LDCT Denoising

LDCT: Low-Dose Computed Tomography

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1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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

    Sep 30, 2026Fabio MattiussiImage Quality AssessmentComputed Tomography

    EOC

  2. 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

  3. ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising

    Aug 11, 2026Minwoo Yu, N. Robert Bennett, Jongduk Baek +1Dynamic ConvolutionComputed Tomography

    Department of Artificial Intelligence, Yonsei University, South Korea · Department of Radiology, Stanford University, Stanford, CA 94305 USA · Department of Radiology and the Department of Electrical Engineering, Stanford University, Stanford, CA 94305 USA

  4. GenDiff: A Dose and Anatomy Aware Diffusion Model with Structural Prior Refinement for Low-Dose CT Reconstruction and Generalization

    Jul 11, 2026Md Imam Ahasan, Guangchao Yang, A F M Abdun Noor +3Domain GeneralizationImage Reconstruction

    College of Computer Science, Chongqing University, Chongqing, China · Department of Software Engineering, Daffodil International University, Bangladesh · Faculty of Information Science & Technology, Multimedia University, Malaysia

  5. ProSAC-CT: Progressive Spectral-Anatomical Co-Guided Multi-Stage Diffusion Model for Low-Dose CT Denoising

    Jul 2, 2026Xuepeng Liu, Zetong Liu, Renyiming Li +5Diffusion Models for Image RestorationDiffusion Model Guidance

    College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China · State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou 510060, China · AI Lab, Tohoku University Hospital, Sendai, Miyagi, Japan +1

  6. DeVAR: Low-Dose CT Denoising via Visual Autoregressive Modeling

    Jun 26, 2026Xizhuo Zhang, Yannian Gu, Zhongzhen Huang +2Visual Autoregressive ModelsComputed Tomography

    Shanghai Jiao Tong University, China · SenseTime Research, China · Shanghai Innovation Institute, China

  7. FrequencyCT: Frequency Domain Self-supervised Low-dose CT Denoising

    May 11, 2026Guoquan Wei, Liu Shi, Chong Chen +1Self-Supervised Image DenoisingSelf-Supervised Learning

    School of Information Engineering, Nanchang University, Nanchang 330031, China · SKLMS, ICMSEC, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

  8. Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT

    May 1, 2026Johannes B. Thalhammer, Lorenzo D'Amico, Lucy Costello +11Self-Supervised Image DenoisingComputed Tomography

    Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, TU Munich · Munich Institute of Biomedical Engineering, TU Munich · Institute for Diagnostic and Interventional Radiology, TUM Klinikum +3

  9. Unsupervised Denoising of Real Clinical Low Dose Liver CT with Perceptual Attention Networks

    May 1, 2026Zhilin Guan, Wei ZhangComputed TomographyLDCT Denoising

    Department of Computing Harbin Institute of Technology Harbin, China

  10. FoundDiff: Foundational Diffusion Model for Generalizable Low-Dose CT Denoising

    Aug 24, 2025Zhihao Chen, Qi Gao, Zilong Li +4Diffusion Models for Image RestorationMedical Imaging Foundation Models

    Institute of Science and Technology for Brain-inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China · Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai 200433, China · School of Cyber Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China +1