| Dynamic vision: from images to face recognition S Gong, SJ McKenna, A Psarrou World Scientific, 2000 | 438 | 2000 |
| A Multi-View Nonlinear Active Shape Model Using Kernel PCA. S Romdhani, S Gong, A Psarrou BMVC 10, 483-492, 1999 | 384 | 1999 |
| Computational approaches to explainable artificial intelligence: advances in theory, applications and trends JM Górriz, I Álvarez-Illán, A Álvarez-Marquina, JE Arco, M Atzmueller, ... Information Fusion 100, 101945, 2023 | 209 | 2023 |
| Mobile augmented reality for cultural heritage A Angelopoulou, D Economou, V Bouki, A Psarrou, L Jin, C Pritchard, ... International conference on mobile wireless middleware, operating systems …, 2011 | 163 | 2011 |
| Key-frame extraction algorithm using entropy difference M Mentzelopoulos, A Psarrou Proceedings of the 6th ACM SIGMM international workshop on Multimedia …, 2004 | 98 | 2004 |
| Recognition of human gestures and behaviour based on motion trajectories A Psarrou, S Gong, M Walter Image and Vision Computing 20 (5-6), 349-358, 2002 | 91 | 2002 |
| Tracking and recognition of face sequences S Gong, A Psarrou, I Katsoulis, P Palavouzis Image Processing for Broadcast and Video Production: Proceedings of the …, 1995 | 42 | 1995 |
| 3D reconstruction of medical images from slices automatically landmarked with growing neural models A Angelopoulou, A Psarrou, J Garcia-Rodriguez, S Orts-Escolano, ... Neurocomputing 150, 16-25, 2015 | 39 | 2015 |
| Autonomous growing neural gas for applications with time constraint: optimal parameter estimation J García-Rodríguez, A Angelopoulou, JM García-Chamizo, A Psarrou, ... Neural Networks 32, 196-208, 2012 | 39 | 2012 |
| Automatic Landmarking of 2D Medical Shapes Using the Growing Neural Gas Network A Angelopoulou, A Psarrou, JG Rodríguez, K Revett International Workshop on Computer Vision for Biomedical Image Applications …, 2005 | 39 | 2005 |
| Data driven model acquisition using minimum description length M Walter, A Psarrou, S Gong BMVA, 2001 | 32 | 2001 |
| Edge detection techniques for quantifying spatial imaging system performance and image quality O Van Zwanenberg, S Triantaphillidou, R Jenkin, A Psarrou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 29 | 2019 |
| Modelling spatio-temporal trajectories and face signatures on partially recurrent neural networks A Psarrou, S Gong, H Buxton Proceedings of ICNN'95-International Conference on Neural Networks 5, 2226-2231, 1995 | 29 | 1995 |
| Recognition of temporal structures: Learning prior and propagating observation augmented densities via hidden markov states S Gong, M Walter, A Psarrou Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999 | 28 | 1999 |
| On utilising template and feature-based correspondence in multi-view appearance models S Romdhani, A Psarrou, S Gong European Conference on Computer Vision, 799-813, 2000 | 27 | 2000 |
| Learning Prior and Observation Augmented Density Models for Behaviour Recognition. M Walter, A Psarrou, S Gong BMVC, 1-10, 1999 | 22 | 1999 |
| A comprehensive study on pain assessment from multimodal sensor data M Benavent-Lledo, D Mulero-Perez, D Ortiz-Perez, J Rodriguez-Juan, ... Sensors 23 (24), 9675, 2023 | 21 | 2023 |
| Contrast sensitivity in images of natural scenes S Triantaphillidou, J Jarvis, A Psarrou, G Gupta Signal Processing: Image Communication 75, 64-75, 2019 | 18 | 2019 |
| Active foreground region extraction and tracking for sports video annotation M Mentzelopoulos, A Psarrou, A Angelopoulou, J García-Rodríguez Neural processing letters 37 (1), 33-46, 2013 | 18 | 2013 |
| Learning 2D Hand Shapes Using the Topology Preservation Model GNG A Angelopoulou, JG Rodríguez, A Psarrou European Conference on Computer Vision, 313-324, 2006 | 18 | 2006 |
