On the public citation graph

Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion

https://doi.org/10.1109/cvpr.2018.00664

0 signed · 140 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1016/j.ejmp.2016.05.063openalex-snapshot

Few-view CT reconstruction via a novel non-local means algorithm

inferredcites →https://doi.org/10.1088/0031-9155/57/1/173openalex-snapshot

Few-view image reconstruction with dual dictionaries

inferredcites →https://doi.org/10.1088/0266-5611/29/12/125007openalex-snapshot

Characterization and reduction of artifacts in limited angle tomography

inferredcites →https://doi.org/10.1088/2057-1976/aa71bfopenalex-snapshot

Restoration of missing data in limited angle tomography based on Helgason–Ludwig consistency conditions

inferredcites →https://doi.org/10.1109/83.382498openalex-snapshot

Optimal scan for time-varying tomography. I. Theoretical analysis and fundamental limitations

inferredcites →https://doi.org/10.1109/83.491321openalex-snapshot

A unified approach to statistical tomography using coordinate descent optimization

inferredcites →https://doi.org/10.1109/cvpr.2016.278openalex-snapshot

Context Encoders: Feature Learning by Inpainting

inferredcites →https://doi.org/10.1109/cvpr.2016.55openalex-snapshot

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/iccv.2015.199openalex-snapshot

A Randomized Ensemble Approach to Industrial CT Segmentation

inferredcites →https://doi.org/10.1109/iccv.2017.627openalex-snapshot

One Network to Solve Them All — Solving Linear Inverse Problems Using Deep Projection Models

inferredcites →https://doi.org/10.1109/nssmic.2016.8069593openalex-snapshot

Few-View CT reconstruction method based on deep learning

inferredcites →https://doi.org/10.1109/tci.2015.2431913openalex-snapshot

TIMBIR: A Method for Time-Space Reconstruction From Interlaced Views

inferredcites →https://doi.org/10.1109/tip.2013.2277784openalex-snapshot

A Model Based Iterative Reconstruction Algorithm For High Angle Annular Dark Field-Scanning Transmission Electron Microscope (HAADF-STEM) Tomography

inferredcites →https://doi.org/10.1109/tip.2017.2713099openalex-snapshot

Deep Convolutional Neural Network for Inverse Problems in Imaging

inferredcites →https://doi.org/10.1109/tmi.2018.2823768openalex-snapshot

Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT

inferredcites →https://doi.org/10.1118/1.3366253openalex-snapshot

Fourier properties of the fan-beam sinogram

inferredcites →https://doi.org/10.1137/07068326xopenalex-snapshot

Local Tomography in Electron Microscopy

inferredcites →https://doi.org/10.1137/1.9780898719277openalex-snapshot

Principles of Computerized Tomographic Imaging

inferredcites →https://doi.org/10.1148/radiology.205.2.9356620openalex-snapshot

Digital tomosynthesis in breast imaging.

inferredcites →https://doi.org/10.1155/2013/356291openalex-snapshot

Spatial Resolution Analysis for Few-Views Discrete Tomography Based on MART-AP Algorithm

inferredcites →https://doi.org/10.1364/boe.8.000679openalex-snapshot

aLow-dose CT via convolutional neural network

inferredcites →https://doi.org/10.17863/cam.51996openalex-snapshot

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot

Convolutional Neural Networks for Sentence Classification

inferredcites →https://doi.org/10.3934/ipi.2010.4.257openalex-snapshot

Three-dimensional dental X-ray imaging by combination of panoramic and projection data

inferredcites →https://doi.org/10.48550/arxiv.1603.04467openalex-snapshot

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

inferredcites →https://doi.org/10.48550/arxiv.1607.08707openalex-snapshot

Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network

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.4643014openalex-extracted

FRNAF: Frequency Regularization Neural Attenuation Fields for Sparse-View CBCT Reconstruction

inferred← citeshttps://doi.org/10.1002/adma.202104659openalex-snapshot

Tomoscopy: Time‐Resolved Tomography for Dynamic Processes in Materials

inferred← citeshttps://doi.org/10.1002/mp.15634openalex-snapshot

A simulated comparison of lung tumor target verification using stereoscopic tomosynthesis or radiography

inferred← citeshttps://doi.org/10.1007/978-3-030-03009-4_82-1openalex-snapshot

Deep Learning Methods for Limited Data Problems in X-Ray Tomography

inferred← citeshttps://doi.org/10.1007/978-3-030-20205-7_34openalex-snapshot

Fast Cross Correlation for Limited Angle Tomographic Data

inferred← citeshttps://doi.org/10.1007/978-3-030-98661-2_82openalex-snapshot

Deep Learning Methods for Limited Data Problems in X-Ray Tomography

inferred← citeshttps://doi.org/10.1007/978-3-031-16446-0_42openalex-snapshot

NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-031-43999-5_2openalex-snapshot

Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-032-05325-1_56openalex-snapshot

TransSino: Prior Sinogram Pattern-Based Transformer for Limited-Angle CT Image Segmentation

inferred← citeshttps://doi.org/10.1007/978-3-032-37464-6_13openalex-snapshot

FaCT-GS: Fast and Scalable CT Reconstruction with Gaussian Splatting

inferred← citeshttps://doi.org/10.1007/978-981-96-0901-7_1openalex-snapshot

PARNet: Aortic Reconstruction from Orthogonal X-Rays Using Pre-trained Generative Adversarial Networks

inferred← citeshttps://doi.org/10.1007/s10921-025-01310-wopenalex-snapshot

Compensating Streak Artifacts in Sparse-View Inline Industrial CT for Accurate Metrology using Self-Supervised Optimization of Implicit Neural Volume Representations

inferred← citeshttps://doi.org/10.1016/j.aei.2026.105345openalex-snapshot

Structure-preserving Gaussian Splatting with dual-domain constraints for limited-angle industrial CT

inferred← citeshttps://doi.org/10.1016/j.apm.2019.05.020openalex-snapshot

Image reconstruction model for limited-angle CT based on prior image induced relative total variation

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.109892openalex-snapshot

MSRRA-NAF: Multi-Scale Relative Resolution Attention-Guided X-ray 3D Reconstruction via Neural Attenuation Field

inferred← citeshttps://doi.org/10.1016/j.cirpj.2024.05.004openalex-snapshot

Machine learning in industrial X-ray computed tomography – a review

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.109900openalex-snapshot

Sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120425openalex-snapshot

Reducing radiation dose for NN-based COVID-19 detection in helical chest CT using real-time monitored reconstruction

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125099openalex-snapshot

StarAN: A star attention network utilizing inter-view and intra-view correlations for sparse-view cone-beam computed tomography reconstruction

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128109openalex-snapshot

COO-DuDo: computation overhead optimization methods for dual-domain sparse-view CT reconstruction

inferred← citeshttps://doi.org/10.1016/j.media.2025.103454openalex-snapshot

Strategies for generating synthetic computed tomography-like imaging from radiographs: A scoping review

inferred← citeshttps://doi.org/10.1016/j.media.2025.103585openalex-snapshot

3DGR-CT: Sparse-view CT reconstruction with a 3D Gaussian representation

inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111786openalex-snapshot

SDIP: Self-reinforcement deep image prior framework for image processing

inferred← citeshttps://doi.org/10.1016/j.tmater.2025.100075openalex-snapshot

Boosting Noise2Inverse via Enhanced Model Selection for Denoising Computed Tomography Data

inferred← citeshttps://doi.org/10.1038/s41598-021-97226-2openalex-snapshot

Limited-angle computed tomography with deep image and physics priors

inferred← citeshttps://doi.org/10.1038/s41598-022-04910-yopenalex-snapshot

Cycloidal CT with CNN-based sinogram completion and in-scan generation of training data

inferred← citeshttps://doi.org/10.1038/s41598-025-11089-5openalex-snapshot

Task based evaluation of sparse view CT reconstruction techniques for intracranial hemorrhage diagnosis using an AI observer model

inferred← citeshttps://doi.org/10.1063/5.0167956openalex-snapshot

Limited-angle artifacts removal and jitter correction in soft x-ray tomography via physical model-driven deep learning

inferred← citeshttps://doi.org/10.1088/1361-6420/ac8beeopenalex-snapshot

Joint Gaussian dictionary learning and tomographic reconstruction

inferred← citeshttps://doi.org/10.1088/1361-6560/ab4919openalex-snapshot

CNN-based PET sinogram repair to mitigate defective block detectors

inferred← citeshttps://doi.org/10.1088/1361-6560/abcde8openalex-snapshot

Enhancing digital tomosynthesis (DTS) for lung radiotherapy guidance using patient-specific deep learning model

