Airway tree reconstruction in expiration chest CT scans facilitated by information transfer from corresponding inspiration scans.

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Airway tree reconstruction in expiration chest CT scans facilitated by information transfer from corresponding inspiration scans.

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http://www.wikidata.org/entity/Q38571615

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2016 nî lūn-bûn

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2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

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2016年论文

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2016年论文

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name

Airway tree reconstruction in ...... rresponding inspiration scans.

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type

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label

Airway tree reconstruction in ...... rresponding inspiration scans.

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prefLabel

Airway tree reconstruction in ...... rresponding inspiration scans.

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P1476

Airway tree reconstruction in ...... rresponding inspiration scans.

@en

P2093

Christian Bauer

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

Reinhard R Beichel

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P2860

CT based computerized identification and analysis of human airways: a review

Chest wall strapping. An old physiology experiment with new relevance to small airways diseases

Optimal graph search based segmentation of airway tree double surfaces across bifurcations.

Effect of lung volume on airway luminal area assessed by computed tomography in chronic obstructive pulmonary disease.

Bronchodilation response to deep inspirations in asthma is dependent on airway distensibility and air trapping.

Association between airway caliber changes with lung inflation and emphysema assessed by volumetric CT scan in subjects with COPD.

Automated lobe-based airway labeling.

The airway response to deep inspirations decreases with COPD severity and is associated with airway distensibility assessed by computed tomography

Static end-expiratory and dynamic forced expiratory tracheal collapse in COPD.

Graph-Based Airway Tree Reconstruction From Chest CT Scans: Evaluation of Different Features on Five Cohorts.

P304

1312-1323

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P31

scholarly article

P356

10.1118/1.4941692

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P407

English

P433

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P478

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P50

Michael Eberlein

P577

2016-03-01T00:00:00Z

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P5875

295084088

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P698

26936716

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P932

4760977

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