On the public citation graph

Simultaneous motion estimation and image reconstruction (SMEIR) for 4D cone‐beam CT

https://doi.org/10.1118/1.4821099
0 signed · 148 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/mrm.21391openalex-snapshot
Sparse MRI: The application of compressed sensing for rapid MR imaging
inferredcites →https://doi.org/10.1016/j.acra.2012.07.006openalex-snapshot
Reproducibility of Four-dimensional Computed Tomography-based Lung Ventilation Imaging
inferredcites →https://doi.org/10.1016/j.ijrobp.2006.11.055openalex-snapshot
Observation of Interfractional Variations in Lung Tumor Position Using Respiratory Gated and Ungated Megavoltage Cone-Beam Computed Tomography
inferredcites →https://doi.org/10.1016/s0360-3016(02)02884-5openalex-snapshot
Flat-panel cone-beam computed tomography for image-guided radiation therapy
inferredcites →https://doi.org/10.1016/s1361-8415(98)80022-4openalex-snapshot
Image matching as a diffusion process: an analogy with Maxwell's demons
inferredcites →https://doi.org/10.1088/0031-9155/49/10/015openalex-snapshot
Acquiring 4D thoracic CT scans using a multislice helical method
inferredcites →https://doi.org/10.1088/0031-9155/49/14/003openalex-snapshot
Fast free-form deformable registration via calculus of variations
inferredcites →https://doi.org/10.1088/0031-9155/50/22/004openalex-snapshot
Respiratory correlated cone-beam computed tomography on an isocentric C-arm
inferredcites →https://doi.org/10.1088/0031-9155/51/15/012openalex-snapshot
A motion-incorporated reconstruction method for gated PET studies
inferredcites →https://doi.org/10.1088/0031-9155/53/11/011openalex-snapshot
Inference of hysteretic respiratory tumor motion from external surrogates: a state augmentation approach
inferredcites →https://doi.org/10.1088/0031-9155/53/20/006openalex-snapshot
High temporal resolution and streak-free four-dimensional cone-beam computed tomography
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/10.1088/0031-9155/54/15/009openalex-snapshot
Real-time profiling of respiratory motion: baseline drift, frequency variation and fundamental pattern change
inferredcites →https://doi.org/10.1088/0031-9155/55/1/012openalex-snapshot
Implementation and evaluation of various demons deformable image registration algorithms on a GPU
inferredcites →https://doi.org/10.1088/0031-9155/56/20/013openalex-snapshot
Performance studies of four-dimensional cone beam computed tomography
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/10.1109/42.896783openalex-snapshot
Penalized weighted least-squares image reconstruction for dual energy X-ray transmission tomography
inferredcites →https://doi.org/10.1109/nssmic.2001.1009637openalex-snapshot
2001 IEEE Nuclear Science Symposium Conference Record
inferredcites →https://doi.org/10.1109/tmi.2006.882141openalex-snapshot
Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography
inferredcites →https://doi.org/10.1109/tmi.2010.2053212openalex-snapshot
Joint Reconstruction of Image and Motion in Gated Positron Emission Tomography
inferredcites →https://doi.org/10.1109/tns.2002.803820openalex-snapshot
Simultaneous reconstruction and motion estimation for gated cardiac ECT
inferredcites →https://doi.org/10.1118/1.1869074openalex-snapshot
Respiratory correlated cone beam CT
inferredcites →https://doi.org/10.1118/1.2192581openalex-snapshot
Model‐based image reconstruction for four‐dimensional PET
inferredcites →https://doi.org/10.1118/1.2349692openalex-snapshot
Four‐dimensional cone‐beam computed tomography using an on‐board imager
inferredcites →https://doi.org/10.1118/1.2767144openalex-snapshot
Enhanced 4D cone‐beam CT with inter‐phase motion model
inferredcites →https://doi.org/10.1118/1.2767145openalex-snapshot
Four‐dimensional cone beam CT with adaptive gantry rotation and adaptive data sampling
inferredcites →https://doi.org/10.1118/1.2795830openalex-snapshot
Sparseness prior based iterative image reconstruction for retrospectively gated cardiac micro‐CT
inferredcites →https://doi.org/10.1118/1.2836423openalex-snapshot
