Gari Clifford

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Qiao LiPostdoctoral Research Fellow in IBME, Dept. Engineering Science, University of OxfordEmail confirmado em eng.ox.ac.uk
Reza SameniAssociate Professor, Emory University and Georgia Institute of TechnologyEmail confirmado em dbmi.emory.edu
Shamim NematiUCSDEmail confirmado em ucsd.edu
Joachim A. BeharAssociate Professor, Technion-IITEmail confirmado em technion.ac.il
Julien OsterInserm, FranceEmail confirmado em inserm.fr
Lionel TarassenkoProfessor of Electrical Engineering, University of OxfordEmail confirmado em eng.ox.ac.uk
Amit ShahAssistant Professor, Emory UniversityEmail confirmado em emory.edu
Chengyu LiuProfessor in Southeast University, ChinaEmail confirmado em sdu.edu.cn
Patrick McSharryUniversity of OxfordEmail confirmado em maths.ox.ac.uk
Matthew A ReynaEmory UniversityEmail confirmado em emory.edu
Alistair JohnsonEmail confirmado em mit.edu
Salman SeyediPhD Candidate, Arizona State UniversityEmail confirmado em asu.edu
Ikaro SilvaSenior Scientist at PhilipsEmail confirmado em philips.com
Li-wei H. LehmanMassachusetts Institute of TechnologyEmail confirmado em mit.edu
David SpringerDphil Researcher, University of OxfordEmail confirmado em eng.ox.ac.uk
Mauricio VillarroelAssociate Professor of Biomedical Engineering at University of OxfordEmail confirmado em eng.ox.ac.uk
Tingting ZhuAssociate Professor, University of OxfordEmail confirmado em eng.ox.ac.uk
David A. CliftonChair of Clinical Machine Learning, University of OxfordEmail confirmado em eng.ox.ac.uk
Supreeth P ShashikumarResearch ScientistEmail confirmado em health.ucsd.edu
Fernando AndreottiData and ML EngineerEmail confirmado em ufmg.br

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Gari Clifford

Professor of Biomed Eng & Biomed Inform, Emory University and Georgia Institute of Technology

Email confirmado em physionet.org - Página inicial

Signal Processing Machine Learning mHealth Affordable Healthcare


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
A dynamical model for generating synthetic electrocardiogram signals PE McSharry, GD Clifford, L Tarassenko, LA Smith IEEE transactions on biomedical engineering 50 (3), 289-294, 2003	1629	2003
Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database M Saeed, M Villarroel, AT Reisner, G Clifford, LW Lehman, G Moody, ... Critical care medicine 39 (5), 952-960, 2011	1376	2011
Advanced methods and tools for ECG data analysis GD Clifford, F Azuaje, PE McSharry Cambridge, Massachusetts, 384, 2006	1272	2006
AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017 GD Clifford, C Liu, B Moody, HL Li-wei, I Silva, Q Li, AE Johnson, RG Mark 2017 Computing in Cardiology (CinC), 1-4, 2017	863	2017
An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU S Nemati, A Holder, F Razmi, MD Stanley, GD Clifford, TG Buchman Critical Care Medicine 46 (4), 547-553, 2018	722	2018
An open access database for the evaluation of heart sound algorithms C Liu, D Springer, Q Li, B Moody, RA Juan, FJ Chorro, F Castells, JM Roig, ... Physiological measurement 37 (12), 2181, 2016	710	2016
A nonlinear Bayesian filtering framework for ECG denoising R Sameni, MB Shamsollahi, C Jutten, GD Clifford IEEE transactions on Biomedical Engineering 54 (12), 2172-2185, 2007	664	2007
Logistic regression-HSMM-based heart sound segmentation DB Springer, L Tarassenko, GD Clifford IEEE transactions on biomedical engineering 63 (4), 822-832, 2015	577	2015
Automated De-Identification of Free-Text Medical Records I Neamatullah, MM Douglass, HL Li-wei, A Reisner, M Villarroel, WJ Long, ... BMC medical informatics and decision making 8 (32), 2008	528	2008
A review of fetal ECG signal processing; issues and promising directions R Sameni, GD Clifford The open pacing, electrophysiology & therapy journal 3, 4, 2010	519	2010
Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter Q Li, RG Mark, GD Clifford Physiological measurement 29 (1), 15, 2007	495	2007
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment MA aendel, CG Chute, TD Bennett, DA Eichmann, J Guinney, WA Kibbe, ... Journal of the American Medical Informatics Association 28 (3), 427-443, 2021	475	2021
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020 EAP Alday, A Gu, AJ Shah, C Robichaux, AKI Wong, C Liu, F Liu, AB Rad, ... Physiological Measurement 41 (12), 124003, 2020	441	2020
Machine learning and decision support in critical care AEW Johnson, MM Ghassemi, S Nemati, KE Niehaus, DA Clifton, ... Proceedings of the IEEE 104 (2), 444-466, 2016	435	2016
Signal Quality Indices and Data Fusion for Determining Acceptability of Electrocardiograms Collected in Noisy Ambulatory Environments GD Clifford, D Lopez, Q Li, I Rezek Computing in Cardiology, 285-8, 2011	396*	2011
Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019 MA Reyna, CS Josef, R Jeter, SP Shashikumar, B Westover, S Nemati, ... Critical Care Medicine 48 (2), 210-217, 2020	380	2020
Quantifying errors in spectral estimates of HRV due to beat replacement and resampling GD Clifford, L Tarassenko IEEE transactions on biomedical engineering 52 (4), 630-638, 2005	363	2005
ECG Signal Quality During Arrhythmia and its Application to False Alarm Reduction J Behar, J Oster, Q Li, GD Clifford Transactions on Biomedical Engineering 60 (6), 1660-1666, 2013	340	2013
Application of independent component analysis in removing artefacts from the electrocardiogram T He, G Clifford, L Tarassenko Neural Computing & Applications 15, 105-116, 2006	340	2006
Ventricular fibrillation and tachycardia classification using a machine learning approach Q Li, C Rajagopalan, GD Clifford IEEE Transactions on Biomedical Engineering 61 (6), 1607-1613, 2013	338	2013

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