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A method to detect landmark pairs accurately between intra‐patient volumetric medical images

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(sici)1097-0193(200004)9:4<212::aid-hbm3>3.0.co;2-#openalex-snapshot
Image registration using a symmetric prior—in three dimensions
inferredcites →https://doi.org/10.1007/11505730_41openalex-snapshot
Inverse Consistent Mapping in 3D Deformable Image Registration: Its Construction and Statistical Properties
inferredcites →https://doi.org/10.1007/978-3-642-03474-9_236openalex-snapshot
DIRART – A Software Suite for Deformable Image Registration and Adaptive Radiotherapy Research
inferredcites →https://doi.org/10.1007/978-3-642-22092-0_56openalex-snapshot
Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration
inferredcites →https://doi.org/10.1007/s10851-012-0378-3openalex-snapshot
Scale Selection Properties of Generalized Scale-Space Interest Point Detectors
inferredcites →https://doi.org/10.1016/0004-3702(81)90024-2openalex-snapshot
Determining optical flow
inferredcites →https://doi.org/10.1016/j.cviu.2007.09.014openalex-snapshot
Speeded-Up Robust Features (SURF)
inferredcites →https://doi.org/10.1016/j.ijrobp.2008.07.001openalex-snapshot
Automatic Segmentation of Whole Breast Using Atlas Approach and Deformable Image Registration
inferredcites →https://doi.org/10.1016/j.ijrobp.2010.04.013openalex-snapshot
Comparison of Planned Versus Actual Dose Delivered for External Beam Accelerated Partial Breast Irradiation Using Cone-Beam CT and Deformable Registration
inferredcites →https://doi.org/10.1016/j.ijrobp.2013.06.1889openalex-snapshot
A Novel Approach for Establishing Benchmark CBCT/CT Deformable Image Registrations in Prostate Cancer Radiation Therapy
inferredcites →https://doi.org/10.1016/j.ijrobp.2014.06.045openalex-snapshot
Deformable Image Registration for Adaptive Radiation Therapy of Head and Neck Cancer: Accuracy and Precision in the Presence of Tumor Changes
inferredcites →https://doi.org/10.1016/j.media.2010.07.005openalex-snapshot
Semi-automatic construction of reference standards for evaluation of image registration
inferredcites →https://doi.org/10.1016/j.neuroimage.2008.12.037openalex-snapshot
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
inferredcites →https://doi.org/10.1016/j.prro.2012.11.002openalex-snapshot
Prospective assessment of an atlas-based intervention combined with real-time software feedback in contouring lymph node levels and organs-at-risk in the head and neck: Quantitative assessment of conformance to expert delineation
inferredcites →https://doi.org/10.1016/j.radonc.2010.03.007openalex-snapshot
Assessment by a deformable registration method of the volumetric and positional changes of target volumes and organs at risk in pharyngo-laryngeal tumors treated with concomitant chemo-radiation
inferredcites →https://doi.org/10.1016/j.radonc.2010.11.017openalex-snapshot
Does atlas-based autosegmentation of neck levels require subsequent manual contour editing to avoid risk of severe target underdosage? A dosimetric analysis
inferredcites →https://doi.org/10.1016/j.semradonc.2009.11.002openalex-snapshot
Adaptive Radiotherapy of Head and Neck Cancer
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1088/0031-9155/42/1/008openalex-snapshot
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inferredcites →https://doi.org/10.1088/0031-9155/51/10/009openalex-snapshot
Automatic online adaptive radiation therapy techniques for targets with significant shape change: a feasibility study
inferredcites →https://doi.org/10.1088/0031-9155/53/21/017openalex-snapshot
A fast inverse consistent deformable image registration method based on symmetric optical flow computation
inferredcites →https://doi.org/10.1088/0031-9155/54/18/014openalex-snapshot
The utilization of consistency metrics for error analysis in deformable image registration
inferredcites →https://doi.org/10.1088/0031-9155/54/7/001openalex-snapshot
A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets
inferredcites →https://doi.org/10.1088/0031-9155/56/3/015openalex-snapshot
An automatic contour propagation method to follow parotid gland deformation during head-and-neck cancer tomotherapy
inferredcites →https://doi.org/10.1088/0031-9155/58/18/6481openalex-snapshot
Voxel-based statistical analysis of uncertainties associated with deformable image registration
