Prediction of Electric Fields Induced by Transcranial Magnetic Stimulation in the Brain using a Deep Encoder-Decoder Convolutional Neural Network
M. Tashli, M. S. Alam, J. Gong, C. Lewis, C. L. Peterson, H. Eldardiry, J. Atulasimha, R. L. Hadimani
This paper develops a deep convolutional neural network to predict induced electric fields from TMS in real-time using MRI data, achieving high accuracy with peak signal-to-noise ratios of 32.83dB and 28.01dB.
bioRxiv · Oct 27, 2022 · PreprintBioengineering