7 citations · 9 across the 2 of their papers we have counts for
5 papers
Deep learning-based fully automatic segmentation of wrist cartilage in MR images
Ekaterina Brui, Aleksandr Y. Efimtcev, Vladimir A. Fokin +8
The study objective was to investigate the performance of a dedicated convolutional neural network (CNN) optimized for wrist cartilage segmentation from 2D MR images. CNN utilized…
Ultrahigh field MR-imaging: new frontiers and possibilities
Mikhail Zubkov, Anna Andreychenko, Egor Kretov +6
Increasing the static magnetic field strength into the realm of ultrahigh fields (7 T and higher) is the central trend in modern magnetic resonance (MR) imaging. The use of ultrahi…
Locally Enhanced Image Quality with Tunable Hybrid Metasurfaces
Alena V. Shchelokova, Alexey P. Slobozhanyuk, Irina V. Melchakova +4
Metasurfaces represent a new paradigm in artificial subwavelength structures due to their potential to overcome many challenges typically associated with bulk metamaterials. The ab…
A Novel Metamaterial-Inspired RF-coil for Preclinical Dual-Nuclei MRI
A. Hurshkainen, A. Nikulin, E. Georget +9
In this paper we propose, design and test a new dual-nuclei RF-coil inspired by wire metamaterial structures. The coil operates due to resonant excitation of hybridized eigenmodes…
Enhancement of magnetic resonance imaging with metasurfaces
A. P. Slobozhanyuk, A. N. Poddubny, A. J. E. Raaijmakers +6
Magnetic resonance imaging (MRI) is the cornerstone technique for diagnostic medicine, biology, and neuroscience. This imaging method is highly innovative, noninvasive and its impa…