Comparing and Explaining Deep-learning Torsional Nystagmus Detection (P2-11.011)

To determine the accuracy with which deep learning video-based models detect torsional nystagmus and explain their predictions.

Authors

Amir Kheradmand (ORCID: https://orcid.org/0000-0002-3630-3949)
Joseph L. Greenstein
Casey Overby Taylor (ORCID: https://orcid.org/0000-0001-9302-5968)
Krishna Mukunda (ORCID: https://orcid.org/0009-0004-4908-6404)
Kemar E. Green (ORCID: https://orcid.org/0000-0003-1112-7325)
Nikita Sivakumar (ORCID: https://orcid.org/0000-0002-5140-6188)
Asimina Zoitou
Yi Luo (ORCID: https://orcid.org/0009-0007-6817-9173)
JiWon Woo
Tianyi Ye (ORCID: https://orcid.org/0009-0003-9609-088X)
Richa Singh
Kyungmin Kwon

Institutions

Johns Hopkins University (US)
Johns Hopkins Medicine (US)

Publication Details

Journal: Neurology
Published: 2025-04-07
DOI: https://doi.org/10.1212/wnl.0000000000211281
Citations: 1
Primary Topic: EEG and Brain-Computer Interfaces
Type: article
Field-Weighted Citation Impact: 1.43

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article

Comparing and Explaining Deep-learning Torsional Nystagmus Detection (P2-11.011)

Amir Kheradmand, Joseph L. Greenstein, Casey Overby Taylor, Krishna Mukunda et al.

Apr 7, 2025

1 citations

Neurology

EEG and Brain-Computer Interfaces

1.43

article

Comparing and Explaining Deep-learning Torsional Nystagmus Detection (P2-11.011)

Amir Kheradmand, Joseph L. Greenstein, Casey Overby Taylor, Krishna Mukunda, Kemar E. Green, Nikita Sivakumar, Asimina Zoitou, Yi Luo, JiWon Woo, Tianyi Ye, Richa Singh, Kyungmin Kwon

April 7, 2025article en

1 citations

Abstract

To determine the accuracy with which deep learning video-based models detect torsional nystagmus and explain their predictions.

NeurologyVol. 104(7_Supplement_1)

Johns Hopkins University (US), Johns Hopkins Medicine (US)

Gender equality, Reduced inequalities

Openalex Percentile: Top 21%

EEG and Brain-Computer Interfaces

1.43

DOI Source OpenAlex

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Comparing and Explaining Deep-learning Torsional Nystagmus Detection (P2-11.011) — Amir Kheradmand, Joseph L. Greenstein, et al. · Neurology (2025) | TGRS Research Map | TGRS