@inproceedings{9632f4c8a2e24e81903bb530f057ca59,
title = "Deep Learning for Time-Domain Diffuse Optical Tomography Reconstructions by Unrolling a Sensitivity Equation-based Algorithm",
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.",
author = "Fay Wang and Hielscher, {Andreas H.} and Kim, {Stephen H.}",
note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2023, {\textcopyright} 2023 The Author(s); Biophotonics Congress: Optics in the Life Sciences 2023, OMA, NTM, BODA, OMP, BRAIN 2023 - Part of Optica Biophotonics Congress: Optics in the Life Sciences ; Conference date: 24-04-2023 Through 27-04-2023",
year = "2023",
doi = "10.1364/BODA.2023.JTu4B.7",
language = "English (US)",
series = "Bio-Optics: Design and Application in Proceedings Biophotonics Congress: Optics in the Life Sciences 2023, OMA, NTM, BODA, OMP, BRAIN 2023",
publisher = "Optical Society of America",
booktitle = "Bio-Optics",
}