| Study protocol: Insight 46–a neuroscience sub-study of the MRC National Survey of Health and Development CA Lane, TD Parker, DM Cash, K Macpherson, E Donnachie, ... BMC neurology 17, 1-25, 2017 | 92 | 2017 |
| Neuropsychiatric disease classification using functional connectomics-results of the connectomics in neuroimaging transfer learning challenge MD Schirmer, A Venkataraman, I Rekik, M Kim, SH Mostofsky, MB Nebel, ... Medical image analysis 70, 101972, 2021 | 23 | 2021 |
| White matter analysis of the extremely preterm born adult brain H Irzan, E Molteni, M Hütel, S Ourselin, N Marlow, A Melbourne Neuroimage 237, 118112, 2021 | 12 | 2021 |
| Hemodynamic matrix factorization for functional magnetic resonance imaging M Hütel, M Antonelli, A Melbourne, S Ourselin NeuroImage 231, 117814, 2021 | 7 | 2021 |
| A network-based analysis of the preterm adolescent brain using PCA and graph theory H Irzan, M Hütel, C Semedo, H O’Reilly, M Sahota, S Ourselin, N Marlow, ... Computational Diffusion MRI: MICCAI Workshop, Shenzhen, China, October 2019 …, 2020 | 6 | 2020 |
| Neural activation estimation in brain networks during task and rest using BOLD-fmri M Hütel, A Melbourne, S Ourselin Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 3 | 2018 |
| Towards Patient-Specific Brain Networks Using Functional Magnetic Resonance Imaging M Hutel UCL (University College London), 2021 | 1 | 2021 |
| Analysis of hub-regions from the structural connectomes of preterm-born and control adolescents H Irzan, M Hütel, S Ourselin, N Marlow, A Melbourne Proceedings 28th Annual meeting of the international society for magnetic …, 2020 | 1 | 2020 |
| Computational modelling of pathogenic protein behaviour-governing mechanisms in the brain K Georgiadis, AL Young, M Hütel, A Razi, C Semedo, J Schott, S Ourselin, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 1 | 2018 |
| An overcomplete and efficient ICA for BOLD-fMRI M Hütel, A Melbourne, D Thomas, J Rohrer, S Ourselin ISMRM, 2016 | 1 | 2016 |
| Multi-source multi-modal markers for Bayesian Networks: Application to the extremely preterm born brain H Irzan, M Hütel, H O’Reilly, S Ourselin, N Marlow, A Melbourne Medical Image Analysis 92, 103037, 2024 | | 2024 |
| Apparatus and method for analysing functional MRI data M Hutel, S Ourselin US Patent 11,867,783, 2024 | | 2024 |
| MP34-17 ASSESSMENT OF MENTAL IMAGERY BY NEUROIMAGING FOR SURGICAL DEVELOPMENT: THE MIND TRIAL N Raison*, M Hutel, O Brunckhorst, A Aydin, K Ahmed, S Ourselin, ... The Journal of Urology 203 (Supplement 4), e509-e510, 2020 | | 2020 |
| Connectomics in NeuroImaging: Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings MD Schirmer, A Venkataraman, I Rekik, M Kim, AW Chung Springer Nature, 2019 | | 2019 |
| Matrix Tri-Factorization for {BOLD}-f {MRI} M Hütel, A Melbourne, S Ourselin | | 2018 |
| Cardiac Cycle Estimation for BOLD-fMRI M Hütel, A Melbourne, DL Thomas, S Ourselin Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | | 2018 |
| Multimodal imaging analysis of C9orf72-associated FTD in the Genetic Frontotemporal dementia Initiative (GENFI) study M Bocchetta, N Toussaint, M Hutel, M Modat, MJ Cardoso, E Gordon, ... 10th International Conference on Frontotemporal Dementias, 2016 | | 2016 |
| Functional Connectivity Group Differences in Young-Onset Alzheimer's Disease as Investigated by Volume-And Surface-Based fMRI Analysis Strategies MM van der Thiel, M Hütel, JM Schott, F Barkhof Available at SSRN 4178970, 0 | | |
| Sparse Network Analysis of Individual Resting-State BOLD-fMRI M Hütel, A Melbourne, D Thomas, J Rohrer, S Ourselin | | |
| Retrospective Independent Component Estimation of Respiratory and Cardiac Artefact Residuals (RICERCAR) in BOLD-fMRI. M Hütel, A Melbourne, D Thomas, J Rohrer, S Ourselin | | |
