Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Thomas Dratsch"'
Autor:
Thomas Dratsch, Charlotte Zäske, Florian Siedek, Philip Rauen, Nils Große Hokamp, Kristina Sonnabend, David Maintz, Grischa Bratke, Andra Iuga
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-9 (2024)
Abstract Background To investigate the potential of combining compressed sensing (CS) and artificial intelligence (AI), in particular deep learning (DL), for accelerating three-dimensional (3D) magnetic resonance imaging (MRI) sequences of the knee.
Externí odkaz:
https://doaj.org/article/f45b855c05fc4ed383c699c40c31918d
Autor:
Thomas Dratsch, Florian Siedek, Charlotte Zäske, Kristina Sonnabend, Philip Rauen, Robert Terzis, Robert Hahnfeldt, David Maintz, Thorsten Persigehl, Grischa Bratke, Andra Iuga
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-13 (2023)
Abstract Background To investigate the potential of combining compressed sensing (CS) and deep learning (DL) for accelerated two-dimensional (2D) and three-dimensional (3D) magnetic resonance imaging (MRI) of the shoulder. Methods Twenty healthy volu
Externí odkaz:
https://doaj.org/article/4ee79a3ac467424f988381273a325594
Autor:
Mohammad H. Rezazade Mehrizi, Ferdinand Mol, Marcel Peter, Erik Ranschaert, Daniel Pinto Dos Santos, Ramin Shahidi, Mansoor Fatehi, Thomas Dratsch
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Various studies have shown that medical professionals are prone to follow the incorrect suggestions offered by algorithms, especially when they have limited inputs to interrogate and interpret such suggestions and when they have an attitude
Externí odkaz:
https://doaj.org/article/d9183b2a568a4e4d88eb6a299e9ec50f
Autor:
Justus F. Toader, Robert Kleinert, Thomas Dratsch, Louisa Fettweis, Nadja Jakovljevic, Martina Graupner, Moritz Zeeh, Anna C. Kroll, Hans F. Fuchs, Roger Wahba, Patrick Plum, Christiane J. Bruns, Rabi R. Datta
Publikováno v:
BMC Medical Education, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background The usage of smartphones in the daily clinical routine is an essential aspect however it seems that they also present an important distractor that needs to be evaluated. The aim of this prospective study was the evaluation of the
Externí odkaz:
https://doaj.org/article/f6d0200ea09c47c7b1cd1f830f96f745
Autor:
Nedim Christoph Beste, Xue Davis, Roman Kloeckner, Erkan Celik, Michael Korenkov, David Maintz, Thomas Dratsch, Daniel Pinto dos Santos
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-7 (2022)
Abstract Background Twitter has become one of the most important social media platforms in science communication. During scientific conferences, Twitter can facilitate the communication between audience and speakers present at the venue and can exten
Externí odkaz:
https://doaj.org/article/1ba2f2023f8e4ca388429a188bd2c4f9
Publikováno v:
Insights into Imaging, Vol 11, Iss 1, Pp 1-8 (2020)
Abstract Objectives To analyze all artificial intelligence abstracts presented at the European Congress of Radiology (ECR) 2019 with regard to their topics and their adherence to the Standards for Reporting Diagnostic accuracy studies (STARD) checkli
Externí odkaz:
https://doaj.org/article/1be26bfd5a88426aa717f3e7968787cd
Autor:
Fabian Stoehr, Roman Kloeckner, Daniel Pinto dos Santos, Mira Schnier, Lukas Müller, Aline Mähringer-Kunz, Thomas Dratsch, Sebastian Schotten, Arndt Weinmann, Peter Robert Galle, Jens Mittler, Christoph Düber, Felix Hahn
Publikováno v:
Cancers, Vol 14, Iss 24, p 6036 (2022)
Portal vein infiltration (PVI) is a typical complication of HCC. Once diagnosed, it leads to classification as BCLC C with an enormous impact on patient management, as systemic therapies are henceforth recommended. Our aim was to investigate whether
Externí odkaz:
https://doaj.org/article/547c2a336d304473a1dff6a5de1bcd90
Autor:
Daniel Pinto dos Santos, Sebastian Brodehl, Bettina Baeßler, Gordon Arnhold, Thomas Dratsch, Seung-Hun Chon, Peter Mildenberger, Florian Jungmann
Publikováno v:
Insights into Imaging, Vol 10, Iss 1, Pp 1-8 (2019)
Abstract Background Data used for training of deep learning networks usually needs large amounts of accurate labels. These labels are usually extracted from reports using natural language processing or by time-consuming manual review. The aim of this
Externí odkaz:
https://doaj.org/article/efd6c3aab9f34829856ba2ddcff03115
Autor:
Rabi Datta, Seung-Hun Chon, Thomas Dratsch, Ferdinand Timmermann, Luise Müller, Patrick Sven Plum, Stefan Haneder, Daniel Pinto Dos Santos, Martin Richard Späth, Roger Wahba, Christiane Josephine Bruns, Robert Kleinert
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0232341 (2020)
BackgroundBoth laparoscopic surgery and computer games make similar demands on eye-hand coordination and visuospatial cognitive ability. A possible connection between both areas could be used for the recruitment and training of future surgery residen
Externí odkaz:
https://doaj.org/article/d5e419236f664890944c481d035e6cc4
Publikováno v:
PLoS ONE, Vol 9, Iss 6, p e98297 (2014)
Reputation systems as well as seller depictions (photos; avatars) have been shown to reduce buyer uncertainty and to foster trust in online trading. With the emergence of globalized e-markets, it remains an urgent question whether these mechanisms, f
Externí odkaz:
https://doaj.org/article/41db6d63b27943deb1a2245304a2d0e0