Zobrazeno 1 - 10
of 546
pro vyhledávání: '"Loecher, A."'
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:
In Information Sciences February 2025 690
Publikováno v:
In Asian Journal of Urology July 2024 11(3):366-372
Autor:
Lee, Matthew, Nagoda, Elizabeth, Strauss, David, Loecher, Matthew, Stifelman, Michael, Zhao, Lee
Publikováno v:
In Asian Journal of Urology July 2024 11(3):373-376
Autor:
Kristin Kosyluk, Tanner Baeder, Karah Yeona Greene, Jennifer T Tran, Cassidy Bolton, Nele Loecher, Daniel DiEva, Jerome T Galea
Publikováno v:
JMIR Formative Research, Vol 8, p e45959 (2024)
BackgroundFor almost two decades, researchers and clinicians have argued that certain aspects of mental health treatment can be removed from clinicians’ responsibilities and allocated to technology, preserving valuable clinician time and alleviatin
Externí odkaz:
https://doaj.org/article/a06e6c5ed5464325b0f490fbf9458bbc
Autor:
Loecher, Markus, Wu, Qi
Tree-based algorithms such as random forests and gradient boosted trees continue to be among the most popular and powerful machine learning models used across multiple disciplines. The conventional wisdom of estimating the impact of a feature in tree
Externí odkaz:
http://arxiv.org/abs/2108.06201
Autor:
Judith Zimmermann, Kathrin Bäumler, Michael Loecher, Tyler E. Cork, Alison L. Marsden, Daniel B. Ennis, Dominik Fleischmann
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract 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 te
Externí odkaz:
https://doaj.org/article/abd89e8a010d4486a47a28c9fda86b13
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
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100924- (2024)
Externí odkaz:
https://doaj.org/article/73a7bf0485b1442a9e1d864d2f506ba3