David A. Clifton - Concepedia

Author

David A. Clifton

Also Known As

Acquah, Aidan, Brenner, Jacqueline, Chan, Kannie W. Y., Charlotte K. Williams, Clifton, DA, Clifton, David, Clifton, David A, Clifton, David A., D A Clifton, D Clifton

451

Publications

13.8K

Citations

H-Index

284

Concepts

All Affiliations

University of Oxford Oxford University Hospitals NHS Trust Suzhou Research Institute John Radcliffe Hospital Science Oxford

About

David A. Clifton is an author at University of Oxford specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	30	57	3.7K
2	Health Sciences	12	13	891
3	Business	4	4	174
4	Education	4	4	239
5	Management	3	3	84

David A. Clifton

156

Publications

8.7K

Citations

H-Index

Page 1

	Year	Citations
Multimodal Learning With Transformers: A Survey Peng Xu, Xiatian Zhu, David A. Clifton IEEE Transactions on Pattern Analysis and Machine Intelligence Multimodal LlmMachine VisionMachine LearningData ScienceImage Analysis	2023	757
Non-contact video-based vital sign monitoring using ambient light and auto-regressive models Lionel Tarassenko, Mauricio Villarroel, Alessandro Guazzi, Physiological Measurement Medical MonitoringEngineeringMeasurementRemote Patient MonitoringBiometrics	2014	410
An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram Peter Charlton, Timothy Bonnici, Lionel Tarassenko, Physiological Measurement	2016	354
Signal Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring Christina Orphanidou, Timothy Bonnici, Peter Charlton, IEEE Journal of Biomedical and Health Informatics EngineeringMeasurementRemote Patient MonitoringWearable TechnologyHuman Monitoring	2014	352
Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters Marco A. F. Pimentel, Alistair E. W. Johnson, Peter Charlton, IEEE Transactions on Biomedical Engineering	2016	336
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI Baptiste Vasey, Myura Nagendran, Bruce Campbell, BMJ	2022	283
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Proceedings of the AAAI Conference on Artificial Intelligence Machine LearningMtgp ModelPrognosisDiagnosisIllness Assessment	2015	186
The correlation between baseline score and post-intervention score, and its implications for statistical analysis Lei Clifton, David A. Clifton Trials	2019	174
Multitask Gaussian Processes for Multivariate Physiological Time-Series Analysis Robert Dürichen, Marco A. F. Pimentel, Lei Clifton, IEEE Transactions on Biomedical Engineering EngineeringMachine LearningData SciencePredictive AnalyticsGaussian Process	2014	155
Predicting atrial fibrillation in primary care using machine learning Nathan R. Hill, Daniel Ayoubkhani, Phil McEwan, PLoS ONE	2019	141

Page 1