Do not repeat these mistakes - a critical appraisal of applications of explainable artificial intelligence for image based COVID-19 detection. - Weronika Hryniewska; Przemyslaw Bombinski; Patryk Szatkowski; Paulina Tomaszewska; Artur Przelaskowski; Przemyslaw Biecek (CoRR, 2020)

Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies. - Weronika Hryniewska; Przemyslaw Bombinski; Patryk Szatkowski; Paulina Tomaszewska; Artur Przelaskowski; Przemyslaw Biecek (Pattern Recognit., 2021)

Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics. - Hubert Baniecki; Bartlomiej Sobieski; Przemyslaw Bombinski; Patryk Szatkowski; Przemyslaw Biecek (AIME, 2023)

Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography. - Przemyslaw Bombinski; Patryk Szatkowski; Bartlomiej Sobieski; Tymoteusz Kwiecinski; Szymon Plotka; Mariusz Adamek; Marcin Banasiuk; Mariusz I. Furmanek; Przemyslaw Biecek (CoRR, 2024)

Interpretable machine learning for time-to-event prediction in medicine and healthcare. - Hubert Baniecki; Bartlomiej Sobieski; Patryk Szatkowski; Przemyslaw Bombinski; Przemyslaw Biecek (Artif. Intell. Medicine, 2025)