Prior image constrained compressed sensing (PICCS): A method to accurately reconstruct dynamic CT images from highly undersampled projection data sets
inferredcites →https://doi.org/10.1118/1.3115691openalex-snapshot
On‐the‐fly motion‐compensated cone‐beam CT using an a priori model of the respiratory motion
inferredcites →https://doi.org/10.1118/1.3232211openalex-snapshot
Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image‐reconstruction algorithms
inferredcites →https://doi.org/10.1118/1.3260919openalex-snapshot
Autoadaptive phase‐correlated (AAPC) reconstruction for 4D CBCT
inferredcites →https://doi.org/10.1118/1.3397460openalex-snapshot
Correction of motion artifacts in cone‐beam CT using a patient‐specific respiratory motion model
inferredcites →https://doi.org/10.1118/1.3426002openalex-snapshot
Real‐time volumetric image reconstruction and 3D tumor localization based on a single x‐ray projection image for lung cancer radiotherapy
inferredcites →https://doi.org/10.1118/1.3480986openalex-snapshot
An investigation of 4D cone‐beam CT algorithms for slowly rotating scanners
inferredcites →https://doi.org/10.1118/1.3662895openalex-snapshot
4D Cone‐beam CT reconstruction using a motion model based on principal component analysis
inferredcites →https://doi.org/10.1118/1.3691901openalex-snapshot
Scatter correction in cone‐beam CT via a half beam blocker technique allowing simultaneous acquisition of scatter and image information
inferredcites →https://doi.org/10.1118/1.4729837openalex-snapshot
Accelerated barrier optimization compressed sensing (ABOCS) reconstruction for cone-beam CT: Phantom studies
inferredcites →https://doi.org/10.1118/1.595715openalex-snapshot
Fast calculation of the exact radiological path for a three‐dimensional CT array
inferredcites →https://doi.org/10.1177/016173468400600107openalex-snapshot
Simultaneous Algebraic Reconstruction Technique (SART): A Superior Implementation of the Art Algorithm
inferredcites →https://doi.org/10.1364/josaa.1.000612openalex-snapshot
Practical cone-beam algorithm

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4661696openalex-extracted
4D-Precise: Learning-Based 3D Motion Estimation and High Temporal Resolution 4DCT Reconstruction from In-Treatment 2D t X-Ray Projections
inferred← citeshttps://doi.org/10.1002/mp.12259openalex-snapshot
A new CT reconstruction technique using adaptive deformation recovery and intensity correction (ADRIC)
inferred← citeshttps://doi.org/10.1002/mp.12671openalex-snapshot
Principal component reconstruction ( PCR ) for cine CBCT with motion learning from 2D fluoroscopy
inferred← citeshttps://doi.org/10.1002/mp.13133openalex-snapshot
Data‐driven respiratory motion compensation for four‐dimensional cone‐beam computed tomography (4D‐ CBCT ) using groupwise deformable registration
inferred← citeshttps://doi.org/10.1002/mp.13169openalex-snapshot
Multienergy element‐resolved cone beam CT ( MEER ‐ CBCT ) realized on a conventional CBCT platform
inferred← citeshttps://doi.org/10.1002/mp.13595openalex-snapshot
Reconstruction of a high‐quality volumetric image and a respiratory motion model from patient CBCT projections
inferred← citeshttps://doi.org/10.1002/mp.13687openalex-snapshot
SPARE: Sparse‐view reconstruction challenge for 4D cone‐beam CT from a 1‐min scan
inferred← citeshttps://doi.org/10.1002/mp.13706openalex-snapshot
Dosimetric evaluation of 4D‐CBCT reconstructed by Simultaneous Motion Estimation and Image Reconstruction (SMEIR) for carbon ion therapy of lung cancer
inferred← citeshttps://doi.org/10.1002/mp.13807openalex-snapshot
Simultaneous respiratory motion correction and image reconstruction in 4D‐multi pinhole small animal SPECT
inferred← citeshttps://doi.org/10.1002/mp.14060openalex-snapshot
High‐quality initial image‐guided 4D CBCT reconstruction
inferred← citeshttps://doi.org/10.1002/mp.14150openalex-snapshot
U‐net‐based deformation vector field estimation for motion‐compensated 4D‐CBCT reconstruction
inferred← citeshttps://doi.org/10.1002/mp.14312openalex-snapshot
