Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Fabian Wagner"'
Autor:
Laura Pfaff, Omar Darwish, Fabian Wagner, Mareike Thies, Nastassia Vysotskaya, Julian Hossbach, Elisabeth Weiland, Thomas Benkert, Cornelius Eichner, Dominik Nickel, Tobias Wuerfl, Andreas Maier
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Diffusion-weighted imaging (DWI) is a magnetic resonance imaging (MRI) technique that provides information about the Brownian motion of water molecules within biological tissues. DWI plays a crucial role in stroke imaging and oncology, but i
Externí odkaz:
https://doaj.org/article/bdafc764f2a24d55b2e8fca0b5d140a4
Autor:
Nicolai Franzmeier, Amir Dehsarvi, Anna Steward, Davina Biel, Anna Dewenter, Sebastian Niclas Roemer, Fabian Wagner, Mattes Groß, Matthias Brendel, Alexis Moscoso, Prithvi Arunachalam, Kaj Blennow, Henrik Zetterberg, Michael Ewers, Michael Schöll
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract In Alzheimer’s disease, amyloid-beta (Aβ) triggers the trans-synaptic spread of tau pathology, and aberrant synaptic activity has been shown to promote tau spreading. Aβ induces aberrant synaptic activity, manifesting in increases in the
Externí odkaz:
https://doaj.org/article/805dd9e85c8145c99b2ccade83ebcf4a
Autor:
Fabian Wagner
Publikováno v:
Financial Innovation, Vol 10, Iss 1, Pp 1-32 (2024)
Abstract The growing demand for digital investment advisory services and the advancing technological process led to increased attention to this topic in recent literature. In light of these developments, the question arises whether conventional and d
Externí odkaz:
https://doaj.org/article/cafd9792fead4f159c67290575477950
Autor:
Laura Pfaff, Julian Hossbach, Elisabeth Preuhs, Fabian Wagner, Silvia Arroyo Camejo, Stephan Kannengiesser, Dominik Nickel, Tobias Wuerfl, Andreas Maier
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Thermal noise caused by the imaged object is an intrinsic limitation in magnetic resonance imaging (MRI), resulting in an impaired clinical value of the acquisitions. Recently, deep learning (DL)-based denoising methods achieved promising re
Externí odkaz:
https://doaj.org/article/9644fbe55ca643cfbb163413a8e3d8f7
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-7 (2023)
Abstract Different approaches to quantum gravity converge in predicting the existence of a minimal scale of length. This raises the fundamental question as to whether and how an intrinsic limit to spatial resolution can affect quantum mechanical obse
Externí odkaz:
https://doaj.org/article/1fd188f8462f4512b948470b2593f519
Autor:
Fabian Wagner
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 83, Iss 2, Pp 1-9 (2023)
Abstract Minimal and maximal uncertainties of position measurements are widely considered possible hallmarks of low-energy quantum as well as classical gravity. While General Relativity describes interactions in terms of spatial curvature, its quantu
Externí odkaz:
https://doaj.org/article/9bbffc8ae8e44ca9806ecd08355a85b5
Publikováno v:
Physics Letters B, Vol 845, Iss , Pp 138131- (2023)
In this paper, we investigate the consequences of maximal length as well as minimal momentum scales on nonlocal correlations shared by two parties of a bipartite quantum system. To this aim, we rely on a general phenomenological scheme which is usual
Externí odkaz:
https://doaj.org/article/ddd31cfb871344378a436f7a98dcbd51
Autor:
Muye Ru, Drew Shindell, Joseph V. Spadaro, Jean-François Lamarque, Ariyani Challapalli, Fabian Wagner, Gregor Kiesewetter
Publikováno v:
Environment International, Vol 179, Iss , Pp 108122- (2023)
Background: Morbidity burdens from ambient air pollution are associated with market and non-market costs and are therefore important for policymaking. The estimation of morbidity burdens is based on concentration–response functions (CRFs). Most exi
Externí odkaz:
https://doaj.org/article/6f7a9ab9afea4245bbc838b621f11cd0
Autor:
Balaka Dutta, Konstantin Root, Ingrid Ullmann, Fabian Wagner, Martin Mayr, Mathias Seuret, Mareike Thies, Daniel Stromer, Vincent Christlein, Jan Schür, Andreas Maier, Yixing Huang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be o
Externí odkaz:
https://doaj.org/article/96de7ce983b74b0f9ac1be755ef06162
Autor:
Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas Maier
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Low-dose computed tomography (CT) denoising algorithms aim to enable reduced patient dose in routine CT acquisitions while maintaining high image quality. Recently, deep learning (DL)-based methods were introduced, outperforming conventional
Externí odkaz:
https://doaj.org/article/833a88eaac4745fdbb3084d4cfa806eb