Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sinan Onogur"'
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:
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Biomedical image analysis challenges have increased in the last ten years, but common practices have not been established yet. Here the authors analyze 150 recent challenges and demonstrate that outcome varies based on the metrics used and that limit
Externí odkaz:
https://doaj.org/article/38c338af34d545ae996e15b163f6024c
Autor:
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro Niessen, Nasir Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-2 (2019)
In the original version of this Article the values in the rightmost column of Table 1 were inadvertently shifted relative to the other columns. This has now been corrected in the PDF and HTML versions of the Article.
Externí odkaz:
https://doaj.org/article/dd90ed1e22204ea3b8b7061d00f522a2
Autor:
Lena Maier-Hein, Dogu Teber, Keno März, Alexander Seitel, Leonardo Ayala, Sinan Onogur, Christina Engels
Publikováno v:
Der Urologe. 59:1035-1043
Fortschritte auf dem Gebiet der Kunstlichen Intelligenz (KI) fuhren dazu, dass auch in der Medizin, insbesondere der Radiologie, ein echter Nutzen fur Arzt und Patient gezogen werden kann. Die zunehmende Vernetzung von Datensystemen in der Medizin fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fe47060963cda62a0a68d734d40e186
https://doi.org/10.1007/s00120-020-01272-z
https://doi.org/10.1007/s00120-020-01272-z
Autor:
Hubertus Feussner, Swaroop Vedula, Ozanan R. Meireles, Nicolas Padoy, Carla M. Pugh, Russell H. Taylor, Duygu Sarikaya, Bernard Gibaud, Jan Goedeke, Pietro Mascagni, Pierre Jannin, Hirenkumar Nakawala, Toby Collins, Beat P. Müller-Stich, Teodor P. Grantcharov, Stamatia Giannarou, Ines Gockel, Gregory D. Hager, Dogu Teber, Doreen Heckmann-Nötzel, Justin W. Collins, Matthias Eisenmann, Lena Maier-Hein, Sinan Onogur, Anand Malpani, Frank Ückert, Hani J. Marcus, Germain Forestier, Luc Joyeux, Daniel R. Leff, Keno März, Daniel A. Hashimoto, Johannes Fallert, Thomas Neumuth, Minu D. Tizabi, Tobias Roß, Makoto Hashizume, Lars Mündermann, Kevin Cleary, Raphael Sznitman, Kyle Lam, Nassir Navab, Alexander Seitel, Martin Wagner, Amin Madani, Stefanie Speidel, Ron Kikinis, Adrian Park, Danail Stoyanov, Gabor Fichtinger, Hannes Kenngott
Publikováno v:
Medical Image Analysis
Medical Image Analysis, 2022, 76, pp.102306. ⟨10.1016/j.media.2021.102306⟩
Medical Image Analysis, Elsevier, 2022, 76, pp.102306. ⟨10.1016/j.media.2021.102306⟩
Medical Image Analysis, 2022, 76, pp.102306. ⟨10.1016/j.media.2021.102306⟩
Medical Image Analysis, Elsevier, 2022, 76, pp.102306. ⟨10.1016/j.media.2021.102306⟩
Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c6ca5440c346224dda18b353e0267d2
https://hal.science/hal-03515942
https://hal.science/hal-03515942
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddc8f8532f2c9a209a5d0b99e93b7798
https://pubmed.ncbi.nlm.nih.gov/35049510
https://pubmed.ncbi.nlm.nih.gov/35049510
Autor:
Annika Reinke, Bram van Ginneken, Annette Kopp-Schneider, Tal Arbel, Anne L. Martel, Matthias Eisenmann, Henning Müller, Allan Hanbury, Pierre Jannin, Sinan Onogur, Julio Saez-Rodriguez, Bennett A. Landman, Michal Kozubek, Lena Maier-Hein
Publikováno v:
Medical Image Analysis
Medical Image Analysis, Elsevier, 2020, 66, pp.101796. ⟨10.1016/j.media.2020.101796⟩
Medical Image Analysis, 66
Medical Image Analysis, 2020, 66, pp.101796. ⟨10.1016/j.media.2020.101796⟩
Medical Image Analysis, Elsevier, 2020, 66, pp.101796. ⟨10.1016/j.media.2020.101796⟩
Medical Image Analysis, 66
Medical Image Analysis, 2020, 66, pp.101796. ⟨10.1016/j.media.2020.101796⟩
Highlights • First guideline for reporting biomedical image analysis challenges • Includes checklist for authors and reviewers
Graphical abstract
The number of biomedical image analysis challenges organized per year is steadily increasi
Graphical abstract
The number of biomedical image analysis challenges organized per year is steadily increasi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c12ba8fb653a3083f2a089bd158e438
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/226195
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/226195
Autor:
Oskar Maier, Carolin Feldmann, Wiro J. Niessen, Bennett A. Landman, Michal Kozubek, Peter M. Full, Christian Stock, Patrick Scholz, Hrvoje Bogunovic, Katrin Honauer, Keno März, Marko Stankovic, Korsuk Sirinukunwattana, Ching-Wei Wang, Henning Müller, Nasir M. Rajpoot, Aaron Carass, Sinan Onogur, Alejandro F. Frangi, Stefanie Speidel, Peter Neher, Bram van Ginneken, Matthias Eisenmann, Pierre Jannin, Bjoern H. Menze, Allan Hanbury, Lena Maier-Hein, Annika Reinke, Guoyan Zheng, Gregory C. Sharp, Danail Stoyanov, Marc-André Weber, Andrew P. Bradley, Abdel Aziz Taha, Tal Arbel, Fons van der Sommen, Klaus H. Maier-Hein, Annette Kopp-Schneider
Publikováno v:
Nature Communications
Nature Communications, 2018, 9 (1), pp.5217. ⟨10.1038/s41467-018-07619-7⟩
Nature Communications, Nature Publishing Group, 2018, 9 (1), pp.5217. ⟨10.1038/s41467-018-07619-7⟩
Nature Communications, 9
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Nature Communications, 9:5217. Nature Publishing Group
Nature Communications, 9(1):5217. Nature Publishing Group
Nature Communications, 2018, 9 (1), pp.5217. ⟨10.1038/s41467-018-07619-7⟩
Nature Communications, Nature Publishing Group, 2018, 9 (1), pp.5217. ⟨10.1038/s41467-018-07619-7⟩
Nature Communications, 9
Nature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
Nature Communications, 9:5217. Nature Publishing Group
Nature Communications, 9(1):5217. Nature Publishing Group
International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of common practices related to the organization of challenges has not yet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::081fe9896f11b112e019a883fdc3920b
https://hal.science/hal-01958848
https://hal.science/hal-01958848
Autor:
Andrew P. Bradley, Abdel Aziz Taha, Oskar Maier, Sinan Onogur, Peter M. Full, Fons van der Sommen, Patrick Scholz, Nasir M. Rajpoot, Klaus H. Maier-Hein, Stefanie Speidel, Marko Stankovic, Bram van Ginneken, Peter F. Neher, Bennett A. Landman, Michal Kozubek, Alejandro F. Frangi, Christian Stock, Annika Reinke, Annette Kopp-Schneider, Pierre Jannin, Bjoern H. Menze, Carolin Feldmann, Tal Arbel, Aaron Carass, Katrin Honauer, Marc-André Weber, Keno März, Korsuk Sirinukunwattana, Ching-Wei Wang, Gregory C. Sharp, Allan Hanbury, Danail Stoyanov, Wiro J. Niessen, Hrvoje Bogunovic, Matthias Eisenmann, Guoyan Zheng, Lena Maier-Hein, Henning Müller
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-2 (2019)
Nature Communications
Nature Communications
International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of common practices related to the organization of challenges has not yet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5932a9de52752d9892907054e8b9b832
https://doaj.org/article/dd90ed1e22204ea3b8b7061d00f522a2
https://doaj.org/article/dd90ed1e22204ea3b8b7061d00f522a2