Andrew C. Peet

Birmingham, ENG, United Kingdom

Last Updated: 09/26/2026

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Found 92 publications

Evaluating the impact of segmentation strategies on radiomic feature stability for paediatric brain tumour diagnosis using diffusion weighted imaging.

Evaluating the impact of segmentation strategies on radiomic feature stability for paediatric brain tumour diagnosis using diffusion weighted imaging.

Journal: PloS one

Published: May 18, 2026

Deep learning segmentation of paediatric brain tumours using diffusion-weighted MRI: towards an early, in vivo classification pipeline.

Deep learning segmentation of paediatric brain tumours using diffusion-weighted MRI: towards an early, in vivo classification pipeline.

Journal: Brain communications

Published: June 10, 2025

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation.

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation.

Journal: The Lancet. Oncology

Published: May 30, 2025

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art.

Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art.

Journal: The Lancet. Oncology

Published: May 30, 2025

Sodium valproate, a potential repurposed treatment for the neurodegeneration in Wolfram syndrome (TREATWOLFRAM): trial protocol for a pivotal multicentre, randomised double-blind controlled trial.

Sodium valproate, a potential repurposed treatment for the neurodegeneration in Wolfram syndrome (TREATWOLFRAM): trial protocol for a pivotal multicentre, randomised double-blind controlled trial.

Journal: BMJ open

Published: February 26, 2025

MYC-dependent upregulation of the de novo serine and glycine synthesis pathway is a targetable metabolic vulnerability in group 3 medulloblastoma.

MYC-dependent upregulation of the de novo serine and glycine synthesis pathway is a targetable metabolic vulnerability in group 3 medulloblastoma.

Journal: Neuro-oncology

Published: October 08, 2024

Accurate Paediatric Brain Tumour Classification Through Improved Quantitative Analysis of 1H MR Imaging and Spectroscopy.

Accurate Paediatric Brain Tumour Classification Through Improved Quantitative Analysis of 1H MR Imaging and Spectroscopy.

Journal: NMR in biomedicine

Published: September 24, 2024

Simvastatin suppresses spinal cord metastasis of medulloblastoma at clinically significant doses.

Simvastatin suppresses spinal cord metastasis of medulloblastoma at clinically significant doses.

Journal: Cell death & disease

Published: July 22, 2024

Limited research investigating the value of MRI in predicting future cognitive morbidity in survivors of paediatric brain tumours: A systematic-review and call to action for clinical neuroimaging researchers.

Limited research investigating the value of MRI in predicting future cognitive morbidity in survivors of paediatric brain tumours: A systematic-review and call to action for clinical neuroimaging researchers.

Journal: PloS one

Published: July 22, 2024

Bevacizumab, Irinotecan, or Topotecan Added to Temozolomide for Children With Relapsed and Refractory Neuroblastoma: Results of the ITCC-SIOPEN BEACON-Neuroblastoma Trial.

Bevacizumab, Irinotecan, or Topotecan Added to Temozolomide for Children With Relapsed and Refractory Neuroblastoma: Results of the ITCC-SIOPEN BEACON-Neuroblastoma Trial.

Journal: Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Published: January 08, 2024

Metabolite profiles of medulloblastoma for rapid and non-invasive detection of molecular disease groups.

Metabolite profiles of medulloblastoma for rapid and non-invasive detection of molecular disease groups.

Journal: EBioMedicine

Published: August 04, 2023

Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data.

Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data.

Journal: The British journal of radiology

Published: February 21, 2023

Showing 1-12 of 92

Last Updated: 09/26/2026