From Dataset Recycling to Multi-Property Extraction and Beyond. - Tomasz Dwojak; Michal Pietruszka; Lukasz Borchmann; Jakub Chledowski; Filip Gralinski (CoNLL, 2020)

On the Multi-Property Extraction and Beyond. - Tomasz Dwojak; Michal Pietruszka; Lukasz Borchmann; Filip Gralinski; Jakub Chledowski (CoRR, 2020)

Robust Learning-Augmented Caching: An Experimental Study. - Jakub Chledowski; Adam Polak 001; Bartosz Szabucki; Konrad Tomasz Zolna (ICML, 2021)

Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. - Kangning Liu; Yiqiu Shen; Nan Wu; Jakub Piotr Chledowski; Carlos Fernandez-Granda; Krzysztof J. Geras (MIDL, 2021)

Meta-repository of screening mammography classifiers. - Benjamin Stadnick; Jan Witowski; Vishwaesh Rajiv; Jakub Chledowski; Farah E. Shamout; Kyunghyun Cho; Krzysztof J. Geras (CoRR, 2021)

Lessons from the first DBTex Challenge. - Jungkyu Park 001; Yoel Shoshan; Robert Martí; Pablo Gómez del Campo; Vadim Ratner; Daniel Khapun; Aviad Zlotnick; Ella Barkan; Flora Gilboa-Solomon; Jakub Chledowski; Jan Witowski; Alexandra Millet; et al. (Nat. Mach. Intell., 2021)

3D-GMIC: an efficient deep neural network to find small objects in large 3D images. - Jungkyu Park 001; Jakub Chledowski; Stanislaw Jastrzebski; Jan Witowski; Yanqi Xu; Linda Du; Sushma Gaddam; Eric Kim; Alana Lewin; Ujas Parikh; Anastasia Plaunova; Sardius Chen; et al. (CoRR, 2022)

Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images. - Jakub Chledowski; Jungkyu Park 001; Krzysztof J. Geras (DICTA, 2023)

An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects. - Jungkyu Park 001; Jakub Chledowski; Stanislaw Jastrzebski; Jan Witowski; Yanqi Xu; Linda Du; Sushma Gaddam; Eric Kim; Alana Lewin; Ujas Parikh; Anastasia Plaunova; Sardius Chen; et al. (IEEE Trans. Medical Imaging, 2024)