| Eleven grand challenges in single-cell data science D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ... Genome biology 21 (1), 1-35, 2020 | 1033 | 2020 |
| ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning A Rączkowska, M Możejko, J Zambonelli, E Szczurek Scientific reports 9 (1), 14347, 2019 | 126 | 2019 |
| Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer A Rączkowska, I Paśnik, M Kukiełka, M Nicoś, MA Budzinska, ... BMC Cancer, 2022 | 18 | 2022 |
| Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data A Geras, S Darvish Shafighi, K Domżał, I Filipiuk, A Rączkowska, ... Genome Biology 24 (1), 120, 2023 | 10 | 2023 |
| Visual recommendation use case for an online marketplace platform: allegro. pl A Wróblewska, A Rączkowska Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 10 | 2016 |
| AlleNoise - large-scale text classification benchmark dataset with real-world label noise A Rączkowska, A Osowska-Kurczab, J Szczerbiński, K Jasinska-Kobus, ... arXiv preprint arXiv:2407.10992, 2024 | | 2024 |
| Computational methods for analysis of the tumor microenvironment in histopathological images A Rączkowska University of Warsaw, 2023 | | 2023 |
| Tumoroscope: a probabilistic model for mapping cancer clones in tumor tissues SD Shafighi, A Geras, B Jurzysta, AS Naeini, I Filipiuk, A Rączkowska, ... bioRxiv, 2022 | | 2022 |
Ewa SzczurekAssociate Professor at University of Warsaw / Institute AI for Health, Helmholtz Zentrum München在 mimuw.edu.pl 的电子邮件经过验证
