An end-to-end LSTM-Attention based framework for quasi-steady-state CEST prediction.

Yang, Wei; Zou, Jisheng; Zhang, Xuan; Chen, Yaowen; Tang, Hanjing; Xiao, Gang; Zhang, Xiaolei

Yang, Wei; Zou, Jisheng; Zhang, Xuan; Chen, Yaowen; Tang, Hanjing; Xiao, Gang; Zhang, Xiaolei.

Afiliación

Yang W; Great Bay University, Dongguan, China.
Zou J; College of Engineering, Shantou University, Shantou, China.
Zhang X; College of Engineering, Shantou University, Shantou, China.
Chen Y; College of Engineering, Shantou University, Shantou, China.
Tang H; College of Engineering, Shantou University, Shantou, China.
Xiao G; College of Engineering, Shantou University, Shantou, China.
Zhang X; School of Mathematics and Statistics, Hanshan Normal University, Chaozhou, China.

Front Neurosci ; 17: 1281809, 2023.

Article en En | MEDLINE | ID: mdl-38249583

Palabras clave

Bloch-McConnell equation; CEST-MRI; LSTM-Attention; QUASS CEST; deep learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurosci Año: 2023 Tipo del documento: Article País de afiliación: China

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