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Author Details
Full Name
Panayiotis Petousis
Affiliation
university of california los angeles Clinical and Translational Science Institute
ORCID
Career Start Year
2016
Papers
9
H Index
4
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
38000765
Towards a framework for interoperability and reproducibility of predictive models.
J Biomed Inform
2024
38000765
Towards a framework for interoperability and reproducibility of predictive models.
J Biomed Inform
2024
34604740
TSI-GNN: Extending Graph Neural Networks to Handle Missing Data in Temporal Settings.
Front Big Data
2021
34891747
Autopopulus: A Novel Framework for Autoencoder Imputation on Large Clinical Datasets.
Annu Int Conf IEEE Eng Med Biol Soc
2021
34604740
TSI-GNN: Extending Graph Neural Networks to Handle Missing Data in Temporal Settings.
Front Big Data
2021
34891747
Autopopulus: A Novel Framework for Autoencoder Imputation on Large Clinical Datasets.
Annu Int Conf IEEE Eng Med Biol Soc
2021
30844074
Clinical course and outcome after kidney transplantation in patients with C3 glomerulonephritis due to CFHR5 nephropathy.
Nephrol Dial Transplant
2019
32754420
Using Sequential Decision Making to Improve Lung Cancer Screening Performance.
IEEE Access
2019
30844074
Clinical course and outcome after kidney transplantation in patients with C3 glomerulonephritis due to CFHR5 nephropathy.
Nephrol Dial Transplant
2019
31363717
Generating Reward Functions Using IRL Towards Individualized Cancer Screening.
Artif Intell Health (2018)
2019
32754420
Using Sequential Decision Making to Improve Lung Cancer Screening Performance.
IEEE Access
2019
31363717
Generating Reward Functions Using IRL Towards Individualized Cancer Screening.
Artif Intell Health (2018)
2019
30815191
Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models.
AMIA Annu Symp Proc
2018
30815191
Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models.
AMIA Annu Symp Proc
2018
28038345
A Bayesian model for estimating multi-state disease progression.
Comput Biol Med
2017
28038345
A Bayesian model for estimating multi-state disease progression.
Comput Biol Med
2017
27664507
Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network.
Artif Intell Med
2016
27664507
Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network.
Artif Intell Med
2016
1 - 18 of 18
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row(s) 1 - 30 of 30
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Alex A T Bui
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Co-authored papers
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Co-authored papers
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Co-authored papers
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David Geffen School of Medicine at university of california los angeles
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Co-authored papers
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University of California Los Angeles
Co-authored papers
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University of California Los Angeles
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Co-authored papers
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University of Montpellier, Clinical Reasearch University Institute
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Fielding School of Public Health, University of California Los Angeles
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University of California los angeles
Co-authored papers
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Anders O Garlid
University of California Los Angeles (university of california los angeles)
Co-authored papers
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Majid Sarrafzadeh
University of California los angeles
Co-authored papers
1
Ali Mosleh
B. John Garrick Institute for the Risk Sciences, University of California los angeles
Co-authored papers
1
Frank Meng
VA Boston Healthcare System
Co-authored papers
1
William Speier
University of California los angeles
Co-authored papers
1
1 - 19