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Weikang Gong

DPhil Student

Research Summary

I am a DPhil student in the FMRIB Analysis Group, which is part of the Wellcome Centre for Integrative Neuroimaging and Nuffield Department of Clinical Neurosciences. I am currently under the supervision of Professor Stephen Smith and Professor Christian Beckmann.

My research interest is in the area of statistical modelling of brain image and genetics data, especially the multimodal data fusion using big datasets such as Human Connectome Project and UK-Biobank.

Our work on a new multimodal fusion algorithm for large-scale neuroimaging dataset is out in Medical Image Analsysis: Phenotype Discovery from Population Brain Imaging.

Our work on a new deep learning model for brain age prediction using UKB data is out in Medical Image Analysis: Accurate brain age prediction with lightweight deep neural networks

Before joining the DPhil programme at Oxford, I obtained a MSc degree in Computational Biology from SIBS in Chinese Academy of Sciences, collaborated with ISTBI at Fudan University. I did my undergraduate in Mathematics at Shandong University. My previous work developed approaches to perform the whole-brain, voxel-level functional connectivity association analysis using resting-state fMRI (click here and here for more details), and a software package to preprocess the resting-state fMRI data. 

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