SIFT-based dense pixel tracking on 0.35 T cine-MR images acquired during image-guided radiation therapy with application to gating optimization.

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A method to detect landmark pairs accurately between intra-patient volumetric medical images.Initial observations of intra- and inter- fractional motion variation in MR guided lung SBRT.Tumour auto-contouring on 2d cine MRI for locally advanced lung cancer: A comparative study.

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P2860

SIFT-based dense pixel tracking on 0.35 T cine-MR images acquired during image-guided radiation therapy with application to gating optimization.

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http://www.wikidata.org/entity/Q40128457

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2016 nî lūn-bûn

@nan

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

@wuu

2016年论文

@zh

2016年论文

@zh-cn

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SIFT-based dense pixel trackin ...... cation to gating optimization.

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SIFT-based dense pixel trackin ...... cation to gating optimization.

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SIFT-based dense pixel trackin ...... cation to gating optimization.

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P1476

SIFT-based dense pixel trackin ...... cation to gating optimization.

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P2093

Benjamin W Fischer-Valuck

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

Deshan Yang

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H Harold Li

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Sasa Mutic

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Thomas R Mazur

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Yuhe Wang

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P2860

Localizing region-based active contours

Evaluation of the reproducibility of lung motion probability distribution function (PDF) using dynamic MRI.

Evaluation of template matching for tumor motion management with cine-MR images in lung cancer patients.

Patient-specific quality assurance for the delivery of (60)Co intensity modulated radiation therapy subject to a 0.35-T lateral magnetic field

A knowledge-based approach for carpal tunnel segmentation from magnetic resonance images.

Accurate accumulation of dose for improved understanding of radiation effects in normal tissue.

Planning 4-dimensional computed tomography (4DCT) cannot adequately represent daily intrafractional motion of abdominal tumors.

Evaluation of potential internal target volume of liver tumors using cine-MRI.

A multi-region algorithm for markerless beam's-eye view lung tumor tracking.

SIFT flow: dense correspondence across scenes and its applications.

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279

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scholarly article

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10.1118/1.4938096

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English

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

P478

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

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2016-01-01T00:00:00Z

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P698

26745921

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SIFT-based dense pixel tracking on 0.35 T cine-MR images acquired during image-guided radiation therapy with application to gating optimization.

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P2860

P2860

SIFT-based dense pixel tracking on 0.35 T cine-MR images acquired during image-guided radiation therapy with application to gating optimization.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P698

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P698