Towards four dimensional visualization of air-water gas exchange - Darya Trofimova (2015)

Multilevel ensembling for local climate zones classification. - Sergey Sukhanov; Ivan Tankoyeu; Jérôme Louradour; Roel Heremans; Darya Trofimova; Christian Debes (IGARSS, 2017)

Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks. - Darya Trofimova; Tim Adler; Lisa Kausch; Lynton Ardizzone; Klaus H. Maier-Hein; Ullrich Köthe; Carsten Rother; Lena Maier-Hein (CoRR, 2020)

How can we learn (more) from challenges? A statistical approach to driving future algorithm development. - Tobias Roß; Pierangela Bruno; Annika Reinke; Manuel Wiesenfarth; Lisa Koeppel; Peter M. Full; Bünyamin Pekdemir; Patrick Godau; Darya Trofimova; Fabian Isensee; Sara Moccia; Francesco Calimeri; et al. (CoRR, 2021)

Classification of diffraction patterns using a convolutional neural network in single particle imaging experiments performed at X-ray free-electron lasers. - Dameli Assalauova; Alexandr Ignatenko; Fabian Isensee; Sergey A. Bobkov; Darya Trofimova; Ivan A. Vartanyants (CoRR, 2021)

Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads. - René Caspart; Sebastian Ziegler; Arvid Weyrauch; Holger Obermaier; Simon Raffeiner; Leon Pascal Schuhmacher; Jan Scholtyssek; Darya Trofimova; Marco Nolden; Ines Reinartz; Fabian Isensee; Markus Götz; et al. (ISC Workshops, 2022)

Beyond rankings: Learning (more) from algorithm validation. - Tobias Roß; Pierangela Bruno; Annika Reinke; Manuel Wiesenfarth; Lisa Koeppel; Peter M. Full; Bünyamin Pekdemir; Patrick Godau; Darya Trofimova; Fabian Isensee; Tim J. Adler; Thuy Nuong Tran; et al. (Medical Image Anal., 2023)