Ž. Klaneček

Performance and Robustness of Machine Learning-based Radiomic COVID-19 Severity Prediction

R. Jeraj, S. Yip, John Kim, 2020, medRxiv.

A study on the impact of parameter settings on the biological reproducibility and sensitivity of extracted radiomic features from full field digital mammography images

R. Jeraj, Yu Wang, H. Bosmans, 2022, Medical Imaging.

Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients: a pilot study

Daniel T. Huff, R. Jeraj, Daniel T Huff, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Measurements of hair temperature avalanche effect with alexandrite and Nd:YAG hair removal lasers

M. Jezeršek, D. Vella, M. Lukač, 2022, Lasers in surgery and medicine.

Finite Element Method (FEM) Modeling of Laser-Tissue Interaction during Hair Removal

R. Hren, M. Lukač, Ž. Klaneček, 2023, Applied Sciences.

Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout

R. Jeraj, H. Bosmans, L. Cockmartin, 2023, Physics in medicine and biology.

Applying radiomics-based risk prediction models from digital mammography to digital breast tomosynthesis: a preliminary reliability survey

R. Jeraj, H. Bosmans, L. Cockmartin, 2022, The International Workshop on Breast Imaging.