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DELMEP : a deep learning algorithm for automated annotation of motor evoked potential latencies

Year of publication

2023

Authors

Milardovich, Diego; Souza, Victor H.; Zubarev, Ivan; Tugin, Sergei; Nieminen, Jaakko O.; Bigoni, Claudia; Hummel, Friedhelm C.; Korhonen, Juuso T.; Aydogan, Dogu B.; Lioumis, Pantelis; Taherinejad, Nima; Grasser, Tibor; Ilmoniemi, Risto J.

Organizations and authors

Aalto University

Aydogan Baran Orcid -palvelun logo

Milardovich Diego

Zubarev Ivan Orcid -palvelun logo

Nieminen Jaakko Orcid -palvelun logo

Korhonen Juuso Orcid -palvelun logo

Lioumis Pantelis Orcid -palvelun logo

Ilmoniemi Risto Orcid -palvelun logo

Tugin Sergei

Souza Victor Orcid -palvelun logo

University of Helsinki

Milardovich Diego

Nieminen Jaakko O.

Lioumis Pantelis

Ilmoniemi Risto J.

Tugin Sergei

Souza Victor H.

University of Eastern Finland

Aydogan Dogu Baran

Helsinki University Hospital Catchment Area

Milardovich Diego

Nieminen Jaakko O.

Lioumis Pantelis

Ilmoniemi Risto J.

Tugin Sergei

Souza Victor H.

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Parent publication name

Scientific Reports

Volume

13

Issue

1

Article number

8225

​Publication forum

71431

​Publication forum level

1

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Yes

Article processing fee (EUR)

2659

Other information

Fields of science

Computer and information sciences; Medical engineering; Biomedicine; Neurosciences; Surgery, anesthesiology, intensive care, radiology

Keywords

[object Object],[object Object],[object Object],[object Object]

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1038/s41598-023-34801-9

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes