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ORCIDNatalie D. ter Hoeve
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2020 – today
- 2022
[i3]Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch
, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger:
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR abs/2204.03742 (2022)- 2021
- [i2]Marc Aubreville, Christof Bertram, Mitko Veta, Robert Klopfleisch, Nikolas Stathonikos, Katharina Breininger, Natalie D. ter Hoeve, Francesco Ciompi, Andreas Maier:
Quantifying the Scanner-Induced Domain Gap in Mitosis Detection. CoRR abs/2103.16515 (2021) - 2020
- [i1]Suzanne C. Wetstein, Nikolas Stathonikos, Josien P. W. Pluim, Yujing J. Heng, Natalie D. ter Hoeve, Celien P. H. Vreuls, Paul J. van Diest, Mitko Veta:
Deep Learning-Based Grading of Ductal Carcinoma In Situ in Breast Histopathology Images. CoRR abs/2010.03244 (2020)
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