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Vladimir Jellus

Researcher at Siemens

Publications -  84
Citations -  6960

Vladimir Jellus is an academic researcher from Siemens. The author has contributed to research in topics: Signal & Pixel. The author has an hindex of 19, co-authored 84 publications receiving 6281 citations. Previous affiliations of Vladimir Jellus include Slovak Academy of Sciences.

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Generalized autocalibrating partially parallel acquisitions (GRAPPA).

TL;DR: This technique, GeneRalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) is an extension of both the PILS and VD‐AUTO‐SMASH reconstruction techniques and provides unaliased images from each component coil prior to image combination.
Journal Article

Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings.

TL;DR: It is found that there is no clear advantage of diffusion-weighted echo-planar imaging in the evaluation of tumor extension and the contrast between gliomas, metastases, meningioma, and white matter was generally lower on diffusion- Weighted images and ADC maps compared with conventional MR imaging.
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Non-contrast-enhanced perfusion and ventilation assessment of the human lung by means of fourier decomposition in proton MRI.

TL;DR: A new method of non‐contrast‐enhanced functional lung MRI (not dependent on intravenous or inhalative contrast agents) is proposed and was applied in preliminary studies on volunteers and patients showing clinical relevance to obtain non-contrast-enhanced perfusion and ventilation data.
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Cartilage Quality Assessment by Using Glycosaminoglycan Chemical Exchange Saturation Transfer and 23Na MR Imaging at 7 T

TL;DR: In this article, the strong correlation between 23Na imaging and glycosaminoglycan chemical exchange saturation transfer (gagCEST) imaging after cartilage repair surgery suggests that gagCEST MR imaging in vivo might be sensitive to cartilage glycosamina glycan content.
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A brief review of parallel magnetic resonance imaging

TL;DR: In this review article, the advantages and the disadvantages of pMRI in clinical applications are discussed and examples from many different daily applications are given.