inferredcites →https://doi.org/10.1088/0031-9155/58/2/231openalex-snapshot
High-quality four-dimensional cone-beam CT by deforming prior images
inferredcites →https://doi.org/10.1088/0031-9155/58/2/287openalex-snapshot
Scale invariant feature transform in adaptive radiation therapy: a tool for deformable image registration assessment and re-planning indication
inferredcites →https://doi.org/10.1088/0031-9155/58/9/2861openalex-snapshot
A reference dataset for deformable image registration spatial accuracy evaluation using the COPDgene study archive
inferredcites →https://doi.org/10.1088/0031-9155/61/20/7236openalex-snapshot
Automatic landmark generation for deformable image registration evaluation for 4D CT images of lung
inferredcites →https://doi.org/10.1109/iccv.1998.710815openalex-snapshot
Bilateral filtering for gray and color images
inferredcites →https://doi.org/10.1109/iccv.2011.6126542openalex-snapshot
BRISK: Binary Robust invariant scalable keypoints
inferredcites →https://doi.org/10.1109/isbi.2007.356953openalex-snapshot
N-SIFT: N-DIMENSIONAL SCALE INVARIANT FEATURE TRANSFORM FOR MATCHING MEDICAL IMAGES
inferredcites →https://doi.org/10.1109/tcom.1983.1095851openalex-snapshot
The Laplacian Pyramid as a Compact Image Code
inferredcites →https://doi.org/10.1109/tip.2015.2456498openalex-snapshot
An Ensemble Approach to Image Matching Using Contextual Features
inferredcites →https://doi.org/10.1109/tmi.2013.2265603openalex-snapshot
Deformable Medical Image Registration: A Survey
inferredcites →https://doi.org/10.1118/1.2977828openalex-snapshot
4D‐CT motion estimation using deformable image registration and 5D respiratory motion modeling
inferredcites →https://doi.org/10.1118/1.3223631openalex-snapshot
Demons deformable registration for CBCT‐guided procedures in the head and neck: Convergence and accuracy
inferredcites →https://doi.org/10.1118/1.3302141openalex-snapshot
Analysis of deformable image registration accuracy using computational modeling
inferredcites →https://doi.org/10.1118/1.3515461openalex-snapshot
4D dose‐position verification in radiation therapy using the RADPOS system in a deformable lung phantom
inferredcites →https://doi.org/10.1118/1.3521468openalex-snapshot
Technical Note: DIRART – A software suite for deformable image registration and adaptive radiotherapy research
inferredcites →https://doi.org/10.1118/1.3676185openalex-snapshot
A novel technique to enable experimental validation of deformable dose accumulation
inferredcites →https://doi.org/10.1118/1.4736534openalex-snapshot
Is it sensible to “deform” dose? 3D experimental validation of dose‐warping
inferredcites →https://doi.org/10.1118/1.4760990openalex-snapshot
Validation of deformable registration in head and neck cancer using analysis of variance
inferredcites →https://doi.org/10.1118/1.4793723openalex-snapshot
Site‐specific deformable imaging registration algorithm selection using patient‐based simulated deformations
inferredcites →https://doi.org/10.1118/1.4819945openalex-snapshot
Performance of 12 DIR algorithms in low‐contrast regions for mass and density conserving deformation
inferredcites →https://doi.org/10.1118/1.4823467openalex-snapshot
A virtual phantom library for the quantification of deformable image registration uncertainties in patients with cancers of the head and neck
inferredcites →https://doi.org/10.1118/1.4871620openalex-snapshot
Vision 20/20: Perspectives on automated image segmentation for radiotherapy
inferredcites →https://doi.org/10.1118/1.4918581openalex-snapshot
An externally and internally deformable, programmable lung motion phantom
inferredcites →https://doi.org/10.1118/1.4938096openalex-snapshot
SIFT-based dense pixel tracking on 0.35 T cine-MR images acquired during image-guided radiation therapy with application to gating optimization
inferredcites →https://doi.org/10.1120/jacmp.v11i3.3175openalex-snapshot
Assessment of a commercially available automatic deformable registration system
inferredcites →https://doi.org/10.1120/jacmp.v13i5.3829openalex-snapshot
A measure to evaluate deformable registration fields in clinical settings
inferredcites →https://doi.org/10.1120/jacmp.v14i1.3834openalex-snapshot
Validation of three deformable image registration algorithms for the thorax
inferredcites →https://doi.org/10.1120/jacmp.v14i1.4066openalex-snapshot
A framework for deformable image registration validation in radiotherapy clinical applications
