Francis R. Loayza
0000-0002-6283-3679
ESPOL
359
Coauthors
35
Documentos
9
H-index Scopus
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2009 | 1 |
| 2011 | 2 |
| 2012 | 1 |
| 2013 | 1 |
| 2014 | 1 |
| 2015 | 2 |
| 2016 | 2 |
| 2017 | 2 |
| 2018 | 3 |
| 2020 | 1 |
| 2021 | 9 |
| 2022 | 9 |
| 2023 | 1 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Neurología | 12 |
| Aprendizaje automático | 11 |
| Ciencias de la computación | 8 |
| Cognición | 4 |
| Inteligencia artificial | 3 |
| Neuropsicología | 3 |
| Robótica | 2 |
| Laboratorio médico | 2 |
| Cáncer | 2 |
| Habilidad motora | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Fisiología humana | 16 |
| Enfermedades | 15 |
| Física aplicada | 8 |
| Ciencias de la computación | 7 |
| Métodos informáticos especiales | 6 |
| Procesos mentales conscientes e inteligencia | 6 |
| Medicina y salud | 4 |
| Cirugía y especialidades médicas afines | 3 |
| Instrumentos de precisión y otros dispositivos | 2 |
| Ginecología, obstetricia, pediatría, geriatría | 2 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 35 |
| Google Scholar | 7 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Enrique Pelaez | 18 |
| Pastor M.A. | 12 |
| Victor Asanza Armijos | 11 |
| Fernández-Seara M.A. | 9 |
| Aznárez-Sanado M. | 7 |
| Luis E.O. | 5 |
| Diego Hernán Peluffo-Ordóñez | 4 |
| Villagra F. | 4 |
| Arrondo G. | 4 |
| Martínez M. | 3 |
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Top Keywords
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Publicaciones del autor
A deep learning model to screen for Corona Virus Disease (COVID-19) from X-ray chest images
Conference ObjectAbstract: The overwhelming situation in hospitals, both in countries considered as developed and in under-devePalabras claves:convolutional neural networks, covid-19, deep learning, X-Ray Image AnalysisAutores:Enrique Pelaez, Francis R. LoayzaFuentes:scopusEEG signal clustering for motor and imaginary motor tasks on hands and feet
Conference ObjectAbstract: Modern technologies use Brain Computer Interfaces (BCI) to control devices or prosthesis for peoplePalabras claves:Brain computer interface, Butterworth Filter, DBscan, Direct Current Artifacts, electroencephalography, Fast fourier transform, hierarchical-clustering, k-medoids, kmeans, power spectral density, Spectral clusteringAutores:Enrique Pelaez, Francis R. Loayza, Victor Asanza ArmijosFuentes:googlescopusSupervised pattern recognition techniques for detecting motor intention of lower limbs in subjects with cerebral palsy
Conference ObjectAbstract: Cerebral Palsy (CP) is one of the major conditions that prevent subjects suffering from having freePalabras claves:Brain computer interface, Cerebral palsy, electroencephalography, Machine learning, motor intentionsAutores:Enrique Pelaez, Francis R. Loayza, Victor Asanza ArmijosFuentes:scopusAutomatic Brain White Matter Hyperintensities Segmentation with Swin U-Net
Conference ObjectAbstract: This work proposes an automatic segmentation approach to detect White Matter Hyperintensities (WMH)Palabras claves:deep learning, segmentation, Swin-Transformer, WMHAutores:Bryan V. Piguave, Enrique Pelaez, Francis R. Loayza, José ViteriFuentes:googlescopusAutomatic brain white matter hypertinsities segmentation using deep learning techniques
Conference ObjectAbstract: White Matter Hyperintensities (WMH) are lesions observed in the brain as bright regions in Fluid AttPalabras claves:Convolutional neural network, U-net, WMH SegmentationAutores:Enrique Pelaez, Fabricio Layedra, Francis R. Loayza, José ViteriFuentes:googlescopus