Publications
Eminaga, O.; Saad, F.; Tian, Z.; Wolffgang, U.; Karakiewicz, P. I.; Azzi, F.; Spieker, T.; Helmke, B. M.; Graefen, M.; Jiang, X.; Xing, L.; Witt, J. H.; Trudel, D.; Leyh-Bannurah, S.-R.:
Artificial Intelligence Unravels Interpretable Malignancy Grades of Prostate Cancer on Histology Images
npj Imaging, March, 2024.
Eminaga, O.; Saad, F.; Tian, Z.; Wolffgang, U.; Karakiewicz, P. I.; Ouelett, V.; Azzi, F.; Spieker, T.; Helmke, B. M.; Graefen, M.; Jiang, X.; Xing, L.; Witt, J. H.; Trudel, D.; Leyh-Bannurah, S.-R.:
Artificial Intelligence Helps to Predict Recurrence and Mortality for Prostate Cancer Using Histology Images
July, 2023.
Leyh-Bannurah, S.-R.; Wolffgang, U.; Schmitz, J.; Ouelett, V.; Azzi, F.; Tian, Z.; Helmke, B.; Graefen, M.; Budäus, L.; Karakiewicz, P.I.; Trudel, D.; Saad, F.:
State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation?
Journal of Urology Supplements, May 2020.
Leyh-Bannurah, S.-R.; Wolffgang, U.; Schmitz, J.; Ouelett, V.; Azzi, F.; Tian, Z.; Helmke, B.; Graefen, M.; Budäus, L.; Karakiewicz, P.I.; Trudel, D.; Saad, F.:
State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation?
European Urology Supplements, March 2020.
Leyh-Bannurah, S.-R.;
Tian, Z.;
Karakiewicz, P.I.;
Wolffgang, U.;
Sauter, G.;
Fisch, M.;
Pehrke, D.;
Huland, H.;
Graefen, M.;
Budäus, L.:
Deep Learning for Natural Language Processing in Urology: State-of-the-Art Automated Extraction of Detailed Pathologic Prostate Cancer Data From Narratively Written Electronic Health Records.
JCO Clinical Cancer Informatics, Issue 2.
[bib]
Leyh-Bannurah, S.-R.;
Tian, Z.;
Karakiewicz, P.I.;
Wolffgang, U.;
Pehrke, D.;
Fisch, M.;
Huland, H.;
Graefen, M.;
Budäus, L.:
MP70-01 STATE-OF-THE-ART AUTOMATED EXTRACTION OF DETAILED PATHOLOGICAL DATA FROM NARRATIVELY WRITTEN ELECTRONIC HEALTH RECORDS.
The Journal of Urology, Volume 199, Issue 4, e934.
[bib]
Leyh-Bannurah, S.-R.;
Tian, Z.;
Karakiewicz, P.I.;
Wolffgang, U.;
Pehrke, D.;
Fisch, M.;
Huland, H.;
Graefen, M.;
Budäus, L.:
State-of-the-art automated extraction of detailed pathological data from narratively written electronic health records.
European Urology Supplements 17(2):e1209, March 2018.
[bib]
Wolffgang, U.:
A Multi-Agent Non-Stochastic Economic Simulator.
Proc. of the 21st Int. Conf. on Computing in Economics and Finance (CEF 2015), June 2015.
[pdf, bib, repo]
Heitkötter, H.;
Majchrzak, T. A.;
Wolffgang, U.;
Kuchen, H.:
Business Apps: Grundlagen und Status quo.
Working Papers des Förderkreis der Angewandten Informatik an der WWU Münster e. V., Nr. 4, Münster (2012).
[pdf, bib]
Wolffgang, U.:
Multi-Platform Model-Driven Software Development of Web Applications.
Proc. of the 6th Int. Conf. on Software and Data Technologies (ICSOFT 2011), INSTICC Press, July 2011, S. 162-171.
[pdf, bib]
Wolffgang, U.:
Ein Generator-Framework zur modellgetriebenen Entwicklung von Web-Applikationen.
WIRTSCHAFTSINFORMATIK & MANAGEMENT (2010), Nr. 6, December, S. 26-34.
[bib]
Wolffgang, U.:
Web Application Specification Language (WASL) Technical Report 1.0.
(2009), Technical Report.
[pdf, bib, metamodels]
Wolffgang, U.;
Kuchen, H.:
Web Application Modeling Language.
(2008), Technical Report.
[pdf, bib]
