Sparse-View CT Reconstruction

CT: Computed Tomography

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2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. Gradient-Based Trajectory Optimisation over Continuous Poses for Sparse-View Cone-Beam CT

    Oct 7, 2026Linda-Sophie Schneider, Simon Wittl, Gabriel Herl +1Trajectory OptimizationCone-Beam CT

    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany · Deggendorf Institute of Technology, Germany

  2. PhyDiCT: Plug-and-Play CT Reconstruction from Sparse X-Rays via Differentiable Rendering and Strong Priors

    Oct 7, 2026Weicheng Dai, Shantanu Ghosh, Kayhan BatmanghelichSparse-View CT Reconstruction3D Medical Imaging

    Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA

  3. TomoTransformer: Towards a Foundation Model for CT Reconstruction

    Sep 29, 2026AmirEhsan Khorashadizadeh, Benjamín BéjarMedical Imaging Foundation ModelsImage Reconstruction

    Swiss Data Science Center (SDSC) in Paul Scherrer Institute (PSI), Villigen, Switzerland.

  4. Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction

    Sep 9, 2026Pranav Poudel, Florence Dell'Aniello Picard, Nairouz Shehata +23D Gaussian Splatting3D Medical Imaging

    Polytechnique Montréal, Canada · Mila - Quebec AI Institute, Canada · CHUM - University of Montreal Hospital, Canada

  5. Revisiting Pose Sensitivity in Splat-based Computed Tomography under Sparse-view Reconstruction

    Aug 5, 2026Kiseok Choi, Hyeongjun Cho, Inchul Kim +13D Gaussian SplattingCone-Beam CT

    KAIST

  6. Agentic Autoresearch for CT Reconstruction

    Jul 24, 2026Andreas Maier, Lucas Kachelriess, Siming Bayer +4AI for ScienceSparse-View CT Reconstruction

    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany · Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany · Universitätsklinikum Erlangen (UKER), Erlangen, Germany +2

  7. KK-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs

    Jul 15, 2026Daksh K. Shah, Emmanouil Nikolakakis, Razvan MarinescuCone-Beam CTImplicit Neural Representations

    University of California, Santa Cruz

  8. Posterior Variance Is a Constraint Map, Not an Error Map: Closed-Form Uncertainty for Radiative Gaussian Splatting in Sparse-View CT

    Jul 15, 2026Chulin Zhao, Yiran Xu, Shu Liu3D Gaussian SplattingUncertainty Quantification

    1Dundee International Institute, Central South University · 2Central South University

  9. Exact and Calibrated Diffusion Reconstruction for Digital Breast Tomosynthesis

    Jul 14, 2026Imade BouftiniImage ReconstructionSparse-View CT Reconstruction

  10. Design Choices in Splitting-Based Self-Supervised Sparse-View CT Reconstruction

    Jul 12, 2026Nadja Gruber, Lukas Neumann, Ander Biguri +3Self-Supervised LearningSparse-View CT Reconstruction

    Department of Computer Science, University of Innsbruck, Austria. · Institute of Basic Sciences in Engineering Science, University of Innsbruck, Austria. · Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK. +3

  11. Quantum Compressed Sensing CT Reconstruction Algorithm Based on Penalized Weighted Least Squares and Guided Total Variation

    Jul 12, 2026Yuwen Zhang, Yujie Liu, Ao Wang +4Sparse-View CT ReconstructionQuadratic Unconstrained Binary Optimization

    Department of Medical Imaging Technology, Peking University Health Science Center, Beijing, China

  12. Robustness and Stability Analysis of Differentiable Shift-Variant FBP for Cone-Beam CT under Challenging Acquisition Settings

    Jul 10, 2026Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +5Cone-Beam CTImage Reconstruction

    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

  13. SAVER: Stochastic Adaptive Variance-Driven Exploration and Reconstruction for Low-Dose Computed Tomography

    Jul 4, 2026Shunta Nonaga, Koji Tabata, Junya Honda +3Sparse-View CT ReconstructionAdaptive Sampling

    Graduate School of Chemical Sciences and Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan. · Research Center of Mathematics for Social Creativity, Research Institute for Electronic Science, Hokkaido University, Kita 20 Nishi 10, Kita-ku, Sapporo, Hokkaido 001-0020, Japan · Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Kita 21 Nishi 10, Kita-ku, Sapporo, Hokkaido 001-0021, Japan. +7

  14. A Dual-domain Refinement Network with FBP-based Jacobian Learning for Sparse-view Dual-Energy CT Material Decomposition

    Jun 29, 2026Qian Liu, Xiaohong Fan, Ke Chen +3Sparse-View CT ReconstructionOperator Learning

    School of Mathematics and Computational Science, Xiangtan University, National Center for Applied Mathematics in Hunan, Key Laboratory for Intelligent Computing and Information Processing of the Ministry of Education, Xiangtan 411105, China · College of Mathematical Medicine, Zhejiang Normal University, Jinhua 321004, China · Department of Mathematics and Statistics, University of Strathclyde, G1 1XH Glasgow, U.K. +1

  15. Enabling self-supervised learned primal dual with Noise2Inverse

    Jun 25, 2026Antti Sällinen, Siiri Rautio, Santeri Kaupinmäki +1Self-Supervised LearningImage Reconstruction

    Research Unit of Mathematical Sciences, University of Oulu, Finland · Department of Mathematics and Information Science, Josai University, Japan · Department of Computer Science, University College London, United Kingdom