A modern review of the uncertainties in volumetric imaging of respiratory‐induced target motion in lung radiotherapy
inferred← citeshttps://doi.org/10.1002/mp.14765openalex-snapshot
Adjoint image warping using multivariate splines with application to four‐dimensional computed tomography
inferred← citeshttps://doi.org/10.1002/mp.14811openalex-snapshot
Adaptive CaRdiac cOne BEAm computed Tomography (ACROBEAT): Developing the next generation of cardiac cone beam CT imaging
inferred← citeshttps://doi.org/10.1002/mp.15009openalex-snapshot
Spatiotemporal structure‐aware dictionary learning‐based 4D CBCT reconstruction
inferred← citeshttps://doi.org/10.1002/mp.15275openalex-snapshot
Automatic liver tumor localization using deep learning‐based liver boundary motion estimation and biomechanical modeling (DL‐Bio)
inferred← citeshttps://doi.org/10.1002/mp.15806openalex-snapshot
Fast four‐dimensional cone‐beam computed tomography reconstruction using deformable convolutional networks
inferred← citeshttps://doi.org/10.1002/mp.15877openalex-snapshot
Effect of subject motion and gantry rotation speed on image quality and dose delivery in CT‐guided radiotherapy
inferred← citeshttps://doi.org/10.1002/mp.16103openalex-snapshot
Deep learning‐based motion compensation for four‐dimensional cone‐beam computed tomography (4D‐CBCT) reconstruction
inferred← citeshttps://doi.org/10.1002/mp.16585openalex-snapshot
Faster and lower dose imaging: evaluating adaptive, constant gantry velocity and angular separation in fast low‐dose 4D cone beam CT imaging
inferred← citeshttps://doi.org/10.1002/mp.17269openalex-snapshot
A review on 4D cone‐beam CT (4D‐CBCT) in radiation therapy: Technical advances and clinical applications
inferred← citeshttps://doi.org/10.1002/mp.17304openalex-snapshot
Stability analysis of patient‐specific 4DCT‐ and 4DCBCT‐based correspondence models
inferred← citeshttps://doi.org/10.1002/mp.17762openalex-snapshot
An unsupervised approach for projection binning to reduce motion artifacts in free‐breathing animal models
inferred← citeshttps://doi.org/10.1002/mp.17911openalex-snapshot
Deep learning‐based cone‐beam CT motion compensation with single‐view temporal resolution
inferred← citeshttps://doi.org/10.1002/mp.70119openalex-snapshot
Prior‐adapted progressive time‐resolved CBCT reconstruction using a dynamic reconstruction and motion estimation method
inferred← citeshttps://doi.org/10.1007/s10462-025-11109-wopenalex-snapshot
Artificial intelligence in four-dimensional imaging for motion management in radiation therapy
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.107197openalex-snapshot
WUTrans: Whole-spectrum unilateral-query-secured transformer for 4D CBCT reconstruction
inferred← citeshttps://doi.org/10.1016/j.cmpb.2024.108158openalex-snapshot
4D-Precise: Learning-based 3D motion estimation and high temporal resolution 4DCT reconstruction from treatment 2D+t X-ray projections
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108145openalex-snapshot
PNMC: Four-dimensional conebeam CT reconstruction combining prior network and motion compensation
inferred← citeshttps://doi.org/10.1016/j.ijrobp.2014.10.029openalex-snapshot
A Pilot Evaluation of a 4-Dimensional Cone-Beam Computed Tomographic Scheme Based on Simultaneous Motion Estimation and Image Reconstruction
inferred← citeshttps://doi.org/10.1016/j.phro.2018.02.004openalex-snapshot
Fast 4D cone-beam CT from 60 s acquisitions
inferred← citeshttps://doi.org/10.1016/j.radonc.2018.10.040openalex-snapshot
4D liver tumor localization using cone-beam projections and a biomechanical model
inferred← citeshttps://doi.org/10.1016/j.zemedi.2020.09.004openalex-snapshot
Anthropomorphic lung phantom based validation of in-room proton therapy 4D-CBCT image correction for dose calculation
inferred← citeshttps://doi.org/10.1038/s44172-025-00391-9openalex-snapshot
Real-time spatiotemporal optimization during imaging
inferred← citeshttps://doi.org/10.1080/13645706.2019.1663217openalex-snapshot
