Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Jens von Berg"'
Autor:
Kai Scherer, Andre Yaroshenko, Deniz Ali Bölükbas, Lukas B. Gromann, Katharina Hellbach, Felix G. Meinel, Margarita Braunagel, Jens von Berg, Oliver Eickelberg, Maximilian F. Reiser, Franz Pfeiffer, Silke Meiners, Julia Herzen
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
Abstract Accounting for about 1.5 million deaths annually, lung cancer is the prevailing cause of cancer deaths worldwide, mostly associated with long-term smoking effects. Numerous small-animal studies are performed currently in order to better unde
Externí odkaz:
https://doaj.org/article/0613f94baea44e24921db9e16033a475
Autor:
Sven Krönke, Jens von Berg, Matthias Brück, Daniel Bystrov, André Goossen, Tim Harder, Bernd Lundt, Jan Marek May, Nataly Wieberneit, Tobias Wissel, Omar Hertgers, Hildo J. Lamb, Stewart Young
Publikováno v:
Medical Imaging 2022: Image Processing.
Autor:
Philipp Buchberger, Andreas Sauter, Theresa Urban, Franz Pfeiffer, Jens von Berg, Daniela Pfeiffer, Thomas Koehler, Manuela Frank, Alexander A. Fingerle, Rafael Schick, Wolfgang Noichl, Florian T. Gassert, Marcus R. Makowski, Konstantin Willer
Publikováno v:
Radiology. 301(2)
Background X-ray dark-field radiography takes advantage of the wave properties of x-rays, with a relatively high signal in the lungs due to the many air-tissue interfaces in the alveoli. Purpose To describe the qualitative and quantitative characteri
Autor:
Cristian Lorenz, Martin Bergtholdt, Carsten Meyer, Jens von Berg, Alexander Oliver Mader, Jan Modersitzki, Hauke Schramm
Publikováno v:
Computer Vision and Image Understanding. :45-53
The automatic detection and accurate localization of landmarks is a crucial task in medical imaging. It is necessary for tasks like diagnosis, surgical planning, and post-operative assessment. A common approach to localize multiple landmarks is to co
Autor:
Roland Proksa, Manuela Frank, Bernhard Haller, Theresa Urban, Jens von Berg, Franz Pfeiffer, Wolfgang Noichl, Ernst J. Rummeny, Gregor S. Zimmermann, Daniela Pfeiffer, Hanns-Ingo Maack, Pascal Meyer, Julia Herzen, Konstantin Willer, Karsten Rindt, Hubert Hautmann, Bernhard Renger, Andre Yaroshenko, Fabio De Marco, Alexander A. Fingerle, Rafael Schick, Thomas Koehler
Publikováno v:
Imaging.
Autor:
Manuela Frank, Franz Pfeiffer, Bernhard Haller, Thomas Koehler, Theresa Urban, Andreas Sauter, Gregor S. Zimmermann, Daniela Pfeiffer, Jens von Berg, Julia Herzen, Ernst J. Rummeny, Alexander A. Fingerle, Rafael Schick, Wolfgang Noichl, Klaus Jürgen Engel, Konstantin Willer
Publikováno v:
Imaging.
Autor:
Daniel Bystrov, Sven Krönke, Jens von Berg, André Gooßen, Tim Harder, Stewart Young, Nataly Wieberneit, Matthias Brück
Publikováno v:
Medical Imaging: Image Processing
The quality of chest radiographs is a practical issue because deviations from quality standards cost radiologists' time, may lead to misdiagnosis and hold legal risks. Automatic and reproducible assessment of the most important quality figures on eve
Autor:
Astrid Franz, Cristian Lorenz, Tobias Klinder, Christian Buerger, Matthias Lenga, Jens von Berg
Publikováno v:
Medical Imaging: Image Processing
Automatic instance segmentation of individual vertebrae from 3D CT is essential for various applications in orthopedics, neurology, and oncology. In case model-based segmentation (MBS) shall be used to generate a mesh-based representation of the spin
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322250
MICCAI (6)
MICCAI (6)
The fully automatic localization of key points in medical images is an important and active area in applied machine learning, with very large sets of key points still being an open problem. To this end, we extend two general state-of-the-art localiza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12fed522f38627294a3f058cec3c3691
https://doi.org/10.1007/978-3-030-32226-7_43
https://doi.org/10.1007/978-3-030-32226-7_43
Autor:
Harald Ittrich, Gerhard Adam, Michael Grass, Leonhard Steinmeister, Jens von Berg, Tobias Knopp, Ivo M. Baltruschat, Axel Saalbach, Hannes Nickisch
Publikováno v:
Informatik aktuell ISBN: 9783658253257
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
Chest radiography is the most common clinical examination type. To improve the quality of patient care and to reduce workload, researchers started developing methods for automatic pathology classification. In our paper [1], we investigate the effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::451c1093f9c14f12e4dc066c815f773f
https://doi.org/10.1007/978-3-658-25326-4_39
https://doi.org/10.1007/978-3-658-25326-4_39