Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jasmin Metzger"'
Autor:
Magdalena Görtz, Michael Byczkowski, Mathias Rath, Viktoria Schütz, Philipp Reimold, Claudia Gasch, Tobias Simpfendörfer, Keno März, Alexander Seitel, Marco Nolden, Tobias Ross, Diana Mindroc-Filimon, Dominik Michael, Jasmin Metzger, Sinan Onogur, Stefanie Speidel, Lars Mündermann, Johannes Fallert, Michael Müller, Magnus von Knebel Doeberitz, Dogu Teber, Peter Seitz, Lena Maier-Hein, Stefan Duensing, Markus Hohenfellner
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 1, p e27743 (2022)
BackgroundAlthough digital and data-based technologies are widespread in various industries in the context of Industry 4.0, the use of smart connected devices in health care is still in its infancy. Innovative solutions for the medical environment ar
Externí odkaz:
https://doaj.org/article/7655c25d9c6a4be0b610621cadf536b7
Autor:
Magdalena Görtz, Michael Byczkowski, Mathias Rath, Viktoria Schütz, Philipp Reimold, Claudia Gasch, Tobias Simpfendörfer, Keno März, Alexander Seitel, Marco Nolden, Tobias Ross, Diana Mindroc-Filimon, Dominik Michael, Jasmin Metzger, Sinan Onogur, Stefanie Speidel, Lars Mündermann, Johannes Fallert, Michael Müller, Magnus von Knebel Doeberitz, Dogu Teber, Peter Seitz, Lena Maier-Hein, Stefan Duensing, Markus Hohenfellner
BACKGROUND Although digital and data-based technologies are widespread in various industries in the context of Industry 4.0, the use of smart connected devices in health care is still in its infancy. Innovative solutions for the medical environment a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39504586a864a0467d549ac5b120a880
https://doi.org/10.2196/preprints.27743
https://doi.org/10.2196/preprints.27743
Autor:
Tobias Ross, Dominik Michael, Claudia Gasch, Magnus von Knebel Doeberitz, Tobias Simpfendörfer, Marco Nolden, Viktoria Schütz, Keno März, Johannes Fallert, Michael Byczkowski, Lena Maier-Hein, Dogu Teber, Jasmin Metzger, Lars Mündermann, Sinan Onogur, Stefan Duensing, Markus Hohenfellner, Mathias Rath, Peter Seitz, Magdalena Görtz, Michael Muller, Philipp Reimold, Diana Mindroc-Filimon, Alexander Seitel, Stefanie Speidel
Publikováno v:
JMIR medical informatics. 10(1)
Background Although digital and data-based technologies are widespread in various industries in the context of Industry 4.0, the use of smart connected devices in health care is still in its infancy. Innovative solutions for the medical environment a
Autor:
Jonas Scherer, Jens Kleesiek, Hanno Gao, Klaus H. Maier-Hein, Marco Nolden, Klaus Kades, Peter Neher, Heinz-Peter Schlemmer, Ralf Floca, Verena Schneider, Jasmin Metzger
Publikováno v:
Bildverarbeitung für die Medizin 2021 ISBN: 9783658331979
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
Image analysis is one of the most promising applications of artificial intelligence (AI) in healthcare, potentially improving prediction, diagnosis and treatment of diseases. While scientific advances in this area critically depend on the accessibili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec62efe09319a946370d0691bb087869
https://doi.org/10.1007/978-3-658-33198-6_31
https://doi.org/10.1007/978-3-658-33198-6_31
Autor:
Heinz Peter Schlemmer, Jonas Scherer, Marco Nolden, Klaus Kades, Jens Kleesiek, Jasmin Metzger, Klaus H. Maier-Hein, Dktk Jip Konsortium, Verena Schneider
Publikováno v:
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.
