Mark Jenkinson

University of Oxford, Oxford, United Kingdom 
"Mark Jenkinson"
Mean distance: 106866


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Michael Brady grad student 1995-1999 Oxford (E-Tree)


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Mojtaba Zarei collaborator 2002- Oxford
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Edwards AD, Rueckert D, Smith SM, et al. (2022) The Developing Human Connectome Project Neonatal Data Release. Frontiers in Neuroscience. 16: 886772
Sundaresan V, Zamboni G, Rothwell PM, et al. (2021) Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images. Medical Image Analysis. 73: 102184
Dinsdale NK, Bluemke E, Smith SM, et al. (2020) Learning Patterns of the Ageing Brain in MRI using Deep Convolutional Networks. Neuroimage. 117401
Fitzgibbon SP, Harrison SJ, Jenkinson M, et al. (2020) The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. Neuroimage. 117303
Torso M, Ahmed S, Butler C, et al. (2020) Cortical diffusivity investigation in posterior cortical atrophy and typical Alzheimer's disease. Journal of Neurology
Torso M, Bozzali M, Cercignani M, et al. (2020) Using diffusion tensor imaging to detect cortical changes in fronto-temporal dementia subtypes. Scientific Reports. 10: 11237
Armstrong NJ, Mather KA, Sargurupremraj M, et al. (2020) Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities. Stroke. STROKEAHA119027544
Eichert N, Robinson EC, Bryant KL, et al. (2020) Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe. Elife. 9
Wyburd MK, Jenkinson M, Namburete AIL. (2020) Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound Communications in Computer and Information Science. 56-68
Dinsdale NK, Jenkinson M, Namburete AIL. (2020) Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation Communications in Computer and Information Science. 15-25
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