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Adler J Perotte

Showing results (1-10 of 11) with videos related to

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Advances in Neural Information Processing Systems|May 6, 2021
Causal Estimation with Functional ConfoundersAahlad Puli, Adler J Perotte, Rajesh Ranganath
Kidney International Reports|July 19, 2019
Deep Vision: Learning to Identify Renal Disease With Neural NetworksNishanth P Pavinkurve, Karthik Natarajan, Adler J Perotte
Neural Networks : the Official Journal of the International Neural Network Society|November 2, 2005
Methods for reducing interference in the Complementary Learning Systems model: oscillating inhibition and autonomous memory rehearsalKenneth A Norman, Ehren L Newman, Adler J Perotte
Journal of Biomedical Informatics|August 11, 2020
The Counterfactual χ-GAN: Finding comparable cohorts in observational health dataAmelia J Averitt, Natnicha Vanitchanant, Rajesh Ranganath, et al.
Advances in Neural Information Processing Systems|May 21, 2021
X-CAL: Explicit Calibration for Survival AnalysisMark Goldstein, Xintian Han, Aahlad Puli, et al.
Advances in Neural Information Processing Systems|July 21, 2022
Inverse-Weighted Survival GamesXintian Han, Mark Goldstein, Aahlad Puli, et al.
Journal of Biomedical Informatics|October 15, 2015
Learning probabilistic phenotypes from heterogeneous EHR dataRimma Pivovarov, Adler J Perotte, Edouard Grave, et al.
JAMIA Open|July 2, 2020
Characterizing non-heroin opioid overdoses using electronic health recordsAmelia J Averitt, Benjamin H Slovis, Abdul A Tariq, et al.
Plos One|February 18, 2017
Elevated GM3 plasma concentration in idiopathic Parkinson's disease: A lipidomic analysisRobin B Chan, Adler J Perotte, Bowen Zhou, et al.
Journal of the American College of Cardiology|August 4, 2022
Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart DiseasePierre Elias, Timothy J Poterucha, Vijay Rajaram, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Advances in Neural Information Processing Systems|May 6, 2021
Causal Estimation with Functional ConfoundersAahlad Puli, Adler J Perotte, Rajesh Ranganath
Kidney International Reports|July 19, 2019
Deep Vision: Learning to Identify Renal Disease With Neural NetworksNishanth P Pavinkurve, Karthik Natarajan, Adler J Perotte
Neural Networks : the Official Journal of the International Neural Network Society|November 2, 2005
Methods for reducing interference in the Complementary Learning Systems model: oscillating inhibition and autonomous memory rehearsalKenneth A Norman, Ehren L Newman, Adler J Perotte
Journal of Biomedical Informatics|August 11, 2020
The Counterfactual χ-GAN: Finding comparable cohorts in observational health dataAmelia J Averitt, Natnicha Vanitchanant, Rajesh Ranganath, et al.
Advances in Neural Information Processing Systems|May 21, 2021
X-CAL: Explicit Calibration for Survival AnalysisMark Goldstein, Xintian Han, Aahlad Puli, et al.
Advances in Neural Information Processing Systems|July 21, 2022
Inverse-Weighted Survival GamesXintian Han, Mark Goldstein, Aahlad Puli, et al.
Journal of Biomedical Informatics|October 15, 2015
Learning probabilistic phenotypes from heterogeneous EHR dataRimma Pivovarov, Adler J Perotte, Edouard Grave, et al.
JAMIA Open|July 2, 2020
Characterizing non-heroin opioid overdoses using electronic health recordsAmelia J Averitt, Benjamin H Slovis, Abdul A Tariq, et al.
Plos One|February 18, 2017
Elevated GM3 plasma concentration in idiopathic Parkinson's disease: A lipidomic analysisRobin B Chan, Adler J Perotte, Bowen Zhou, et al.
Journal of the American College of Cardiology|August 4, 2022
Deep Learning Electrocardiographic Analysis for Detection of Left-Sided Valvular Heart DiseasePierre Elias, Timothy J Poterucha, Vijay Rajaram, et al.
Pageof 2