient Pain Recognition via Respiration Signals: A Single Cross-Attention Transformer Multi-Window Fusion Pipeline
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
Pain is a complex condition that affects a large portion of the population. Accurate and consistent evaluation is essential for individuals experiencing pain and supports the devel…
Multi-Representation Diagrams for Pain Recognition: Integrating Various Electrodermal Activity Signals into a Single Image
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
Pain is a multifaceted phenomenon that affects a substantial portion of the population. Reliable and consistent evaluation supports individuals experiencing pain and enables the de…
Tiny-BioMoE: a Lightweight Embedding Model for Biosignal Analysis
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
Pain is a complex and pervasive condition that affects a significant portion of the population. Accurate and consistent assessment is essential for individuals suffering from pain,…
A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos
Ioannis Kyprakis, Vasileios Skaramagkas, Iro Boura +5
Parkinson's disease (PD) is a neurodegenerative disorder, manifesting with motor and non-motor symptoms. Depressive symptoms are prevalent in PD, affecting up to 45% of patients. T…