| Detecting Changes in Retinal Function: Analysis with Non-Stationary Weibull Error Regression and Spatial Enhancement (ANSWERS) H Zhu, RA Russell, LJ Saunders, S Ceccon, DF Garway-Heath, DP Crabb PloS one 9 (1), e85654, 2014 | 76 | 2014 |
| Detecting changes in retinal function: analysis with non-stationary Weibull error regression and spatial enhancement (ANSWERS) H Zhu, RA Russell, LJ Saunders, S Ceccon, DF Garway-Heath, DP Crabb PloS one 9 (1), e85654, 2014 | 76 | 2014 |
| Motion analysis of front crawl swimming applying CAST technique by means of automatic tracking S Ceccon, E Ceseracciu, Z Sawacha, G Gatta, M Cortesi, C Cobelli, ... Journal of Sports Sciences 31 (3), 276-287, 2013 | 53 | 2013 |
| Exploring early glaucoma and the visual field test: classification and clustering using Bayesian networks S Ceccon, DF Garway-Heath, DP Crabb, A Tucker IEEE journal of biomedical and health informatics 18 (3), 1008-1014, 2013 | 37 | 2013 |
| Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait. E Ceseracciu, Z Sawacha, S DEL DIN, S Ceccon, S Corazza, C Cobelli Gait & Posture 30, 14-15, 2009 | 11 | 2009 |
| The dynamic stage bayesian network: identifying and modelling key stages in a temporal process S Ceccon, D Garway-Heath, D Crabb, A Tucker Advances in Intelligent Data Analysis X: 10th International Symposium, IDA …, 2011 | 6 | 2011 |
| Non-stationary clustering bayesian networks for glaucoma S Ceccon, D Garway-Heath, D Crabb, A Tucker Proceedings of the Workshop on Machine Learning for Clincial Data Analysis, ICML, 2012 | 5 | 2012 |
| Trajectories through the disease process: cross sectional and longitudinal studies A Tucker, Y Li, S Ceccon, S Swift Foundations of biomedical knowledge representation: Methods and applications …, 2015 | 3 | 2015 |
| Investigations of clinical metrics and anatomical expertise with Bayesian network models for classification in early glaucoma S Ceccon, D Garway-Heath, D Crabb, A Tucker Intelligent Data Analysis in Biomedicine and Pharmacology (IDAMAP 2010), 2010 | 3 | 2010 |
| Combining Expertise-Driven and Semi-Supervised Bayesian Networks for Classification of Early Glaucoma S Ceccon, D Garway-Heath, D Crabb, A Tucker ECML PKDD 2010 (European Conference on Machine Learning and Principles and …, 2010 | 1 | 2010 |
| Normative data for optic disc vertical cup-to-disc ratio and intraocular pressure in London 2012 competitors and support teams P D'Ath, S Ceccon, W Thomson, CM Wilson BAOJ Ophthalmology 1 (2), 2017 | | 2017 |
| Distribution of mean refractive error for London 2012 competitors and support teams M Nagra, C Wilson, S Ceccon, WD Thomson, PJ D’Ath Investigative Ophthalmology & Visual Science 57 (12), 3983-3983, 2016 | | 2016 |
| Tell us where you live and we will tell you something about your glaucoma DP Crabb, RA Russell, S Ceccon Investigative Ophthalmology & Visual Science 55 (13), 845-845, 2014 | | 2014 |
| Extending Bayesian network models for mining and classification of glaucoma S Ceccon School of Information Systems, Computing and Mathematics, 2013 | | 2013 |
| Motion analysis of front crawl swimming: Application of CAST technique for the estimation of 3D joint kinematics S Fantozzi, S Ceccon, Z Sawacha, M Cortesi, C Cobelli, G Gatta Book of Abstracts XII International Symposium on 3D Analysis of Human …, 2012 | | 2012 |
| Ensembles of Bayesian Network Classifiers Using Glaucoma Data and Expertise S Ceccon, D Garway-Heath, D Crabb, A Tucker Ensembles in Machine Learning Applications, 133-150, 2011 | | 2011 |
| Application of cast technique to 3d motion analysis of front crawl swimming E Ceseracciu, S Ceccon, Z Sawacha, S Fantozzi, G Gatta, M Cortesi, ... XIth International Symposium on Biomechanics and Medicine in Swimming, 91-91, 2010 | | 2010 |
| No Author Given Part II Diagnosis of disease F Orihuela-Espina, P Lucas, M Velikova, I Dutra, ES Burnside, A Onisko, ... | | |
| Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies Y Li, S Ceccon, S Swift, A Tucker | | |
