| SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI Q Tian, Z Li, Q Fan, JR Polimeni, B Bilgic, DH Salat, SY Huang Neuroimage 253, 119033, 2022 | 57 | 2022 |
| Factors associated with treatment response to CD19 CAR-T therapy among a large cohort of B cell acute lymphoblastic leukemia X Zhang, J Yang, J Li, W Li, D Song, XA Lu, F Wu, J Li, D Chen, X Li, Z Xu, ... Cancer Immunology, Immunotherapy 71 (3), 689-703, 2022 | 54* | 2022 |
| High‐fidelity fast volumetric brain MRI using synergistic wave‐controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network (HDnGAN) Z Li, Q Tian, C Ngamsombat, S Cartmell, J Conklin, ALMG Filho, WC Lo, ... Medical Physics 49 (2), 1000-1014, 2022 | 15 | 2022 |
| Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat) Z Li, Q Fan, B Bilgic, G Wang, W Wu, JR Polimeni, KL Miller, SY Huang, ... Medical image analysis 86, 102744, 2023 | 13 | 2023 |
| Quantifying the uncertainty of neural networks using Monte Carlo dropout for deep learning based quantitative MRI MY Avci, Z Li, Q Fan, S Huang, B Bilgic, Q Tian arXiv preprint arXiv:2112.01587, 2021 | 10 | 2021 |
| SRDTI: Deep learning-based super-resolution for diffusion tensor MRI Q Tian, Z Li, Q Fan, C Ngamsombat, Y Hu, C Liao, F Wang, K Setsompop, ... arXiv preprint arXiv:2102.09069, 2021 | 6 | 2021 |
| Structured low‐rank reconstruction for navigator‐free water/fat separated multi‐shot diffusion‐weighted EPI Y Dong, K Koolstra, Z Li, M Riedel, MJP van Osch, P Börnert Magnetic Resonance in Medicine 91 (1), 205-220, 2024 | 4 | 2024 |
| Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high‐resolution 3D diffusion MRI Z Li, KL Miller, JLR Andersson, J Zhang, S Liu, H Guo, W Wu Magnetic Resonance in Medicine 90 (4), 1484-1501, 2023 | 4 | 2023 |
| DIMOND: DIffusion Model OptimizatioN with Deep Learning. Z Li, Z Li, B Bilgic, HH Lee, K Ying, SY Huang, H Liao, Q Tian Advanced Science, 2024 | 3 | 2024 |
| Self-navigated 3D diffusion MRI using an optimized CAIPI sampling and structured low-rank reconstruction estimated navigator Z Li, K Miller, X Chen, M Chiew, W Wu IEEE Transactions on Medical Imaging, 2024 | 3* | 2024 |
| Artificial intelligence for neuro MRI acquisition: a review H Yang, G Wang, Z Li, H Li, J Zheng, Y Hu, X Cao, C Liao, H Ye, Q Tian Magnetic Resonance Materials in Physics, Biology and Medicine 37 (3), 383-396, 2024 | 1 | 2024 |
| Hybrid-space reconstruction with add-on distortion correction for simultaneous multi-slab diffusion MRI J Zhang, S Liu, E Dai, X Shao, Z Li, KL Miller, W Wu, H Guo arXiv preprint arXiv:2303.16442, 2023 | 1 | 2023 |
| Improved visualization of intracranial distal arteries with multiple 2D slice dynamic ASL‐MRA and super‐resolution convolutional neural network Y Suzuki, I Koktzoglou, Z Li, P Jezzard, T Okell Magnetic Resonance in Medicine 92 (6), 2491-2505, 2024 | | 2024 |
| Submillimeter diffusion MRI using an in-plane segmented 3D multi-slab acquisition and denoiser-regularized reconstruction Z Li, S Zhu, KL Miller, W Wu bioRxiv, 2024.10. 10.617536, 2024 | | 2024 |
| Enhance the Image: Super Resolution using Artificial Intelligence in MRI Z Li, Z Li, H Li, Q Fan, KL Miller, W Wu, AS Chaudhari, Q Tian arXiv preprint arXiv:2406.13625, 2024 | | 2024 |
| Improving the accessibility of deep learning-based denoising for MRI using transfer learning and self-supervised learning Q Tian, Z Li, WC Lo, B Bilgic, JR Polimeni, SY Huang | | |
| Noise2Average: deep learning based denoising without high-SNR training data using iterative residual learning Z Li, B Bilgic, Z Li, K Ying, JR Polimeni, S Huang, Q Tian | | |
Qiyuan TianTsinghua University, Stanford University, Massachusetts General Hospital, Harvard Medical School在 tsinghua.edu.cn 的电子邮件经过验证
