Zobrazeno 1 - 10
of 332
pro vyhledávání: '"Preuhs A"'
Autor:
Thies, Mareike, Wagner, Fabian, Maul, Noah, Yu, Haijun, Goldmann, Manuela, Schneider, Linda-Sophie, Gu, Mingxuan, Mei, Siyuan, Folle, Lukas, Preuhs, Alexander, Manhart, Michael, Maier, Andreas
Publikováno v:
in IEEE Transactions on Medical Imaging (2024)
Cone-beam computed tomography (CBCT) systems, with their flexibility, present a promising avenue for direct point-of-care medical imaging, particularly in critical scenarios such as acute stroke assessment. However, the integration of CBCT into clini
Externí odkaz:
http://arxiv.org/abs/2401.09283
Autor:
Katharina Preuhs, Daphne Bussink-Voorend, Hilde M van Keulen, Ilona Wildeman, Jeannine Hautvast, Marlies Hulscher, Pepijn van Empelen
Publikováno v:
JMIR Formative Research, Vol 8, p e56390 (2024)
BackgroundSince December 2019, COVID-19 led to a pandemic causing many hospitalizations and deaths. Vaccinations were developed and introduced to control viral transmission. In the Dutch context, the decision to accept vaccination is not mandatory. A
Externí odkaz:
https://doaj.org/article/1a4e900df7e64ca39b0f6dfbf2806770
Research question: How can we establish an AI support for reading of chest X-rays in clinical routine and which benefits emerge for the clinicians and radiologists. Can it perform 24/7 support for practicing clinicians? 2. Findings: We installed an A
Externí odkaz:
http://arxiv.org/abs/2210.10779
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
Autor:
Yoon, Seung Su, Preuhs, Elisabeth, Schmidt, Michaela, Forman, Christoph, Chitiboi, Teodora, Sharma, Puneet, Fernandes, Juliano Lara, Tillmanns, Christoph, Wetzl, Jens, Maier, Andreas
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2023)
Static cardiac imaging such as late gadolinium enhancement, mapping, or 3-D coronary angiography require prior information, e.g., the phase during a cardiac cycle with least motion, called resting phase (RP). The purpose of this work is to propose a
Externí odkaz:
http://arxiv.org/abs/2109.02342
Autor:
Rudolph, Jan, Huemmer, Christian, Preuhs, Alexander, Buizza, Giulia, Hoppe, Boj F., Dinkel, Julien, Koliogiannis, Vanessa, Fink, Nicola, Goller, Sophia S., Schwarze, Vincent, Mansour, Nabeel, Schmidt, Vanessa F., Fischer, Maximilian, Jörgens, Maximilian, Ben Khaled, Najib, Liebig, Thomas, Ricke, Jens, Rueckel, Johannes, Sabel, Bastian O.
Publikováno v:
In Chest July 2024 166(1):157-170
Autor:
Roser, Philipp, Birkhold, Annette, Preuhs, Alexander, Syben, Christopher, Felsner, Lina, Hoppe, Elisabeth, Strobel, Norbert, Korwarschik, Markus, Fahrig, Rebecca, Maier, Andreas
Algorithmic X-ray scatter compensation is a desirable technique in flat-panel X-ray imaging and cone-beam computed tomography. State-of-the-art U-net based image translation approaches yielded promising results. As there are no physics constraints ap
Externí odkaz:
http://arxiv.org/abs/2101.09177
Autor:
Hoppe, Elisabeth, Wetzl, Jens, Roser, Philipp, Felsner, Lina, Preuhs, Alexander, Maier, Andreas
Continuous protocols for cardiac magnetic resonance imaging enable sampling of the cardiac anatomy simultaneously resolved into cardiac phases. To avoid respiration artifacts, associated motion during the scan has to be compensated for during reconst
Externí odkaz:
http://arxiv.org/abs/2012.13700
Autor:
van Keulen, Hilde1, Preuhs, Katharina1, Rijnders, Marlies1, Wils, Angelique2, Nieuwenhuijze, Marianne3, Abouri, Naïma4, van Empelen, Pepijn1
Publikováno v:
Tijdschrift voor Human Factors. apr2024, Vol. 49 Issue 1, p12-19. 8p.
Autor:
Felsner, Lina, Würfl, Tobias, Syben, Christopher, Roser, Philipp, Preuhs, Alexander, Maier, Andreas, Riess, Christian
The reconstruction problem of voxels with individual weightings can be modeled a position- and angle- dependent function in the forward-projection. This changes the system matrix and prohibits to use standard filtered backprojection. In this work we
Externí odkaz:
http://arxiv.org/abs/2010.14205