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pro vyhledávání: '"A, Stolt"'
In an effort to shift the paradigm of power conversion, acoustic resonators pose as compact alternatives for lossy magnetic inductors. Currently, the acoustic resonator's restricted inductive region between its series and parallel resonances constitu
Externí odkaz:
http://arxiv.org/abs/2409.15686
Autor:
Zhang, Yundi, Stolt-Ansó, Nil, Pan, Jiazhen, Huang, Wenqi, Hammernik, Kerstin, Rueckert, Daniel
The prevailing deep learning-based methods of predicting cardiac segmentation involve reconstructed magnetic resonance (MR) images. The heavy dependency of segmentation approaches on image quality significantly limits the acceleration rate in fast MR
Externí odkaz:
http://arxiv.org/abs/2406.00192
Cardiac magnetic resonance (CMR) image acquisition requires subjects to hold their breath while 2D cine images are acquired. This process assumes that the heart remains in the same position across all slices. However, differences in breathhold positi
Externí odkaz:
http://arxiv.org/abs/2404.00767
Autor:
Mekhael, Madona, Stolt, Timo, Vesala, Anna, Rekola, Heikki, Hakala, Tommi K., Fickler, Robert, Huttunen, Mikko J.
We demonstrate a simple and scalable approach to increase conversion efficiencies of nonlinear metasurfaces by incorporating them into multipass cells and by letting the pump beam to interact with the metasurfaces multiple times. We experimentally sh
Externí odkaz:
http://arxiv.org/abs/2310.04301
Segmentation of anatomical shapes from medical images has taken an important role in the automation of clinical measurements. While typical deep-learning segmentation approaches are performed on discrete voxels, the underlying objects being analysed
Externí odkaz:
http://arxiv.org/abs/2309.08643
Autor:
Nguyen, Kristi, Stolt, Eric, Braun, Weston, Chulukhadze, Vakhtang, Segovia-Fernandez, Jeronimo, Chakraborty, Sombuddha, Rivas-Davila, Juan, Lu, Ruochen
Publikováno v:
2023 Joint Conference of the European Frequency and Time Forum and IEEE International Frequency Control Symposium (EFTF/IFCS), Toyama, Japan, 2023
Recently, piezoelectric power conversion has shown great benefits from replacing the bulky and lossy magnetic inductor in a traditional power converter with a piezoelectric resonator due to its compact size and low loss. However, the converter perfor
Externí odkaz:
http://arxiv.org/abs/2308.13902
Autor:
Pan, Jiazhen, Shit, Suprosanna, Turgut, Özgün, Huang, Wenqi, Li, Hongwei Bran, Stolt-Ansó, Nil, Küstner, Thomas, Hammernik, Kerstin, Rueckert, Daniel
In dynamic Magnetic Resonance Imaging (MRI), k-space is typically undersampled due to limited scan time, resulting in aliasing artifacts in the image domain. Hence, dynamic MR reconstruction requires not only modeling spatial frequency components in
Externí odkaz:
http://arxiv.org/abs/2307.12672
Autor:
McGinnis, Julian, Shit, Suprosanna, Li, Hongwei Bran, Sideri-Lampretsa, Vasiliki, Graf, Robert, Dannecker, Maik, Pan, Jiazhen, Ansó, Nil Stolt, Mühlau, Mark, Kirschke, Jan S., Rueckert, Daniel, Wiestler, Benedikt
Clinical routine and retrospective cohorts commonly include multi-parametric Magnetic Resonance Imaging; however, they are mostly acquired in different anisotropic 2D views due to signal-to-noise-ratio and scan-time constraints. Thus acquired views s
Externí odkaz:
http://arxiv.org/abs/2303.15065
Autor:
Thomas Olsen, Kathrine J. Vinknes, Kristýna Barvíková, Emma Stolt, Sindre Lee-Ødegård, Hannibal Troensegaard, Hanna Johannessen, Amany Elshorbagy, Jitka Sokolová, Jakub Krijt, Michaela Křížková, Tamás Ditrói, Péter Nagy, Bente Øvrebø, Helga Refsum, Magne Thoresen, Kjetil Retterstøl, Viktor Kožich
Publikováno v:
Redox Biology, Vol 73, Iss , Pp 103192- (2024)
Background: In animals, dietary sulfur amino acid restriction (SAAR) improves metabolic health, possibly mediated by altering sulfur amino acid metabolism and enhanced anti-obesogenic processes in adipose tissue. Aim: To assess the effects of SAAR ov
Externí odkaz:
https://doaj.org/article/25c59b32605a4c42bd104f1491f8959c
Publikováno v:
In Journal of the Mechanical Behavior of Biomedical Materials December 2024 160