Computed Tomography

Also known as CT

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18 papers in the last four weeks, up 80% on the four weeks before. 0.2% 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. 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

  3. 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

  4. 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

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

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

    Sep 30, 2026Fabio MattiussiImage Quality AssessmentComputed Tomography

    EOC

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

    Sep 30, 2026Md Mushfiqur Rahaman, Md Mahedi Hasan, Imtiaz Ahmed +1Mixture of ExpertsVision Foundation Model Adaptation

    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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. From Pixel Generation to Topological Inference: Structural Dual Super-Resolution for Trustworthy Cross-Physical-Domain Trabecular Morphology Learning

    Sep 28, 2026Fan Zhang, Yi Zhang, Ling Wang3D Medical ImagingMedical Image Super-Resolution

    Institute of High Energy Physics, Chinese Academy of Sciences Beijing 100049, China · Department of Radiology Beijing Jishuitan Hospital Beijing, China

  14. Field-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement

    Sep 23, 2026Susanne Schaub, Florentin Bieder, Matheus L. Oliveira +5Cone-Beam CTImage Reconstruction

    Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland · Piracicaba Dental School, University of Campinas, Piracicaba, Brazil · State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China +2

  15. Cross-Modal Contrastive Learning from Histopathology and CT for Automated Renal Cell Carcinoma Grading

    Sep 22, 2026Amit Das, Tanmay Shukla, Naofumi Tomita +9Medical Image ClassificationOncology

    Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA · Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA · Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA +6

  16. Complementary Roles of Radiomics and Foundation Representations in Renal Cell Carcinoma Classification: A Comparative Study of 2D and 3D CT Encodings

    Sep 22, 2026Yuan Liang, Sourav Bhattacharjee, Abraham CampbellMedical Imaging Foundation ModelsOncology

    Research Ireland Centre for Research Training in Machine Learning · School of Computer Science, University College Dublin, Dublin, Ireland · School of Veterinary Medicine, University College Dublin, Dublin, Ireland

  17. TRACE: Two-Stage Detector-Response Estimation With Angular Cosine Expansion for Ring Artifact Correction in Photon-Counting CT

    Sep 14, 2026Jigang Duan, Heran Wang, Ligen Shi +3Computed Tomography

    School of Mathematical Sciences, Capital Normal University, Beijing 100048, China · College of Computer Science (College of Software), Inner Mongolia University, Hohhot 010021, China · Research Center for Spatiotemporal Intelligence, Inner Mongolia University, Hohhot 010021, China

  18. GRIPNet: Gaussian Radial Intensity Prior Guided Architecture for Pulmonary Nodule Detection in CT

    Sep 12, 2026Haojie Yang, Ran SuSmall Object DetectionMedical Image Anomaly Detection

    College of Intelligence and Computing, Tianjin University, Tianjin, China

  19. Multi-Pass, Multi-View Blended Learning for High-Fidelity Volumetric CT Synthesis from Chest X-Rays

    Sep 9, 2026Ozer Can Devecioglu, Serkan Kiranyaz, Rashid Mazhar +3Synthetic-to-Real Domain AdaptationImage Reconstruction

    Department of Computing Sciences, Tampere University, Finland. · Department of Electrical Engineering, Qatar University, Doha, Qatar. · Hamad Medical Corporation, Doha, Qatar.

  20. LeCor: Learning to Be Corrected by Meta-Learned Test-Time Training for Interactive 3D Lung-Tumour Segmentation

    Sep 8, 2026Yi Luo, Yike Guo, Wenxuan Li +3Interactive Medical Image SegmentationMeta-Learning

    Department of Biomedical Engineering, Johns Hopkins University · Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University · Department of Computer Science, Johns Hopkins University +1

  21. Weakly supervised neural network: segmentation of complex structures in X-ray microCT

    Sep 7, 2026Daniele Rusconi, Michela Ascolese, Stephanie Fest-Santini +2Image SegmentationWeakly Supervised Image Segmentation

    Department of Engineering and Applied Sciences, University of Bergamo Viale Marconi 20, 24044 Dalmine, Italy · Department of Physics “G. Occhialini”, University of Milano-Bicocca Piazza della Scienza 3, 20126 Milan, Italy · INFN Milano-Bicocca Piazza della Scienza 3, 20126 Milan, Italy +2

  22. Weakly-supervised Kidney Tumor Classification from CT Scans with Multi-Instance Learning and Anatomical Filtering

    Sep 7, 2026Joonas Ariva, Dmytro FishmanOOD GeneralizationMedical Image Classification

    University of Tartu, Tartu, Estonia · STACC, Tartu, Estonia · Better Medicine, Tartu, Estonia

  23. Physics-Driven Independent Pair Generation for Iterative Self-Supervised Low-Dose CT Denoising

    Sep 1, 2026Xianlei Han, Shaoyu Wang, Jiancheng Fang +2Self-Supervised Image DenoisingSelf-Supervised Learning

    School of Mathematics and Computer Sciences, Nanchang University, Nanchang 330031, China · School of Information Engineering, Nanchang University, Nanchang 330031, China · School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 510275, Guangdong, China

  24. A multicenter benchmark and clinically structured metric for coronary CTA report generation

    Sep 1, 2026Zhiyu Ye, Yue Sun, Limiao Zou +7VLM EvaluationRadiology Report Generation

    State Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China · Pengcheng Laboratory, Shenzhen, China · University of Chinese Academy of Sciences, Beijing, China +1

  25. Instance-Guided Report Anchoring for Text-Free 3D Abnormality Segmentation in Chest CT

    Aug 31, 2026Zhenyu Bu, Haoyan Ding, Chushu Shen +7Medical Image Segmentation3D Medical Image Segmentation

    Siemens Medical Solutions USA, Inc., Malvern, PA, USA · The Ohio State University, Columbus, OH, USA · University of California, Los Angeles, Los Angeles, CA, USA +2

  26. ImageCAS-X: a dataset and benchmark for coronary artery segmentation and centerline extraction in coronary CT angiography

    Aug 31, 2026Kit M. Bransby, Esther Øksnebjerg, Kristoffer Kjær +7Medical Image SegmentationCoronary Artery Segmentation

    DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark · Cardiovascular Research Unit, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark

  27. Extending TotalSegmentator: Predicting Patient and Acquisition Characteristics from CT and MR Images

    Aug 29, 2026Jakob Wasserthal, Joshy Cyriac, Michael Bach +7Magnetic Resonance Imaging3D CNNs

    Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland · Antimicrobial Resistance Research Center, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran · Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran +7

  28. Unified-protocol voxel-level pulmonary embolism annotations for three public CT angiography datasets

    Aug 25, 2026Qihang Sun, Zhongxiao Liu, Bailiang Jian +6Medical Image SegmentationComputed Tomography

    Technical University of Munich (TUM), Munich, Germany · Munich Center for Machine Learning (MCML), Munich, Germany · Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China +2

  29. Toward a Foundation Plug-and-Play Prior for Computed Tomography Reconstruction via a Multimodal Diffusion Model

    Aug 24, 2026Haley Duba-Sullivan, Patxi Fernandez-Zelaia, Obaidullah Rahman +1Computed TomographyDiffusion Models

    Oak Ridge National Laboratory Oak Ridge, TN, USA

  30. HounsWorld: A Multimodal World Model for Hidden Patient-State Readout, Reconstruction, and Simulation

    Aug 13, 2026Yunhao Bai, Zhongwei Qiu, Guangyu Guo +5Medical Report GenerationWorld Model Learning

    1Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University · 2DAMO Academy, Alibaba Group · 3Hupan Laboratory +1