| P2093 | author name string | Siyong Kim | |
| | Seungjong Oh | |
| P2860 | cites work | Tracking the dose distribution in radiation therapy by accounting for variable anatomy | Q48967926 |
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| | MRI/linac integration. | Q50860124 |
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| | Is it sensible to "deform" dose? 3D experimental validation of dose-warping. | Q51332959 |
| | A novel method to quantify and compare anatomical shape: application in cervix cancer radiotherapy. | Q51589690 |
| | Impact of four-dimensional computed tomography pulmonary ventilation imaging-based functional avoidance for lung cancer radiotherapy. | Q51677913 |
| | Automatic segmentation of phase-correlated CT scans through nonrigid image registration using geometrically regularized free-form deformation. | Q51906514 |
| | Modelling individual geometric variation based on dominant eigenmodes of organ deformation: implementation and evaluation. | Q51958728 |
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| | Medical image registration | Q33940221 |
| | Effect of breathing motion on radiotherapy dose accumulation in the abdomen using deformable registration | Q34441982 |
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| | Reduction of normal lung irradiation in locally advanced non-small-cell lung cancer patients, using ventilation images for functional avoidance | Q36374803 |
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| | Performance evaluation of automatic anatomy segmentation algorithm on repeat or four-dimensional computed tomography images using deformable image registration method | Q36995822 |
| | Deformable medical image registration: a survey | Q37099524 |
| | Evaluation of geometric changes of parotid glands during head and neck cancer radiotherapy using daily MVCT and automatic deformable registration | Q37245311 |
| | Automatic segmentation of whole breast using atlas approach and deformable image registration | Q37311907 |
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| | Results of a multi-institution deformable registration accuracy study (MIDRAS). | Q38433574 |
| | Benchmarking of five commercial deformable image registration algorithms for head and neck patients | Q38905815 |
| | Control over structure-specific flexibility improves anatomical accuracy for point-based deformable registration in bladder cancer radiotherapy. | Q39471660 |
| | Multi-institutional Validation Study of Commercially Available Deformable Image Registration Software for Thoracic Images | Q39542025 |
| | The ANACONDA algorithm for deformable image registration in radiotherapy | Q41618908 |
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| | A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy. | Q42250548 |
| | FEM-based evaluation of deformable image registration for radiation therapy | Q44931285 |
| | A population-based model to describe geometrical uncertainties in radiotherapy: applied to prostate cases | Q45413183 |
| | Quantification of regional ventilation from treatment planning CT. | Q47786349 |
| | Validation of an accelerated 'demons' algorithm for deformable image registration in radiation therapy | Q47787446 |
| | Flat-panel cone-beam computed tomography for image-guided radiation therapy | Q48540443 |
| | Accuracy of finite element model-based multi-organ deformable image registration. | Q48948498 |
| | Implementation and validation of a three-dimensional deformable registration algorithm for targeted prostate cancer radiotherapy | Q48954505 |
| P275 | copyright license | Creative Commons Attribution-NonCommercial 3.0 Unported | Q18810331 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 2 | |
| P921 | main subject | image registration | Q861092 |
| P304 | page(s) | 101-111 | |
| P577 | publication date | 2017-06-30 | |
| P1433 | published in | Radiation oncology journal | Q26853973 |
| P1476 | title | Deformable image registration in radiation therapy. | |
| P478 | volume | 35 | |