collaborators

6 papers

eess.IV2025

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…

cs.CV2024

A Full Transformer-based Framework for Automatic Pain Estimation using Videos

Stefanos Gkikas, Manolis Tsiknakis

The automatic estimation of pain is essential in designing an optimal pain management system offering reliable assessment and reducing the suffering of patients. In this study, we…

cs.CV2024

Synthetic Thermal and RGB Videos for Automatic Pain Assessment utilizing a Vision-MLP Architecture

Stefanos Gkikas, Manolis Tsiknakis

Pain assessment is essential in developing optimal pain management protocols to alleviate suffering and prevent functional decline in patients. Consequently, reliable and accurate…

cs.CV2024

Twins-PainViT: Towards a Modality-Agnostic Vision Transformer Framework for Multimodal Automatic Pain Assessment using Facial Videos and fNIRS

Stefanos Gkikas, Manolis Tsiknakis

Automatic pain assessment plays a critical role for advancing healthcare and optimizing pain management strategies. This study has been submitted to the First Multimodal Sensing Gr…

cs.AI2024

Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factors

Stefanos Gkikas, Chariklia Chatzaki, Manolis Tsiknakis

Pain is a complex phenomenon which is manifested and expressed by patients in various forms. The immediate and objective recognition of it is a great of importance in order to atta…

cs.CY2024

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah +117

Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. I…