Computed Tomography

Also known as CT

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. Representation geometry shapes task performance in vision-language modeling for CT enterography

    Apr 14, 2026Cristian Minoccheri, Emily Wittrup, Kayvan Najarian +1Medical VLMsMedical Image Classification

  2. Enhancing Fine-Grained Spatial Grounding in 3D CT Report Generation via Discriminative Guidance

    Apr 12, 2026Chenyu Wang, Weicheng Dai, Han Liu +2Radiology Report GenerationCT Report Generation

  3. Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling

    Apr 8, 2026Junqi Liu, Xinze Zhou, Wenxuan Li +10Medical Image SynthesisComputed Tomography

  4. Balancing Efficiency and Restoration: Lightweight Mamba-Based Model for CT Metal Artifact Reduction

    Apr 8, 2026Weikai Qu, Sijun Liang, Xianfeng Li +7Image RestorationComputed Tomography

  5. Leveraging Image Editing Foundation Models for Data-Efficient CT Metal Artifact Reduction

    Apr 7, 2026Ahmet Rasim Emirdagi, Süleyman Aslan, Mısra Yavuz +5Computed TomographyImage Reconstruction

  6. Learning Robust Visual Features in Computed Tomography Enables Efficient Transfer Learning for Clinical Tasks

    Apr 5, 2026Rubén Moreno-Aguado, Alba Magallón, Victor Moreno +2Medical Imaging Foundation ModelsMedical Image Representation Learning

  7. Shower-Aware Dual-Stream Voxel Networks for Structural Defect Detection in Cosmic-Ray Muon Tomography

    Apr 4, 2026Parthiv Dasgupta, Sambhav Agarwal, Palash Dutta +2Fault DetectionComputed Tomography

  8. HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis

    Apr 3, 2026Fengbei Liu, Sunwoo Kwak, Hao Phung +6Multi-Task LearningHypernetworks

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

    Apr 2, 2026Pawel Tomasz Pieta, Rasmus Juul Pedersen, Sina Borgi +3Computed Tomography3DGS Acceleration

  10. Robust Multi-Source Covid-19 Detection in CT Images

    Apr 2, 2026Asmita Yuki Pritha, Jason Xu, Daniel Ding +4Medical Image ClassificationDomain Generalization

  11. PHASOR: Anatomy- and Phase-Consistent Volumetric Diffusion for CT Virtual Contrast Enhancement

    Apr 1, 2026Zilong Li, Dongyang Li, Chenglong Ma +6Medical Image SynthesisImage Enhancement

  12. HICT: High-precision 3D CBCT reconstruction from a single X-ray

    Apr 1, 2026Wen Ma, Jiaxiang Liu, Zikai Xiao +3Dental ImagingMedical Imaging

  13. MRI-to-CT synthesis using drifting models

    Mar 30, 2026Qing Lyu, Jianxu Wang, Jeremy Hudson +2Medical Image SynthesisDrifting Models

  14. 3-D Representations for Hyperspectral Flame Tomography

    Mar 29, 2026Nicolas Tricard, Zituo Chen, Sili DengComputed TomographyImplicit Neural Representations

  15. Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rays

    Mar 27, 2026Martin Rath, Morteza Ghahremani, Yitong Li +33D ReconstructionMedical Image Synthesis

  16. DeepFAN, a transformer-based deep learning model for human-artificial intelligence collaborative assessment of incidental pulmonary nodules in CT scans: a multi-reader, multi-case trial

    Mar 26, 2026Zhenchen Zhu, Ge Hu, Weixiong Tan +16Medical Image ClassificationHuman-AI Collaboration

  17. CORA: Generalizable coronary artery disease assessment and risk stratification from coronary CT angiography using pathology-centric representation learning

    Mar 25, 2026Jinkui Hao, Gorkem Durak, Halil Ertugrul Aktas +4Synthetic Data PretrainingCoronary Angiography

  18. Curriculum-Driven 3D CT Report Generation via Language-Free Visual Grafting and Zone-Constrained Compression

    Mar 24, 2026V. K. Cody Bumgardner, Mitchell A. Klusty, Mahmut S. Gokmen +1CT Report GenerationRadiology Report Generation

  19. HUydra: Full-Range Lung CT Synthesis via Multiple HU Interval Generative Modelling

    Mar 24, 2026António Cardoso, Pedro Sousa, Tania Pereira +1Medical Image SynthesisComputed Tomography

  20. Image-Domain Poisson-Perturbation Robustness of NCCT Slice Classification

    Mar 24, 2026Rhea Ghosal, Ronok Ghosal, Eileen LouMedical Image ClassificationNeuroimaging

  21. PIVM: Diffusion-Based Prior-Integrated Variation Modeling for Anatomically Precise Abdominal CT Synthesis

    Mar 23, 2026Dinglun He, Baoming Zhang, Xu Wang +3Medical Image SynthesisComputed Tomography

  22. TAFG-MAN: Timestep-Adaptive Frequency-Gated Latent Diffusion for Efficient and High-Quality Low-Dose CT Image Denoising

    Mar 21, 2026Tangtangfang Fang, Yang Jiao, Xiangjian He +2LDCT DenoisingDiffusion Models for Image Restoration

  23. Benchmarking CNN-based Models against Transformer-based Models for Abdominal Multi-Organ Segmentation on the RATIC Dataset

    Mar 19, 2026Lukas Bayer, Sheethal Bhat, Andreas MaierMedical Image SegmentationHybrid CNN-Transformer Architectures

  24. Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation

    Mar 16, 2026Samuel Johnny, Blessed Guda, Goodness Obasi +2Group Distributionally Robust OptimizationMedical Image Classification

  25. Beyond the Embedding Bottleneck: Adaptive Retrieval-Augmented 3D CT Report Generation

    Mar 16, 2026Renjie Liang, Yiling Ma, Yang Xing +6HealthcareMultimodal RAG

  26. One CT Unified Model Training Framework to Rule All Scanning Protocols

    Mar 16, 2026Fengzhi Xu, Ziyuan Yang, Zexin Lu +4Computed TomographyImage Reconstruction

  27. A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scans

    Mar 15, 2026Aadit Nilay, Bhavesh Thapar, Anant Agrawal +1Medical Image ClassificationDomain Generalization