Author

Yotam Erel

Tel Aviv UniversityORCID 0000-0001-8319-5111Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Amit Haim BermanoiD· 2 shared Sagi Jaffe‐DaxiD· 2 shared Lauren L. EmbersoniD· 1 shared Yaara YeshuruniD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersNeuroscience

Amit Haim BermanoORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintDec 29, 2020

STORM-Net: Simple and Timely Optode Registration Method for Functional Near-Infrared Spectroscopy (fNIRS)

Yotam Erel, Sagi Jaffe‐Dax, Yaara Yeshurun, Amit Haim Bermano

STORM-Net provides a fast, automatic, and hardware-free method for registering fNIRS optodes to the scalp, validated on adults and infants with comparable accuracy to existing methods.

20 citations

humanimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintJul 10, 2020

Video-based motion-resilient reconstruction of 3D position for fNIRS and EEG head mounted probes

Sagi Jaffe‐Dax, Amit Haim Bermano, Yotam Erel, Lauren L. Emberson

This paper introduces a video-based method to estimate probe positions on the scalp for EEG and fNIRS, showing it is reliable, fast, and suitable for infants.

1 citation

humanelectronic health records

𝕏 PostBluesky