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Case 1: results of the simulated heart-and-lungs phantom. Initial input: random noise image z; Output: fθ^(z); σDIP: DeepEIT based reconstruction, i.e., σDIP=P(fθ^(z)). σNOSER: NOSER based reconstruction; σL2 and σTV: reference estimations using smoothness prior and total variation, respectively.

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