inferred← citeshttps://doi.org/10.1088/1361-6560/ad3c8eopenalex-snapshot

Iterative reconstruction for limited-angle CT using implicit neural representation

inferred← citeshttps://doi.org/10.1088/1361-6560/ad3db9openalex-snapshot

Hybrid U-Net and Swin-transformer network for limited-angle cardiac computed tomography

inferred← citeshttps://doi.org/10.1088/2057-1976/ac87b4openalex-snapshot

Deep learning based correction of low performing pixel in computed tomography

inferred← citeshttps://doi.org/10.1109/3dv53792.2021.00028openalex-snapshot

Non-Linear Anisotropic Diffusion for Memory-Efficient Computed Tomography Super-Resolution Reconstruction

inferred← citeshttps://doi.org/10.1109/3dv69130.2026.00024openalex-snapshot

X-LRM: X-Ray Large Reconstruction Model for Extremely Sparse-View Computed Tomography Recovery in One Second

inferred← citeshttps://doi.org/10.1109/access.2019.2962071openalex-snapshot

Multi-Scale Dilated Convolution Neural Network for Image Artifact Correction of Limited-Angle Tomography

inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825036openalex-snapshot

Noise2Inverse for 3D Low-Dose Cone-Beam Computed Tomography

inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.02010openalex-snapshot

Clean Implicit 3D Structure from Noisy 2D STEM Images

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01062openalex-snapshot

Structure-Aware Sparse-View X-Ray 3D Reconstruction

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01908openalex-snapshot

Real-Time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination

inferred← citeshttps://doi.org/10.1109/embc44109.2020.9175367openalex-snapshot

Compressed Sensing based Image Reconstruction with Projection Recovery for Limited Angle Cone-Beam CT Imaging

inferred← citeshttps://doi.org/10.1109/iccae64891.2025.10980598openalex-snapshot

An Attention-Based Generative Adversarial Network for Limited-Angle CT Reconstruction

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00197openalex-snapshot

IntraTomo: Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00226openalex-snapshot

Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields

inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00547openalex-snapshot

4D Cloud Scattering Tomography

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00963openalex-snapshot

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction

inferred← citeshttps://doi.org/10.1109/iccv51701.2025.02293openalex-snapshot

$\mathbf{X}^{\mathbf{2}}$-Gaussian: 4D Radiative Gaussian Splatting for Continuous-Time Tomographic Reconstruction

inferred← citeshttps://doi.org/10.1109/iccvw.2019.00486openalex-snapshot

Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium

inferred← citeshttps://doi.org/10.1109/icip55913.2025.11084640openalex-snapshot

Advancing Limited-Angle CT Reconstruction through Diffusion-Based Sinogram Completion

inferred← citeshttps://doi.org/10.1109/icipw68931.2025.11386431openalex-snapshot

Diffusion-Based Limited-Angle CT Reconstruction Under Noisy Conditions

inferred← citeshttps://doi.org/10.1109/icist55546.2022.9926834openalex-snapshot

Deep Learning Single View Computed Tomography Guided by FBP Algorithm

inferred← citeshttps://doi.org/10.1109/medai62885.2024.00043openalex-snapshot

Dual-Domain Image Reconstruction Network Integrating Residual Attention for Sparse View Computed Tomography

inferred← citeshttps://doi.org/10.1109/tci.2019.2937221openalex-snapshot

Fast Enhanced CT Metal Artifact Reduction Using Data Domain Deep Learning

inferred← citeshttps://doi.org/10.1109/tci.2021.3062986openalex-snapshot

Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium

inferred← citeshttps://doi.org/10.1109/tci.2021.3098922openalex-snapshot

SPECIAL: Single-Shot Projection Error Correction Integrated Adversarial Learning for Limited-Angle CT

inferred← citeshttps://doi.org/10.1109/tci.2021.3114994openalex-snapshot

Autoregression and Structured Low-Rank Modeling of Sinogram Neighborhoods

inferred← citeshttps://doi.org/10.1109/tci.2021.3125564openalex-snapshot

CoIL: Coordinate-Based Internal Learning for Tomographic Imaging

inferred← citeshttps://doi.org/10.1109/tci.2022.3172589openalex-snapshot

Mitigating Object Prior-Bias From Sparse-Projection Tomographic Reconstructions

inferred← citeshttps://doi.org/10.1109/tci.2022.3225680openalex-snapshot

Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data

inferred← citeshttps://doi.org/10.1109/tci.2025.3572699openalex-snapshot

Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications

inferred← citeshttps://doi.org/10.1109/tci.2025.3626239openalex-snapshot

TAG-Splat: Two-Stage Anisotropic Gaussian Splatting for CL Reconstruction

inferred← citeshttps://doi.org/10.1109/tci.2026.3701585openalex-snapshot

GR-Gaussian: Graph-Based Radiative Gaussian Splatting for Sparse-View Tomographic Reconstruction

