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2020 – today
- 2024
[j6]Hernan Hernandez
, Sandra Baez, Vicente Medel, Sebastian Moguilner, Jhosmary Cuadros, Hernando Santamaría-García, Enzo Tagliazucchi, Pedro A. Valdés-Sosa, Francisco Lopera, John Fredy Ochoa-Gómez, Alfredis González-Hernández, Jasmin Bonilla-Santos, Rodrigo A. Gonzalez-Montealegre, Tuba Aktürk, Ebru Yildirim, Renato Anghinah, Agustina Legaz, Sol Fittipaldi, Görsev Yener, Javier Escudero, Claudio Babiloni, Susanna Lopez, Robert Whelan, Alberto A Fernández Lucas, Adolfo M. García, David Huepe, Gaetano Di Caterina, Marcio Soto-Añari, Agustina Birba, Agustin Sainz-Ballesteros, Carlos Coronel-Oliveros, Eduar Herrera, Daniel Abásolo, Kerry Kilborn, Nicolás Rubido, Ruaridh A. Clark, Rubén Herzog, Deniz Yerlikaya, Bahar Güntekin, Mario A. Parra, Pavel Prado, Agustín Ibáñez:
Brain health in diverse settings: How age, demographics and cognition shape brain function. NeuroImage 295: 120636 (2024)- 2022
- [c4]Rachel Drage, Javier Escudero, Mario A. Parra, Brian Scally, Renato Anghinah, Amanda Vitória Lacerda De Araújo, Luis F. Basile, Daniel Abásolo:
A novel deep learning approach using AlexNet for the classification of electroencephalograms in Alzheimer's Disease and Mild Cognitive Impairment. EMBC 2022: 3175-3178
2010 – 2019
- 2019
- [c3]Guilherme Tavares, Rodrigo San-Martin, Jéssica N. Ianof, Renato Anghinah, Francisco J. Fraga:
Improvement in the automatic classification of Alzheimer's disease using EEG after feature selection. SMC 2019: 1264-1269 - 2017
- [j5]Raymundo Cassani, Tiago H. Falk, Francisco J. Fraga, Marco Cecchi, Dennis K. Moore, Renato Anghinah:
Towards automated electroencephalography-based Alzheimer's disease diagnosis using portable low-density devices. Biomed. Signal Process. Control. 33: 261-271 (2017) - 2015
- [p1]Jair Minoro Abe, Helder Frederico da Silva Lopes, Renato Anghinah:
Paraconsistent Neurocomputing and Biological Signals Analysis. Paraconsistent Intelligent-Based Systems 2015: 273-306 - 2014
- [j4]Tiago H. Falk, Francisco J. Fraga, Lucas Trambaiolli, Renato Anghinah:
Correction: EEG amplitude modulation analysis for semi-automated diagnosis of Alzheimer's disease. EURASIP J. Adv. Signal Process. 2014: 49 (2014) - 2013
- [c2]Francisco J. Fraga, Tiago H. Falk, Lucas Trambaiolli, Eliezyer F. Oliveira, Walter H. L. Pinaya, Paulo A. M. Kanda, Renato Anghinah:
Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features. ICASSP 2013: 1207-1211 - 2012
- [j3]Tiago H. Falk, Francisco J. Fraga, Lucas Trambaiolli, Renato Anghinah:
EEG Amplitude Modulation Analysis for Semi-Automated Diagnosis of Alzheimer's Disease. EURASIP J. Adv. Signal Process. 2012: 192 (2012) - 2011
- [j2]Jair Minoro Abe, Helder Frederico da Silva Lopes, Renato Anghinah:
Paraconsistent artificial neural networks and EEG analysis. Int. J. Reason. based Intell. Syst. 3(2): 115-123 (2011) - [c1]Lucas Trambaiolli, Tiago H. Falk, Francisco J. Fraga, Renato Anghinah, Ana Carolina Lorena:
EEG spectro-temporal modulation energy: A new feature for automated diagnosis of Alzheimer's disease. EMBC 2011: 3828-3831 - 2010
- [j1]Helder Frederico da Silva Lopes, Jair Minoro Abe, Renato Anghinah:
Application of Paraconsistent Artificial Neural Networks as a Method of Aid in the Diagnosis of Alzheimer Disease. J. Medical Syst. 34(6): 1073-1081 (2010)
Coauthor Index
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