Publications

(2025). Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-masked Mamba. Medical Image Analysis.

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(2024). The Effects of Field Strength on Stimulated Echo and Motion-compensated Spin-echo Diffusion Tensor Cardiovascular Magnetic Resonance Sequences. Journal of Cardiovascular Magnetic Resonance.

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(2024). Data- and Physics-driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies. IEEE Reviews in Biomedical Engineering.

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(2024). When AI Eats Itself: On the Caveats of Data Pollution in the Era of Generative AI. arXiv.

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(2024). Low-rank based Motion Correction followed by Automatic Frame Selection in DT-CMR. The International Society for Magnetic Resonance in Medicine (ISMRM) 2024.

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(2024). HAMLET: Graph Transformer Neural Operator for Partial Differential Equations. Forty-first International Conference on Machine Learning.

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(2024). High-resolution Reference Image Assisted Volumetric Super-resolution of Cardiac Diffusion Weighted Imaging. Medical Imaging 2024: Image Processing.

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(2024). Efficient Post-processing of Diffusion Tensor Cardiac Magnetic Imaging Using Texture-conserving Deformable Registration. Medical Imaging 2024: Clinical and Biomedical Imaging.

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(2024). Optimized Post-processing for Diffusion Tensor CMR with Texture-preserving Deformable Motion Correction. Journal of Cardiovascular Magnetic Resonance.

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(2024). Is Attention all You Need in Medical Image Analysis? A Review. IEEE Journal of Biomedical and Health Informatics.

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(2024). Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study. Scientific Reports.

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(2024). A Comparison of Diffusion Tensor CMR at 1.5T and 3T. Journal of Cardiovascular Magnetic Resonance.

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(2024). The Missing U for Efficient Diffusion Models. Transactions on Machine Learning Research.

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(2024). Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024.

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(2024). Enhanced DTCMR with Cascaded Alignment and Adaptive Diffusion. IEEE Transactions on Medical Imaging.

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(2024). Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024.

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(2023). Style Transfer and Self-Supervised Learning Powered Myocardium Infarction Super-Resolution Segmentation. 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM).

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(2023). Hybrid Swin Deformable Attention U-Net for Medical Image Segmentation. 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM).

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(2023). CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023.

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(2023). Beyond U: Making Diffusion Models Faster & Lighter.

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(2023). ViGU: Vision GNN U-Net for fast MRI. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

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(2022). Swin transformer for fast MRI. Neurocomputing.

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(2022). Fast MRI Reconstruction: How Powerful Transformers Are?. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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(2022). Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers. arXiv.

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(2022). Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022.

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(2022). Generative Adversarial Network Powered Fast Magnetic Resonance Imaging—Comparative Study and New Perspectives. Generative Adversarial Learning: Architectures and Applications.

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(2022). Edge-enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information. Applied Intelligence.

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(2022). CS$^2$: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022.

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(2021). Transfer Learning Enhanced Generative Adversarial Networks for Multi-channel MRI Reconstruction. Computers in Biology and Medicine.

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(2021). Tiny Camera Detection Technology based on Hyper-spectral Imaging Technology. Journal of Applied Optics.

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(2021). Improved YOLOv3 Model for Miniature Camera Detection. Optics and Laser Technology.

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(2021). FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-resolution. Computerized Medical Imaging and Graphics.

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