Multivariate methods for interpretable analysis of magnetic resonance spectroscopy data in brain tumour diagnosis

A Vilamala Muñoz - 2015 - upcommons.upc.edu
Magnetic Resonance Spectroscopy, which is the focus of this thesis, and its use as a diagnostic
… The chapter ends with a review of this data output that will be the basis of the analyses

[PDF][PDF] Multivariate methods for interpretable analysis of magnetic resonance spectroscopy data in brain tumour diagnosis

A Vilamala Muñoz - 2016 - core.ac.uk
Magnetic Resonance Spectroscopy, which is the focus of this thesis, and its use as a diagnostic
… The chapter ends with a review of this data output that will be the basis of the analyses

Brain tumor classification using magnetic resonance spectroscopy

JM García-Gómez - … the Central Nervous system, Volume 3: Brain Tumors …, 2011 - Springer
method for studying the variability in multivariate data.… represents the structure of the data in
an interpretable way. In the … -MR spectra of histopathologically diagnosed brain tumor cases …

Classification of brain tumours by pattern recognition of magnetic resonance imaging and spectroscopic data

AK Devos, S van Huffel, AW Simonetti… - … Prediction in Cancer, 2007 - Elsevier
Magnetic Resonance Spectroscopy provides chemical … visualization of the multidimensional
data and it can be used for … to present fused data in a highly interpretable and objective way…

Machine learning assisted intraoperative assessment of brain tumor margins using HRMAS NMR spectroscopy

D Cakmakci, EO Karakaslar, E Ruhland… - PLoS Computational …, 2020 - journals.plos.org
… cavity using Nuclear Magnetic Resonance technology which … The histopathological
classification of primary brain tumors is… approach is efficient, accurate and interpretable. It can …

[PDF][PDF] Investigation of brain tumor classification and its reliability using chemometrics on MR spectroscopy and MR imaging data

AW Simonetti - 2004 - repository.ubn.ru.nl
magnetic resonance spectroscopic images of brain tumors: … is to develop novel multivariate
segmentation techniques that … be easily interpretable in the space of the original variables. …

[PDF][PDF] A Survey on Visualizing Magnetic Resonance Spectroscopy Data.

M Nunes, A Laruelo, S Ken, A Laprie, K Bühler - VCBM, 2014 - diglib.eg.org
… quality parameters in order to be clinically interpretable [ÖAB … FDG-PET and MRSI data from
pediatric brain tumours [HSSP … applications on visualizing multivariate data was achieved. …

[PDF][PDF] CLASSIFICATION OF BRAIN TUMORS BASED ON MAGNETIC RESONANCE SPECTROSCOPY

L Jan - 2010 - lirias.kuleuven.be
analysis of the acquired data are required. This thesis focuses on the application of MRI,
MRS and MRSI for the diagnosis of brain tumors. … output, that is immediately interpretable in a …

Identifying malignant transformations in recurrent low grade gliomas using high resolution magic angle spinning spectroscopy

A Constantin, A Elkhaled, L Jalbert, R Srinivasan… - Artificial intelligence in …, 2012 - Elsevier
… effects for patients with brain tumors. High resolution magic … acquisition of in vivo magnetic
resonance spectroscopy (MRS)… with parsimonious and interpretable sets of features. The …

Characterisation of paediatric brain tumours by their MRS metabolite profiles

SK Gill, HEL Rose, M Wilson… - NMR in …, 2024 - Wiley Online Library
… 1 H-magnetic resonance spectroscopy (MRS) has the … The most commonly used multivariate
techniques include … Applying these measures should enable clinically interpretable MRS to …