inferred← citeshttps://doi.org/10.1109/tim.2023.3276030openalex-snapshot

A Deep-Learning-Based Method for Correction of Bone-Induced CT Beam-Hardening Artifacts

inferred← citeshttps://doi.org/10.1109/tim.2023.3318712openalex-snapshot

SEA-Net: Structure-Enhanced Attention Network for Limited-Angle CBCT Reconstruction of Clinical Projection Data

inferred← citeshttps://doi.org/10.1109/tim.2024.3406810openalex-snapshot

Coarse-to-Fine Learning for Planning CT-Enhanced Limited-Angle CBCT Reconstruction

inferred← citeshttps://doi.org/10.1109/tim.2024.3522391openalex-snapshot

A Multiscale Reconstruction Framework Based on Edge-Enhanced Guidance for In-Line X-Ray Phase-Contrast CT With Limited-Angle Projections

inferred← citeshttps://doi.org/10.1109/tim.2025.3568935openalex-snapshot

SIRE-Net: Structure-Integrated Refinement and Enhancement Network for Limited-Angle CT Reconstruction

inferred← citeshttps://doi.org/10.1109/tip.2020.3006339openalex-snapshot

SABER: A Systems Approach to Blur Estimation and Reduction in X-Ray Imaging

inferred← citeshttps://doi.org/10.1109/tmi.2021.3066318openalex-snapshot

Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer

inferred← citeshttps://doi.org/10.1109/tmi.2021.3072568openalex-snapshot

Data Extrapolation From Learned Prior Images for Truncation Correction in Computed Tomography

inferred← citeshttps://doi.org/10.1109/tmi.2021.3090257openalex-snapshot

Learning to Reconstruct CT Images From the VVBP-Tensor

inferred← citeshttps://doi.org/10.1109/tmi.2022.3148110openalex-snapshot

DIOR: Deep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction

inferred← citeshttps://doi.org/10.1109/tmi.2022.3175529openalex-snapshot

Sam’s Net: A Self-Augmented Multistage Deep-Learning Network for End-to-End Reconstruction of Limited Angle CT

inferred← citeshttps://doi.org/10.1109/tmi.2022.3219856openalex-snapshot

Low-Dose CT Denoising via Sinogram Inner-Structure Transformer

inferred← citeshttps://doi.org/10.1109/trpms.2023.3242662openalex-snapshot

CROSS: Cross-Domain Residual-Optimization-Based Structure Strengthening Reconstruction for Limited-Angle CT

inferred← citeshttps://doi.org/10.1109/trpms.2023.3316349openalex-snapshot

A Review of Deep Learning CT Reconstruction From Incomplete Projection Data

inferred← citeshttps://doi.org/10.1145/3306346.3322965openalex-snapshot

Warp-and-project tomography for rapidly deforming objects

inferred← citeshttps://doi.org/10.1145/3528223.3530121openalex-snapshot

NeAT

inferred← citeshttps://doi.org/10.1145/3610548.3618166openalex-snapshot

Differentiable Dynamic Visible-Light Tomography

inferred← citeshttps://doi.org/10.1145/3633637.3633702openalex-snapshot

Image Domain Ultra-Sparse View CT Artifact Removal Via Conditional Denoising Diffusion Probability Model

inferred← citeshttps://doi.org/10.1155/2022/5426643openalex-snapshot

NeuRec: Incorporating Interpatient prior to Sparse‐View Image Reconstruction for Neurorehabilitation

inferred← citeshttps://doi.org/10.1177/08953996241301661openalex-snapshot

RNAF: Regularization neural attenuation fields for sparse-view CBCT reconstruction

inferred← citeshttps://doi.org/10.1177/08953996251339368openalex-snapshot

Multi-domain information fusion diffusion model (MDIF-DM) for limited-angle computed tomography

inferred← citeshttps://doi.org/10.1364/josaa.375595openalex-snapshot

TomoGAN: low-dose synchrotron x-ray tomography with generative adversarial networks: discussion

