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Articles published in
IEEE Trans Med Imaging
    August 2025
  1. GAO Y, Shu Y, Yu M, Chen Y, et al
    Hierarchical Contrastive Learning for Precise Whole-body Anatomical Localization in PET/CT Imaging.
    IEEE Trans Med Imaging. 2025;PP.
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    July 2025
  2. DJEBRA Y, Liu X, Marin T, Tiss A, et al
    Bayesian Posterior Distribution Estimation of Kinetic Parameters in Dynamic Brain PET Using Generative Deep Learning Models.
    IEEE Trans Med Imaging. 2025;PP.
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  3. DAN T, Huang Y, Yang Y, Wu G, et al
    Revealing Cortical Spreading Pathway of Neuropathological Events by Neural Optimal Mass Transport.
    IEEE Trans Med Imaging. 2025;44:3100-3109.
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    June 2025
  4. WEBBER G, Mizuno Y, Howes OD, Hammers A, et al
    Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction.
    IEEE Trans Med Imaging. 2025;PP.
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    May 2025
  5. CHEN T, Hou J, Zhou Y, Xie H, et al
    2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction.
    IEEE Trans Med Imaging. 2025;PP.
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  6. VAGENAS TP, Vakalopoulou M, Sachpekidis C, Dimitrakopoulou-Strauss A, et al
    Representation learning in PET scans enhanced by semantic and 3D position specific characteristics.
    IEEE Trans Med Imaging. 2025;PP.
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    April 2025
  7. POLSON L, Kurkowska S, Li C, Esquinas P, et al
    Uncertainty Propagation from Projections to Region Counts in Tomographic Imaging: Application to Radiopharmaceutical Dosimetry.
    IEEE Trans Med Imaging. 2025;PP.
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  8. LIU Y, Liu M, Zhang Y, Guan Y, et al
    Amyloid-beta Deposition Prediction With Large Language Model Driven and Task-Oriented Learning of Brain Functional Networks.
    IEEE Trans Med Imaging. 2025;44:1809-1820.
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    January 2025
  9. XIE X, Zhao W, Nan M, Zhang Z, et al
    Prompt-Agent-Driven Integration of Foundation Model Priors for Low-Count PET Reconstruction.
    IEEE Trans Med Imaging. 2025;PP.
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    December 2024
  10. ZHOU B, Hou J, Chen T, Zhou Y, et al
    POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation.
    IEEE Trans Med Imaging. 2024;PP.
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    November 2024
  11. YU Z, Rahman MA, Abbey CK, Laforest R, et al
    CTLESS: A scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT.
    IEEE Trans Med Imaging. 2024;PP.
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  12. KHAN MO, Seresti AA, Menon K, Marsden AL, et al
    Quantification and Visualization of CT Myocardial Perfusion Imaging to Detect Ischemia-Causing Coronary Arteries.
    IEEE Trans Med Imaging. 2024;43:3690-3697.
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    August 2024
  13. CARAVACA J, Bobba KN, Du S, Peter R, et al
    A Technique to Quantify Very Low Activities in Regions of Interest With a Collimatorless Detector.
    IEEE Trans Med Imaging. 2024;43:2745-2757.
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    July 2024
  14. LI Z, Benabdallah N, Laforest R, Wahl RL, et al
    Joint regional uptake quantification of thorium-227 and radium-223 using a multiple-energy-window projection-domain quantitative SPECT method.
    IEEE Trans Med Imaging. 2024;PP.
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    June 2024
  15. CUI J, Zeng P, Zeng X, Xu Y, et al
    Prior Knowledge-guided Triple-Domain Transformer-GAN for Direct PET Reconstruction from Low-Count Sinograms.
    IEEE Trans Med Imaging. 2024;PP.
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  16. HUANG B, Li T, Arino-Estrada G, Dulski K, et al
    SPLIT: Statistical Positronium Lifetime Image Reconstruction via Time-Thresholding.
    IEEE Trans Med Imaging. 2024;43:2148-2158.
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    April 2024
  17. CHEN X, Zhou B, Guo X, Xie H, et al
    DuDoCFNet: Dual-Domain Coarse-to-Fine Progressive Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT.
    IEEE Trans Med Imaging. 2024;PP.
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  18. FENG R, Wu Q, Feng J, She H, et al
    IMJENSE: Scan-Specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI.
    IEEE Trans Med Imaging. 2024;43:1539-1553.
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    February 2024
  19. WANG Z, Wu Y, Xia Z, Chen X, et al
    Non-invasive quantification of the brain [(18)F]FDG-PET using inferred blood input function learned from total-body data with physical constraint.
    IEEE Trans Med Imaging. 2024;PP.
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  20. REN Z, Sidky EY, Barber RF, Kao CM, et al
    Simultaneous activity and attenuation estimation in TOF-PET with TV-constrained nonconvex optimization.
    IEEE Trans Med Imaging. 2024;PP.
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  21. SMITH NJ, Newton DT, Gunderman D, Hutchins GD, et al
    A Comparison of Arterial Input Function Interpolation Methods for Patlak Plot Analysis of (68)Ga-PSMA-11 PET Prostate Cancer Studies.
    IEEE Trans Med Imaging. 2024;PP.
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    January 2024
  22. YANG B, Gong K, Liu H, Li Q, et al
    Anatomically Guided PET Image Reconstruction Using Conditional Weakly-Supervised Multi-Task Learning Integrating Self-Attention.
    IEEE Trans Med Imaging. 2024;PP.
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  23. JIN Y, Meng LJ
    Exploration of Coincidence Detection of Cascade Photons to Enhance Preclinical Multi-Radionuclide SPECT Imaging.
    IEEE Trans Med Imaging. 2024;PP.
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    December 2023
  24. ONISHI Y, Hashimoto F, Ote K, Ota R, et al
    Whole reconstruction-free system design for direct positron emission imaging from image generation to attenuation correction.
    IEEE Trans Med Imaging. 2023;PP.
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  25. FU M, Zhang N, Huang Z, Zhou C, et al
    OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising.
    IEEE Trans Med Imaging. 2023;PP.
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  26. CHEN Y, Pan Y, Xia Y, Yuan Y, et al
    Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis.
    IEEE Trans Med Imaging. 2023;42:3566-3578.
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    November 2023
  27. JANG SI, Pan T, Li Y, Heidari P, et al
    Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising.
    IEEE Trans Med Imaging. 2023;PP.
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  28. PARK MA, Zaha VG, Badawi RD, Bowen SL, et al
    Supplemental Transmission Aided Attenuation Correction for Quantitative Cardiac PET.
    IEEE Trans Med Imaging. 2023;PP.
    >> Share


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