( en | de | ru )

 

Disambiguation of "Hauptmann, Andreas"

Author of the publication

copydeleteadd this publication to your clipboard
Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography.

, , , and . CoRR, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Andreas Hauptmann

Steffen Hauptmann

Harald Hauptmann

Michael Hauptmann

Marek Hauptmann

 

Other publications of authors with the same name

Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction., , , , , and . CoRR, (2020)A Model-Based Iterative Learning Approach for Diffuse Optical Tomography., , , , and . IEEE Trans. Medical Imaging, 41 (5): 1289-1299 (2022)Networks for Nonlinear Diffusion Problems in Imaging., and . CoRR, (2018)Model-based reconstructions for quantitative imaging in photoacoustic tomography., and . CoRR, (2023)An efficient Quasi-Newton method for nonlinear inverse problems via learned singular values., , , and . CoRR, (2020)Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach., , , , , , , and . ISBI Workshops, page 1-4. IEEE, (2020)Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT)., , , and . CoRR, (2018)Robust Data-Driven Accelerated Mirror Descent., , , , and . ICASSP, page 1-5. IEEE, (2023)Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach., , , , , , , , , and 1 other author(s). IEEE Access, (2021)An Efficient Quasi-Newton Method for Nonlinear Inverse Problems via Learned Singular Values., , , and . IEEE Signal Process. Lett., (2021)