inferred← citeshttps://doi.org/10.1364/oe.379200openalex-snapshot

Diffraction tomography with a deep image prior

inferred← citeshttps://doi.org/10.21037/qims-21-441openalex-snapshot

One half-scan dual-energy CT imaging using the Dual-domain Dual-way Estimated Network (DoDa-Net) model

inferred← citeshttps://doi.org/10.21037/qims-21-778openalex-snapshot

Two-stage deep learning network-based few-view image reconstruction for parallel-beam projection tomography

inferred← citeshttps://doi.org/10.2172/1598955openalex-snapshot

Improving Limited Angle CT Reconstruction with a Robust GAN Prior

inferred← citeshttps://doi.org/10.3233/xst-210936openalex-snapshot

A preconditioned landweber iteration scheme for the limited-angle image reconstruction

inferred← citeshttps://doi.org/10.32388/zx6d29openalex-snapshot

ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction

inferred← citeshttps://doi.org/10.3390/bioengineering11070646openalex-snapshot

HEAL: High-Frequency Enhanced and Attention-Guided Learning Network for Sparse-View CT Reconstruction

inferred← citeshttps://doi.org/10.3390/electronics12214503openalex-snapshot

Sinogram Upsampling via Sub-Riemannian Diffusion with Adaptive Weighting

inferred← citeshttps://doi.org/10.3390/ijerph191811708openalex-snapshot

Artificial Intelligence in Spinal Imaging: Current Status and Future Directions

inferred← citeshttps://doi.org/10.3390/s22041446openalex-snapshot

A Limited-View CT Reconstruction Framework Based on Hybrid Domains and Spatial Correlation

inferred← citeshttps://doi.org/10.3390/tomography9030094openalex-snapshot

Sinogram Inpainting with Generative Adversarial Networks and Shape Priors

inferred← citeshttps://doi.org/10.36227/techrxiv.170492523.37640748/v1openalex-snapshot

Computation Overhead Optimization Strategy and Implementation for Dual-Domain Sparse-View CT Reconstruction

inferred← citeshttps://doi.org/10.3788/lop230488openalex-snapshot

基于深度学习的稀疏或有限角度CT重建方法研究综述

inferred← citeshttps://doi.org/10.3788/lop242283openalex-snapshot

基于深度学习的稀疏扫描双域图像重建

inferred← citeshttps://doi.org/10.3934/ammc.2023008openalex-snapshot

HD-DCDM: Hybrid-domain network for limited-angle computed tomography with deconvolution and conditional diffusion model

inferred← citeshttps://doi.org/10.3934/ammc.2023012openalex-snapshot

A deep learning approach using boundary shape information for limited-angle tomography reconstruction

inferred← citeshttps://doi.org/10.48550/arxiv.1805.07281openalex-snapshot

An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks

inferred← citeshttps://doi.org/10.48550/arxiv.1902.03362openalex-snapshot

Sinogram interpolation for sparse-view micro-CT with deep learning neural network

inferred← citeshttps://doi.org/10.48550/arxiv.1910.05375openalex-snapshot

Extreme Few-view CT Reconstruction using Deep Inference

inferred← citeshttps://doi.org/10.48550/arxiv.2005.10034openalex-snapshot

Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images

inferred← citeshttps://doi.org/10.48550/arxiv.2008.03988openalex-snapshot

A model-guided deep network for limited-angle computed tomography

inferred← citeshttps://doi.org/10.48550/arxiv.2009.01782openalex-snapshot

Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency

inferred← citeshttps://doi.org/10.48550/arxiv.2012.03223openalex-snapshot

Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms

inferred← citeshttps://doi.org/10.48550/arxiv.2012.11374openalex-snapshot

Dual-energy CT Reconstruction from Dual Quarter Scans

inferred← citeshttps://doi.org/10.48550/arxiv.2101.07594openalex-snapshot

Real-Time Limited-View CT Inpainting and Reconstruction with Dual Domain Based on Spatial Information

inferred← citeshttps://doi.org/10.48550/arxiv.2101.07613openalex-snapshot

A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction

inferred← citeshttps://doi.org/10.48550/arxiv.2102.05181openalex-snapshot

CoIL: Coordinate-based Internal Learning for Imaging Inverse Problems

inferred← citeshttps://doi.org/10.7717/peerj-cs.1849openalex-snapshot

Proj2Proj: self-supervised low-dose CT reconstruction

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.