Linear and Nonlinear Inverse Problems with Practical Applications

By Jennifer L. Mueller, Samuli Siltanen. Computational science and engineering, 2012

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Characterization and reduction of artifacts in limited angle tomography (2013, background): “Typical examples of modalities where such problems arise are digital breast tomosynthesis [29, 40], dental tomography [18, 26], or electron microscopy [3].”
Solving inverse problems using data-driven models (2019, methodology): “…particular has led to the advance of methods that incorporate information about the structure of the parameters to be determined in terms of sparsity assumptions (Daubechies, Defrise and De Mol 2004, Jin and Maass 2012b) or stochastic models (Kaipio and Somersalo 2007, Mueller and Siltanen 2012).”
Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks (2017, methodology): “The interested reader is referred to [38] for further details.”