CRPDNN uses a coordinate-residual convolutional network optimized by data consistency to reconstruct 3D contrast distributions, beating CSI and L2/3-FBE-WCIE on reported synthetic and Fresnel cases.
Wiley-IEEE Press, Hoboken, NJ, USA, 2018
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Coordinate-Residual Physics-Driven Neural Network for Electromagnetic Inverse Scattering
CRPDNN uses a coordinate-residual convolutional network optimized by data consistency to reconstruct 3D contrast distributions, beating CSI and L2/3-FBE-WCIE on reported synthetic and Fresnel cases.