  16. Multilevel Stochastic Plug-and-Play for Sparse-View CT Reconstruction

    Jun 23, 2026Antoine De Paepe, Alexandre Bousse, Dimitris VisvikisImage ReconstructionSparse-View CT Reconstruction

    LaTIM, Inserm, UMR 1101, Université de Bretagne Occidentale, Brest, France

  17. Quantum CT via Dynamic Interval Encoding and Prior-Balanced QUBO Reconstruction

    Jun 23, 2026Ao Wang, Yikuang Yuluo, Yujie Liu +7Image ReconstructionSparse-View CT Reconstruction

  18. Projection-Volume Fidelity Divergence: Diagnosing and Controlling Optimization Drift in Sparse-View 3D Gaussian Tomography

    Jun 21, 2026Yikuang Yuluo, Ao Wang, Shen Kuan +63D Gaussian SplattingAdaptive Gaussian Densification

    1Chongqing University, Chongqing, China · 2Peking University Health Science Center, Beijing, China

  19. LUCID: Learned Undersampling-Adaptive Consistency-Guided Inference with Deterministic Flow Matching for Sparse-View CT Reconstruction

    Jun 15, 2026Jigang Duan, Jiayi Wang, Heran Wang +3Sparse-View CT ReconstructionComputational Imaging

    School of Mathematical Sciences, Capital Normal University, Beijing 100048, China · National Center for Applied Mathematics Beijing, Capital Normal University and Academy for multidisciplinary studies, Capital Normal University, Beijing, 100048, China

  20. Unsupervised Deep Image Prior for Sparse-View and Limited-Angle Electron Tomography

    May 26, 2026Serge Brosset, Daniel del Pozo Bueno, Thomas David +3Sparse-View CT ReconstructionComputed Tomography

    a Univ. Grenoble Alpes, CEA, Leti, F-38000 Grenoble, France. · b Univ. Grenoble Alpes, CEA, Liten, F-38000 Grenoble, France. · c CEA, Joliot, NeuroSpin, Gif-sur-Yvette Cedex 91191, France. +1

  21. GeoTopoDiff: Learning Geometry--Topology Graph Priors through Boundary-Constrained Mixed Diffusion for Sparse-Slice 3D Porous Reconstruction

    May 5, 2026Yue Shi, Peng Wang, Mingzhe Yu +53D ReconstructionSparse-View CT Reconstruction

    Manchester Metropolitan University, Manchester M1 5GD, U.K. · University of Surrey, Surrey, GU2 7XH, U.K. · Johnson Matthey Billingham, TS23 1LB, U.K. +1

  22. Residual Gaussian Splatting for Ultra Sparse-View CBCT Reconstruction

    Apr 30, 2026Jian Lin, Jiancheng Fang, Shaoyu Wang +43D Gaussian SplattingCone-Beam CT

    School of Information Engineering, Nanchang University, Nanchang 330031, China · Laboratory of Image Science and Technology, the School of Computer Science and Engineering, and the Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications, Ministry of Education, Southeast University, Nanjing 210096, China

  23. Conditional Diffusion Posterior Alignment for Sparse-View CT Reconstruction

    Apr 23, 2026Luis Barba, Johannes Kirschner, Benjamin BejarCone-Beam CT3D Medical Imaging

    Swiss Data Science Center (SDSC) in Paul Scherrer Institute (PSI), Villigen, Switzerland. · Swiss Data Science Center (SDSC) and ETH Zurich, Switzerland. · Swiss Data Science Center (SDSC) and Paul Scherrer Institute (PSI), Villigen, Switzerland.

  24. DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction

    Apr 23, 2026Shiyan Su, Ruyi Zha, Danli Shi +2Diffusion Models for Image RestorationSparse-View CT Reconstruction

    1Monash University · 2The Australian National University · 3Hong Kong Polytechnic University

  25. Generative Drifting for Conditional Medical Image Generation

    Apr 21, 2026Zirong Li, Siyuan Mei, Weiwen Wu +33D Medical ImagingOne-Step Generative Modeling

    Department of Orthodontics and Orofacial Orthopedics, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany · Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany · Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany +1

  26. SPLIT: Self-supervised Partitioning for Learned Inversion in Nonlinear Tomography

    Apr 17, 2026Markus Haltmeier, Lukas Neumann, Nadja Gruber +1Self-Supervised LearningSparse-View CT Reconstruction

  27. ILV: Iterative Latent Volumes for Fast and Accurate Sparse-View CT Reconstruction

    Mar 16, 2026Seungryong Lee, Woojeong Baek, Joosang Lee +1Cone-Beam CTImage Reconstruction

    Sungkyunkwan University · Yonsei University

  28. Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction

    Mar 6, 2026Yulun Wu, Ruyi Zha, Wei Cao +33D Gaussian SplattingActive Perception

    University of Illinois Urbana-Champaign · Australian National University · Johns Hopkins University

  29. Efficient Flow Matching for Sparse-View CT Reconstruction

    Feb 27, 2026Jiayang Shi, Lincen Yang, Zhong Li +3Flow MatchingSparse-View CT Reconstruction

    Centrum Wiskunde en Informatica · LIACS, Leiden University · Great Bay University +1

  30. Artifact Reduction in Undersampled 3D Cone-Beam CTs using a Hybrid 2D-3D CNN Framework

    Feb 9, 2026Johannes Thalhammer, Tina Dorosti, Sebastian Peterhansl +3Cone-Beam CTSparse-View CT Reconstruction

    Chair of Biomedical Physics, Department of Physics, School of Natural Sciences · Munich Institute of Biomedical Engineering · Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum +2