Computed Tomography

Also known as CT

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Overview

Computed tomography (CT) research studies how to reconstruct internal structure from X-ray measurements and extract useful clinical or scientific information from scans. Approaches range from physics-based iterative reconstruction and learned unrolling to diffusion and flow-matching priors, CNN and Transformer segmentation, and vision-language systems for image interpretation and reporting. Work spans low-dose, sparse-view, cone-beam, and spectral CT, with evaluations on benchmarks such as AAPM Mayo, LoDoPaB-CT, and CT-RATE as well as multi-center cohorts. A central challenge is balancing speed and image quality with data consistency, anatomical fidelity, robustness across scanners and populations, and clinically meaningful evaluation.

Latest papers

CardsList

275 papers27 papers in the last four weeks, up 35% on the four weeks before. 0.2% of all new papers.

  1. FFAI: Flow Matching with Feedback Training and Adaptive Initialization for CT Reconstruction

    Oct 29, 2026Jigang Duan, Heran Wang, Genwei Ma +1Computed TomographySparse-View CT Reconstruction

    School of Mathematical Sciences, Capital Normal University, Beijing 100048, China · National Center for Applied Mathematics Beijing, Capital Normal University, and the Academy for Multidisciplinary Studies, Capital Normal University, Beijing 100048, China

  2. Agentic AI Reasoning and Learned Sampling for Task-Aware Projection Selection in Sparse-View CT: Predicting Hemodynamics

    Oct 28, 2026Mahmoud Elhadidy, Roshan M. D'Souza, Amirhossein ArzaniComputed TomographyActive Feature Acquisition

    Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, USA · Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA · Department of Mechanical Engineering, University of Wisconsin–Milwaukee, Milwaukee, WI, USA +1

  3. Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors

    Oct 28, 2026Linrui Dai, Jinxiu Liang, Chu Zhou +3Sparse-View CT ReconstructionComputed Tomography

    The University of Tokyo · National Institute of Informatics

  4. CTBakeGS: training-free baking of photorealistic CT volume renderings into 3D Gaussian splats

    Oct 27, 2026Haruki Fukuda, Constantin Lux, Wolf Schweitzer +23D Gaussian Splatting3D Medical Imaging

    Department of Forensic Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan · Institute of Forensic Medicine, Universität Zürich, Zürich, Switzerland · Biometrics/Forensic Imaging, Zurich Forensic Science Institute, Zurich, Switzerland

  5. An interpretable deep learning method for early hepatocellular carcinoma diagnosis on multiphase CT

    Oct 21, 2026Emma Sarfati, Alexandre Bône, Pietro Gori +8Medical DiagnosisMedical Image Classification

    Guerbet Research, Villepinte, France · LTCI, Télécom Paris, Institut Polytechnique de Paris, Saclay, France · MAP5 (UMR 8145), Université Paris Cité, 45 rue des Saints-Pères, Paris, France +7

  6. TEMPL: A Resource-Efficient and Transparent Model-Free Framework for Pseudo-Label Generation in Material CT Scans

    Oct 20, 2026Ashiqur Rahman, Venkata Devesh Reddy Seethi, Austin Yunker +2Image SegmentationPseudo-Labeling

    Department of Computer Science, Northern Illinois University, DeKalb, IL, USA · Argonne National Laboratory, Lemont, IL, USA

  7. XGLASS: X-Ray, Gaze and Language Assisted Slice Sequencing for CT Volumes

    Oct 19, 2026Michael Glöckler, Timo RopinskiMedical Image AnalysisMedical VLMs

    Ulm University, Germany

  8. Hexagonal Basis Projectors for Model-Based Iterative CT Reconstruction

    Oct 17, 2026Ke Chen, Alireza EntezariImage ReconstructionComputed Tomography

    University of Florida

  9. NV-Generate-Body: 3D Latent Diffusion Model forControllable Anatomy, Tumor, and Demographic Body Mask Synthesis

    Oct 16, 2026Can Zhao, Pengfei Guo, Dong Yang +8Medical Image SynthesisConditional Generation

