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Virtual reality and machine learning in the automatic photoparoxysmal response detection

Author:
Moncada, F.; Martín, Sofía; González, V. M.; Álvarez García, Víctor ManuelUniovi authority; García López, B.; Gómez Menéndez, A. I.; Villar Flecha, José RamónUniovi authority
Publication date:
2023
Publisher version:
http://dx.doi.org/10.1007/s00521-022-06940-z
Citación:
Neural Computing and Applications, 35, p. 5643-5659 (2023); doi:10.1007/s00521-022-06940-z
Descripción física:
p. 5643-5659
URI:
http://hdl.handle.net/10651/65145
ISSN:
0941-0643
DOI:
10.1007/s00521-022-06940-z
Local Notes:

OA ATUO22

Patrocinado por:

This research has been funded by the Spanish Ministry of Science and Innovation under project MINECO-TIN2017-84804-R, PID2020-112726RB-I00 and the State Research Agency (AEI, Spain) under grant agreement No RED2018-102312-T (IA-Biomed). Additionally, by the Council of Gijón through the University Institute of Industrial Technology of Asturias grant SV-21-GIJON-1-19.

Id. Proyecto:

MINECO-TIN2017-84804-R

MICINN/PID2020-112726RB-I00

AEI/RED2018-102312-T

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