Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy. - Wikidata - awgldk - TriplyDB

Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy.

Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy.

http://www.wikidata.org/entity/Q33556108

about

Magnetic resonance spectroscopy - Revisiting the biochemical and molecular milieu of brain tumors Using magnetic resonance imaging and spectroscopy in cancer diagnostics and monitoring: preclinical and clinical approaches A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data Advanced magnetic resonance imaging biomarkers of cerebral metastases.Convex non-negative matrix factorization for brain tumor delimitation from MRSI data.Functional imaging in adult and paediatric brain tumours.Clinical proton MR spectroscopy in central nervous system disorders Fast spectroscopic multiple analysis (FASMA) for brain tumor classification: a clinical decision support system utilizing multi-parametric 3T MR data.Morphometric model for discrimination between glioblastoma multiforme and solitary metastasis using three-dimensional shape analysis.Classification of brain tumours from MR spectra: the INTERPRET collaboration and its outcomes.Applying probabilistic temporal and multisite data quality control methods to a public health mortality registry in Spain: a systematic approach to quality control of repositories.SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system Integrating diffusion kurtosis imaging, dynamic susceptibility-weighted contrast-enhanced MRI, and short echo time chemical shift imaging for grading gliomas.The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses.Review: magnetic resonance spectroscopy studies of pediatric major depressive disorder Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra.Manual and semi-automatic quantification of in vivo ¹H-MRS data for the classification of human primary brain tumors.Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours Multicentre imaging measurements for oncology and in the brain.Quantitative short echo time 1H MRSI of the peripheral edematous region of human brain tumors in the differentiation between glioblastoma, metastasis, and meningioma.Automated differentiation of glioblastomas from intracranial metastases using 3T MR spectroscopic and perfusion data.Volumetric spectroscopic imaging of glioblastoma multiforme radiation treatment volumes.Optimal differentiation of high- and low-grade glioma and metastasis: a meta-analysis of perfusion, diffusion, and spectroscopy metrics.Diagnostic and prognostic value of 18F-DOPA PET and 1H-MR spectroscopy in pediatric supratentorial infiltrative gliomas: a comparative study.Strategies for annotation and curation of translational databases: the eTUMOUR project Diagnosing relapse in children's brain tumors using metabolite profiles Triple-negative breast cancer: present challenges and new perspectives.Big GABA: Edited MR spectroscopy at 24 research sites.Extracting MRS discriminant functional features of brain tumors.Quality of clinical brain tumor MR spectra judged by humans and machine learning tools.Spectroscopy imaging in intraoperative MR suite: tissue characterization and optimization of tumor resection.Exploration of human brain tumour metabolism using pairwise metabolite-metabolite correlation analysis (MMCA) of HR-MAS 1H NMR spectra.Classification of single-voxel 1H spectra of childhood cerebellar tumors using LCModel and whole tissue representations.Unmet needs in the treatment of glioblastoma.(1) H 2D MRSI tissue type analysis of gliomas.Prospective diagnostic performance evaluation of single-voxel 1H MRS for typing and grading of brain tumours.A convolutional neural network to filter artifacts in spectroscopic MRI.Robust discrimination of glioblastomas from metastatic brain tumors on the basis of single-voxel (1)H MRS.Classification of single-voxel 1H spectra of brain tumours using LCModel.Imaging in neuro-oncology.

