نتائج البحث

Algorithms in Tomography and Related Inverse Problems—A Review.

• Authors : Tassiopoulou, Styliani¹ (AUTHOR) ; Koukiou, Georgia¹ (AUTHOR); Anastassopoulos, Vassilis¹ (AUTHOR)

• Source: Algorithms. Feb2024, Vol. 17 Issue 2, p71. 31p.

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Research biography of a distinguished expert in the field of inverse problems: Professor Eric Todd Quinto

• Authors : Agranovsky, Mark; Boman, Jan, 1933; Hasanov, Alemdar

Subjects: microlocal analysis; Radon transform; Tomography

• Source: Journal of Inverse and Ill-Posed Problems. 30(4):613-617

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Fréchet Derivatives for Some Bilinear Inverse Problems

• Authors : Dierkes, Thomas; Dorn, Oliver; Natterer, Frank

• Source: SIAM Journal on Applied Mathematics, 2002 Jul 01. 62(6), 2092-2113.

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Task adapted reconstruction for inverse problems

• Authors : Adler, Jonas; Lunz, Sebastian; Verdier, Olivier

Subjects: inverse problems; image reconstruction; tomography

• Source: Inverse Problems. 38(7)

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Quantitative photoacoustic tomography: modeling and inverse problems

• Authors : Tarvainen, Tanja; Cox, Ben

Subjects: inverse problems; photoacoustic imaging; quantitative imaging

• Source: Journal of Biomedical Optics , 29 (Suppl 1) , Article S11509. (2024)

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On the potential of physics-informed neural networks to solve inverse problems in tokamaks

• Authors : Riccardo Rossi; Michela Gelfusa; Andrea Murari

Subjects: inverse problems; equilibrium reconstructions; tomography

• Source: Nuclear Fusion, Vol 63, Iss 12, p 126059 (2023)

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Data-driven Methods in Inverse Problems

• Authors : Adler, Jonas, 1990;

Subjects: Inverse Problems; Machine Learning; Tomography

• Source: TRITA-SCI-FOU.

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An MCMC method for uncertainty quantification in nonnegativity constrained inverse problems.

• Authors : Bardsley, JohnathanM.¹ (AUTHOR) ; Fox, Colin² (AUTHOR)

• Source: Inverse Problems in Science & Engineering. Jun2012, Vol. 20 Issue 4, p477-498. 22p.

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Learning Hyperparameters for Inverse Problems by Deep Neural Networks

• Authors : McDonald, Ashlyn Grace;

Subjects: regularization; inverse problems; tomography

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Tomography of nonlinear materials via the monotonicity principle.

• Authors : Mottola, Vincenzo¹ (AUTHOR) ; Corbo Esposito, Antonio¹ (AUTHOR); Piscitelli, Gianpaolo² (AUTHOR)

• Source: International Journal of Applied Electromagnetics & Mechanics. 2024, Vol. 74 Issue 4, p307-312. 6p.

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