Automatic assessment of Parkinson's patients' dyskinesia using non-invasive machine learning methods. - Paraskevi-Antonia Theofilou; Georgios Tsatiris; Stefanos D. Kollias (IMET, 2022)

Covid-19 Detection From X-Rays Images Using Deep Learning Methods. - Georgios Sapountzakis; Paraskevi-Antonia Theofilou; Paraskevi K. Tzouveli (ICASSP Workshops, 2023)

FaceRNET: a Facial Expression Intensity Estimation Network. - Dimitrios Kollias; Andreas Psaroudakis; Anastasios Arsenos; Paraskevi-Antonia Theofilou (CoRR, 2023)

Synergy of Machine and Deep Learning Models for Multi-Painter Recognition. - Vassilis Lyberatos; Paraskevi-Antonia Theofilou; Jason Liartis; Georgios Siolas (CoRR, 2023)

Complex Style Image Transformations for Domain Generalization in Medical Images. - Nikolaos Spanos; Anastasios Arsenos; Paraskevi-Antonia Theofilou; Paraskevi K. Tzouveli; Athanasios Voulodimos; Stefanos D. Kollias (CVPR Workshops, 2024)

MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation. - Dimitrios Kollias; Andreas Psaroudakis; Anastasios Arsenos; Paraskevi Theofilou; Chunchang Shao; Guanyu Hu 003; Ioannis Patras (ECCV Workshops (15), 2024)

Hybrid CNN-ViT Models for Medical Image Classification. - Dimitrios Pantelaios; Paraskevi-Antonia Theofilou; Paraskevi K. Tzouveli; Stefanos D. Kollias (ISBI, 2024)