November 29, 2021
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Automatic localization of the epileptogenic zone: network and machine learning analysis of interictal stereo-EEG
Publicated to:Epilepsia. 62 194-195 - 2021-11-01 62(), DOI:
Authors: Varotto, G; Susi, G; Panzica, F; Tassi, L; Duran, D; Franceschetti, S; Gozzo, F; Spreafico, R
Affiliations
Fdn IRCCS Ist Neurol Carlo Besta, Bioengn Grp, Epilepsy Unit, Milan, Italy - Author
Fdn IRCCS Ist Neurol Carlo Besta, Clin Engn, Milan, Italy - Author
Fdn IRCCS Ist Neurol Carlo Besta, Neurophysiopathol Unit, Milan, Italy - Author
Osped Niguarda Ca Granda, Claudio Munari Epilepsy Surg Ctr, Milan, Italy - Author
Tech Univ Madrid, Ctr Biomed Technol, UPM UCM Lab Cognit & Computat Neurosci, Madrid, Spain - Author
Univ Complutense Madrid, Dept Expt Psychol Cognit Proc & Logopedy, Madrid, Spain - Author
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Abstract
Keywords
Astronomia / físicaBiotecnologíaCiência da computaçãoCiências biológicas iCiências biológicas iiClinical neurologyEducação físicaEngenharias ivEnsinoGeneral medicineInterdisciplinarMedicina iMedicina iiMedicina iiiNeurologyNeurology (clinical)PsicologíaSaúde coletiva
Quality index
Bibliometric impact. Analysis of the contribution and dissemination channel
The work has been published in the journal Epilepsia due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position 27/212, thus managing to position itself as a Q1 (Primer Cuartil), in the category Clinical Neurology.
Leadership analysis of institutional authors
This work has been carried out with international collaboration, specifically with researchers from: Italy.