Lai-Yuen S.K.
46
Coauthors
8
Documentos
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2018 | 1 |
| 2020 | 3 |
| 2021 | 2 |
| 2022 | 1 |
| 2023 | 1 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Ciencias de la computación | 7 |
| Laboratorio médico | 5 |
| Aprendizaje automático | 4 |
| Visión por computadora | 1 |
| Red neuronal artificial | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Medicina y salud | 5 |
| Ciencias de la computación | 5 |
| Enfermedades | 4 |
| Física aplicada | 2 |
| Métodos informáticos especiales | 2 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 8 |
| Google Scholar | 8 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Maria G. Baldeon Calisto | 8 |
| Shapey J. | 1 |
| Shirokikh B. | 1 |
| Escalera S. | 1 |
| Shin H. | 1 |
| Kondo S. | 1 |
| Ourselin S. | 1 |
| Dong H. | 1 |
| Ly B. | 1 |
| Wu J. | 1 |
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Top Keywords
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Publicaciones del autor
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for Medical Image Segmentation
Conference ObjectAbstract: Deep learning models have obtained state-of-the-art results for medical image analysis. However, CNNPalabras claves:Domain Adaptation, Generative Adversarial Networks, image segmentation, Medical image analysis, unsupervised learningAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusAdaEn-Net: An ensemble of adaptive 2D–3D Fully Convolutional Networks for medical image segmentation
ArticleAbstract: Fully Convolutional Networks (FCNs) have emerged as powerful segmentation models but are usually desPalabras claves:deep learning, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture SearchAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusAdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation
ArticleAbstract: Adapting an existing convolutional neural network architecture to a specific dataset for medical imaPalabras claves:convolutional neural networks, deep learning, Evolutionary algorithms, Hyperparameter optimization, Medical image segmentation, Multiobjective optimizationAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusEMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation
ArticleAbstract: Deep learning plays a critical role in medical image segmentation. Nevertheless, manually designingPalabras claves:AutoML, convolutional neural networks, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture SearchAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusEMONAS: Efficient multiobjective neural architecture search framework for 3D medical image segmentation
Conference ObjectAbstract: Deep learning plays a critical role in medical image segmentation. Nevertheless, manually designingPalabras claves:deep learning, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture SearchAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopus