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2020 – today
- 2024
[j3]Anna Klimovskaia Susmelj
, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xosé-Luís Dean-Ben, Fernando Pérez-Cruz, Daniel Razansky:
Signal domain adaptation network for limited-view optoacoustic tomography. Medical Image Anal. 91: 103012 (2024)- 2023
- [j2]Anna Klimovskaia Susmelj, Yani Ren, Yann Vander Meersche, Jean-Christophe Gelly, Tatiana Galochkina:
Poincaré maps for visualization of large protein families. Briefings Bioinform. 24(3) (2023) - 2022
- [c2]Anna Klimovskaia Susmelj, Berkan Lafci, Firat Ozdemir, Neda Davoudi, Xosé-Luís Dean-Ben, Fernando Pérez-Cruz, Daniel Razansky:
Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data. MIDL 2022: 1173-1191
2010 – 2019
- 2018
- [c1]Tineke Blom, Anna Klimovskaia, Sara Magliacane, Joris M. Mooij:
Causal Discovery in the Presence of Measurement Error. UAI 2018: 570-579 - [i1]Tineke Blom, Anna Klimovskaia, Sara Magliacane, Joris M. Mooij:
An Upper Bound for Random Measurement Error in Causal Discovery. CoRR abs/1810.07973 (2018) - 2016
- [j1]Anna Klimovskaia, Stefan Ganscha, Manfred Claassen:
Sparse Regression Based Structure Learning of Stochastic Reaction Networks from Single Cell Snapshot Time Series. PLoS Comput. Biol. 12(12) (2016)
Coauthor Index
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