(Q46899291)

26 December 2017

review article

1 reference

title

Quantitative parametric analysis of contrast-enhanced lesions in dynamic MR mammography (English)

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26 December 2017

author name string

E A M Hauth

1

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26 December 2017

H Jaeger

2

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26 December 2017

S Maderwald

3

1 reference

26 December 2017

A Mühler

4

1 reference

26 December 2017

R Kimmig

5

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26 December 2017

M Forsting

6

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26 December 2017

language of work or name

German

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publication date

1 June 2008

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26 December 2017

published in

Radiologe

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26 December 2017

volume

48

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26 December 2017

issue

6

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26 December 2017

page(s)

593-600

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26 December 2017

https://scigraph.springernature.com/pub.10.1007/s00117-007-1562-0

exact match

0 references

cites work

Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?

1 reference

https://api.crossref.org/works/10.1007%2FS00117-007-1562-0

[Combination of low and high resolution T1-weighted sequences for improved evaluation of morphologic criteria in dynamic contrast enhanced MRI of the breast]

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00117-007-1562-0

Clinical testing of high-spatial-resolution parametric contrast-enhanced MR imaging of the breast

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00117-007-1562-0

[Retrospective analysis of a computer-aided detection (CAD) system in full-field digital mammography in correlation to tumor histology]

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00117-007-1562-0

[Self-organizing neural networks for automatic detection and classification of contrast (media) enhancement of lesions in dynamic MR-mammography].

21 January 2018

1 reference

https://api.crossref.org/works/10.1007%2FS00117-007-1562-0

Correlation of high-resolution breast MR imaging with histopathology; validation of a technique

21 January 2018

1 reference

12 December 2020

Application of artificial neural networks to the analysis of dynamic MR imaging features of the breast

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12 December 2020

Breast cancer imaging with MRI.

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12 December 2020

Breast fibroadenoma: mapping of pathophysiologic features with three-time-point, contrast-enhanced MR imaging--pilot study

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12 December 2020

Observer variability in the interpretation of contrast enhanced MRI of the breast.

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12 December 2020

[Computer aided diagnosis in chest radiology - current topics and techniques]

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12 December 2020

Impact of computer-aided detection in a regional screening mammography program.

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12 December 2020

[Standardization and acceleration of quantitative analysis of dynamic MR mammographies via parametric images and automatized ROI definition]

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12 December 2020

Computer-aided detection with screening mammography in a university hospital setting

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12 December 2020

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12 December 2020

Mapping pathophysiological features of breast tumors by MRI at high spatial resolution

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12 December 2020

Dynamic contrast-enhanced imaging and analysis at high spatial resolution of MCF7 human breast tumors.

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12 December 2020

Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics.

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12 December 2020

Computer Aided Detection (CAD) for breast MRI

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12 December 2020

Critical role of spatial resolution in dynamic contrast-enhanced breast MRI

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12 December 2020

Evaluation of the three-time-point method for diagnosis of breast lesions in contrast-enhanced MR mammography.

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12 December 2020

Computer-aided detection in the United Kingdom National Breast Screening Programme: prospective study

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12 December 2020

Healthy premenopausal breast parenchyma in dynamic contrast-enhanced MR imaging of the breast: normal contrast medium enhancement and cyclical-phase dependency

1 reference

12 December 2020

10.1007/S00117-007-1562-0

Identifiers

DOI

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26 December 2017

1 reference

26 December 2017