| ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping C Bass, M da Silva, C Sudre, PD Tudosiu, S Smith, E Robinson NeurIPS 2020, 2020 | 49* | 2020 |
| Image synthesis with a convolutional capsule generative adversarial network C Bass, T Dai, B Billot, K Arulkumaran, A Creswell, C Clopath, V De Paola, ... | 31 | 2018 |
| 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 | 26 | 2022 |
| Deep reinforcement learning for subpixel neural tracking T Dai, M Dubois, K Arulkumaran, J Campbell, C Bass, B Billot, F Uslu, ... International conference on medical imaging with deep learning, 130-150, 2019 | 23 | 2019 |
| Detection of axonal synapses in 3D two-photon images C Bass, P Helkkula, V De Paola, C Clopath, AA Bharath PloS one 12 (9), e0183309, 2017 | 22 | 2017 |
| 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 | 13 | 2021 |
| In vivo imaging of injured cortical axons reveals a rapid onset form of Wallerian degeneration AJ Canty, JS Jackson, L Huang, A Trabalza, C Bass, G Little, M Tortora, ... BMC biology 18, 1-17, 2020 | 7 | 2020 |
| Deep learning can predict multi-omic biomarkers from routine pathology images: A systematic large-scale study S Arslan, D Mehrotra, J Schmidt, A Geraldes, S Singhal, J Hense, X Li, ... | 6 | 2022 |
| PERI-Net: a parameter efficient residual inception network for medical imagesegmentation F Uslu, C Bass, AA Bharath Turkish Journal of Electrical Engineering and Computer Sciences 28 (4), 2261 …, 2020 | 6 | 2020 |
| Mariana da Silva, Simon Dahan, Chris Adamson, Bonnie Alexander, Deanne Thompson, Gareth Ball, Christian Desrosiers, Hervé Lombaert, Daniel Rueckert, A. David Edwards, and Emma … A Fawaz, LZJ Williams, A Alansary, C Bass, K Gopinath bioRxiv, 2021 | 5 | 2021 |
| Evaluation of a predictive method for the H&E-based molecular profiling of breast cancer with deep learning S Arslan, X Li, J Schmidt, J Hense, A Geraldes, C Bass, K Brown, ... bioRxiv, 2022.01. 04.474882, 2022 | 4 | 2022 |
| 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 |
| Large-scale systematic feasibility study on the pan-cancer predictability of multi-omic biomarkers from whole slide images with deep learning S Arslan, D Mehrotra, J Schmidt, A Geraldes, S Singhal, J Hense, X Li, ... bioRxiv, 2022.01. 21.477189, 2022 | 2 | 2022 |
| 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 | 1 | 2021 |
| Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in … SM Kia, H Mohy-ud-Din, A Abdulkadir, C Bass, M Habes, JM Rondina, ... Springer Nature, 2020 | 1 | 2020 |
| A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images S Arslan, J Schmidt, C Bass, D Mehrotra, A Geraldes, S Singhal, J Hense, ... Communications Medicine 4 (1), 48, 2024 | | 2024 |
| 1226P Multi-site validation of a deep learning solution for HER2 profiling of breast cancer from H&E-stained pathology slides S Arslan, P Pandya, F Ntelemis, S Wolf, J Schmidt, A Geraldes, A Bazaga, ... Annals of Oncology 34, S718, 2023 | | 2023 |
| Proceedings of International workshop on Machine Learning in Clinical Neuroimaging (MLCN2020) SM Kia, A Abdulkadir, C Bass, M Habes, JM Rondina, C Tax, H Wang, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2020 | | 2020 |
| Mlcn 2020 preface SM Kia, A Abdulkadir, C Bass, M Habes, JM Rondina, C Tax, H Wang, ... Lecture Notes in Computer Science 12449, vii-viii, 2020 | | 2020 |
| Machine learning and computational methods for studying cortical neurons in the aged brain C Bass Imperial College London, 2019 | | 2019 |
Mariana da SilvaPhD studentVerified email at kcl.ac.uk
