| Pub ID | Title | Author(s) | Year | Journal |
|---|
| 7097 | Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner | Ying-Qiu Zheng (+5) | 2022 | NeuroImage |
| 7530 | An empirical, 21st century evaluation of phrenology | O. Parker Jones (+2) | 2018 | Cortex |
| 13641 | Association between cannabis use and brain structure and function: an observational and Mendelian randomisation study | Saba Ishrat (+4) | 2024 | BMJ Mental Health |
| 12599 | Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning | Vaanathi Sundaresan (+14) | 2022 | Frontiers in Neuroinformatics |
| 7728 | Automated detection of cerebral microbleeds on MR images using knowledge distillation framework | Vaanathi Sundaresan (+14) | 2023 | Frontiers in Neuroinformatics |
| 7351 | Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction | Matteo Bastiani (+7) | 2018 | NeuroImage |
| 9012 | Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior | Anna Menacher (+3) | 2024 | Journal of the American Statistical Association |
| 7414 | Causal inference on neuroimaging data with Mendelian randomisation | Bernd Taschler (+2) | 2022 | NeuroImage |
| 9190 | Cerebrovascular risk factors impact frontoparietal network integrity and executive function in healthy ageing | Michele Veldsman (+6) | 2020 | Nature Communications |
| 7485 | Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal | Nicola K. Dinsdale (+2) | 2020 | NeuroImage |
| 10978 | Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat) | Ziyu Li (+8) | 2023 | Medical Image Analysis |
| 7354 | Estimation of brain age delta from brain imaging | Stephen M. Smith (+4) | 2019 | NeuroImage |
| 8570 | Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects | Michael P. Harms (+40) | 2018 | NeuroImage |
| 8573 | Genome-wide association studies of brain imaging phenotypes in UK Biobank | Lloyd T. Elliott (+7) | 2018 | Nature |
| 7450 | Hierarchical modelling of functional brain networks in population and individuals from big fMRI data | Seyedeh-Rezvan Farahibozorg (+6) | 2021 | NeuroImage |
| 7882 | ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans | Cher Bass (+11) | 2023 | IEEE Transactions on Medical Imaging |
| 7093 | Identifying microstructural changes in diffusion MRI; How to circumvent parameter degeneracy | Hossein Rafipoor (+4) | 2022 | NeuroImage |
| 11720 | Individualised prediction of longitudinal change in multimodal brain imaging | Weikang Gong (+2) | 2024 | Imaging Neuroscience |
| 13393 | Internally-consistent and fully-unbiased multimodal MRI brain template construction from UK Biobank: Oxford-MM | Christoph Arthofer (+6) | 2024 | Imaging Neuroscience |
| 7536 | Investigations into within- and between-subject resting-state amplitude variations | Janine Bijsterbosch (+5) | 2017 | NeuroImage |
| 9234 | Learning patterns of the ageing brain in MRI using deep convolutional networks | Nicola K Dinsdale (+6) | 2020 | NeuroImage |
| 8576 | Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference | Vaanathi Sundaresan (+7) | 2018 | NeuroImage |
| 7428 | Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations | Usama Pervaiz (+4) | 2022 | Medical Image Analysis |
| 7467 | Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge | Weikang Gong (+4) | 2021 | Frontiers in Psychiatry |
| 10280 | Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging | Chaoyue Wang (+11) | 2022 | Nature Neuroscience |
| 12491 | SARS-CoV-2 is associated with changes in brain structure in UK Biobank | Gwenaëlle Douaud (+19) | 2022 | Nature |
| 12739 | Stacking models of brain dynamics to improve prediction of subject traits in fMRI | Ben Griffin (+6) | 2024 | Imaging Neuroscience |
