| CrowdLabel: A crowdsourcing platform for electrophysiology T Zhu, J Behar, T Papastylianou, GD Clifford Computing in Cardiology 2014, 789-792, 2014 | 15 | 2014 |
| Association of pneumococcal carriage in infants with the risk of carriage among their contacts in Nha Trang, Vietnam: A nested cross-sectional survey G Qian, M Toizumi, S Clifford, LT Le, T Papastylianou, C Satzke, B Quilty, ... PLoS medicine 19 (5), e1004016, 2022 | 10 | 2022 |
| An intelligent cardiac health monitoring and review system T Zhu, M Osipov, T Papastylianou, J Oster, DA Clifton, GD Clifford Appropriate Healthcare Technologies for Low Resource Settings (AHT 2014), 1-4, 2014 | 8 | 2014 |
| The NEVERMIND e-health system in the treatment of depressive symptoms among patients with severe somatic conditions: a multicentre, pragmatic randomised controlled trial V Carli, NG Petros, G Hadlaczky, T Vitcheva, P Berchialla, S Bianchi, ... EClinicalMedicine 48, 2022 | 7 | 2022 |
| Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators FZ Habbab, M Kampouridis, T Papastylianou 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 5 | 2023 |
| Application Of Machine Learning Algorithms to Free Cash Flows Growth Rate Estimation I Evdokimov, M Kampouridis, T Papastylianou Procedia Computer Science 222, 529-538, 2023 | 5 | 2023 |
| Software Architecture to Monitor Handpump Performance in Rural Kenya J Behar, A Guazzi, J Jorge, MA Maraci, S Laranjeira, T Papastylianou, ... 12th International Conference on Social Implications of Computers in …, 2013 | 5 | 2013 |
| Well-being forecasting using a parametric transfer-learning method based on the fisher divergence and hamiltonian monte carlo E Christinaki, T Papastylianou, S Carletto, S Gonzalez-Martinez, ... EAI Endorsed Transactions on Bioengineering and Bioinformatics 1 (1), 2020 | 3 | 2020 |
| Orientation-sensitive overlap measures for the validation of medical image segmentations T Papastylianou, E Dall’Armellina, V Grau Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 3 | 2016 |
| Fuzzy Segmentation of the Left Ventricle in Cardiac MRI Using Physiological Constraints T Papastylianou, C Kelly, B Villard, E Dall’Armellina, V Grau Functional Imaging and Modeling of the Heart: 8th International Conference …, 2015 | 3 | 2015 |
| Pneumococcal exposure routes for infants, a nested cross-sectional survey in Nha Trang, Vietnam G Qian, M Toizumi, S Clifford, LT Le, T Papastylianou, B Quilty, C Iwasaki, ... medRxiv, 2021.07. 04.21259950, 2021 | 2 | 2021 |
| Parametric transfer learning based on the fisher divergence for well-being prediction E Christinaki, T Papastylianou, R Poli, L Citi 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering …, 2019 | 2 | 2019 |
| Smart handpumps: technical aspects of a one-year field trial in rural Kenya T Papastylianou, J Behar, A Guazzi, J Jorge, S Laranjeira, MA Maraci, ... IET Digital Library, 2014 | 2 | 2014 |
| Fuzzy and probabilistic segmentation, and appropriate validation, applied to cardiac magnetic resonance images T Papastylianou University of Oxford, 2017 | | 2017 |
| Smart Handpumps: Improving the Reliability of Rural Water Services T Papastylianou IET, 2014 | | 2014 |
| Improving Real Estate Investment Trusts (REITs) Time-Series Prediction Accuracy Using Machine Learning and Technical Analysis Indicators. FZ Habbab, M Kampouridis, T Papastylianou | | |
Gari CliffordProfessor of Biomed Eng & Biomed Inform, Emory University and Georgia Institute of TechnologyПотвърден имейл адрес: physionet.org
