Andrew C Peet

Andrew C Peet

University of Birmingham

H-index: 41

Europe-United Kingdom

About Andrew C Peet

Andrew C Peet, With an exceptional h-index of 41 and a recent h-index of 26 (since 2020), a distinguished researcher at University of Birmingham, specializes in the field of Paediatric Oncology, Functional Imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Noise suppression of proton magnetic resonance spectroscopy improves paediatric brain tumour classification

Characterisation of paediatric brain tumours by their MRS metabolite profiles

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

Limited Research Investigating the Added Value of MRI in Predicting Future Cognitive Morbidity in Survivors of Paediatric Brain Tumours: A Call to Action for Clinical …

Bevacizumab, Irinotecan, or topotecan added to temozolomide for children with relapsed and refractory neuroblastoma: results of the ITCC-SIOPEN BEACON-neuroblastoma trial

A multi-layer binary model with adaptive metabolite selection for multi-type brain tumour classification

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

Identifying new biomarkers of aggressive Group 3 and SHH medulloblastoma using 3D hydrogel models, single cell RNA sequencing and 3D OrbiSIMS imaging

Andrew C Peet Information

University

Position

NIHR Professor

Citations(all)

7074

Citations(since 2020)

3557

Cited By

4749

hIndex(all)

41

hIndex(since 2020)

26

i10Index(all)

110

i10Index(since 2020)

65

Email

University Profile Page

University of Birmingham

Google Scholar

View Google Scholar Profile

Andrew C Peet Skills & Research Interests

Paediatric Oncology

Functional Imaging

Top articles of Andrew C Peet

Title

Journal

Author(s)

Publication Date

Noise suppression of proton magnetic resonance spectroscopy improves paediatric brain tumour classification

NMR in Biomedicine

Teddy Zhao

James T Grist

Dorothee P Auer

Shivaram Avula

Simon Bailey

...

2024/3/17

Characterisation of paediatric brain tumours by their MRS metabolite profiles

NMR in Biomedicine

Simrandip K Gill

Heather EL Rose

Martin Wilson

Daniel Rodriguez Gutierrez

Lara Worthington

...

2024/2/1

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

Ebiomedicine

Sarah Kohe

Christopher Bennett

Florence Burté

Magretta Adiamah

Heather Rose

...

2024/2/1

Limited Research Investigating the Added Value of MRI in Predicting Future Cognitive Morbidity in Survivors of Paediatric Brain Tumours: A Call to Action for Clinical …

Daniel J Griffiths-King

Christopher Delivett

Andrew Peet

Jane Waite

Jan Novak

2024

Bevacizumab, Irinotecan, or topotecan added to temozolomide for children with relapsed and refractory neuroblastoma: results of the ITCC-SIOPEN BEACON-neuroblastoma trial

Journal of Clinical Oncology

Lucas Moreno

Rebekah Weston

Cormac Owens

Dominique Valteau-Couanet

Marion Gambart

...

2024/4/1

A multi-layer binary model with adaptive metabolite selection for multi-type brain tumour classification

Teddy Zhao

Shivaram Avula

Simon Bailey

Sara Burling

Tim Jaspan

...

2023/11/8

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

The British journal of radiology

Stephen J Powell

Stephanie B Withey

Yu Sun

James T Grist

Jan Novak

...

2023/5/1

Identifying new biomarkers of aggressive Group 3 and SHH medulloblastoma using 3D hydrogel models, single cell RNA sequencing and 3D OrbiSIMS imaging

Acta Neuropathologica Communications

Franziska Linke

James EC Johnson

Stefanie Kern

Christopher D Bennett

Anbarasu Lourdusamy

...

2023/1/11

MIROR: The clinical decision support system with functional imaging and machine learning

Teddy Zhao

Sara Burling

Lesley MacPherson

Lara Worthington

Theodoros Arvanitis

...

2023/11/8

Metabolite selection for machine learning in childhood brain tumour classification

NMR in Biomedicine

Dadi Zhao

James T Grist

Heather EL Rose

Nigel P Davies

Martin Wilson

...

2022/6

IMG-11. A computerised clinical decision support system for diagnosing children’s brain tumours using functional imaging and machine learning

Neuro-Oncology

Heather Rose

Arfan Ahmed

Ben Babourina-Brooks

Omar Khan

Lesley Macpherson

...

2022/6/3

Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study

Pediatric radiology

Stephanie B Withey

Lesley MacPherson

Adam Oates

Stephen Powell

Jan Novak

...

2022/5

GCT-03. MonoGerm: A proposed phase II trial of carboplatin or vinblastine monotherapy induction prior to radiotherapy for intracranial germinoma

Matthew Murray

John Apps

Anna Lawson

Laura Kirton

Andrew Peet

...

2022/6/3

Added value of magnetic resonance spectroscopy for diagnosing childhood cerebellar tumours

NMR in Biomedicine

Nigel P Davies

Heather EL Rose

Karen A Manias

Kal Natarajan

Laurence J Abernethy

...

2022/2

OTHR-20. Precision neuro-oncology in the real world. Opportunity and challenges from a UK Oncology Centre

Neuro-Oncology

John Apps

Andrew Peet

Martin English

Jenny Adamski

2022/6

MRI-based whole-tumor radiomics to classify the types of pediatric posterior fossa brain tumor

Neurochirurgie

S Wang

G Wang

W Zhang

J He

W Sun

...

2022/12/1

RARE-11. 60 years single centre experience of craniopharyngioma management

Neuro-Oncology

Beryl Rodrigues

Jenny Adamski

Martin English

Helen Curry

Guirish Solanki

...

2022/6

The molecular landscape of medulloblastoma in teenagers and young adults

Cancers

Omar J Mohammed

Maria Estevez Cebrero

Omar Ahmad

Andrew Peet

Richard G Grundy

...

2022/1/5

MRI and molecular characterization of pediatric high-grade midline thalamic gliomas: the HERBY phase II trial

Radiology

Daniel Rodriguez

Raphael Calmon

Esther Sanchez Aliaga

Daniel Warren

Monika Warmuth-Metz

...

2022/7

MEDB-79. MYC-driven upregulation of thede novo serine and glycine pathway is a novel therapeutic target for Group 3 MYC-amplified Medulloblastoma

Neuro-Oncology

Magretta Adiamah

Janet C Lindsey

Florence Burté

Sarah Kohe

Alaide Morcavallo

...

2022/6/1

See List of Professors in Andrew C Peet University(University of Birmingham)