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 Imagesnpj 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 ImagesJuly, 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] 