Synthetic Data as a Tool to Combat Racial Bias in Medical AI: Utilizing Generative Models for Optimizing Early Detection of Melanoma in Fitzpatrick Skin Types IV-VI. - Daniel Kvak; Eva Brezinová; Marek Biros; Robert Hrubý (MICAD, 2022)

Detecting Pulmonary Lesions in Low-Prevalence Real-World Settings Using Deep Learning. - Daniel Kvak; Anna Chromcová; Petra Ovesná; Jakub Dandár; Marek Biros; Robert Hrubý; Daniel Dufek; Marija Pajdakovic (MICAD, 2023)

Can Deep Learning Reliably Recognize Abnormality Patterns on Chest X-rays? A Multi-Reader Study Examining One Month of AI Implementation in Everyday Radiology Clinical Practice. - Daniel Kvak; Anna Chromcová; Petra Ovesná; Jakub Dandár; Marek Biros; Robert Hrubý; Daniel Dufek; Marija Pajdakovic (CoRR, 2023)

Evaluating the Performance of Deep Learning Model and Junior Radiologists in Reading Major Pathologies on Chest X-Rays: A Population-Based, Multi-reader Study. - Jakub Dandár; Jirí Gerold; Jan Krístek; Zdenek Straka; Daniel Kvak; Marek Biros; Robert Hrubý (MICAD, 2024)