Computation of transcranial magnetic stimulation electric fields using self-supervised deep learning

Computation of transcranial magnetic stimulation electric fields using self-supervised deep learning

Electric fields (E-fields) induced by transcranial magnetic stimulation (TMS) can be modeled using partial differential equations (PDEs). Using state-of-the-art finite-element methods (FEM), it often takes tens of seconds to solve the PDEs for computing a high-resolution E-field, hampering the wide...

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Bibliographic Details
Main Authors: Hongming Li, PhD, Zhi-De Deng, PhD, Desmond Oathes, PhD, Yong Fan, PhD
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:NeuroImage
Subjects:
Self-supervised learning
Deep neural networks
Electric field modeling
TMS
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922008266

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http://www.sciencedirect.com/science/article/pii/S1053811922008266

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