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Hao, Jie (2010). A study on the application of independent component analysis to \(in vivo\) \(^1\)H magnetic resonance spectra of childhood brain tumours for data processing. University of Birmingham. Ph.D.
Patel, Markand Dipankumar ORCID: https://orcid.org/0000-0002-1786-5110 (2022). Advanced imaging and artificial intelligence for diagnostic and prognostic biomarkers in glioblastoma. University of Birmingham. Ph.D.
Orphanidou, Eleni (2012). Advanced magnetic resonance imaging and metabolic studies of low grade gliomas in childhood. University of Birmingham. Ph.D.
Carlin, Dominic Alexander (2017). An investigation into the importance of T2 relaxation and echo time choice for accurate metabolite biomarker quantification. University of Birmingham. Ph.D.
Mirbahai, Ladan (2010). Biomarkers of cell stress and cell death detected by proton high resolution magic angle spinning (\(^1\)H HR-MAS) nuclear magnetic resonance (NMR) spectroscopy in a rat glioma cell line. University of Birmingham. Ph.D.
Powell, Stephen Jake (2022). Development of novel methods for obtaining robust dynamic susceptibility contrast magnetic resonance imaging biomarkers from diseased brain in children. University of Birmingham. Ph.D.
Sawbridge, Rebecca Joanne (2018). Developments in magnetic resonance spectroscopic imaging acquisition and analysis. University of Birmingham. Ph.D.
Murren, Robert John (2018). Intracytoplasmic lipid droplets in high grade glioma: metabolism and target for therapy. University of Birmingham. Ph.D.
Munford, Haydn (2019). Investigating medulloblastoma metabolism for better diagnosis and treatment. University of Birmingham. Ph.D.
Upton, Alex (2014). Investigating tumour evolution through graph theoretical analysis of gene regulatory networks. University of Birmingham. Ph.D.
Worthington, Lara Angharad (2016). Investigation of compressed-sensing for acceleration of magnetic resonance spectroscopic imaging. University of Birmingham. Ph.D.
Meeus, Emma Maria (2018). Investigation of tissue microenvironments using diffusion magnetic resonance imaging. University of Birmingham. Ph.D.
Pan, Xiaoyan (2013). Lipids and metabolites detected by magnetic resonance spectroscopy as biomarkers in nervous system tumour cell lines. University of Birmingham. Ph.D.
Bennett, Christopher Daniel (2019). Metabolite profiles in the investigation of childhood brain tumours. University of Birmingham. Ph.D.
Davison, James Edward (2012). Multimodal magnetic resonance investigation of childhood metabolic neurodegenerative disease. University of Birmingham. Ph.D.
Garcia, Adrian Dante (2017). Neural correlates of visual perceptual learning and inhibitory neurotransmitter in humans using magnetic resonance spectroscopy. University of Birmingham. Ph.D.
Easton, John M. (2009). Optimised analysis and visualisation of metabolic data using graph theoretical approaches. University of Birmingham. Ph.D.
Harris, Lisa Maria (2009). Short echo time single voxel magnetic resonance spectoscopy in the characterisation of childhood brain tumours. University of Birmingham. Ph.D.
Gill, Simrandip Kaur (2014). Single voxel proton magnetic resonance spectroscopy of childhood brain tumours. University of Birmingham. Ph.D.
Tantisatirapong, Suchada (2015). Texture analysis of multimodal magnetic resonance images in support of diagnostic classification of childhood brain tumours. University of Birmingham. Ph.D.
Metcalfe-Smith, Emma ORCID: https://orcid.org/0000-0003-0805-1358 (2020). The development of a novel MRI based method for measuring blood perfusion in neurovascular damage. University of Birmingham. Ph.D.