Percutaneous insertion of hepatic fiducial true-spherical markers for real-time adaptive radiotherapy
inferred← citeshttps://doi.org/10.1088/0031-9155/61/15/5639openalex-snapshot
Respiratory motion correction in 4D-PET by simultaneous motion estimation and image reconstruction (SMEIR)
inferred← citeshttps://doi.org/10.1088/0031-9155/61/18/6856openalex-snapshot
Motion-aware temporal regularization for improved 4D cone-beam computed tomography
inferred← citeshttps://doi.org/10.1088/0031-9155/61/3/996openalex-snapshot
4D cone-beam CT reconstruction using multi-organ meshes for sliding motion modeling
inferred← citeshttps://doi.org/10.1088/0031-9155/61/6/2372openalex-snapshot
A new scheme for real-time high-contrast imaging in lung cancer radiotherapy: a proof-of-concept study
inferred← citeshttps://doi.org/10.1088/0266-5611/31/11/115007openalex-snapshot
5D respiratory motion model based image reconstruction algorithm for 4D cone-beam computed tomography
inferred← citeshttps://doi.org/10.1088/1361-6560/aa5b6eopenalex-snapshot
Directional sinogram interpolation for motion weighted 4D cone-beam CT reconstruction
inferred← citeshttps://doi.org/10.1088/1361-6560/aa7733openalex-snapshot
Low-dose 4D cone-beam CT via joint spatiotemporal regularization of tensor framelet and nonlocal total variation
inferred← citeshttps://doi.org/10.1088/1361-6560/aaa16dopenalex-snapshot
Motion vector field phase-to-amplitude resampling for 4D motion-compensated cone-beam CT
inferred← citeshttps://doi.org/10.1088/1361-6560/aaa730openalex-snapshot
A biomechanical modeling-guided simultaneous motion estimation and image reconstruction technique (SMEIR-Bio) for 4D-CBCT reconstruction
inferred← citeshttps://doi.org/10.1088/1361-6560/aaac0fopenalex-snapshot
Iterative reconstruction with boundary detection for carbon ion computed tomography
inferred← citeshttps://doi.org/10.1088/1361-6560/aac229openalex-snapshot
4D cone-beam computed tomography (CBCT) using a moving blocker for simultaneous radiation dose reduction and scatter correction
inferred← citeshttps://doi.org/10.1088/1361-6560/aae1bbopenalex-snapshot
Cone-beam CT reconstruction with gravity-induced motion
inferred← citeshttps://doi.org/10.1088/1361-6560/ab065dopenalex-snapshot
Real-time respiratory triggered four dimensional cone-beam CT halves imaging dose compared to conventional 4D CBCT
inferred← citeshttps://doi.org/10.1088/1361-6560/ab07d6openalex-snapshot
McSART: an iterative model-based, motion-compensated SART algorithm for CBCT reconstruction
inferred← citeshttps://doi.org/10.1088/1361-6560/ab98d3openalex-snapshot
Evaluating reconstruction algorithms for respiratory motion guided acquisition
inferred← citeshttps://doi.org/10.1088/1361-6560/ab9f60openalex-snapshot
4D-AirNet: a temporally-resolved CBCT slice reconstruction method synergizing analytical and iterative method with deep learning
inferred← citeshttps://doi.org/10.1088/1361-6560/abc303openalex-snapshot
Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study
inferred← citeshttps://doi.org/10.1088/1361-6560/abe9f6openalex-snapshot
An unsupervised 2D–3D deformable registration network (2D3D-RegNet) for cone-beam CT estimation
inferred← citeshttps://doi.org/10.1088/1361-6560/abebfbopenalex-snapshot
Reducing 4DCBCT scan time and dose through motion compensated acquisition and reconstruction
inferred← citeshttps://doi.org/10.1088/1361-6560/abf9ddopenalex-snapshot
The adaptation and investigation of cone-beam CT reconstruction algorithms for horizontal rotation fixed-gantry scans of rabbits
inferred← citeshttps://doi.org/10.1088/1361-6560/ac093bopenalex-snapshot
Motion estimation and correction in SPECT, PET and CT
inferred← citeshttps://doi.org/10.1088/1361-6560/ac309eopenalex-snapshot
Projection-based dynamic tomography
inferred← citeshttps://doi.org/10.1088/1361-6560/ac55a4openalex-snapshot
Reducing 4DCBCT imaging dose and time: exploring the limits of adaptive acquisition and motion compensated reconstruction
inferred← citeshttps://doi.org/10.1088/1361-6560/acb30dopenalex-snapshot
