Vaanathi Sundaresan

Post-doctoral Researcher

Biography

About me

I am a Postdoctoral researcher at Nuffield Department of Clinical Neurosciences, University of Oxford. I am currently working with Prof. Mark Jenkinson and Dr. Ludovica Griffanti at Oxford centre for Functional MRI of the brain (FMRIB), Wellcome Centre for Integrative Neuroimaging (WIN). My DPhil work was on AI-driven automated detection of small vessel disease signs on brain MR images. My postdoctoral research focusses on domain adaptation and harmonisation of neuroimaging data using deep learning methods.

I am a member of the Translational Neuroimaging Group (TNG) and my research interests include translation of automated AI-based methods for clinical applications.

Research

My research interests include domain adaptation of segmentation models for segmentation of dementia signs and harmonisation of structural data as preprocessing step for further robust analyses. My DPhil work was on modelling the distribution of white matter lesions within a population and the detection of white matter pathologies of the brain in MR images.

Key publications

Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference.
Journal article

Sundaresan V. et al, (2019), NeuroImage, 185, 434 - 445
Automated lesion segmentation with BIANCA: impact of population-level features, classification algorithm and locally adaptive thresholding
Journal article

Sundaresan V. et al, (2018)
BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.
Journal article

Griffanti L. et al, (2016), Neuroimage, 141, 191 - 205
Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks
Conference paper

Sundaresan V. et al, (2017), Proceedings - International Symposium on Biomedical Imaging, 671 - 674

More publications

Research groups

Structural Modelling and Analysis