P2860

Q26751140-10A7A45F-A4A6-4F84-8390-3F8428CD18BD Q26865120-2A832F78-CA43-43F0-96BF-5597ED26C555 Q30000658-9A620A78-816C-4D0D-9BD5-EF1E7D8C7CEA Q30560150-BB9ED2B7-6679-40E8-82AE-D1CE14C4A606 Q30575323-2F99551E-8704-4EE7-BC9A-FCEF295E8EB2 Q30577397-761D3836-0137-47FA-A4B8-6AA24516FC7D Q30764446-78D3D906-44F4-44CE-9A6B-5AB7965DD604 Q30836527-81F5A370-C5E9-4282-B026-98F29CB5AFF8 Q30980326-11BCE30D-18BD-48A6-921F-CB629455FF37 Q31036955-AD2709B4-1432-442C-91D1-BB2BB854FB0F Q31083590-00616676-0BF8-46D0-A44B-6B7072958BF5 Q33534056-DDEE980F-56A1-4FFA-9963-5B31C51E35FA Q33753445-4264F4E4-74F9-4098-A236-05B134E0FBEA Q33757835-FD33A3CE-D874-4BA6-B86D-1160E642E662 Q33783427-7E93E26A-E749-4E4B-A078-8F3368E5BE0A Q33798119-064E923C-C81F-49A4-8081-AF402397B025 Q33869917-F1E6D906-B4A2-4948-AB00-1F4ECD9298F9 Q34188634-6CC19E80-FF1A-48BB-923D-9BD88C32FF04 Q34203974-55BF11B4-2C56-44BC-B328-39AAA2E90319 Q34320779-C5F3759C-3E71-466A-A601-DC8C05E4E22B Q34555243-E10ACBB8-F78F-4663-9E29-670B4429032E Q35136926-EAD2EC04-076F-4727-929C-E5CFCD2215C7 Q35894329-602EFC5F-417B-43E3-BC57-2A7F805DC4D5 Q36250739-8463B91E-F605-4B3F-B98C-90D20386FAF9 Q36418095-E5A7218D-A6B1-4BE7-BB2A-6B5B7C6F2529 Q37409750-6A9B104F-E988-4622-86F2-D37C7B71445D Q37764168-36A55888-B164-43E9-B4D0-A0EB8EE04EA6 Q38656256-A3E54680-B30D-4CD8-98D2-15BC6BA93158 Q44294551-753CF70B-A151-42AD-927C-67AAFE185833 Q45945104-97BBF953-E57E-4388-8579-B3A7D00A7CD2 Q46623342-B00CC37F-AF93-4A82-843D-FCC69D9DA67D Q47152508-CB96F866-0F77-4860-97FB-40F0B04C9F34 Q47271845-5555C172-D76D-422C-ADEF-37A99DAC86AC Q48614301-BE6A00C1-BE7F-4B2B-A325-9FACA1B10FCB Q48737714-4928A064-24FE-457B-BF09-C042BD5397F8 Q48875149-0BA3EB6C-7AFE-4D3C-B9E3-6CD626ED397F Q50420229-1FA5596B-A0DE-473B-A628-2A6A23CC87B7 Q51499135-5B304AFB-A3D6-41BA-95E2-F1A2E266C495 Q51544650-6A46BFA2-368C-41BD-B50A-80CA614B88FE Q54973707-A9811A64-BACC-4CE4-84F7-368D761A0252

P2860

Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy.

http://www.wikidata.org/entity/Q33556108

description

2008 nî lūn-bûn

@nan

2008 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2008 թվականի նոյեմբերին հրատարակված գիտական հոդված

@hy

2008年の論文

@ja

2008年論文

@yue

2008年論文

@zh-hant

2008年論文

@zh-hk

2008年論文

@zh-mo

2008年論文

@zh-tw

2008年论文

@wuu

name

Multiproject-multicenter evalu ...... gnetic resonance spectroscopy.

@ast

Multiproject-multicenter evalu ...... gnetic resonance spectroscopy.

@en

Multiproject-multicenter evalu ...... gnetic resonance spectroscopy.

@nl

type

label

Multiproject-multicenter evalu ...... gnetic resonance spectroscopy.

@ast

Multiproject-multicenter evalu ...... gnetic resonance spectroscopy.

@en

Multiproject-multicenter evalu ...... gnetic resonance spectroscopy.

@nl

prefLabel

Multiproject-multicenter evalu ...... gnetic resonance spectroscopy.

@ast

Multiproject-multicenter evalu ...... gnetic resonance spectroscopy.

@en

Multiproject-multicenter evalu ...... gnetic resonance spectroscopy.