    NVIDIA · National Institutes of Health · University of Arkansas for Medical Sciences

  10. VascuSR: Iterative Anatomy-Aware Diffusion for CT Super-Resolution

    Oct 14, 2026Hairong Ni, Jiahe Huang, Minghao Guo +2Medical Image Super-Resolution3D Medical Imaging

    University of Michigan · University of California, San Diego · MIT CSAIL

  11. LiFUSE: Frequency-Spatial Unified Self-Supervised Pretraining for Liver Disease Analysis on Non-contrast CT

    Oct 13, 2026Hao Zhang, Yi Huang, Wei Liu +6Medical Image AnalysisMedical Image Representation Learning

    College of Biomedical Engineering, Fudan University · DAMO Academy, Alibaba Group · Hupan Lab, HangZhou +2

  12. Hybrid Context Forests and Bilateral Viterbi Matching for 3D Rib Centerline Tracing in CT

    Oct 12, 2026Quan Wang3D Medical Image SegmentationComputed Tomography

  13. CAPTOR: a vision-language foundation model for Chest-Abdomen-Pelvis Oncologic CT

    Oct 9, 2026Séléna Jean-Mactoux, Sophie Loizillon, Ghina Jardali +3Medical Image RetrievalRadiology VLMs

    Biomaps, UMR1281, INSERM, CNRS, CEA, Université Paris-Saclay, Villejuif, France · Guerbet Research, Villepinte, France · Department of Diagnostic Oncologic Imaging, Gustave Roussy Institute, Villejuif, France +2

  14. The Predictability Bias of Joint-Embedding Predictive Learning in Medical Imaging

    Oct 9, 2026Fabian Drexel, Bernhard Kainz, Jakob N. Kather +4Medical Image Representation LearningJoint-Embedding Predictive Architecture

    Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany · Technical University of Munich, School of Medicine and Health, TUM University Hospital, Klinikum rechts der Isar, Department of Diagnostic and Interventional Radiology, Munich, Germany · Dept. AIBE, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany +7

  15. 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

  16. Gaussian Material Fields for Volumetric Multi-Energy CT Decomposition

    Oct 7, 2026Jian Lin, Jiancheng Fang, Hongming Shan +3Image ReconstructionComputed Tomography

    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

  17. Geometry-Aware Diffusion Approximate Posterior Sampling for Sparse-View and Limited-Angle CT

    Oct 5, 2026Honglei Brinkmann, Carola-Bibiane Schönlieb, Ander BiguriSparse-View CT ReconstructionComputed Tomography

    Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.

  18. A BEMD-Based Quaternion Filtering Approach Sharp-to-Soft Kernel CT Image Conversion

    Oct 5, 2026Mahmoud Nasr, Jan K. Argasinski, Krzysztof Brzostowski +1Computed TomographyImage Denoising

    Sano Centre for Computational Medicine, Czarnowiejska 36/C5, Kraków, 30-054, Poland · Department of Biocybernetics and Biomedical Engineering, AGH University of Krakow, 30-059 Krakow, Poland · Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Łojasiewicza 11, Kraków, 30-348, Poland +1

  19. Decomposition-Guided Curvelet Thresholding for Sharp-to-Soft CT Kernel Conversion

    Oct 5, 2026Mahmoud Nasr, Jan K. Argasinski, Krzysztof Brzostowski +1Computed TomographyImage Denoising

    Department of Biocybernetics and Biomedical Engineering, AGH University of Krakow, 30-059 Krakow, Poland. · Sano Centre for Computational Medicine, Czarnowiejska 36/C5, Kraków, 30-054, Poland. · Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Łojasiewicza 11, Kraków, 30-348, Poland. +1

