| Icam: Interpretable classification via disentangled representations and feature attribution mapping C Bass, M da Silva, C Sudre, PD Tudosiu, S Smith, E Robinson Advances in Neural Information Processing Systems 33, 7697-7709, 2020 | 40 | 2020 |
| Icam-reg: Interpretable classification and regression with feature attribution for mapping neurological phenotypes in individual scans C Bass, M Da Silva, C Sudre, LZJ Williams, HS Sousa, PD Tudosiu, ... IEEE transactions on medical imaging 42 (4), 959-970, 2022 | 27 | 2022 |
| Benchmarking geometric deep learning for cortical segmentation and neurodevelopmental phenotype prediction A Fawaz, LZJ Williams, A Alansary, C Bass, K Gopinath, M da Silva, ... bioRxiv, 2021.12. 01.470730, 2021 | 14 | 2021 |
| Biomechanical modelling of brain atrophy through deep learning M da Silva, K Garcia, CH Sudre, C Bass, MJ Cardoso, E Robinson arXiv preprint arXiv:2012.07596, 2020 | 4 | 2020 |
| The Multiscale Surface Vision Transformer S Dahan, A Fawaz, MA Suliman, M da Silva, LZJ Williams, D Rueckert, ... ArXiv, 2023 | 3 | 2023 |
| Distinguishing healthy ageing from dementia: A biomechanical simulation of brain atrophy using deep networks MD Silva, CH Sudre, K Garcia, C Bass, MJ Cardoso, EC Robinson Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN …, 2021 | 2 | 2021 |
| A generative adversarial network approach to synthetic-CT creation for MRI-based radiation therapy MFT Silva | 1 | 2019 |
| Applications of interpretable deep learning in neuroimaging: a comprehensive review L Munroe, M da Silva, F Heidari, I Grigorescu, S Dahan, EC Robinson, ... Imaging Neuroscience 2, 1-37, 2024 | | 2024 |
| Surface Masked AutoEncoder: Self-Supervision for Cortical Imaging Data S Dahan, M Da Silva, D Rueckert, EC Robinson arXiv preprint arXiv:2308.05474, 2023 | | 2023 |
| Supplementary Materials of ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping C Bass, M da Silva, C Sudre, PD Tudosiu, SM Smith, EC Robinson | | |
