Xuanyu Tian (田烜宇)

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I am a 4-th year Ph.D. candicate in SMILE Lab:smiley: at ShanghaiTech University (Shanghai, China), advised by Prof. Yuyao Zhang. Before that, I received my B.E. degree of Computer Science and Technology from Wuhan University of Technology in 2021.

I am dedicated to explore solving medical inverse problems within a scarce data and low SNR scenarios. Currently, my research focuses on:

  • CT/MRI Undersampled Reconstruction
  • Motion Correction and Motion Tracking
  • Self-supervised Image Restoration
  • Diffusion Models

See more in the detailed CV.

News

Feb 12, 2025 Our paper “Moner” will be presented as a Spotlight at ICLR 2025 :tada:
Feb 9, 2025 One paper about motion correction and coil sensitivity of parallel mri was accepted by Medical Image Analysis :tada:
Jan 22, 2025 One paper was accepted by The 13th International Conference on Learning Representations ICLR 2025 :tada:
Jan 4, 2025 Two paper were accepted by IEEE ISBI 2025 :tada:
Dec 27, 2024 One paper about high-dimensional MRI denoising was accepted by the Biomedical Signal Processing and Control (BSPC) :tada:
Dec 10, 2024 One paper about unsupervised sparse-view CT reconstruction was accepted by the 39th Annual AAAI Conference on Artificial Intelligence AAAI 2025 :tada:
Nov 29, 2024 One paper was accepted by Medical Image Analysis :tada:
Oct 6, 2024 I attended MICCAI 2024 at Marrakech in Morocco. A Legendary Journey :smiley:
Sep 5, 2024 One paper was accepted by IEEE Transactions on Compuational Imaging (IEEE TCI) :tada:
May 14, 2024 One paper was accepted by MICCAI 2024 :tada:
Feb 3, 2024 One paper was accepted by IEEE ISBI 2024 :tada:
Mar 2, 2023 One paper was accepted by IEEE ISBI 2023 :tada:
Sep 18, 2022 One paper was accepted by MICCAI 2022 :tada:
Sep 1, 2021 Join SMILE lab at ShanghaiTech University :sparkles:

Selected Publications

* denotes the co-first author
  1. MedIA 2025

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    Joint coil sensitivity and motion correction in parallel MRI with a self-calibrating score-based diffusion model
    Lixuan Chen*Xuanyu Tian*Jiangjie Wu, Ruimin Feng, Guoyan Lao, Yuyao Zhang, Hongen Liao, and Hongjiang Wei
    Medical Image Analysis 2025
  2. AAAI 2025

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    Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction
    Xuanyu TianLixuan ChenQing Wu, Chenhe Du, Jingjing Shi, Hongjiang Wei, and Yuyao Zhang
    Proceedings of the AAAI Conference on Artificial Intelligence 2025
  3. ICLR 2025

    Spotlight

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    Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation
    Qing Wu*, Chenhe Du*,  Xuanyu Tian, Jingyi Yu, Yuyao Zhang, and Hongjiang Wei
    The 13th International Conference on Learning Representations 2025
  4. MedIA 2024

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    COLLATOR: Consistent spatial-temporal longitudinal atlas construction via implicit neural representation
    Lixuan Chen*Xuanyu Tian*Jiangjie Wu, Guoyan Lao, Yuyao Zhang, and Hongjiang Wei
    Medical Image Analysis 2024
  5. IEEE TCI 2024

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    Zero-Shot Image Denoising for High-Resolution Electron Microscopy
    Xuanyu Tian, Zhuoya Dong, Xiyue Lin, Yue Gao, Hongjiang Wei, Yanhang Ma, Jingyi Yu, and Yuyao Zhang
    IEEE Transactions on Computational Imaging 2024
  6. MICCAI 2022

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    Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image
    Xuanyu TianQing WuHongjiang Wei, and Yuyao Zhang
    Medical Image Computing and Computer Assisted Intervention 2022