Author

Paroma Varma

Stanford UniversityORCID 0000-0002-9035-2506Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Antonio H. Lara· 1 shared Avgusta Y. ShestyukiD· 1 shared Bradley VoytekiD· 1 shared Christopher RéiD· 1 shared Erik J PetersoniD· 1 shared Euan Angus AshleyiD· 1 shared Heliodoro TejedaiD· 1 shared Henry ChubbiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Antonio H. Lara

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2 papers

Recent·Most cited

NeuroscienceNature NeurosciencePeer-reviewedNov 23, 2020

✦ In-depth digest

Parameterizing neural power spectra

Thomas Donoghue, Matar Haller, Erik J Peterson…·Bradley Voytek

An open-source Python algorithm decomposes neural power spectra into a dynamic aperiodic 1/f background and Gaussian oscillatory peaks without requiring predefined canonical frequency bands.

2,286 citationstop 1%

electronic health recordsstatistical model

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BioinformaticsNature CommunicationsPeer-reviewedJul 15, 2019

Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences

Jason Fries, Paroma Varma, Vincent S. Chen…·James Rush Priest

This paper develops a weakly supervised deep learning model to classify aortic valve malformations using unlabeled cardiac MRI sequences, showing improved performance over supervised models.

103 citationstop 5%

humanimaging

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