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DR. Danielle Bednarski

Computational imaging with a particular interest in non-smooth convex relaxation methods for variational image processing, inverse scale space iterations and coordinate-based neural network techniques.

Publications

EmNeF: Neural Fields for Embedded Variational Problems in Imaging

Bednarski D, Lellmann J - Lecture Notes in Computer Science - 2023

10.1007/978-3-031-31975-4_11

Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case

Bednarski D, Lellmann J - Journal of Mathematical Imaging and Vision - 2022

10.1007/s10851-022-01125-8

Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting

Bednarski D, Lellmann J - Lecture Notes in Computer Science - 2021

10.1007/978-3-030-75549-2_19

Send mail to Danielle Bednarski (danielle.bednarski@desy.de)
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Deutsches Elektronen-Synchrotron Logo
ORCID
0000-0001-9440-4468

Danielle Bednarski in Helmholtz Imaging CONNECT:

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Deutsches Elektronen-Synchrotron (DESY)

DESY is one of the world’s leading accelerator centres. Researchers use the large-scale facilities at DESY to explore the microcosm in all its variety – from the interactions of tiny elementary particles and the behaviour …

In Helmholtz Imaging CONNECT
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Helmholtz Imaging (HI)

Helmholtz Imaging (HI) brings scientists and engineers in the Helmholtz Association together to promote and develop imaging science and to foster synergies across imaging modalities and applications within the Helmholtz Association.

A significant amount of …

In Helmholtz Imaging CONNECT
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