| The UK Biobank resource with deep phenotyping and genomic data C Bycroft, C Freeman, D Petkova, G Band, LT Elliott, K Sharp, A Motyer, ... Nature 562 (7726), 203-209, 2018 | 4995* | 2018 |
| Genome-wide association studies of brain imaging phenotypes in UK Biobank LT Elliott, K Sharp, F Alfaro-Almagro, S Shi, KL Miller, G Douaud, ... Nature 562 (7726), 210-216, 2018 | 544 | 2018 |
| Brain aging comprises multiple modes of structural and functional change with distinct genetic and biophysical associations SM Smith, LT Elliott, F Alfaro-Almagro, P McCarthy, TE Nichols, G Douaud, ... bioRxiv, 802686, 2019 | 113* | 2019 |
| Cortical surface-based searchlight decoding Y Chen, P Namburi, LT Elliott, J Heinzle, CS Soon, MWL Chee, ... Neuroimage 56 (2), 582-592, 2011 | 91 | 2011 |
| Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities NJ Armstrong, KA Mather, M Sargurupremraj, MJ Knol, R Malik, ... Stroke 51 (7), 2111-2121, 2020 | 64 | 2020 |
| The spatial correspondence and genetic influence of interhemispheric connectivity with white matter microstructure J Mollink, SM Smith, LT Elliott, M Kleinnijenhuis, M Hiemstra, ... Nature Neuroscience 22 (5), 809-819, 2019 | 55 | 2019 |
| Modelling genetic variations with fragmentation-coagulation processes YW Teh, C Blundell, LT Elliott NeurIPS, 2011 | 48* | 2011 |
| Probing principles of large‐scale object representation: Category preference and location encoding RM Cichy, P Sterzer, J Heinzle, LT Elliott, F Ramirez, JD Haynes Human brain mapping 34 (7), 1636-1651, 2013 | 41 | 2013 |
| Directed functional connectivity using dynamic graphical models S Schwab, R Harbord, V Zerbi, L Elliott, S Afyouni, JQ Smith, MW Woolrich, ... NeuroImage 175, 340-353, 2018 | 25 | 2018 |
| Enhanced brain imaging genetics in UK Biobank SM Smith, G Douaud, W Chen, T Hanayik, F Alfaro-Almagro, K Sharp, ... bioRxiv, 2020 | 24 | 2020 |
| Modeling population structure under hierarchical Dirichlet processes LT Elliott, M De Iorio, S Favaro, K Adhikari, YW Teh Bayesian Analysis 14 (2), 313-339, 2019 | 17* | 2019 |
| Scalable imputation of genetic data with a discrete fragmentation-coagulation process LT Elliott, YW Teh NeurIPS, 2012 | 17 | 2012 |
| Random Tessellation Forests S Ge, S Wang, YW Teh, L Wang, L Elliott NeurIPS, 2019 | 16 | 2019 |
| Driving Markov chain Monte Carlo with a dependent random stream I Murray, LT Elliott Arxiv preprint arXiv:1204.3187, 2012 | 13 | 2012 |
| Long time frames to detect the impact of changing COVID-19 control measures JE Stockdale, R Doig, J Min, N Mulberry, L Wang, LT Elliott, C Colijn medRxiv, 2020 | 3 | 2020 |
| Estimating genetic similarity matrices using phylogenies S Wang, S Ge, C Colijn, L Wang, LT Elliott bioRxiv, 2020 | 3 | 2020 |
| A nonparametric HMM for genetic imputation and coalescent inference LT Elliott, YW Teh Electronic Journal of Statistics 10 (2), 3425-3451, 2016 | 3 | 2016 |
| Bayesian nonparametric models of genetic variation LT Elliott University College London, 2016 | 2 | 2016 |
| Kinship solutions for partially observed multiphenotype data LT Elliott Journal of Computational Biology, 2020 | | 2020 |
Fidel Alfaro-AlmagroUniversity of Oxford在 fmrib.ox.ac.uk 的电子邮件经过验证
