Andrew C Peet, PhD, MBBS

Affiliations: 
Institute of Cancer and Genomic Sciences University of Birmingham, Birmingham, England, United Kingdom 
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"Andrew Peet"
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Publications

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Zhao T, Grist JT, Auer DP, et al. (2024) Noise suppression of proton magnetic resonance spectroscopy improves paediatric brain tumour classification. Nmr in Biomedicine. e5129
Gill SK, Rose HEL, Wilson M, et al. (2024) Characterisation of paediatric brain tumours by their MRS metabolite profiles. Nmr in Biomedicine
Zhao D, Grist JT, Rose HEL, et al. (2022) Metabolite selection for machine learning in childhood brain tumour classification. Nmr in Biomedicine. e4673
Grist JT, Withey S, MacPherson L, et al. (2020) Distinguishing between paediatric brain tumour types using multi-parametric magnetic resonance imaging and machine learning: A multi-site study. Neuroimage. Clinical. 25: 102172
Tyldesley-Marshall N, Greenfield S, Neilson S, et al. (2019) Qualitative study: patients' and parents' views on brain tumour MRIs. Archives of Disease in Childhood
Huang Y, Liu Y, Zhao D, et al. (2018) Small-world properties of the whole-brain functional networks in patients with obstructive sleep apnea-hypopnea syndrome. Sleep Medicine. 62: 53-58
Carlin D, Babourina-Brooks B, Arvanitis TN, et al. (2018) Short-acquisition-time JPRESS and its application to paediatric brain tumours. Magma (New York, N.Y.)
Babourina-Brooks B, Kohe S, Gill SK, et al. (2018) Glycine: a non-invasive imaging biomarker to aid magnetic resonance spectroscopy in the prediction of survival in paediatric brain tumours. Oncotarget. 9: 18858-18868
Orphanidou-Vlachou E, Kohe SE, Brundler MA, et al. (2018) Metabolite Levels in Paediatric Brain Tumours Correlate with Histological Features. Pathobiology : Journal of Immunopathology, Molecular and Cellular Biology
Fetit AE, Novak J, Rodriguez D, et al. (2017) Radiomics in paediatric neuro-oncology: A multicentre study on MRI texture analysis. Nmr in Biomedicine
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