Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Predicting Alzheimer’s Disease and Mild Cognitive Impairment with Off-line and On-line House Drawing Tests
HOSSEINI KIVANANI, Nina; Salobrar-García, Elena; Elvira-Hurtado, Lorena et al.
2024In 2024 IEEE 20th International Conference on e-Science (e-Science)
Peer reviewed
 

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Disciplines :
Computer science
Author, co-author :
HOSSEINI KIVANANI, Nina  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Salobrar-García, Elena;  Universidad Complutense of Madrid,Ramon Castroviejo Institute of Ophthalmologic Research,Spain
Elvira-Hurtado, Lorena;  Universidad Complutense of Madrid,Ramon Castroviejo Institute of Ophthalmologic Research,Spain
Salas, Mario;  Hospital Clínico San Carlos,Memory Unit, Geriatrics Service,Madrid,Spain
SCHOMMER, Christoph  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
LEIVA, Luis A.  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
yes
Language :
English
Title :
Predicting Alzheimer’s Disease and Mild Cognitive Impairment with Off-line and On-line House Drawing Tests
Publication date :
16 September 2024
Event name :
e-Science
Event place :
Osaka, Japan
Event date :
16--20
Audience :
International
Main work title :
2024 IEEE 20th International Conference on e-Science (e-Science)
Publisher :
IEEE
ISBN/EAN :
979-8-3503-6561-0
Pages :
1--10
Peer reviewed :
Peer reviewed
Funding text :
Work supported by the UCM research group (Grupo de Investigación básica en Ciencias de la Visión del IIORC, UCM-GR17-920105), the Horizon 2020 FET program of the European Union (grant CHIST-ERA-20-BCI-001), and the European Innovation Council Pathfinder program (grant 101071147).
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