A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging. - José Bernal; Maria del C. Valdés Hernández; Lucia Ballerini; Javier Escudero; Angela C. C. Jochems; Una Clancy; Fergus N. Doubal; Michael S. Stringer; Michael J. Thrippleton; Rhian M. Touyz; Joanna M. Wardlaw (MIUA, 2020)

Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging. - José Bernal; William Xu; Maria del C. Valdés Hernández; Javier Escudero; Angela C. C. Jochems; Una Clancy; Fergus N. Doubal; Michael S. Stringer; Michael J. Thrippleton; Rhian M. Touyz; Joanna M. Wardlaw (MIUA, 2021)

Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. - Ben Philps; Maria del C. Valdés Hernández; Chen Qin; Una Clancy; Eleni Sakka; Susana Muñoz Maniega; Mark E. Bastin; Angela C. C. Jochems; Joanna M. Wardlaw; Miguel O. Bernabeu; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2024)

Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. - Ben Philps; Maria del C. Valdés Hernández; Chen Qin; Una Clancy; Eleni Sakka; Susana Muñoz Maniega; Mark E. Bastin; Angela C. C. Jochems; Joanna M. Wardlaw; Miguel O. Bernabeu (Medical Image Anal., 2025)