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Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables spatially resolved imaging of optical tissue properties up to several centimeters deep in tissue, creating the potential for numerous exciting clinical applications. However, extraction of relevant tissue parameters from the raw data requires the solving of inverse image reconstruction problems, which have proven extremely difficult to solve. The application of deep learning methods has recently exploded indoi:10.1016/j.pacs.2021.100241 pmid:33717977 pmcid:PMC7932894 fatcat:ijlvkeivlbhmzdf7otgrjuthky