Richard Grundy

(Former)

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Most downloaded publications

Magnetic resonance spectroscopy metabolite profiles predict survival in paediatric brain tumours
Martin Wilson, Carole Cummins, Yu Sun, Richard Grundy & Andrew Peet, Jan 2013, In : European Journal of Cancer . 49, 2

Research output: Contribution to journal › Article

182 downloads
Metabolite Levels in Paediatric Brain Tumours Correlate with Histological Features
Sarah Kohe, Yu Sun, Martin Wilson, Theodoros Arvanitis, Richard Grundy & Andrew Peet, May 2018, In : Pathobiology. 85, 3, p. 157–168

Research output: Contribution to journal › Article

120 downloads
Distinguishing between paediatric brain tumour types using multi-parametric magnetic resonance imaging and machine learning: a multi-site study
James Grist, Jan Novak, Richard Grundy, Theodoros Arvanitis & Andrew Peet, 23 Jan 2020, In : NeuroImage: Clinical. 25, p. 1-6 6 p., 102172.

Research output: Contribution to journal › Article

25 downloads

Recent publications

Distinguishing between paediatric brain tumour types using multi-parametric magnetic resonance imaging and machine learning: a multi-site study
James Grist, Jan Novak, Richard Grundy, Theodoros Arvanitis & Andrew Peet, 23 Jan 2020, In : NeuroImage: Clinical. 25, p. 1-6 6 p., 102172.

Research output: Contribution to journal › Article

Metabolite Levels in Paediatric Brain Tumours Correlate with Histological Features
Sarah Kohe, Yu Sun, Martin Wilson, Theodoros Arvanitis, Richard Grundy & Andrew Peet, May 2018, In : Pathobiology. 85, 3, p. 157–168

Research output: Contribution to journal › Article

Magnetic resonance spectroscopy metabolite profiles predict survival in paediatric brain tumours
Martin Wilson, Carole Cummins, Yu Sun, Richard Grundy & Andrew Peet, Jan 2013, In : European Journal of Cancer . 49, 2

Research output: Contribution to journal › Article

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