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Deep Learning for Time-Domain Diffuse Optical Tomography Reconstructions by Unrolling a Sensitivity Equation-based Algorithm

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Abstract

We have developed a neural network based on algorithm unrolling techniques to overcome challenges in the DOT inverse problem. Results from numerical and phantom experiments show the network's capability for high-speed and accurate DOT reconstructions.

© 2023 The Author(s)

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