| Review on psychological stress detection using biosignals G Giannakakis, D Grigoriadis, K Giannakaki, O Simantiraki, A Roniotis, ... IEEE transactions on affective computing 13 (1), 440-460, 2019 | 726 | 2019 |
| Stress and anxiety detection using facial cues from videos G Giannakakis, M Pediaditis, D Manousos, E Kazantzaki, F Chiarugi, ... Biomedical Signal Processing and Control 31, 89-101, 2017 | 396 | 2017 |
| The mobiact dataset: Recognition of activities of daily living using smartphones G Vavoulas, C Chatzaki, T Malliotakis, M Pediaditis, M Tsiknakis International conference on information and communication technologies for …, 2016 | 317 | 2016 |
| Review of eye tracking metrics involved in emotional and cognitive processes V Skaramagkas, G Giannakakis, E Ktistakis, D Manousos, I Karatzanis, ... IEEE Reviews in Biomedical Engineering 16, 260-277, 2021 | 243 | 2021 |
| Organizational factors affecting successful adoption of innovative eHealth services: A case study employing the FITT framework M Tsiknakis, A Kouroubali International journal of medical informatics 78 (1), 39-52, 2009 | 243 | 2009 |
| Automatic assessment of depression based on visual cues: A systematic review A Pampouchidou, PG Simos, K Marias, F Meriaudeau, F Yang, ... IEEE Transactions on Affective Computing 10 (4), 445-470, 2017 | 237 | 2017 |
| An open, component-based information infrastructure for integrated health information networks M Tsiknakis, DG Katehakis, SC Orphanoudakis International journal of medical informatics 68 (1-3), 3-26, 2002 | 176 | 2002 |
| The MobiFall dataset: An initial evaluation of fall detection algorithms using smartphones G Vavoulas, M Pediaditis, EG Spanakis, M Tsiknakis 13th IEEE International Conference on BioInformatics and BioEngineering, 1-4, 2013 | 136 | 2013 |
| Depression assessment by fusing high and low level features from audio, video, and text A Pampouchidou, O Simantiraki, A Fazlollahi, M Pediaditis, D Manousos, ... Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016 | 133 | 2016 |
| Human daily activity and fall recognition using a smartphone’s acceleration sensor C Chatzaki, M Pediaditis, G Vavoulas, M Tsiknakis Information and Communication Technologies for Ageing Well and e-Health …, 2017 | 125 | 2017 |
| The mobifall dataset: Fall detection and classification with a smartphone G Vavoulas, M Pediaditis, C Chatzaki, EG Spanakis, M Tsiknakis Artificial intelligence: Concepts, methodologies, tools, and applications …, 2017 | 117 | 2017 |
| Wize Mirror-a smart, multisensory cardio-metabolic risk monitoring system Y Andreu, F Chiarugi, S Colantonio, G Giannakakis, D Giorgi, ... Computer Vision and Image Understanding 148, 3-22, 2016 | 107 | 2016 |
| Technology-based innovations to foster personalized healthy lifestyles and well-being: a targeted review EG Spanakis, S Santana, M Tsiknakis, K Marias, V Sakkalis, A Teixeira, ... Journal of medical Internet research 18 (6), e128, 2016 | 103 | 2016 |
| The ACGT Master Ontology and its applications–Towards an ontology-driven cancer research and management system M Brochhausen, AD Spear, C Cocos, G Weiler, L Martín, A Anguita, ... Journal of biomedical informatics 44 (1), 8-25, 2011 | 97 | 2011 |
| Detection of stress/anxiety state from EEG features during video watching G Giannakakis, D Grigoriadis, M Tsiknakis 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 94 | 2015 |
| Ontology-driven monitoring of patient’s vital signs enabling personalized medical detection and alert A Hristoskova, V Sakkalis, G Zacharioudakis, M Tsiknakis, F De Turck Sensors 14 (1), 1598-1628, 2014 | 92 | 2014 |
| FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging K Lekadir, R Osuala, C Gallin, N Lazrak, K Kushibar, G Tsakou, S Aussó, ... arXiv preprint arXiv:2109.09658, 2021 | 85 | 2021 |
| A stress recognition system using HRV parameters and machine learning techniques G Giannakakis, K Marias, M Tsiknakis 2019 8th International conference on affective computing and intelligent …, 2019 | 82 | 2019 |
| The smart-insole dataset: Gait analysis using wearable sensors with a focus on elderly and Parkinson’s patients C Chatzaki, V Skaramagkas, N Tachos, G Christodoulakis, E Maniadi, ... Sensors 21 (8), 2821, 2021 | 77 | 2021 |
| iManageCancer: Developing a platform for Empowering patients and strengthening self-management in cancer diseases H Kondylakis, A Bucur, F Dong, C Renzi, A Manfrinati, N Graf, S Hoffman, ... 2017 IEEE 30th International Symposium on Computer-Based Medical Systems …, 2017 | 76 | 2017 |
Kostas MariasProfessor, Dept. of Electrical & Computer Engineering, Hellenic Mediterranean University, Greece確認したメール アドレス: hmu.gr
