Contact information
Sukhdeep Bal
PhD
Postdoctoral Research Fellow
Research Summary
I am currently a NIHR-funded post-doctoral fellow at Wellcome Centre for Integrative Neuroimaging (WIN) and Center for prevention of Stroke and Dimentia (CPSD) , University of Oxford.
There are two major themes to my research:
(i) Utilizing novel Deep Leaning (AI) methods as well as mathematical variational methods in Medical Imaging (Brain MRI/CT) to develop imaging tools for clinicians to apply to individual patient diagnoses.
(ii) Developing structural Image segmentation, registration and denoising methods using variational and AI methods.
Here at CPSD, we are developing an automated CT-brain analysis tool, which can aid NHS clinicians in diagnosis, prognosis, and old patient care. The resulting semi-automated CT-brain analysis tool will facilitate large-scale studies of how brain ageing relates to cognitive decline.
I completed my Dual PhD in Applied Mathematics (https://livrepository.liverpool.ac.uk/3171310/) with University of Liverpool ( UK ) and National Tsing Hua University (Taiwan) before moving to University of Oxford as a postdoctoral researcher.
Websites
Teaching and Training
I have been involved in teaching several undergraduate and graduate courses (Engineering Mathematics, Mathematical Methods, Calculus, Statistics and Probability, Math’s research skills) at the Department of Mathematics, University of Liverpool, UK.
Recently, I have been awarded Associate Fellow of the Higher Education Academy, UK (AFHEA).
Recent publications
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Core and penumbra estimation using deep learning-based AIF in association with clinical measures in computed tomography perfusion
Journal article
Bal S., (2023), Insights into Imaging
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Arterial input function segmentation based on a contour geodesic model for tissue at risk identification in ischemic stroke
Journal article
Bal SS. et al, (2022), Medical Physics, 49, 2475 - 2485
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Optimal Scaling Approaches for Perfusion MRI with Distorted Arterial Input Function (AIF) in Patients with Ischemic Stroke
Journal article
Bal SS. et al, (2022), Brain Sciences, 12
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White Matter Differences in Networks in Elders with Mild Cognitive Impairment and Alzheimer's Disease
Journal article
Yang FPG. et al, (2021), Brain Connectivity, 11, 180 - 188
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Mathematical Framework of Deconvolution Algorithms for Quantification of Perfusion Parameters.
Journal article
Yang F. et al, (2020), Acta Neurol Taiwan, 29(3), 79 - 85