| Kernel self-attention for weakly-supervised image classification using deep multiple instance learning D Rymarczyk, A Borowa, J Tabor, B Zielinski Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 52 | 2021 |
| JUMP Cell Painting dataset: morphological impact of 136,000 chemical and genetic perturbations SN Chandrasekaran, J Ackerman, E Alix, DM Ando, J Arevalo, M Bennion, ... BioRxiv, 2023.03. 23.534023, 2023 | 39 | 2023 |
| Deep learning classification of bacteria clones explained by persistence homology A Borowa, D Rymarczyk, D Ochońska, M Brzychczy-Włoch, B Zieliński 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 8* | 2021 |
| Deep learning models capture histological disease activity in Crohn’s disease and ulcerative colitis with high fidelity D Rymarczyk, W Schultz, A Borowa, JR Friedman, T Danel, P Branigan, ... Journal of Crohn's and Colitis 18 (4), 604-614, 2024 | 6 | 2024 |
| Identifying bacteria species on microscopic polyculture images using deep learning A Borowa, D Rymarczyk, D Ochońska, A Sroka-Oleksiak, ... IEEE Journal of Biomedical and Health Informatics 27 (1), 121-130, 2022 | 2 | 2022 |
| Weakly-supervised cell classification for effective high content screening A Borowa, S Kruczek, J Tabor, B Zieliǹski International Conference on Computational Science, 318-330, 2022 | 1 | 2022 |
| Multimodal Approach to MoA Prediction Based on Cell Painting Imaging and Chemical Structure Data M Koziarski, P Gaiński, K Rataj, A Borowa, K Wójtowicz, J Gwóźdź, ... ELRIG, 2022 | 1 | 2022 |
| Comparison of supervised and self-supervised deep representations trained on histological images D Rymarczyk, A Borowa, A Bracha, M Chronowski, W Ozimek, B Zieliński MEDINFO 2021: One World, One Health–Global Partnership for Digital …, 2022 | 1 | 2022 |
| Corrigendum to “Decoding phenotypic screening: A comparative analysis of image representations”[Computat Struct Biotechnol J 23 (2024) 1181-1188] A Borowa, D Rymarczyk, M Żyła, M Kańduła, A Sánchez-Fernández, ... Computational and Structural Biotechnology Journal 23, 2680, 2024 | | 2024 |
| Decoding phenotypic screening: A comparative analysis of image representations A Borowa, D Rymarczyk, M Żyła, M Kańduła, A Sánchez-Fernández, ... Computational and Structural Biotechnology Journal 23, 1181-1188, 2024 | | 2024 |
| Texture recognition using convolutional neural network with additional information about an image A Borowa | | 2020 |
| Projekt i implementacja systemu organizacji czasu i zarządzania zadaniami A Borowa | | 2020 |
| Artificial Intelligence boosts Mode of Action and M Chronowski, S Adamski, S Garg, A Borowa, D Rymarczyk, M Otrocka, ... | | |
| AI-driven identification of hits from Cell Painting based screening A Bracha, S Adamski, K Rataj, D Rymarczyk, A Borowa, M Otrocka, ... | | |
