| Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis K Liu, Y Shen, N Wu, J Chłędowski, C Fernandez-Granda, KJ Geras Medical Imaging with Deep Learning (MIDL), 2021 | 32 | 2021 |
| Robust Learning-Augmented Caching: An Experimental Study J Chłędowski, A Polak, B Szabucki, K Żołna International Conference on Machine Learning (ICML), 2021 | 19 | 2021 |
| Meta-repository of screening mammography classifiers B Stadnick, J Witowski, V Rajiv, J Chłędowski, FE Shamout, K Cho, ... arXiv preprint arXiv:2108.04800, 2021 | 13 | 2021 |
| A competition, benchmark, code, and data for using artificial intelligence to detect lesions in digital breast tomosynthesis N Konz, M Buda, H Gu, A Saha, J Yang, J Chłędowski, J Park, J Witowski, ... JAMA network open 6 (2), e230524-e230524, 2023 | 11 | 2023 |
| Lessons from the first DBTex Challenge J Park, Y Shoshan, R Martí, P Gómez del Campo, V Ratner, D Khapun, ... Nature Machine Intelligence 3 (8), 735-736, 2021 | 11 | 2021 |
| From Dataset Recycling to Multi-Property Extraction and Beyond T Dwojak, M Pietruszka, Ł Borchmann, J Chłędowski, F Graliński The SIGNLL Conference on Computational Natural Language Learning (CONLL), 2020 | 8 | 2020 |
| 3d-gmic: an efficient deep neural network to find small objects in large 3d images J Park, J Chłędowski, S Jastrzębski, J Witowski, Y Xu, L Du, S Gaddam, ... arXiv preprint arXiv: 2210.08645, 2022 | 3 | 2022 |
| An efficient deep neural network to classify large 3D images with small objects J Park, J Chłędowski, S Jastrzębski, J Witowski, Y Xu, L Du, S Gaddam, ... IEEE Transactions on Medical Imaging, 2023 | 2 | 2023 |
| Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images J Chłędowski, J Park, KJ Geras 2023 International Conference on Digital Image Computing: Techniques and …, 2023 | | 2023 |
| An efficient deep neural network to find small objects in large 3D images J Park, J Chłędowski, S Jastrzębski, J Witowski, Y Xu, L Du, S Gaddam, ... arXiv preprint arXiv:2210.08645, 2022 | | 2022 |
| Representation learning for textual entailment prediction J Chłędowski | | 2020 |
| Przestrzeń fraktali i metryki z nią związane J Chłędowski | | 2020 |
| Improving utilization of lexical knowledge in natural language inference J Chłędowski, T Wesołowski, S Jastrzębski Schedae Informaticae 27, 2018 | | 2018 |
Krzysztof J. GerasNew York UniversityVerified email at nyu.edu
