Donna P. Ankerst

According to our database, Donna P. Ankerst authored at least 4 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient.

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

CoRR, 2021

2020

Validity of machine learning in biology and medicine increased through collaborations across fields of expertise.

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

Nat. Mach. Intell., 2020

2016

Three general concepts to improve risk prediction: good data, wisdom of the crowd, recalibration.

Ivan Kondofersky, Michael Laimighofer, Christoph Kurz, Norbert Krautenbacher, Julia F. Söllner, Philip Dargatz, Hagen Scherb, Donna P. Ankerst, Christiane Fuchs

F1000Research, 2016

2015

Improving patient prostate cancer risk assessment: Moving from static, globally-applied to dynamic, practice-specific risk calculators.

Andreas N. Strobl, Andrew J. Vickers, Ben Van Calster, Ewout W. Steyerberg, Robin J. Leach, Ian M. Thompson, Donna P. Ankerst

J. Biomed. Informatics, 2015