Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Loecher Michael"'
Autor:
Zhang, Chi, Loecher, Michael, Alkan, Cagan, Yurt, Mahmut, Vasanawala, Shreyas S., Ennis, Daniel B.
In recent years, machine learning (ML) based reconstruction has been widely investigated and employed in cardiac magnetic resonance (CMR) imaging. ML-based reconstructions can deliver clinically acceptable image quality under substantially accelerate
Externí odkaz:
http://arxiv.org/abs/2411.10403
Autor:
Zimmermann, Judith, Bäumler, Kathrin, Loecher, Michael, Cork, Tyler E., Marsden, Alison L., Ennis, Daniel B., Fleischmann, Dominik
Understanding the complex interplay between morphologic and hemodynamic features in aortic dissection is critical for risk stratification and for the development of individualized therapy. This work evaluates the effects of entry and exit tear size o
Externí odkaz:
http://arxiv.org/abs/2303.13639
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 14, Iss Suppl 1, p W64 (2012)
Externí odkaz:
https://doaj.org/article/34ee5215c159428ab928cd4d32c44903
Autor:
Zimmermann, Judith, Baeumler, Kathrin, Loecher, Michael, Cork, Tyler E., Kolawole, Fikunwa O., Gifford, Kyle, Marsden, Alison L., Fleischmann, Dominik, Ennis, Daniel B.
Publikováno v:
FIMH. Lecture Notes in Computer Science (2021)
The analysis of quantitative hemodynamics and luminal pressure may add valuable information to aid treatment strategies and prognosis for aortic dissections. This work directly compared in vitro 4D-flow magnetic resonance imaging (MRI), catheter-base
Externí odkaz:
http://arxiv.org/abs/2102.13213
Autor:
Maier, Oliver, Baete, Steven H., Fyrdahl, Alexander, Hammernik, Kerstin, Harrevelt, Seb, Kasper, Lars, Karakuzu, Agah, Loecher, Michael, Patzig, Franz, Tian, Ye, Wang, Ke, Gallichan, Daniel, Uecker, Martin, Knoll, Florian
Publikováno v:
Magnetic Resonance in Medicine 2021;85:1821-1839
Purpose: The aim of this work is to shed light on the issue of reproducibility in MR image reconstruction in the context of a challenge. Participants had to recreate the results of "Advances in sensitivity encoding with arbitrary k-space trajectories
Externí odkaz:
http://arxiv.org/abs/2008.04308
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Medical Image Analysis December 2021 74
Autor:
Perotti, Luigi E., Verzhbinsky, Ilya A., Moulin, Kévin, Cork, Tyler E., Loecher, Michael, Balzani, Daniel, Ennis, Daniel B.
Publikováno v:
In Medical Image Analysis February 2021 68
Publikováno v:
Magnetic Resonance in Medicine; Aug2024, Vol. 92 Issue 2, p573-585, 13p
Autor:
Chiang, Jason, Loecher, Michael, Moulin, Kevin, Meloni, M. Franca, Raman, Steven S., McWilliams, Justin P., Ennis, Daniel B., Lee, Edward W.
Publikováno v:
In Journal of Vascular and Interventional Radiology October 2020 31(10):1691-1696