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A comparison of non‐negative matrix underapproximation methods for the decomposition of magnetic resonance spectroscopy data from human brain tumors

NMR in biomedicine, 2023-12, Vol.36 (12), p.e5020-e5020

2023

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Cancer metabolism in a snapshot: MRS(I)

NMR in biomedicine, 2019-10, Vol.32 (10), p.e4054-n/a

2019

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Extraction of artefactual MRS patterns from a large database using non‐negative matrix factorization

NMR in biomedicine, 2022-04, Vol.35 (4), p.e4193-n/a

2022

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Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous

NMR in biomedicine, 2024-04, Vol.37 (4), p.e5095-n/a

2024

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Anti‐tumour immune response in GL261 glioblastoma generated by Temozolomide Immune‐Enhancing Metronomic Schedule monitored with MRSI‐based nosological images

NMR in biomedicine, 2020-04, Vol.33 (4), p.e4229-n/a

2020

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Quality of clinical brain tumor MR spectra judged by humans and machine learning tools

Magnetic resonance in medicine, 2018-05, Vol.79 (5), p.2500-2510

2018

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Metronomic treatment in immunocompetent preclinical GL261 glioblastoma: effects of cyclophosphamide and temozolomide

NMR in biomedicine, 2017-09, Vol.30 (9), p.n/a

2017

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Unraveling response to temozolomide in preclinical GL261 glioblastoma with MRI/MRSI using radiomics and signal source extraction

Scientific reports, 2020-11, Vol.10 (1), p.19699, Article 19699

2020

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Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study

Cancers, 2023-07, Vol.15 (14), p.3709

2023

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Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites

PloS one, 2020-07, Vol.15 (7), p.e0235057-e0235057

2020

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Convex non-negative matrix factorization for brain tumor delimitation from MRSI data

PloS one, 2012-10, Vol.7 (10), p.e47824-e47824

2012

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Molecular imaging coupled to pattern recognition distinguishes response to temozolomide in preclinical glioblastoma

NMR in biomedicine, 2014-11, Vol.27 (11), p.1333-1345

2014

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Prospective diagnostic performance evaluation of single-voxel 1H MRS for typing and grading of brain tumours

NMR in biomedicine, 2012-04, Vol.25 (4), p.661-673

2012

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SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system

BMC bioinformatics, 2010-02, Vol.11 (1), p.106-106, Article 106

2010

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Metabolomics of Therapy Response in Preclinical Glioblastoma: A Multi-Slice MRSI-Based Volumetric Analysis for Noninvasive Assessment of Temozolomide Treatment

Metabolites, 2017-05, Vol.7 (2), p.20

2017

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Comparison between neuroimaging classifications and histopathological diagnoses using an international multicenter brain tumor magnetic resonance imaging database

Journal of neurosurgery, 2006-07, Vol.105 (1), p.6-14

2006

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Brain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke

BMC neuroscience, 2017-01, Vol.18 (1), p.13-13, Article 13

2017

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HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis

Applied intelligence (Dordrecht, Netherlands), 2009-06, Vol.30 (3), p.191-202

2009

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Robustness of equations that define molecular subtypes of glioblastoma tumors based on five transcripts measured by RT-PCR

Omics (Larchmont, N.Y.), 2015-01, Vol.19 (1), p.41-51

2015

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Improving the classification of brain tumors in mice with perturbation enhanced (PE)-MRSI

Integrative biology (Cambridge), 2012-02, Vol.4 (2), p.183-191

2012

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Rule-Based Assistance to Brain Tumour Diagnosis Using LR-FIR

Knowledge-Based Intelligent Information and Engineering Systems, 2008, Vol.5178, p.173-180

2008

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Strategies for annotation and curation of translational databases: the eTUMOUR project

Database : the journal of biological databases and curation, 2012, Vol.2012, p.bas035-bas035

2012

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Development of a predictor for human brain tumors based on gene expression values obtained from two types of microarray technologies

Omics (Larchmont, N.Y.), 2010-04, Vol.14 (2), p.157-164

2010

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Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning

Computational and Ambient Intelligence, p.1012-1019

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Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology

Cancers, 2024-01, Vol.16 (2), p.300

2024

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A comparison of non‐negative matrix underapproximation methods for the decomposition of magnetic resonance spectroscopy data from human brain tumors

Cancer metabolism in a snapshot: MRS(I)

Extraction of artefactual MRS patterns from a large database using non‐negative matrix factorization

Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous

Anti‐tumour immune response in GL261 glioblastoma generated by Temozolomide Immune‐Enhancing Metronomic Schedule monitored with MRSI‐based nosological images

Quality of clinical brain tumor MR spectra judged by humans and machine learning tools

Metronomic treatment in immunocompetent preclinical GL261 glioblastoma: effects of cyclophosphamide and temozolomide

Unraveling response to temozolomide in preclinical GL261 glioblastoma with MRI/MRSI using radiomics and signal source extraction

Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study

Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites

Convex non-negative matrix factorization for brain tumor delimitation from MRSI data

Molecular imaging coupled to pattern recognition distinguishes response to temozolomide in preclinical glioblastoma

Prospective diagnostic performance evaluation of single-voxel 1H MRS for typing and grading of brain tumours

SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system

Metabolomics of Therapy Response in Preclinical Glioblastoma: A Multi-Slice MRSI-Based Volumetric Analysis for Noninvasive Assessment of Temozolomide Treatment

Comparison between neuroimaging classifications and histopathological diagnoses using an international multicenter brain tumor magnetic resonance imaging database

Brain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke

HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis

Robustness of equations that define molecular subtypes of glioblastoma tumors based on five transcripts measured by RT-PCR

Improving the classification of brain tumors in mice with perturbation enhanced (PE)-MRSI

Rule-Based Assistance to Brain Tumour Diagnosis Using LR-FIR

Strategies for annotation and curation of translational databases: the eTUMOUR project

Development of a predictor for human brain tumors based on gene expression values obtained from two types of microarray technologies

Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning

Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology

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