Rodríguez‐álvarez M.J.
43
Coauthors
8
Documentos
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2017 | 1 |
| 2018 | 1 |
| 2019 | 1 |
| 2020 | 2 |
| 2021 | 3 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Neurología | 3 |
| Cáncer | 2 |
| Ciencias de la computación | 2 |
| Algoritmo | 2 |
| Laboratorio médico | 2 |
| Software | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Enfermedades | 6 |
| Medicina y salud | 4 |
| Fisiología humana | 2 |
| Cirugía y especialidades médicas afines | 1 |
| Ciencias de la computación | 1 |
| Funcionamiento de bibliotecas y archivos | 1 |
| Física aplicada | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 8 |
| Google Scholar | 6 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Yuliana Jiménez-Gaona | 8 |
| Castillo P. | 7 |
| René J. Samaniego | 5 |
| Darwin Patricio Castillo Malla | 4 |
| Lakshminarayanan V. | 4 |
| Vivanco-Galván O. | 3 |
| Luis Alberto Cuenca Macas | 3 |
| Oscar Vivanco-Galván | 2 |
| J. Carrión | 1 |
| Andrés Sánchez | 1 |
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Top Keywords
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Publicaciones del autor
Deep‐learning‐based computer‐aided systems for breast cancer imaging: A critical review
ReviewAbstract: This paper provides a critical review of the literature on deep learning applications in breast tumoPalabras claves:Breast Cancer, Computer‐aided diagnosis, convolutional neural networks, deep learning, Mammography, UltrasoundAutores:Lakshminarayanan V., Rodríguez‐álvarez M.J., Yuliana Jiménez-GaonaFuentes:scopusDenseNet for Breast Tumor Classification in Mammographic Images
Conference ObjectAbstract: Breast cancer screening is an efficient method to detect breast lesions early. The common screeningPalabras claves:Breast tumor classification, Convolutional neural network, deep learning, DenseNet, Mammography, RoI alignAutores:Castillo P., Espino-Morato H., Lakshminarayanan V., Rodríguez‐álvarez M.J., Yuliana Jiménez-GaonaFuentes:googlescopusDemyelinating and ischemic brain diseases: Detection algorithm through regular magnetic resonance images
Conference ObjectAbstract: This work presents the advance to development of an algorithm for automatic detection of demyelinatiPalabras claves:Brain disease, Demyelinating, IMAGE PROCESSING, ischemia, MRIAutores:Castillo P., Luis Alberto Cuenca Macas, René J. Samaniego, Rodríguez‐álvarez M.J., Vivanco-Galván O., Yuliana Jiménez-GaonaFuentes:googlescopusPreprocessing fast filters and mass segmentation for mammography images
Conference ObjectAbstract: Digital mammography is a valuable technique for breast cancer detection, because it is safe, noninvaPalabras claves:Breast Cancer, contrast enhancement, Filters, Mammogram, Preprocessing, segmentationAutores:Castillo P., Darwin Patricio Castillo Malla, Jimmy Freire, Lakshminarayanan V., Rodríguez‐álvarez M.J., Yuliana Jiménez-GaonaFuentes:googlescopusAssessment of mesial temporal sclerosis through MRI processing
Conference ObjectAbstract: Mesial temporal sclerosis (MTS) is the principal cause of complex epilepsy, is manifested principallPalabras claves:brain MRI, Epilepsy, Hippocampal volume, Machine learning, Mesial temporal sclerosisAutores:Andrés Sánchez, Castillo P., Darwin Patricio Castillo Malla, J. Carrión, René J. Samaniego, Rodríguez‐álvarez M.J., Yuliana Jiménez-GaonaFuentes:googlescopus