Multivariable-incorporating super-resolution residual network for transcranial focused ultrasound simulation.

Shin, Minwoo; Peng, Zhuogang; Kim, Hyo-Jin; Yoo, Seung-Schik; Yoon, Kyungho

Shin, Minwoo; Peng, Zhuogang; Kim, Hyo-Jin; Yoo, Seung-Schik; Yoon, Kyungho.

Afiliación

Shin M; School of Mathematics and Computing (Computational Science and Engineering), Seoul 03722, Republic of Korea.
Peng Z; Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame 46556, IN, USA.
Kim HJ; School of Mathematics and Computing (Computational Science and Engineering), Seoul 03722, Republic of Korea.
Yoo SS; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston 02115, MA, USA.
Yoon K; School of Mathematics and Computing (Computational Science and Engineering), Seoul 03722, Republic of Korea. Electronic address: yoonkh@yonsei.ac.kr.

Comput Methods Programs Biomed ; 237: 107591, 2023 Jul.

Article en En | MEDLINE | ID: mdl-37182263

Asunto(s)

Encéfalo; Cráneo; Humanos; Encéfalo/diagnóstico por imagen; Cráneo/diagnóstico por imagen; Simulación por Computador; Acústica; Cabeza

Palabras clave

Convolutional neural networks; Deep learning; Residual networks; Super-resolution; Transcranial focused ultrasound

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cráneo / Encéfalo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article Pais de publicación: Irlanda

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google