Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment. - Igor Stepien; Rafal Obuchowicz; Adam Piórkowski; Mariusz Oszust (Sensors, 2021)

Blind image quality assessment of magnetic resonance images with statistics of local intensity extrema. - Mariusz Oszust; Marzena Bielecka; Andrzej Bielecki; Igor Stepien; Rafal Obuchowicz; Adam Piórkowski (Inf. Sci., 2022)

A Brief Survey on No-Reference Image Quality Assessment Methods for Magnetic Resonance Images. - Igor Stepien; Mariusz Oszust (J. Imaging, 2022)

No-Reference Quality Assessment of Pan-Sharpening Images with Multi-Level Deep Image Representations. - Igor Stepien; Mariusz Oszust (Remote. Sens., 2022)

No-Reference Image Quality Assessment of Magnetic Resonance images with multi-level and multi-model representations based on fusion of deep architectures. - Igor Stepien; Mariusz Oszust (Eng. Appl. Artif. Intell., 2023)

TIQA-PSI: Toolbox for perceptual Image Quality Assessment of Pan-Sharpened Images. - Igor Stepien; Mariusz Oszust (SoftwareX, 2023)

Three-branch neural network for No-Reference Quality assessment of Pan-Sharpened Images. - Igor Stepien; Mariusz Oszust (Eng. Appl. Artif. Intell., 2025)

TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images. - Igor Stepien (SoftwareX, 2025)