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Autor:
Abascal, Juan F P J, Abascal, Juan Fpj, Ducros, Nicolas, Pronina, Valeriya, Rit, Simon, Rodesch, Pierre-Antoine, Broussaud, Thomas, Bussod, Suzanne, Douek, Philippe, Hauptmann, Andreas, Arridge, Simon, PEYRIN, Françoise
Publikováno v:
IEEE Access
IEEE Access, IEEE, In press, ⟨10.1109/ACCESS.2021.3056150⟩
IEEE Access, IEEE, 2021, 9, pp.25632-25647. ⟨10.1109/ACCESS.2021.3056150⟩
IEEE Access, Vol 9, Pp 25632-25647 (2021)
IEEE Access, IEEE, In press, ⟨10.1109/ACCESS.2021.3056150⟩
IEEE Access, IEEE, 2021, 9, pp.25632-25647. ⟨10.1109/ACCESS.2021.3056150⟩
IEEE Access, Vol 9, Pp 25632-25647 (2021)
International audience; The state-of-the art for solving the nonlinear material decomposition problem in spectral computed tomogra-phy is based on variational methods, but these are computationally slow and critically depend on the particular choice