@nl

P1433

Q33556108-024177C6-D9CA-4A66-9E0C-488ABA127788

P1476

Q33556108-FB45A18E-D365-40D7-B1BE-88BDAF567E2C

P2093

Q33556108-1A96A982-1D61-4937-96FE-1DBD3996B28A

Q33556108-206CFAA8-4D7F-484B-9489-E2293558D2E7

Q33556108-31E03B49-3041-4FD8-9B0B-99771006B821

Q33556108-34875195-3F79-4814-B708-348346827DA4

Q33556108-6356F217-F4FE-4845-A0E1-FA9FB1F9010F

Q33556108-A5D997B8-38E2-402F-95B1-BCA5ECC02D12

Q33556108-A86F616D-7AFE-480E-B6EB-36ADFD57CD72

Q33556108-B70ED690-2370-46E7-87EE-0E9E86D4B3FE

Q33556108-BC973E07-26D2-4B60-87CD-50056DDE627E

Q33556108-C8EBA600-EBF6-4F31-8FD7-F730394BE006

P2860

Q33556108-0D3BEA3B-FCCB-4BB3-9A9D-E794B1748F46

Q33556108-10301F04-5F6E-4961-AF90-55D701118F29

Q33556108-191E5A78-59A3-44ED-A1A4-CEDE124E171D

Q33556108-1FF0619A-38AA-4994-BAD5-F88D490F8F5B

Q33556108-2580983D-C4D2-4725-8768-F46F1EEACA5A

Q33556108-307DEE3F-B40D-4B51-80B8-692C78B1207B

Q33556108-30874889-C034-4FC1-9A4A-3D42AB50C14B

Q33556108-35C7F95A-D99E-4463-828C-5F7C87C15A2A

Q33556108-39BB935F-872B-42A7-9B43-E6A79B431778

Q33556108-490F16DD-2CD2-4DD4-BADD-612290A5AE96

P2888

Q33556108-D0846305-F140-416F-916D-B4EC5142D27F

P304

Q33556108-67A9DE2E-D485-44C6-B034-05002DD23CE0

P31

Q33556108-2F826FCD-8A47-4115-A11C-E9097E4B21FE

P356

Q33556108-A3E38531-57D6-4502-BF3B-65D0DD8B1ABD

P433

Q33556108-428651AB-890E-441B-A9EE-55D7B086FE5F

P478

Q33556108-0ECE1FCA-D0AC-4B1A-BF56-FF2FF2BB2D96

P50

Q33556108-30035A01-7016-4461-9A29-3F3C37CF8B87

Q33556108-4F2D8AAB-1BBA-4A32-9394-895722E5EA63

Q33556108-742F3D1B-998A-4CA3-B3D7-752E3E912BF3

Q33556108-A190575D-2A03-4B58-8631-655DE3A136A6

Q33556108-C1DD68D8-88E7-44F3-9D53-7A1EDA4F7924

Q33556108-C1F0B0F2-8DF3-4027-92EE-D934A6BDD793

Q33556108-C6256BEB-9F74-4FBD-8A9A-13341185A786

Q33556108-CFE259A1-4B92-4EF5-9B6C-E2FAEFF983EA

Q33556108-E6CA790D-B176-4E88-9A11-3F2D629BE43B

Q33556108-FA19EAE0-A890-4021-88FD-80553F5FBB0B

P577

Q33556108-9BDFCFFC-1F18-4A11-BAB9-5C0C396A8890

P5875

Q33556108-55985010-AF9D-4721-8D19-DA1A379433A9

P698

Q33556108-B4230ADF-C349-46CD-992C-EA140B5063C1

P921

Q33556108-4BA57AC4-CA8A-4882-BB1A-4650CED944A4

Q33556108-72337E93-4236-4A63-A283-B80B0CB4F261

P932

Q33556108-8F59C2FB-FE8B-433B-B296-9E17CC9346F2

P356

S10334-008-0146-Y

P1433

Magnetic Resonance Materials in Physics, Biology and Medicine

P1476

Multiproject-multicenter evalu ...... agnetic resonance spectroscopy

@en

P2093

Angel Moreno-Torres

http://www.w3.org/2001/XMLSchema#string

Bernardo Celda

http://www.w3.org/2001/XMLSchema#string

Geert Postma

http://www.w3.org/2001/XMLSchema#string

Jan Luts

http://www.w3.org/2001/XMLSchema#string

Javier Vicente Robledo

http://www.w3.org/2001/XMLSchema#string

Jesús Pujol

http://www.w3.org/2001/XMLSchema#string

Johan Suykens

http://www.w3.org/2001/XMLSchema#string

Lutgarde Buydens

http://www.w3.org/2001/XMLSchema#string

Patrick Krooshof

http://www.w3.org/2001/XMLSchema#string

Sabine Van Huffel

http://www.w3.org/2001/XMLSchema#string

P2860

Optimization of residual water signal removal by HLSVD on simulated short echo time proton MR spectra of the human brain.

Java-based graphical user interface for MRUI, a software package for quantitation of in vivo/medical magnetic resonance spectroscopy signals.

[The contribution of magnetic resonance spectroscopy to the classification of high grade gliomas. The predictive value of macromolecules]

1H MR spectroscopy of brain tumours and masses.

Classification of brain tumours using short echo time 1H MR spectra.

Brain tumor classification by proton MR spectroscopy: comparison of diagnostic accuracy at short and long TE.

The use of multivariate MR imaging intensities versus metabolic data from MR spectroscopic imaging for brain tumour classification.

MRS quality assessment in a multicentre study on MRS-based classification of brain tumours.

Fast nosological imaging using canonical correlation analysis of brain data obtained by two-dimensional turbo spectroscopic imaging.

Magnetic resonance spectroscopy in vivo: applications in neurological disorders.

P2888

s10334-008-0146-y

P304

5-18

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1007/S10334-008-0146-Y

http://www.w3.org/2001/XMLSchema#string

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

22

http://www.w3.org/2001/XMLSchema#string

P50

Montserrat Robles Viejo

Margarida Julià-Sapé

Salvador Tortajada

M.Carmen Martínez-Bisbal

Elies Fuster-García

Juan García-Gomez

P577

2008-11-07T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

47212808

http://www.w3.org/2001/XMLSchema#string

P698

18989714

http://www.w3.org/2001/XMLSchema#string

P921

multicenter trial

P932

2797843

http://www.w3.org/2001/XMLSchema#string