ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping. - Cher Bass; Mariana da Silva; Carole H. Sudre; Petru-Daniel Tudosiu; Stephen M. Smith 001; Emma C. Robinson (NeurIPS, 2020)

Biomechanical modelling of brain atrophy through deep learning. - Mariana da Silva; Kara Garcia; Carole H. Sudre; Cher Bass; M. Jorge Cardoso; Emma C. Robinson (CoRR, 2020)

Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks. - Mariana da Silva; Carole H. Sudre; Kara Garcia; Cher Bass; M. Jorge Cardoso; Emma C. Robinson (MLCN@MICCAI, 2021)

ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans. - Cher Bass; Mariana da Silva; Carole H. Sudre; Logan Z. J. Williams; Petru-Daniel Tudosiu; Fidel Alfaro-Almagro; Sean P. Fitzgibbon; Matthew F. Glasser; Stephen M. Smith 001; Emma C. Robinson (CoRR, 2021)

The Multiscale Surface Vision Transformer. - Simon Dahan; Abdulah Fawaz; Mohamed A. Suliman; Mariana da Silva; Logan Z. J. Williams; Daniel Rueckert; Emma C. Robinson (CoRR, 2023)

Surface Masked AutoEncoder: Self-Supervision for Cortical Imaging Data. - Simon Dahan; Mariana da Silva; Daniel Rueckert; Emma C. Robinson (CoRR, 2023)

ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans. - Cher Bass; Mariana da Silva; Carole H. Sudre; Logan Z. J. Williams; Helena S. Sousa; Petru-Daniel Tudosiu; Fidel Alfaro-Almagro; Sean P. Fitzgibbon; Matthew F. Glasser; Stephen M. Smith 001; Emma C. Robinson (IEEE Trans. Medical Imaging, 2023)

Applications of interpretable deep learning in neuroimaging: a comprehensive review. - Lindsay Munroe; Mariana da Silva; Faezeh Heidari; Irina Grigorescu; Simon Dahan; Emma C. Robinson; Maria Deprez; Po-Wah So (CoRR, 2024)

Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms. - David Stojanovski; Mariana da Silva; Pablo Lamata; Arian Beqiri; Alberto Gómez 002 (CoRR, 2024)