Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Guido Boening"'
Autor:
Mathias J. Zacherl, Agus Simenhandra, Magdalena Lindner, Peter Bartenstein, Andrei Todica, Guido Boening, Maximilian Fischer
Publikováno v:
EJNMMI Research, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Background Several software tools have been developed for gated PET imaging that use distinct algorithms to analyze tracer uptake, myocardial perfusion, and left ventricle volumes and function. Studies suggest that different software tools c
Externí odkaz:
https://doaj.org/article/5d294833a62945efac78e1f33106bad3
Autor:
François Ruch, Johannes Gnörich, Karin Wind, Mara Köhler, Artem Zatcepin, Thomas Wiedemann, Franz-Joseph Gildehaus, Simon Lindner, Guido Boening, Barbara von Ungern-Sternberg, Leonie Beyer, Jochen Herms, Peter Bartenstein, Matthias Brendel, Florian Eckenweber
Publikováno v:
NeuroImage, Vol 286, Iss , Pp 120513- (2024)
Among functional imaging methods, metabolic connectivity (MC) is increasingly used for investigation of regional network changes to examine the pathophysiology of neurodegenerative diseases such as Alzheimer's disease (AD) or movement disorders. Hith
Externí odkaz:
https://doaj.org/article/ff0ded87059447c5b1e4e71cf7a2f654
Autor:
Adrian Jun Zounek, Nathalie Lisa Albert, Adrien Holzgreve, Marcus Unterrainer, Julia Brosch-Lenz, Simon Lindner, Andreas Bollenbacher, Guido Boening, Rainer Rupprecht, Matthias Brendel, Louisa von Baumgarten, Joerg-Christian Tonn, Peter Bartenstein, Sibylle Ziegler, Lena Kaiser
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 33, Iss 1, Pp 91-102 (2023)
Introduction: Large datasets are required to ensure reliable non-invasive glioma assessment with radiomics-based machine learning methods. This can often only be achieved by pooling images from different centers. Moreover, trained models should perfo
Externí odkaz:
https://doaj.org/article/a511eca412ca469481eb848eddd5a508
Autor:
Letizia Vogler, Anna Ballweg, Bernd Bohr, Nils Briel, Karin Wind, Melissa Antons, Lea H. Kunze, Johannes Gnörich, Simon Lindner, Franz-Josef Gildehaus, Karlheinz Baumann, Peter Bartenstein, Guido Boening, Sibylle I. Ziegler, Johannes Levin, Andreas Zwergal, Günter U. Höglinger, Jochen Herms, Matthias Brendel
Publikováno v:
NeuroImage: Clinical, Vol 39, Iss , Pp 103484- (2023)
Objective: In preclinical research, the use of [18F]Fluorodesoxyglucose (FDG) as a biomarker for neurodegeneration may induce bias due to enhanced glucose uptake by immune cells. In this study, we sought to investigate synaptic vesicle glycoprotein 2
Externí odkaz:
https://doaj.org/article/e04b066b10e24880aff8602e5be0aa58
Autor:
Florian Eckenweber, Jose Medina-Luque, Tanja Blume, Christian Sacher, Gloria Biechele, Karin Wind, Maximilian Deussing, Nils Briel, Simon Lindner, Guido Boening, Barbara von Ungern-Sternberg, Marcus Unterrainer, Nathalie L. Albert, Andreas Zwergal, Johannes Levin, Peter Bartenstein, Paul Cumming, Axel Rominger, Günter U. Höglinger, Jochen Herms, Matthias Brendel
Publikováno v:
Journal of Neuroinflammation, Vol 17, Iss 1, Pp 1-12 (2020)
Abstract Background P301S tau transgenic mice show age-dependent accumulation of neurofibrillary tangles in the brainstem, hippocampus, and neocortex, leading to neuronal loss and cognitive deterioration. However, there is hitherto only sparse docume
Externí odkaz:
https://doaj.org/article/1b364b3e44d84253a2350b7d953a9f3d
Autor:
