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Paper Citation Record · LEDGER

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.02334.

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pith.paper-citation-record.v1
1908.02334 v1

Coverage vector

measured 28 of 28 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation cbed2d6d-2591-4111-9101-2752f99f84b2 · outbound

This paper cites Epidemiology of Brain Tumors.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Epidemiology of Brain Tumors

Reference 1

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This paper cites WHO classification of tumours of the central nervous system, revised, 4th edition.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival WHO classification of tumours of the central nervous system, revised, 4th edition

Reference 2

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Observation 2c25d87d-cc64-46c4-b006-3d3a04556a00 · outbound

This paper cites Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas

Reference 3

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This paper cites Toward an effective strategy in glioblastoma treatment.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Toward an effective strategy in glioblastoma treatment

Reference 4

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Observation 2942c2dd-7c56-4fe5-aba6-23b5c32e1285 · outbound

This paper cites Limitations of stereotactic biopsy in the initial management of gliomas.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Limitations of stereotactic biopsy in the initial management of gliomas

Reference 5

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This paper cites Blurring the boundaries between frame-based and frameless sterotaxy: feasibility study for brain biopsies performed with the use of a head -mounted robot.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Blurring the boundaries between frame-based and frameless sterotaxy: feasibility study for brain biopsies performed with the use of a head -mounted robot

Reference 6

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Observation 33f8b077-517c-4bc9-aeea-687ee746c487 · outbound

This paper cites Molecular imaging of diffuse low grade glioma.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Molecular imaging of diffuse low grade glioma

Reference 7

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Observation 1b29e4a1-623e-40a5-a8be-2ef2f46f4699 · outbound

This paper cites Utility of multiparametr ic 3 -T MRI for glioma characterization.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Utility of multiparametr ic 3 -T MRI for glioma characterization

Reference 8

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This paper cites The utility of diffusion MRI with quantitative ADC measurements for differentiating high -grade from low -grade cerebral gliomas: Evidence from a meta- analysis.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival The utility of diffusion MRI with quantitative ADC measurements for differentiating high -grade from low -grade cerebral gliomas: Evidence from a meta- analysis

Reference 9

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This paper cites Radiomics: images are more than pictures, they are data.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Radiomics: images are more than pictures, they are data

Reference 10

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This paper cites Classification of small lesions in breast MRI: Evaluating the role of dynamically extracted texture features through feature selection.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Classification of small lesions in breast MRI: Evaluating the role of dynamically extracted texture features through feature selection

Reference 11

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This paper cites Development and clinical application of radiomics in lung cancer.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Development and clinical application of radiomics in lung cancer

Reference 12

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This paper cites Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images

Reference 13

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Observation f2552229-74b1-4246-a229-6d5b2a6cbbc0 · outbound

This paper cites Data-driven grading of brain gliomas: A multiparametric MR imaging study.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Data-driven grading of brain gliomas: A multiparametric MR imaging study

Reference 14

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This paper cites The multimodal brain tumor image segmentation benchmark (BRATS).

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival The multimodal brain tumor image segmentation benchmark (BRATS)

Reference 15

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This paper cites Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features

Reference 16

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This paper cites Brain tumor segmentation and radiomics survival prediction: Contribution to the BRATS 2017 challenge.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Brain tumor segmentation and radiomics survival prediction: Contribution to the BRATS 2017 challenge

Reference 17

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Observation 0f14bdba-f437-4ba0-a02d-48c99816b397 · outbound

This paper cites Voxel -based clustered imaging by multiparameter diffusion tensor images for glioma grading.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Voxel -based clustered imaging by multiparameter diffusion tensor images for glioma grading

Reference 18

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This paper cites Radiomics strategy for glioma grading using texture features from multiparametric MRI.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Radiomics strategy for glioma grading using texture features from multiparametric MRI

Reference 19

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This paper cites Diffusion weighted magnetic resonance imaging and its recent trend—a survey.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Diffusion weighted magnetic resonance imaging and its recent trend—a survey

Reference 20

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This paper cites Polarization in relativistic fluids: a quantum field theoretical derivation.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Polarization in relativistic fluids: a quantum field theoretical derivation

Reference 21

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This paper cites Improving diagnostic accuracy and interobserver concordance in the classification and grading of primary gliomas.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Improving diagnostic accuracy and interobserver concordance in the classification and grading of primary gliomas

Reference 22

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This paper cites Intracranial mass lesions: dynamic contrast -enhanced susceptibility-weighted echo-planar perfusion MR imaging.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Intracranial mass lesions: dynamic contrast -enhanced susceptibility-weighted echo-planar perfusion MR imaging

Reference 23

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Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Unresolved cited work

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This paper cites Population-Based Studies on Incidence, Survival Rates, and Genetic Alterations in Astrocytic and Oligodendroglial Gliomas.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Population-Based Studies on Incidence, Survival Rates, and Genetic Alterations in Astrocytic and Oligodendroglial Gliomas

Reference 25

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This paper cites CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2008- 2012.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2008- 2012

Reference 26

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This paper cites Demographic variation in incidence of adult glioma by subtype, United States, 1992-2007.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Demographic variation in incidence of adult glioma by subtype, United States, 1992-2007

Reference 27

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This paper cites Anatomical features of glioblastoma and their potential impact on survival.

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival Anatomical features of glioblastoma and their potential impact on survival

Reference 28

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