Detalhe da pesquisa
1.
Noise suppression of proton magnetic resonance spectroscopy improves paediatric brain tumour classification.
NMR Biomed
; 37(6): e5129, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38494431
2.
Characterisation of paediatric brain tumours by their MRS metabolite profiles.
NMR Biomed
; 37(5): e5101, 2024 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-38303627
3.
Added value of magnetic resonance spectroscopy for diagnosing childhood cerebellar tumours.
NMR Biomed
; 35(2): e4630, 2022 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34647377
4.
Metabolite selection for machine learning in childhood brain tumour classification.
NMR Biomed
; 35(6): e4673, 2022 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-35088473
5.
Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter study.
Pediatr Radiol
; 52(6): 1134-1149, 2022 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-35290489
6.
Application of pattern recognition techniques for classification of pediatric brain tumors by in vivo 3T 1 H-MR spectroscopy-A multi-center study.
Magn Reson Med
; 79(4): 2359-2366, 2018 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-28786132
7.
Metabolite Levels in Paediatric Brain Tumours Correlate with Histological Features.
Pathobiology
; 85(3): 157-168, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29428932
8.
Prospective multicentre evaluation and refinement of an analysis tool for magnetic resonance spectroscopy of childhood cerebellar tumours.
Pediatr Radiol
; 48(11): 1630-1641, 2018 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-30062569
9.
Expanding the phenotype in argininosuccinic aciduria: need for new therapies.
J Inherit Metab Dis
; 40(3): 357-368, 2017 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-28251416
10.
Arterial input function and gray matter cerebral blood volume measurements in children.
J Magn Reson Imaging
; 43(4): 981-9, 2016 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-26514288
11.
Metabolite profiles of medulloblastoma for rapid and non-invasive detection of molecular disease groups.
EBioMedicine
; 100: 104958, 2024 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-38184938
12.
Striking intrafamilial phenotypic variability in Aicardi-Goutières syndrome associated with the recurrent Asian founder mutation in RNASEH2C.
Am J Med Genet A
; 161A(2): 338-42, 2013 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-23322642
13.
Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data.
Br J Radiol
; 96(1145): 20201465, 2023 Apr 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36802769
14.
Short echo time single voxel 1H magnetic resonance spectroscopy in the diagnosis and characterisation of pineal tumours in children.
Pediatr Blood Cancer
; 57(6): 972-7, 2011 Dec 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-21793176
15.
Classification of paediatric brain tumours by diffusion weighted imaging and machine learning.
Sci Rep
; 11(1): 2987, 2021 02 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-33542327
16.
Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors.
Sci Rep
; 11(1): 18897, 2021 09 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-34556677
17.
Multiplex ligation-dependent probe amplification (MLPA) analysis is an effective tool for the detection of novel intragenic PLA2G6 mutations: implications for molecular diagnosis.
Mol Genet Metab
; 100(2): 207-12, 2010 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-20226704
18.
Distinguishing between paediatric brain tumour types using multi-parametric magnetic resonance imaging and machine learning: A multi-site study.
Neuroimage Clin
; 25: 102172, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32032817
19.
A comparison of pseudo-continuous arterial spin labelling and dynamic susceptibility contrast MRI with and without contrast agent leakage correction in paediatric brain tumours.
Br J Radiol
; 92(1094): 20170872, 2019 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-30358415
20.
Diagnostic accuracy and added value of qualitative radiological review of 1H-magnetic resonance spectroscopy in evaluation of childhood brain tumors.
Neurooncol Pract
; 6(6): 428-437, 2019 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-31832213