Andrew Peet
0000-0002-4846-5152
University of California
5 papers found
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Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data
Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study
Added value of magnetic resonance spectroscopy for diagnosing childhood cerebellar tumours
Distinguishing between paediatric brain tumour types using multi-parametric magnetic resonance imaging and machine learning: A multi-site study
Ex vivo metabolite profiling of paediatric central nervous system tumours reveals prognostic markers
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