Weikang Gong, DPhil
Affiliations: | 2018- | NDCN | Centre for fMRI of the Brain (FMRIB), Oxford |
Area:
Neuroimage, Deep Learning, Machine LearningWebsite:
https://www.ndcn.ox.ac.uk/team/weikang-gong/viewGoogle:
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Publications
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| Floris DL, Peng H, Warrier V, et al. (2022) The Link Between Autism and Sex-Related Neuroanatomy, and Associated Cognition and Gene Expression. The American Journal of Psychiatry. appiajp20220194 |
| Gong W, Bai S, Zheng YQ, et al. (2022) Supervised Phenotype Discovery from Multimodal Brain Imaging. Ieee Transactions On Medical Imaging |
| Zheng YQ, Farahibozorg SR, Gong W, et al. (2022) Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner. Neuroimage. 119418 |
| Jiao Z, Lai Y, Kang J, et al. (2022) A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies. Neuroimage. 255: 119166 |
| Farahibozorg SR, Bijsterbosch JD, Gong W, et al. (2021) Hierarchical modelling of functional brain networks in population and individuals from big fMRI data. Neuroimage. 118513 |
| Gong W, Beckmann CF, Vedaldi A, et al. (2021) Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge. Frontiers in Psychiatry. 12: 627996 |
| Zhang L, Zhao J, Zhou Q, et al. (2021) Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age. Neuroimage. 118188 |
| Gong W, Beckmann CF, Smith SM. (2021) Phenotype discovery from population brain imaging. Medical Image Analysis. 71: 102050 |
| Peng H, Gong W, Beckmann CF, et al. (2020) Accurate brain age prediction with lightweight deep neural networks. Medical Image Analysis. 68: 101871 |
| Liu Z, Rolls ET, Liu Z, et al. (2019) Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. Bioinformatics (Oxford, England) |