Matthias Brendel, Maximilian Deussing, Tanja Blume, Lena Kaiser, Federico Probst, Felix Overhoff, Finn Peters, Barbara von Ungern-Sternberg, Sergey Ryazanov, Andrei Leonov, Christian Griesinger, Andreas Zwergal, Johannes Levin, Peter Bartenstein, Igor Yakushev, Paul Cumming, Guido Boening, Sibylle Ziegler, Jochen Herms, Armin Giese, Axel Rominger
Publikováno v:
Alzheimer’s Research & Therapy, Vol 11, Iss 1, Pp 1-11 (2019)
Abstract Background Augmenting the brain clearance of toxic oligomers with small molecule modulators constitutes a promising therapeutic concept against tau deposition. However, there has been no test of this concept in animal models of Alzheimer’s
Externí odkaz:
https://doaj.org/article/3b973999c8e94cd6996a2a71167a7056
Autor:
Maximilian Fischer, Mathias J. Zacherl, Jessica Olivier, Simon Lindner, Steffen Massberg, Peter Bartenstein, Freba Grawe, Sibylle Ziegler, Matthias Brendel, Sebastian Lehner, Guido Boening, Andrei Todica
Publikováno v:
Annals of Nuclear Medicine. 37:34-43
Objective Myocardial infarction leads to ischemic heart disease and cell death, which is still a major obstacle in western society. In vivo imaging of apoptosis, a defined cascade of cell death, could identify myocardial tissue at risk. Methods Using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b746c55c3561ac816005c1e80b2741c5
https://doi.org/10.1007/s12149-022-01801-0
https://doi.org/10.1007/s12149-022-01801-0
Autor:
Maximilian Fischer, Tobias Weinberger, Denise Messerer, Mathias J. Zacherl, Christian Schulz, Steffen Massberg, Peter Bartenstein, Sebastian Lehner, Guido Boening, Andrei Todica
Publikováno v:
Annals of Nuclear Medicine. 36:533-543
Objective Animal models for myocardial injuries represent important cornerstones in cardiovascular research to monitor the pathological processes and therapeutic approaches. We investigated the association of 18F-FDG derived left ventricular metaboli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc7e34cb13a9186b665b2a2eab7fa8d0
https://doi.org/10.1007/s12149-022-01734-8
https://doi.org/10.1007/s12149-022-01734-8
Autor:
Maximilian Fischer, Jessica Olivier, Simon Lindner, Mathias J. Zacherl, Steffen Massberg, Peter Bartenstein, Sibylle Ziegler, Matthias Brendel, Sebastian Lehner, Guido Boening, Andrei Todica
Publikováno v:
Molecular Imaging and Biology. 24:666-674
Purpose The loss of viable cardiac cells and cell death by myocardial infarction (MI) is still a significant obstacle in preventing deteriorating heart failure. Imaging of apoptosis, a defined cascade to cell death, could identify areas at risk. Proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a440f70980c5074013081be177e723e
https://doi.org/10.1007/s11307-022-01718-0
https://doi.org/10.1007/s11307-022-01718-0
Autor:
Adrian Jun Zounek, Nathalie Lisa Albert, Adrien Holzgreve, Marcus Unterrainer, Julia Brosch-Lenz, Simon Lindner, Andreas Bollenbacher, Guido Boening, Rainer Rupprecht, Matthias Brendel, Louisa von Baumgarten, Joerg-Christian Tonn, Peter Bartenstein, Sibylle Ziegler, Lena Kaiser
Background: Large datasets are required to ensure reliable non-invasive glioma assessment with radiomics-based machine learning methods. This can often only be achieved by pooling images from different centers. Moreover, trained models should perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fd0979faa148b96c2e96efa72393b9d
https://doi.org/10.21203/rs.3.rs-1795449/v1
https://doi.org/10.21203/rs.3.rs-1795449/v1
