Preprocessing for Quantitative Statistical Noise Analysis of MDCT Brain Images Reconstructed Using Hybrid Iterative (iDose) Algorithm. - Petr Walek; Jirí Jan; Petr Ourednicek; Jarmila Skotakova; Igor Jira (J. WSCG, 2012)

3D CT spine data segmentation and analysis of vertebrae bone lesions. - Roman Peter; Milos Malinsky; Petr Ourednicek; Jirí Jan (EMBC, 2013)

Methodology for Estimation of Tissue Noise Power Spectra in Iteratively Reconstructed MDCT Data. - Petr Walek; Jirí Jan; Petr Ourednicek; Jarmila Skotakova; Igor Jira (WSCG, 2013)

Novel registration-based framework for CT angiography in lower legs. - Roman Peter; Milos Malinsky; Petr Ourednicek; Lukás Lambert; Jirí Jan (Medical Biol. Eng. Comput., 2013)

Combined bone lesion analysis in 3D CT data of vertebrae. - Jirí Jan; Michaela Novosadová; Jan Demel; Petr Ourednicek; Jirí Chmelík; Roman Jakubícek (EMBC, 2015)

Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data. - Jirí Chmelík; Roman Jakubícek; Petr Walek; Jirí Jan; Petr Ourednicek; Lukás Lambert; Elena Amadori; Giampaolo Gavelli (Medical Image Anal., 2018)

Iterative machine learning based rotational alignment of brain 3D CT data. - Jirí Chmelík; Roman Jakubícek; Tomás Vicar; Petr Walek; Petr Ourednicek; Jirí Jan (EMBC, 2019)

Deep-learning-based fully automatic spine centerline detection in CT data. - Roman Jakubícek; Jirí Chmelík; Petr Ourednicek; Jirí Jan (EMBC, 2019)

Learning-based vertebra localization and labeling in 3D CT data of possibly incomplete and pathological spines. - Roman Jakubícek; Jirí Chmelík; Jirí Jan; Petr Ourednicek; Lukás Lambert; Giampaolo Gavelli (Comput. Methods Programs Biomed., 2020)

Deep-learning Based Prediction of Virtual Non-contrast CT Images. - Roman Jakubícek; Tomás Vicar; Jirí Chmelík; Petr Ourednicek; Jirí Jan (ISEEIE, 2021)