inferredcites →https://doi.org/10.1120/jacmp.v14i6.4363openalex-snapshot
Using patient‐specific phantoms to evaluate deformable image registration algorithms for adaptive radiation therapy
inferredcites →https://doi.org/10.1120/jacmp.v15i1.4564openalex-snapshot
Accuracy quantification of a deformable image registration tool applied in a clinical setting
inferredcites →https://doi.org/10.1145/358669.358692openalex-snapshot
Random sample consensus
inferredcites →https://doi.org/10.1186/1748-717x-6-83openalex-snapshot
A 4D IMRT planning method using deformable image registration to improve normal tissue sparing with contemporary delivery techniques
inferredcites →https://doi.org/10.1186/s13014-015-0372-1openalex-snapshot
Validation of Varian’s SmartAdapt® deformable image registration algorithm for clinical application
inferredcites →https://doi.org/10.1259/bjr/25329214openalex-snapshot
Non-rigid image registration: theory and practice
inferredcites →https://doi.org/10.3109/0284186x.2010.503662openalex-snapshot
Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration
inferredcites →https://doi.org/10.5201/ipol.2014.82openalex-snapshot
Anatomy of the SIFT Method

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/mp.12734openalex-snapshot
An adaptive motion regularization technique to support sliding motion in deformable image registration
inferred← citeshttps://doi.org/10.1002/mp.13162openalex-snapshot
“Patient‐specific validation of deformable image registration in radiation therapy: Overview and caveats”
inferred← citeshttps://doi.org/10.1002/mp.13726openalex-snapshot
Automatic large quantity landmark pairs detection in 4DCT lung images
inferred← citeshttps://doi.org/10.1002/mp.15163openalex-snapshot
Detection of vessel bifurcations in CT scans for automatic objective assessment of deformable image registration accuracy
inferred← citeshttps://doi.org/10.1002/mp.17026openalex-snapshot
A comprehensive lung CT landmark pair dataset for evaluating deformable image registration algorithms
inferred← citeshttps://doi.org/10.1002/mp.17507openalex-snapshot
A vessel bifurcation liver CT landmark pair dataset for evaluating deformable image registration algorithms
inferred← citeshttps://doi.org/10.1002/mp.17907openalex-snapshot
A vessel bifurcation landmark pair dataset for abdominal CT deformable image registration (DIR) validation
inferred← citeshttps://doi.org/10.1016/j.ejmp.2022.09.010openalex-snapshot
A novel edge gradient distance metric for automated evaluation of deformable image registration quality
inferred← citeshttps://doi.org/10.1016/j.semradonc.2019.02.008openalex-snapshot
Head and Neck Cancer Adaptive Radiation Therapy (ART): Conceptual Considerations for the Informed Clinician
inferred← citeshttps://doi.org/10.1088/1361-6560/ab2202openalex-snapshot
Integrating computer vision and non-linear optimization for automated deformable registration of 3D medical images
inferred← citeshttps://doi.org/10.1111/1754-9485.13486openalex-snapshot
Identifying the location of locoregional recurrences after definitive radiotherapy for head and neck cancer using metabolic parameters of baseline and mid‐treatment 18F‐FDG‐PET scans
inferred← citeshttps://doi.org/10.1117/1.jmi.10.1.014007openalex-snapshot
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration
inferred← citeshttps://doi.org/10.1117/12.2549302openalex-snapshot
An end-to-end deep learning approach for landmark detection and matching in medical images
inferred← citeshttps://doi.org/10.1145/3644116.3644126openalex-snapshot
GLFSU-Net: Global and Local Features Fusion Using Separable U-Net to Improve Anatomical Landmark Detection in 2D X-Ray Radiography ImagesGLFSU-Net: Improving Anatomical Landmark Detection in 2D X-Ray Radiography Images
inferred← citeshttps://doi.org/10.14569/ijacsa.2019.0100839openalex-snapshot
Video Analysis with Faces using Harris Detector and Correlation
inferred← citeshttps://doi.org/10.3390/app9163437openalex-snapshot
Generating a Cylindrical Panorama from a Forward-Looking Borehole Video for Borehole Condition Analysis
inferred← citeshttps://doi.org/10.3938/jkps.74.822openalex-snapshot
Markerless Tumor Motion Tracking in Cine Images from Megavoltage Electronic Portal Imaging Device
inferred← citeshttps://doi.org/10.48550/arxiv.2109.02722openalex-snapshot
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration
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