  20. Scaling 3D Visual Grounding in Abdominal CT

    Oct 2, 2026Sam Church, Danyal Maqbool, Joshua D. Warner +4Medical Image Grounding3D Visual Grounding

    University of Wisconsin–Madison, Department of Computer Sciences, Madison, WI USA · University of Wisconsin–Madison, Department of Radiology, Madison, WI USA

  21. MAGEFormer: Learning Metric-Consistent Representations for Anisotropic CT Segmentation

    Oct 2, 2026Jiaying Li, Paolo RemagninoMedical Image Segmentation3D Medical Image Segmentation

    Department of Computer Science, Durham University, Durham, UK

  22. Preserving Anatomical Continuity: Three-Stage Pipeline for Colon Segmentation in 3D Abdominal CT Scans

    Oct 2, 2026Deshan Kalupahana, Sonit Singh, Praveen Ravindran +13D Medical Image SegmentationTopology-Preserving Image Segmentation

    School of Computer Science and Engineering, University of New South Wales, Sydney, Australia · Sydney Adventist Hospital, Wahroonga, Australia

  23. VoxelSynth3D: Interpretable Volumetric Image-Domain Metal Artifact Reduction with a Paired Synthetic CLINIC Benchmark

    Oct 1, 2026Amritesh Banerjee, Abdul Basit, Renil Renji Joseph +2Image EnhancementImage Reconstruction

    University of Massachusetts at Amherst, Amherst, USA · eBRAIN Lab, Division of Engineering, New York University Abu Dhabi (NYUAD), Abu Dhabi, UAE · Indian Institute of Technology Delhi Abu Dhabi, UAE +1

  24. RIQE: a NIQE-style reference model for Computed Tomography

    Sep 30, 2026Fabio MattiussiImage Quality AssessmentComputed Tomography

    EOC

  25. DCM-SAM: Defect-Conditioned Mixture of LoRA Experts for NPU-Deployed AM Defect Segmentation

    Sep 30, 2026Md Mushfiqur Rahaman, Md Mahedi Hasan, Imtiaz Ahmed +1Low-Rank AdaptationMixture of Experts

    Department of Industrial and Management Systems Engineering West Virginia University, Morgantown, WV · School of Mathematical and Data Sciences West Virginia University, Morgantown, WV · Lane Department of Computer Science & Electrical Engineering West Virginia University, Morgantown, WV

  26. Evaluating Multi-Task Morphological Concept Learning for Pulmonary Nodule Malignancy Assessment in 3D CT

    Sep 29, 2026Namitha NarayananRepresentation LearningMulti-Task Learning

    Independent Researcher, Kerala, India

  27. VoxelSage: Tool-Augmented 3D CT Analysis and Simulator-Shielded Sequential Resection Planning for Liver Tumors

    Sep 29, 2026Binghong Qian, Xuanhe Liu, Yifan Xing +33D Medical ImagingLLM Tool Use

    Zhejiang University

  28. Merlin Plus: A Large-Scale, Multi-Cancer, Image-Mask-Report Dataset

    Sep 29, 2026Pedro R. A. S. Bassi, Wenxuan Li, Szymon Plotka +10Medical Image SegmentationComputed Tomography

    Johns Hopkins University · Harvard Medical School · Massachusetts General Hospital +5

  29. FD-AA: A Lightweight Focal-Diffuse And Attenuation-Aware Head for Incidental Abdominal Abnormality Detection in Chest CT

    Sep 28, 2026Haoyan Ding, Kritika Iyer, Halid Yerebakan +9Medical Image Anomaly DetectionMedical Image Classification

    Siemens Medical Solutions USA, Inc., Malvern, PA, USA · University of California, Los Angeles, Los Angeles, CA, USA

  30. Disentangling Lung-Cancer CT/LDCT AI: A Systematic Evidence Map of Clinical Tasks, Evidence Chains, and Translational Gaps

    Sep 28, 2026Surajit DasMedical Image AnalysisComputed Tomography