Ahmed M. Alaa

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Mihaela van der SchaarUniversity of Cambridge, The Alan Turing Institute, UCLAVerified email at ee.ucla.edu
Jinsung YoonResearch Scientist at Google Cloud AIVerified email at google.com
Ioana BicaPhD Student, University of Oxford, The Alan Turing InstituteVerified email at eng.ox.ac.uk
William ZameProfessor of Economics, UCLAVerified email at econ.ucla.edu
Mahmoud H. IsmailProfessor of Electrical Engineering at American University of Sharjah, Cairo UniversityVerified email at aus.edu
Martin CadeirasUniversity of California DavisVerified email at ucdavis.edu
James H. F. RuddCambridge UniversityVerified email at cam.ac.uk
Emanuele Di AngelantonioUniversity of CambridgeVerified email at medschl.cam.ac.uk
Amitava BanerjeeAssociate Professor in Clinical Data Science, University College LondonVerified email at ucl.ac.uk
Ari ErcoleUniversity of CambridgeVerified email at cam.ac.uk
James JordonPhD Student, University of OxfordVerified email at wolfson.ox.ac.uk
Changhee LeeUniversity of California, Los AngelesVerified email at ucla.edu
Bryan LimPhD Student, University of OxfordVerified email at robots.ox.ac.uk
Kartik AhujaPostdoctoral fellow, MilaVerified email at ucla.edu
R. Andres FlotoUniversity of CambridgeVerified email at cam.ac.uk
William HsuAssociate Professor of Radiological Sciences, Bioinformatics, and Bioengineering, UCLAVerified email at mednet.ucla.edu
Daniel JarrettUniversity of CambridgeVerified email at maths.cam.ac.uk
P. Lió, Pietro Lio, P. Lio, Pietro Liò, Pie...University of CambridgeVerified email at cam.ac.uk
Angela WoodUniversity of CambridgeVerified email at medschl.cam.ac.uk
Eoin McKinneyUniversity of Cambridge, Department of MedicineVerified email at cam.ac.uk

Ahmed M. Alaa

University of California, Los Angeles (UCLA)

Verified email at ucla.edu

Machine Learning AI for Medicine Deep Learning Statistics Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes AM Alaa, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 3424-3432, 2017	124	2017
Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants AM Alaa, T Bolton, E Di Angelantonio, JHF Rudd, M van der Schaar PloS one 14 (5), e0213653, 2019	110	2019
Deep multi-task gaussian processes for survival analysis with competing risks AM Alaa, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 2326-2334, 2017	59	2017
Limits of estimating heterogeneous treatment effects: Guidelines for practical algorithm design A Alaa, M Schaar International Conference on Machine Learning (ICML), 129-138, 2018	48	2018
Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes AM Alaa, J Yoon, S Hu, M van der Schaar IEEE Transactions on Biomedical Engineering, 2016	44	2016
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks B Lim, A Alaa, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 7493-7503, 2018	42	2018
Deep Counterfactual Networks with Propensity-Dropout AM Alaa, M Weisz, M van der Schaar ICML 2017 - Workshop on Principled Approaches to Deep Learning, 2017	40	2017
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission J Yoon, AM Alaa, S Hu, M van der Schaar International Conference on Machine Learning (ICML), 1680-1689, 2016	40	2016
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations I Bica, AM Alaa, J Jordon, M van der Schaar International Conference on Learning Representations (ICLR), 2020	37	2020
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning AM Alaa, M van der Schaar International Conference on Machine Learning (ICML), 2018	37	2018
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis AM Alaa, S Hu, M van der Schaar International Conference on Machine Learning (ICML), 60-69, 2017	36	2017
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening AM Alaa, KH Moon, W Hsu, M van der Schaar IEEE Transactions on Multimedia, 2016	34	2016
Attentive state-space modeling of disease progression AM Alaa, M van der Schaar Advances in Neural Information Processing Systems (NeurIPS), 11334-11344, 2019	32	2019
From real‐world patient data to individualized treatment effects using machine learning: Current and future methods to address underlying challenges I Bica, AM Alaa, C Lambert, M van der Schaar Clinical Pharmacology and Therapeutics, 2020	29	2020
Validating Causal Inference Models via Influence Functions A Alaa, M Van Der Schaar International Conference on Machine Learning (ICML), 191-201, 2019	28	2019
Between-centre differences for COVID-19 ICU mortality from early data in England Z Qian, AM Alaa, M van Der Schaar, A Ercole Intensive Care Medicine (ICM), 2020	27	2020
Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation J Yoon, WR Zame, A Banerjee, M Cadeiras, AM Alaa, M van der Schaar PloS one 13 (3), e0194985, 2018	27	2018
Prognostication and risk factors for cystic fibrosis via automated machine learning AM Alaa, M van der Schaar Nature Scientific reports 8 (1), 1-19, 2018	25	2018
Bayesian nonparametric causal inference: Information rates and learning algorithms AM Alaa, M van der Schaar IEEE Journal of Selected Topics in Signal Processing, 2017	25	2017
Lifelong Bayesian Optimization Y Zhang, J Jordon, AM Alaa, M van der Schaar arXiv preprint arXiv:1905.12280, 2019	23*	2019

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