Dynamic cone-beam CT reconstruction using spatial and temporal implicit neural representation learning (STINR)
inferred← citeshttps://doi.org/10.1088/1361-6560/acdf38openalex-snapshot
Motion-compensated scheme for sequential scanned statistical iterative dual-energy CT reconstruction
inferred← citeshttps://doi.org/10.1088/1361-6560/ad1546openalex-snapshot
Surrogate-driven respiratory motion model for projection-resolved motion estimation and motion compensated cone-beam CT reconstruction from unsorted projection data
inferred← citeshttps://doi.org/10.1088/1361-6560/ad311bopenalex-snapshot
Motion compensated cone-beam CT reconstruction using an a priori motion model from CT simulation: a pilot study
inferred← citeshttps://doi.org/10.1088/1361-6560/ad46dcopenalex-snapshot
Dynamic CBCT imaging using prior model-free spatiotemporal implicit neural representation (PMF-STINR)
inferred← citeshttps://doi.org/10.1088/1361-6560/ad780aopenalex-snapshot
Data-driven rapid 4D cone-beam CT reconstruction for new generation linacs
inferred← citeshttps://doi.org/10.1088/1361-6560/adcafbopenalex-snapshot
An end-to-end neural network for 4D cardiac CT reconstruction using single-beat scans
inferred← citeshttps://doi.org/10.1088/1361-6560/ae639copenalex-snapshot
Nonperiodic dynamic CT reconstruction using backward-warping implicit neural representation with diffeomorphism regularization *
inferred← citeshttps://doi.org/10.1088/2057-1976/ac12a4openalex-snapshot
General simultaneous motion estimation and image reconstruction (G-SMEIR)
inferred← citeshttps://doi.org/10.1088/2057-1976/ac9da7openalex-snapshot
Texture transformer super-resolution for low-dose computed tomography
inferred← citeshttps://doi.org/10.1088/2057-1976/ad6773openalex-snapshot
Dynamic reconstruction for digital tomosynthesis: a phantom proof of concept for breast care
inferred← citeshttps://doi.org/10.1088/2057-1976/ad97c1openalex-snapshot
Fast motion-compensated reconstruction for 4D-CBCT using deep learning-based groupwise registration
inferred← citeshttps://doi.org/10.1109/access.2021.3110861openalex-snapshot
Joint Motion Estimation and Compensation for Four-Dimensional Cone-Beam Computed Tomography Image Reconstruction
inferred← citeshttps://doi.org/10.1109/access.2025.3571989openalex-snapshot
O-Arm Imaging With Real-Time Control for Organ Motion Tracking: A Feasibility Study
inferred← citeshttps://doi.org/10.1109/cisp-bmei51763.2020.9263653openalex-snapshot
Motion Estimation and Spatiotemporal Tensor Enhanced Representation for 4D-CBCT Image Reconstruction
inferred← citeshttps://doi.org/10.1109/iccvw54120.2021.00448openalex-snapshot
Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography
inferred← citeshttps://doi.org/10.1109/isbi.2018.8363588openalex-snapshot
Modified simultaneous motion estimation and image reconstruction (m-SMEIR) for 4D-CBCT
inferred← citeshttps://doi.org/10.1109/isbi53787.2023.10230761openalex-snapshot
Surrogate-Driven Motion Model for Motion Compensated Cone-beam CT Reconstruction using Unsorted Projection Data
inferred← citeshttps://doi.org/10.1109/jbhi.2022.3201232openalex-snapshot
PRIOR: Prior-Regularized Iterative Optimization Reconstruction For 4D CBCT
inferred← citeshttps://doi.org/10.1109/nss/mic42101.2019.9059929openalex-snapshot
4D Reconstruction with Projection and Image Domain Motion Estimation
inferred← citeshttps://doi.org/10.1109/nssmic.2017.8532916openalex-snapshot
Simultaneous Dose Reduction and Scatter Correction for 4D Cone-Beam Computed Tomography
inferred← citeshttps://doi.org/10.1109/tbme.2025.3562610openalex-snapshot
Empirical Motion-Artifact Reduction for Non-Rigid Motion in Dedicated Breast CT
inferred← citeshttps://doi.org/10.1109/tci.2026.3697644openalex-snapshot
Dynamic Neural Attenuation Fields (D-NAF): A Self-Supervised Framework for 4D CBCT Reconstruction
inferred← citeshttps://doi.org/10.1109/tmi.2016.2623745openalex-snapshot
A Biomechanical Modeling Guided CBCT Estimation Technique
inferred← citeshttps://doi.org/10.1109/tmi.2019.2912791openalex-snapshot
