John Ashburner
Affiliations: | University College London, London, United Kingdom |
Google:
"John Ashburner"Mean distance: 16.54 (cluster 29)
Children
Sign in to add trainee| Liam F Chalcroft | grad student | 2020- | UCL |
| Chia-Yueh Carlton Chu | grad student | 2009 | UCL |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Emmenegger TM, Pfyffer D, Curt A, et al. (2024) Longitudinal motor system changes from acute to chronic spinal cord injury. European Journal of Neurology. e16196 |
| Tsui A, Tudosiu PD, Brudfors M, et al. (2023) Predicting mortality in acutely hospitalised older patients: the impact of model dimensionality. Bmc Medicine. 21: 10 |
| Pombo G, Gray R, Cardoso MJ, et al. (2022) Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Analysis. 84: 102723 |
| Kyathanahally SP, Azzarito M, Rosner J, et al. (2021) Microstructural plasticity in nociceptive pathways after spinal cord injury. Journal of Neurology, Neurosurgery, and Psychiatry |
| Fleming V, Brownsett S, Krason A, et al. (2020) Efficacy of spoken word comprehension therapy in patients with chronic aphasia: a cross-over randomised controlled trial with structural imaging. Journal of Neurology, Neurosurgery, and Psychiatry |
| Lange FJ, Ashburner J, Smith SM, et al. (2020) A Symmetric Prior for the Regularisation of Elastic Deformations: Improved anatomical plausibility in nonlinear image registration. Neuroimage. 219: 116962 |
| Ing A, Sämann PG, Chu C, et al. (2019) Identification of neurobehavioural symptom groups based on shared brain mechanisms. Nature Human Behaviour |
| Callaghan MF, Lutti A, Ashburner J, et al. (2019) Example dataset for the hMRI toolbox. Data in Brief. 25: 104132 |
| Ashburner J, Brudfors M, Bronik K, et al. (2019) An algorithm for learning shape and appearance models without annotations. Medical Image Analysis. 55: 197-215 |
| Tabelow K, Balteau E, Ashburner J, et al. (2019) hMRI - A toolbox for quantitative MRI in neuroscience and clinical research. Neuroimage |