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Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.

H. Roth, Z. Xu, C. Tor-Díez, R. Sánchez-Jacob, J. Zember, J. Molto, W. Li, S. Xu, B. Turkbey, E. Turkbey, D. Yang, A. Harouni, N. Rieke, S. Hu, F. Isensee, C. Tang, Q. Yu, J. Sölter, T. Zheng, V. Liauchuk, Z. Zhou, J. Moltz, B. Oliveira, Y. Xia, K. Maier-Hein, Q. Li, A. Husch, L. Zhang, V. Kovalev, L. Kang, A. Hering, J. Vilaça, M. Flores, D. Xu, B. Wood, and M. Linguraru. Medical Image Anal., (2022)

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Jens Sölter

Ursachen und Wirkmechanismen der Entstehung von Verzug infolge spanender BearbeitungJ. Sölter. Uni Bremen, (2009)

Ursula Sölter

Wolfgang Sölter

Thomas Sölter

Walter Sölter

Other publications of authors with the same name

PUF modeling attacks: An introduction and overview.U. Rührmair, and J. Sölter. DATE, page 1-6. European Design and Automation Association, (2014)Automatic segmentation of odor maps in the mouse olfactory bulb using regularized non-negative matrix factorization.J. Sölter, J. Schumacher, H. Spors, and M. Schmuker. NeuroImage, (2014)On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets.B. Cruz, J. Sölter, M. Bossa, and A. Husch. CoRR, (2020)Erratum to Äutomatic segmentation of odour maps in the mouse olfactory bulb using regularized non-negative matrix factorization" NeuroImage 98 (2014) 279-288.J. Sölter, J. Schumacher, H. Spors, and M. Schmuker. NeuroImage, (2015)Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models.B. Cruz, M. Bossa, J. Sölter, F. Hertel, and A. Husch. Bildverarbeitung für die Medizin, page 114. Springer, (2022)Power and Timing Side Channels for PUFs and their Efficient Exploitation.U. Rührmair, X. Xu, J. Sölter, A. Mahmoud, F. Koushanfar, and W. Burleson. IACR Cryptol. ePrint Arch., (2013)Efficient Power and Timing Side Channels for Physical Unclonable Functions.U. Rührmair, X. Xu, J. Sölter, A. Mahmoud, M. Majzoobi, F. Koushanfar, and W. Burleson. CHES, volume 8731 of Lecture Notes in Computer Science, page 476-492. Springer, (2014)Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem.B. Cruz, M. Bossa, J. Sölter, and A. Husch. Medical Image Anal., (2021)Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.H. Roth, Z. Xu, C. Tor-Díez, R. Sánchez-Jacob, J. Zember, J. Molto, W. Li, S. Xu, B. Turkbey, E. Turkbey and 26 other author(s). Medical Image Anal., (2022)

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Disambiguation of "Sölter, Jan"

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Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.

Please choose a person to relate this publication to

Jens Sölter

Ursula Sölter

Wolfgang Sölter

Thomas Sölter

Walter Sölter

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sölter, Jan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.

Please choose a person to relate this publication to

Jens Sölter

Ursula Sölter

Wolfgang Sölter

Thomas Sölter

Walter Sölter

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.