51 citations · 168 across the 23 of their papers we have counts for
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eess.SP2023
Improving DCE-MRI through unfolded low-rank + sparse optimisation
Ondřej Mokrý, Jiří Vitouš, Pavel Rajmic +1
A method for perfusion imaging with DCE-MRI is developed based on two popular paradigms: the low-rank + sparse model for optimisation-based reconstruction, and the deep unfolding.…
eess.AS2023★ 2 cited
Multiple Hankel matrix rank minimization for audio inpainting
Pavel Záviška, Pavel Rajmic, Ondřej Mokrý
Sasaki et al. (2018) presented an efficient audio declipping algorithm, based on the properties of Hankel-structure matrices constructed from time-domain signal blocks. We adapt th…