Combining band-frequency separation and deep neural networks for optoacoustic imaging

•We consider the use of frequency-band separation and a FD-UNet architecture for image reconstruction in optoacoustic tomography.•A specially customized loss function is presented for training the neural network architecture.•Numerical and experimental results show important performance gains with respect to other methods proposed in the literature.