Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Birk, Florian"'
Autor:
Mahler, Lucas, Steiglechner, Julius, Bender, Benjamin, Lindig, Tobias, Ramadan, Dana, Bause, Jonas, Birk, Florian, Heule, Rahel, Charyasz, Edyta, Erb, Michael, Kumar, Vinod Jangir, Hagberg, Gisela E, Martin, Pascal, Lohmann, Gabriele, Scheffler, Klaus
The UltraCortex repository (https://www.ultracortex.org) houses magnetic resonance imaging data of the human brain obtained at an ultra-high field strength of 9.4 T. It contains 86 structural MR images with spatial resolutions ranging from 0.6 to 0.8
Externí odkaz:
http://arxiv.org/abs/2406.18571
Autor:
Wang, Qi, Mahler, Lucas, Steiglechner, Julius, Birk, Florian, Scheffler, Klaus, Lohmann, Gabriele
MRI super-resolution (SR) and denoising tasks are fundamental challenges in the field of deep learning, which have traditionally been treated as distinct tasks with separate paired training data. In this paper, we propose an innovative method that ad
Externí odkaz:
http://arxiv.org/abs/2308.12084
Autor:
Mahler, Lucas, Wang, Qi, Steiglechner, Julius, Birk, Florian, Heczko, Samuel, Scheffler, Klaus, Lohmann, Gabriele
Autism spectrum disorder (ASD) is a prevalent psychiatric condition characterized by atypical cognitive, emotional, and social patterns. Timely and accurate diagnosis is crucial for effective interventions and improved outcomes in individuals with AS
Externí odkaz:
http://arxiv.org/abs/2307.01759
Autor:
Wang, Qi, Mahler, Lucas, Steiglechner, Julius, Birk, Florian, Scheffler, Klaus, Lohmann, Gabriele
Learning based single image super resolution (SISR) task is well investigated in 2D images. However, SISR for 3D Magnetics Resonance Images (MRI) is more challenging compared to 2D, mainly due to the increased number of neural network parameters, the
Externí odkaz:
http://arxiv.org/abs/2303.13900
Autor:
Birk, Florian, Glang, Felix, Loktyushin, Alexander, Birkl, Christoph, Ehses, Philipp, Scheffler, Klaus, Heule, Rahel
We suggest to utilize the rich information content about microstructural tissue properties entangled in asymmetric balanced steady-state free precession (bSSFP) profiles to estimate multiple diffusion metrics simultaneously by neural network (NN) par
Externí odkaz:
http://arxiv.org/abs/2109.07272
Autor:
Orban, Axel, Jerschow, Jeanny Jaline, Birk, Florian, Suarez, Christian, Schnell, Sylvia, Rühl, Martin
Publikováno v:
In Microbiological Research January 2023 266
Autor:
Zhang, Yanyan, Fraatz, Marco Alexander, Birk, Florian, Rigling, Marina, Hammer, Andreas, Zorn, Holger
Publikováno v:
In Food Chemistry 15 November 2018 266:475-482
Autor:
Birk, Florian1 (AUTHOR), Brescia, Fabio F.1 (AUTHOR), Fraatz, Marco A.1 (AUTHOR), Pelzer, Ralf2 (AUTHOR), Zorn, Holger1,3 (AUTHOR) Holger.Zorn@uni-giessen.de
Publikováno v:
Flavour & Fragrance Journal. Sep2021, Vol. 36 Issue 5, p605-612. 8p.
Akademický článek
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Autor:
Birk, Florian, Glang, Felix, Loktyushin, Alexander, Birkl, Christoph, Ehses, Philipp, Scheffler, Klaus, Heule, Rahel
Publikováno v:
NMR in Biomedicine
NMR in biomedicine 35(6), e4669 (2022). doi:10.1002/nbm.4669
NMR in biomedicine 35(6), e4669 (2022). doi:10.1002/nbm.4669
We propose to utilize the rich information content about microstructural tissue properties entangled in asymmetric balanced steady-state free precession (bSSFP) profiles to estimate multiple diffusion metrics simultaneously by neural network (NN) par