Classifying bacteria clones using attention-based deep multiple instance learning interpreted by persistence homology. - Adriana Borowa; Dawid Rymarczyk; Dorota Ochonska; Monika Brzychczy-Wloch; Bartosz Zielinski 001 (CoRR, 2020)

Deep learning classification of bacteria clones explained by persistence homology. - Adriana Borowa; Dawid Rymarczyk; Dorota Ochonska; Monika Brzychczy-Wloch; Bartosz Zielinski 001 (IJCNN, 2021)

Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images. - Dawid Rymarczyk; Adriana Borowa; Anna Bracha; Maurycy Chronowski; Wojciech Ozimek; Bartosz Zielinski 001 (MedInfo, 2021)

Kernel Self-Attention for Weakly-supervised Image Classification using Deep Multiple Instance Learning. - Dawid Rymarczyk; Adriana Borowa; Jacek Tabor; Bartosz Zielinski 001 (WACV, 2021)

Weakly-Supervised Cell Classification for Effective High Content Screening. - Adriana Borowa; Szczepan Kruczek; Jacek Tabor; Bartosz Zielinski 001 (ICCS (1), 2022)

Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning. - Adriana Borowa; Dawid Rymarczyk; Dorota Ochonska; Agnieszka Sroka-Oleksiak; Monika Brzychczy-Wloch; Bartosz Zielinski 001 (IEEE J. Biomed. Health Informatics, 2023)

AI-Driven Rapid Identification of Bacterial and Fungal Pathogens in Blood Smears of Septic Patients. - Agnieszka Sroka-Oleksiak; Adam Pardyl; Dawid Rymarczyk; Aldona Olechowska-Jarzab; Katarzyna Biegun-Drozdz; Dorota Ochonska; Michal Wronka; Adriana Borowa; Tomasz Gosiewski; Milosz Adamczyk; Henryk Telega; Bartosz Zielinski 001; et al. (CoRR, 2025)