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Solving ill-posed inverse problems using iterative deep neural networks
PaperIOP Institute of Physics | 2017| -
Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography
PaperIOP Institute of Physics | 2019| -
Computed tomography reconstruction using deep image prior and learned reconstruction methods
Free accessPaperIOP Institute of Physics | 2020| -
Learning about physical parameters: the importance of model discrepancy
PaperIOP Institute of Physics | 2014| -
A graph space optimal transport distance as a generalization of L p distances: application to a seismic imaging inverse problem
PaperIOP Institute of Physics | 2019| -
Inverse problems for nonlinear quasi-variational inequalities with an application to implicit obstacle problems of p -Laplacian typeProject supported by the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement No. 823731 CONMECH, National Science Center of Poland under Maestro Project No. UMO-2012/06/A/ST1/00262, and National Science Center of Poland under Preludium Project No. 2017/25/N/ST1/00611. It is also supported by the Beibu Gulf University, Project No. 2018KYQD06, Natural Science Foundation of Guangxi (Grant No. 2018JJA110006), and the International Project co-financed by the Ministry of Science and Higher Education of Republic of Poland under Grant No. 3792/GGPJ/H2020/2017/0.
PaperIOP Institute of Physics | 2019| -
Compressed sensing recovery via nonconvex shrinkage penalties
PaperIOP Institute of Physics | 2016| -
On the adjoint operator in photoacoustic tomography
Free accessPaperIOP Institute of Physics | 2016| -
A tutorial on inverse problems for anomalous diffusion processes
Free accessPaperIOP Institute of Physics | 2015| -
Convexification of electrical impedance tomography with restricted Dirichlet-to-Neumann map data
PaperIOP Institute of Physics | 2019| -
An optimal transport approach for seismic tomography: application to 3D full waveform inversion
PaperIOP Institute of Physics | 2016| -
Convexification and experimental data for a 3D inverse scattering problem with the moving point source
PaperIOP Institute of Physics | 2020| -
Nonlocal low-rank and sparse matrix decomposition for spectral CT reconstruction
PaperIOP Institute of Physics | 2018| -
Joint reconstruction of PET-MRI by exploiting structural similarity
Free accessPaperIOP Institute of Physics | 2015| -
Uniqueness and Lipschitz stability in electrical impedance tomography with finitely many electrodes
PaperIOP Institute of Physics | 2019| -
Monotonicity-based electrical impedance tomography for lung imaging
PaperIOP Institute of Physics | 2018| -
Deep null space learning for inverse problems: convergence analysis and rates
Free accessPaperIOP Institute of Physics | 2019| -
Hybrid PET-MR list-mode kernelized expectation maximization reconstruction
Free accessPaperIOP Institute of Physics | 2019|
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