Augmentation of CBCT Reconstructed From Under-Sampled Projections Using Deep Learning
inferred← citeshttps://doi.org/10.1109/tmi.2021.3081824openalex-snapshot
CycN-Net: A Convolutional Neural Network Specialized for 4D CBCT Images Refinement
inferred← citeshttps://doi.org/10.1109/tmi.2022.3231461openalex-snapshot
Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning
inferred← citeshttps://doi.org/10.1109/tmi.2024.3483451openalex-snapshot
DPI-MoCo: Deep Prior Image Constrained Motion Compensation Reconstruction for 4D CBCT
inferred← citeshttps://doi.org/10.1109/tmi.2026.3656348openalex-snapshot
aDiner: Adaptive Dynamic Implicit Neural Representation for Dynamic CBCT Imaging
inferred← citeshttps://doi.org/10.1109/trpms.2018.2814342openalex-snapshot
Quantitative 4D-PET Reconstruction for Small Animal Using SMEIR-Reconstructed 4D-CBCT
inferred← citeshttps://doi.org/10.1109/trpms.2021.3133510openalex-snapshot
Enhancement of 4-D Cone-Beam Computed Tomography (4D-CBCT) Using a Dual-Encoder Convolutional Neural Network (DeCNN)
inferred← citeshttps://doi.org/10.1109/trpms.2024.3449155openalex-snapshot
4-D Cone-Beam CT Reconstruction via Diffusion Model and Motion Compensation
inferred← citeshttps://doi.org/10.1117/12.2294922openalex-snapshot
Motion-compensated reconstruction for limited-angle multiphase cardiac CT
inferred← citeshttps://doi.org/10.1117/12.2513128openalex-snapshot
Artifacts reduction method for phase-resolved Cone-Beam CT (CBCT) images via a prior-guided CNN
inferred← citeshttps://doi.org/10.1118/1.4896818openalex-snapshot
Real‐time out‐of‐plane artifact subtraction tomosynthesis imaging using prior CT for scanning beam digital x‐ray system
inferred← citeshttps://doi.org/10.1118/1.4901265openalex-snapshot
Few‐view cone‐beam CT reconstruction with deformed prior image
inferred← citeshttps://doi.org/10.1118/1.4926559openalex-snapshot
Dosimetric verification of lung cancer treatment using the CBCTs estimated from limited‐angle on‐board projections
inferred← citeshttps://doi.org/10.1118/1.4944866openalex-snapshot
Cerebral perfusion computed tomography deconvolution via structure tensor total variation regularization
inferred← citeshttps://doi.org/10.1118/1.4959998openalex-snapshot
Simultaneous 4D‐CBCT reconstruction with sliding motion constraint
inferred← citeshttps://doi.org/10.1186/s13014-024-02411-yopenalex-snapshot
A 4D-CBCT correction network based on contrastive learning for dose calculation in lung cancer
inferred← citeshttps://doi.org/10.1186/s42492-019-0033-6openalex-snapshot
Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning
inferred← citeshttps://doi.org/10.1201/9781315143873-20openalex-snapshot
Advances in verification and delivery techniques
inferred← citeshttps://doi.org/10.1364/optica.531646openalex-snapshot
Space-time Fourier ptychography for in vivo quantitative phase imaging
inferred← citeshttps://doi.org/10.21037/qims.2019.07.04openalex-snapshot
Enhancing liver tumor localization accuracy by prior-knowledge-guided motion modeling and a biomechanical model
inferred← citeshttps://doi.org/10.3233/xst-140466openalex-snapshot
Deformation vector fields (DVF)-driven image reconstruction for 4D-CBCT
inferred← citeshttps://doi.org/10.3233/xst-17289openalex-snapshot
A fast 4D cone beam CT reconstruction method based on the OSC-TV algorithm
inferred← citeshttps://doi.org/10.3389/fonc.2020.568627openalex-snapshot
Fully Automatic Sliding Motion Compensated and Simultaneous 4D-CBCT via Bilateral Filtering
inferred← citeshttps://doi.org/10.3389/fonc.2022.827136openalex-snapshot
Simultaneous Image Reconstruction and Element Decomposition for Iodine Contrast Agent Visualization in Multienergy Element-Resolved Cone Beam CT
inferred← citeshttps://doi.org/10.3390/cancers18111715openalex-snapshot
Artificial Intelligence in Image Assisted Radiation Oncology
inferred← citeshttps://doi.org/10.70675/688392a7z9fd0z4906z89bbz5f9e6fd04cf7openalex-snapshot
Reconstruction d’images tomographiques multicanaux en exploitant les structures similaire des images
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.