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Haikun Qi
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2020 – today
- 2025
- [j6]Haozhong Sun, Yuze Li, Zhongsen Li, Runyu Yang, Ziming Xu, Jiaqi Dou, Haikun Qi, Huijun Chen:
Fourier Convolution Block with global receptive field for MRI reconstruction. Medical Image Anal. 99: 103349 (2025) - 2024
- [j5]Yimin Luo, Qinyu Yang, Yuheng Fan, Haikun Qi, Menghan Xia:
Measurement Guidance in Diffusion Models: Insight from Medical Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7983-7997 (2024) - [c6]Jianing Geng, Zijian Zhou, Haikun Qi, Peng Hu:
Joint Optimization of K-Space Sampling and Reconstruction for Multi-Contrast MRI. ISBI 2024: 1-5 - [c5]Yang Liu, Jiameng Diao, Zijian Zhou, Haikun Qi, Peng Hu:
Cardiac Cine MRI Motion Correction Using Diffusion Models. ISBI 2024: 1-5 - [c4]Pengfang Qian, Zijian Zhou, Peng Hu, Haikun Qi:
Unified Deep Learning for Simultaneous Cardiac Cine MRI Reconstruction, Motion Estimation and Segmentation. ISBI 2024: 1-4 - [i4]Guoyan Lao, Ruimin Feng, Haikun Qi, Zhenfeng Lv, Qiangqiang Liu, Chunlei Liu, Yuyao Zhang, Hongjiang Wei:
Coordinate-Based Neural Representation Enabling Zero-Shot Learning for 3D Multiparametric Quantitative MRI. CoRR abs/2410.01577 (2024) - 2023
- [j4]Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen:
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast. IEEE Trans. Medical Imaging 42(5): 1363-1373 (2023) - [i3]Yuheng Fan, Hanxi Liao, Shiqi Huang, Yimin Luo, Huazhu Fu, Haikun Qi:
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI. CoRR abs/2311.11383 (2023) - 2022
- [c3]Pengfang Qian, Junwei Yang, Pietro Lió, Peng Hu, Haikun Qi:
Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net. MIUA 2022: 65-74 - 2021
- [j3]Yimin Luo, Sophie Majoe, Kui Jiang, Haikun Qi, Kuberan Pushparajah, Kawal S. Rhode:
Ultra-Dense Denoising Network: Application to Cardiac Catheter-Based X-Ray Procedures. IEEE Trans. Biomed. Eng. 68(9): 2626-2636 (2021) - [j2]Haikun Qi, Niccolo Fuin, Gastão Cruz, Jiazhen Pan, Thomas Küstner, Aurélien Bustin, René M. Botnar, Claudia Prieto:
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning. IEEE Trans. Medical Imaging 40(1): 444-454 (2021) - [j1]Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto:
LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 40(12): 3686-3697 (2021) - [i2]Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto:
LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging. CoRR abs/2107.09060 (2021) - [i1]Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen:
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI. CoRR abs/2111.06400 (2021) - 2020
- [c2]Thomas Küstner, Jiazhen Pan, Christopher Gilliam, Haikun Qi, Gastão Cruz, Kerstin Hammernik, Bin Yang, Thierry Blu, Daniel Rueckert, René M. Botnar, Claudia Prieto, Sergios Gatidis:
Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk. APSIPA 2020: 976-985 - [c1]Haikun Qi, Niccolo Fuin, Thomas Küstner, René M. Botnar, Claudia Prieto:
Accelerated 4D Respiratory Motion-Resolved Cardiac MRI with a Model-Based Variational Network. MICCAI (6) 2020: 427-435
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