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2020 – today
- 2024
[j4]Wenxin Wang
, Zhuo-Xu Cui, Guanxun Cheng, Chentao Cao, Xi Xu, Ziwei Liu, Haifeng Wang, Yulong Qi, Dong Liang, Yanjie Zhu:
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection. IEEE J. Biomed. Health Informatics 28(6): 3534-3544 (2024)- [j3]Chentao Cao, Zhuo-Xu Cui, Yue Wang, Shaonan Liu, Taijin Chen, Hairong Zheng, Dong Liang, Yanjie Zhu:
High-Frequency Space Diffusion Model for Accelerated MRI. IEEE Trans. Medical Imaging 43(5): 1853-1865 (2024) - [c1]Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han:
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection. ICML 2024 - [i11]Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han:
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection. CoRR abs/2406.00806 (2024) - 2023
- [j2]Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang:
K-UNN: k-space interpolation with untrained neural network. Medical Image Anal. 88: 102877 (2023) - [j1]Yuanyuan Liu, Dong Liang, Zhuo-Xu Cui, Yuxin Yang, Chentao Cao, Qingyong Zhu, Jing Cheng, Caiyun Shi, Haifeng Wang, Yanjie Zhu:
Accelerating Magnetic Resonance T1ρ Mapping Using Simultaneously Spatial Patch-Based and Parametric Group-Based Low-Rank Tensors (SMART). IEEE Trans. Medical Imaging 42(8): 2247-2261 (2023) - [i10]Zhuo-Xu Cui, Chentao Cao, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu:
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI. CoRR abs/2304.05060 (2023) - [i9]Zhuo-Xu Cui, Congcong Liu, Chentao Cao, Yuanyuan Liu, Jing Cheng, Qingyong Zhu, Yanjie Zhu, Haifeng Wang, Dong Liang:
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI. CoRR abs/2305.02509 (2023) - [i8]Taofeng Xie, Chentao Cao, Zhuoxu Cui, Yu Guo, Caiying Wu, Xuemei Wang, Qingneng Li, Zhanli Hu, Tao Sun, Ziru Sang, Yihang Zhou, Yanjie Zhu, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang:
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model. CoRR abs/2305.03901 (2023) - [i7]Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan, Chentao Cao, Jing Cheng, Qingyong Zhu, Yuanyuan Liu, Sen Jia, Yihang Zhou, Haifeng Wang, Yanjie Zhu, Jianping Zhang, Qiegen Liu, Dong Liang:
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation. CoRR abs/2308.15918 (2023) - [i6]Wenxin Wang, Zhuo-Xu Cui, Guanxun Cheng, Chentao Cao, Xi Xu, Ziwei Liu, Haifeng Wang, Yulong Qi, Dong Liang, Yanjie Zhu:
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection. CoRR abs/2311.03074 (2023) - 2022
- [i5]Chentao Cao, Zhuo-Xu Cui, Qingyong Zhu, Dong Liang, Yanjie Zhu:
PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging. CoRR abs/2205.04073 (2022) - [i4]Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu:
High-Frequency Space Diffusion Models for Accelerated MRI. CoRR abs/2208.05481 (2022) - [i3]Zhuo-Xu Cui, Chentao Cao, Shaonan Liu, Qingyong Zhu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang:
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction. CoRR abs/2209.00835 (2022) - [i2]Taofeng Xie, Chentao Cao, Zhuoxu Cui, Fanshi Li, Zidong Wei, Yanjie Zhu, Ye Li, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang:
Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields. CoRR abs/2211.08901 (2022) - [i1]Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong Liang, Yanjie Zhu:
SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for Vessel Wall imaging. CoRR abs/2212.11274 (2022)
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