Autor:
Ken Herrmann, Stefan O. Schoenberg, Lale Umutlu, Hans-Ulrich Kauczor, Winfried Brenner, Michael Bock, Klaus Kades, Oliver Th Bethge, Jens Kleesiek, Alexander Radbruch, Christoph Düber, Ralf Floca, Jasmin Metzger, Ralf-Thorsten Hoffmann, Rupert Trager, Jonas Scherer, Thomas J Vogl, Jürgen Hennig, Philipp T. Meyer, Michael Ingrisch, Klaus H. Maier-Hein, Jakob Neubauer, Fabian Bamberg, Konstantin Nikolaou, Marco Reisert, Matthias Eiber, Philipp Mayer, Michael Bach, Marcus R. Makowski, Hans-Wilhelm Müller, Andrei Gafita, Jens-Peter Kühn, Bernd Hamm, Christian la Fougère, Juri Ruf, Heinz-Peter Schlemmer, Robert Seifert, Tristan Anselm Kuder, Verena Schneider, Marco Nolden, Rickmer Braren, Peter Neher, Gerald Antoch, Georgios Kaissis, Peter Bartenstein, Uwe Haberkorn, Oliver Sedlaczek, Tobias Penzkofer, Felix Nensa, Jörg Kotzerke, Andreas M Bucher, Wolfgang A. Weber, Frank Grünwald, Wolfgang G. Kunz, Mathias Schreckenberger, Michael Forsting, Lars Schimmöller, Jens Ricke, Balthasar Maria Schachtner, Roman Kloeckner, Andreas Daul
Publikováno v:
JCO Clinical Cancer Informatics
PURPOSE Image analysis is one of the most promising applications of artificial intelligence (AI) in health care, potentially improving prediction, diagnosis, and treatment of diseases. Although scientific advances in this area critically depend on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b34271c3b9dce7559493eeb5b1a2117
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85095960057
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85095960057
Autor:
Jens Kleesiek, Tobias Norajitra, Jasmin Metzger, Klaus H. Maier-Hein, Tobias Stein, Marco Nolden, Fabian Isensee, Jonas Scherer
Publikováno v:
Informatik aktuell ISBN: 9783658253257
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
Within a clinical image analysis workflow with large data sets of patient images, the assessment, and review of automatically generated segmentation results by medical experts are time constrained. We present a software system able to inspect such qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39772791313f4a6cc181a129f226df7c
https://doi.org/10.1007/978-3-658-25326-4_33
https://doi.org/10.1007/978-3-658-25326-4_33
Autor:
Alexander W. Sauter, Hannes Kenngott, Jasmin Metzger, Felix Wagner, Bram Stieltjes, Johannes Lebert, Matthias Eisenmann, Eric Heim, Alexander Seitel, Keno März, Tobias Roß, Gregor Sommer, Fides Regina Schwartz, Lena Maier-Hein, Andreas Termer
Accurate segmentations in medical images are the foundations for various clinical applications. Advances in machine learning-based techniques show great potential for automatic image segmentation, but these techniques usually require a huge amount of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cbdb4ca5f3c2829cc90fa25bcaf896a
https://europepmc.org/articles/PMC6129178/
https://europepmc.org/articles/PMC6129178/
Autor:
Michael Götz, Klaus H. Maier-Hein, Tobias Norajitra, Jasmin Metzger, Marco Nolden, Jens Petersen, André Klein, Martin Hettich, Caspar J. Goch
Publikováno v:
Bildverarbeitung für die Medizin 2018 ISBN: 9783662565360
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
Modern medical image processing employs an ever widening array of tools on an ever larger pool of data. Development of the tools takes place on a variety of different platforms, determined by external circumstances, such as the availability of necess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa8e3d84173a8192e3a15d4810e62d97
https://doi.org/10.1007/978-3-662-56537-7_82
https://doi.org/10.1007/978-3-662-56537-7_82
Publikováno v:
Informatik aktuell ISBN: 9783662543443
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
The Medical Imaging Interaction Toolkit (MITK) is a powerful tool for image processing and application development with a long history [1, 2]. It provides an easy-to-use superbuild for a variety of development scenarios and a host of customization op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6c86e11dc9bbfdeef114021a2d0a27b
https://doi.org/10.1007/978-3-662-54345-0_8
https://doi.org/10.1007/978-3-662-54345-0_8