Explainable Machine Learning for Modeling of Early Postoperative Mortality in Lung Cancer. - Katarzyna Kobylinska; Tomasz Mikolajczyk; Mariusz Adamek; Tadeusz Orlowski; Przemyslaw Biecek (KR4HC/ProHealth/TEAAM@AIME, 2019)

Exploration of Rashomon Set Assists Explanations for Medical Data. - Katarzyna Kobylinska; Mateusz Krzyzinski; Rafal Machowicz; Mariusz Adamek; Przemyslaw Biecek (CoRR, 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)

Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data. - Katarzyna Kobylinska; Mateusz Krzyzinski; Rafal Machowicz; Mariusz Adamek; Przemyslaw Biecek (IEEE J. Biomed. Health Informatics, 2024)