Pronouns: she/her
Karla Miller
Director of the Oxford Centre for Integrative Neuroimaging (OxCIN)
- Professor of Biomedical Engineering
- Wellcome Trust Senior Research Fellow
- Associate Head for Equality, Diversity & Inclusion, Oxford Medical Sciences Division
I am the Director of the Oxford Centre for Integrative Neuroimaging (OxCIN). OxCIN is the successor to WIN, a multi-disciplinary neuroimaging research facility. We develop and deploy neuroimaging and related technologies to solve big challenges in basic neuroscience and brain health. I also lead the MRI Physics Group at OxCIN, which is a collection of PIs with shared interest in methods for acquiring, reconstructing, and analysing magnetic resonance imaging/spectroscopy data.
My research group is helping to advance the state of the art in MRI through improvements in signal sensitivity and specificity. We are developing methods to measure aspects of tissue microstructure that are central to neuronal health and disease. We are improving our understanding of MRI data in living subjects through scans of post-mortem brains in combination with light microscopy in the same tissue. We are developing the next generation of diffusion and functional MRI acquisition techniques for studying brain connectivity, by taking advantage of ultra-high field scanners and sophisticated signal processing. Finally, we are developing biophysically principled methods for data "harmonisation" to enable the translation of large-scale studies like UK Biobank into smaller-scale neuroimaging studies and clinical settings.
These methods will enable neuroscientists to study the brain with greater precision. My group is actively involved in collaborations with neuroscience colleagues in Oxford and elsewhere to study neuronal health and disease.
Finally, I am passionate about diversity & inclusion in academia, and the need to improve research culture. I lead EDI for Oxford's Medical Sciences Division.
DPhil Projects
I have regular DPhil opportunities for candidates with a background in physics, engineering or neuroscience. Projects will usually be designed collaboratively with the candidate. Please get in touch if you would like to discuss possible projects, including an up-to-date CV.
Key publications
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Why every lab needs a handbook
Journal article
Tendler BC. et al, (2023), eLife, 12
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Accelerated multi-shell diffusion MRI with Gaussian process estimated reconstruction of multi-band imaging
Journal article
Ye X. et al, (2025), Magnetic Resonance in Medicine
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Self-navigated 3D diffusion MRI using an optimized CAIPI sampling and structured low-rank reconstruction estimated navigator
Journal article
Li Z. et al, (2024), IEEE Transactions on Medical Imaging, 1 - 1
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Tensor image registration library: Deformable registration of stand‐alone histology images to whole‐brain post‐mortem MRI data
Journal article
Huszar IN. et al, (2023), NeuroImage, 265, 119792 - 119792
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An open resource combining multi-contrast MRI and microscopy in the macaque brain
Journal article
Howard AFD. et al, (2023), Nature Communications, 14
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Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging
Journal article
Wang C. et al, (2022), Nature Neuroscience, 25, 818 - 831
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The Digital Brain Bank, an open access platform for post-mortem imaging datasets
Journal article
Tendler BC. et al, (2022), eLife, 11
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Joint modelling of diffusion MRI and microscopy
Journal article
Howard A. et al, (2019), NeuroImage
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Diffusion Acceleration with Gaussian process Estimated Reconstruction (DAGER)
Journal article
Wu W. et al, (2019), Magnetic Resonance in Medicine, 82, 107 - 125
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The spatial correspondence and genetic influence of interhemispheric connectivity with white matter microstructure
Journal article
Mollink J. et al, (2019), Nature Neuroscience, 22, 809 - 819
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Recovering task fMRI signals from highly under-sampled data with low-rank and temporal subspace constraints
Journal article
Chiew M. et al, (2018), NeuroImage, 174, 97 - 110
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Multimodal population brain imaging in the UK Biobank prospective epidemiological study
Journal article
Miller KL. et al, (2016), Nature Neuroscience, 19, 1523 - 1536