MR Image Analytics to Characterize the Upper Airway Structure in Obese Children with Obstructive Sleep Apnea Syndrome.

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MR Image Analytics to Characterize the Upper Airway Structure in Obese Children with Obstructive Sleep Apnea Syndrome.

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2016 nî lūn-bûn

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2016年の論文

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2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

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2016年論文

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2016年论文

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2016年论文

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2016年论文

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MR Image Analytics to Characte ...... tructive Sleep Apnea Syndrome.

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MR Image Analytics to Characte ...... tructive Sleep Apnea Syndrome.

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label

MR Image Analytics to Characte ...... tructive Sleep Apnea Syndrome.

@ast

MR Image Analytics to Characte ...... tructive Sleep Apnea Syndrome.

@en

prefLabel

MR Image Analytics to Characte ...... tructive Sleep Apnea Syndrome.

@ast

MR Image Analytics to Characte ...... tructive Sleep Apnea Syndrome.

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P1476

MR Image Analytics to Characte ...... tructive Sleep Apnea Syndrome.

@en

P2093

Drew A Torigian

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E Paul Wileyto

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Jayaram K Udupa

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Raanan Arens

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Sanghun Sin

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Yubing Tong

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Zhengbing Liu

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P2860

Physiological effects of obstructive sleep apnea syndrome in childhood

CAVASS: a computer-assisted visualization and analysis software system

Prevalence of childhood and adult obesity in the United States, 2011-2012

Pediatric sleep-related breathing disorders: advances in imaging and computational modeling

Upper airway structure and body fat composition in obese children with obstructive sleep apnea syndrome.

Objective sizing of upper airway stenosis: a quantitative endoscopic approach.

Upper airway fat tissue distribution in subjects with obstructive sleep apnea and its effect on retropalatal mechanical loads.

Risk factors of obstructive sleep apnea syndrome in obese early adolescents: a prediction model using scoring system.

A texture analysis method for MR images of airway dilator muscles: a feasibility study

Upper airway lymphoid tissue size in children with sickle cell disease

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e0159327

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scholarly article

P356

10.1371/JOURNAL.PONE.0159327

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English

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P478

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P577

2016-08-03T00:00:00Z

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27487240

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P921

Adipositas

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4972248

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