Donna P. Ankerst

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 3

Top Topics

Machine Learning And Data Mining

Risk Assessment

Domain Specific Knowledge

Top Venues

Nat. Mach. Intell.

J. Biomed. Informatics

Publications

Florian Kofler, Ivan Ezhov, Fabian Isensee, Fabian Balsiger, Christoph Berger, Maximilian Koerner, Johannes C. Paetzold, Hongwei Li, Suprosanna Shit, Richard McKinley, Spyridon Bakas, Claus Zimmer, Donna P. Ankerst, Jan Kirschke, Benedikt Wiestler, Bjoern H. Menze
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient. CoRR (2021)
Maria Littmann, Katharina Selig, Liel Cohen-Lavi, Yotam Frank, Peter Hönigschmid, Evans Kataka, Anja Mösch, Kun Qian, Avihai Ron, Sebastian Schmid, Adam Sorbie, Liran Szlak, Ayana Dagan-Wiener, Nir Ben-Tal, Masha Y. Niv, Daniel Razansky, Björn W. Schuller, Donna P. Ankerst, Tomer Hertz, Burkhard Rost
Validity of machine learning in biology and medicine increased through collaborations across fields of expertise. Nat. Mach. Intell. 2 (1) (2020)
Ivan Kondofersky, Michael Laimighofer, Christoph Kurz, Norbert Krautenbacher, Julia F. Söllner, Philip Dargatz, Hagen Scherb, Donna P. Ankerst, Christiane Fuchs
Three general concepts to improve risk prediction: good data, wisdom of the crowd, recalibration. F1000Research 5 (2016)
Andreas N. Strobl, Andrew J. Vickers, Ben Van Calster, Ewout W. Steyerberg, Robin J. Leach, Ian M. Thompson, Donna P. Ankerst
Improving patient prostate cancer risk assessment: Moving from static, globally-applied to dynamic, practice-specific risk calculators. J. Biomed. Informatics 56 (2015)