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Archives of Disease in Childhood. Education and Practice Edition
|
August 28, 2017
What is MR spectroscopy?
Karen Angela Manias, Andrew Peet
Magnetic Resonance in Medicine
|
October 10, 2006
An algorithm for the automated quantitation of metabolites in in vitro NMR signals
Greg Reynolds, Martin Wilson, Andrew Peet, et al.
JMIR Medical Informatics
|
May 4, 2018
Automated Modular Magnetic Resonance Imaging Clinical Decision Support System (MIROR): An Application in Pediatric Cancer Diagnosis
Niloufar Zarinabad, Emma M Meeus, Karen Manias, et al.
The Lancet. Oncology
|
June 15, 2016
Proton beam therapy for medulloblastoma
Martin English, Richard G Grundy, Andrew Peet, et al.
Plos One
|
January 30, 2025
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
Daniel J Griffiths-King, Christopher Delivett, Andrew Peet, et al.
Archives of Disease in Childhood
|
August 9, 2019
Qualitative study: patients' and parents' views on brain tumour MRIs
Natalie Tyldesley-Marshall, Sheila Greenfield, Susan Neilson, et al.
Child'S Nervous System : Chns : Official Journal of the International Society for Pediatric Neurosurgery
|
May 11, 2021
European Society for Paediatric Oncology (SIOPE) MRI guidelines for imaging patients with central nervous system tumours
Shivaram Avula, Andrew Peet, Giovanni Morana, et al.
BMC Cancer
|
September 11, 2021
The role of Magnetic Resonance Images (MRIs) in coping for patients with brain tumours and their parents: a qualitative study
Natalie Tyldesley-Marshall, Sheila Greenfield, Susan J Neilson, et al.
Cancers
|
January 11, 2022
The Molecular Landscape of Medulloblastoma in Teenagers and Young Adults
Omar J Mohammed, Maria Estevez Cebrero, Omar Ahmad, et al.
Frontiers in Neurology
|
November 16, 2020
Brain Age Prediction of Children Using Routine Brain MR Images via Deep Learning
Jin Hong, Zhangzhi Feng, Shui-Hua Wang, et al.
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of 3
Search research articles
Search
Showing results (1-10 of 28) with videos related to
Sort By:
Page
of 3
Archives of Disease in Childhood. Education and Practice Edition
|
August 28, 2017
What is MR spectroscopy?
Karen Angela Manias, Andrew Peet
Magnetic Resonance in Medicine
|
October 10, 2006
An algorithm for the automated quantitation of metabolites in in vitro NMR signals
Greg Reynolds, Martin Wilson, Andrew Peet, et al.
JMIR Medical Informatics
|
May 4, 2018
Automated Modular Magnetic Resonance Imaging Clinical Decision Support System (MIROR): An Application in Pediatric Cancer Diagnosis
Niloufar Zarinabad, Emma M Meeus, Karen Manias, et al.
The Lancet. Oncology
|
June 15, 2016
Proton beam therapy for medulloblastoma
Martin English, Richard G Grundy, Andrew Peet, et al.
Plos One
|
January 30, 2025
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
Daniel J Griffiths-King, Christopher Delivett, Andrew Peet, et al.
Archives of Disease in Childhood
|
August 9, 2019
Qualitative study: patients' and parents' views on brain tumour MRIs
Natalie Tyldesley-Marshall, Sheila Greenfield, Susan Neilson, et al.
Child'S Nervous System : Chns : Official Journal of the International Society for Pediatric Neurosurgery
|
May 11, 2021
European Society for Paediatric Oncology (SIOPE) MRI guidelines for imaging patients with central nervous system tumours
Shivaram Avula, Andrew Peet, Giovanni Morana, et al.
BMC Cancer
|
September 11, 2021
The role of Magnetic Resonance Images (MRIs) in coping for patients with brain tumours and their parents: a qualitative study
Natalie Tyldesley-Marshall, Sheila Greenfield, Susan J Neilson, et al.
Cancers
|
January 11, 2022
The Molecular Landscape of Medulloblastoma in Teenagers and Young Adults
Omar J Mohammed, Maria Estevez Cebrero, Omar Ahmad, et al.
Frontiers in Neurology
|
November 16, 2020
Brain Age Prediction of Children Using Routine Brain MR Images via Deep Learning
Jin Hong, Zhangzhi Feng, Shui-Hua Wang, et al.
Page
of 3