Extended ssh model: Non-local couplings and non-monotonous edge states C Li, AE Miroshnichenko Physics 1 (1), 2-16, 2018 | 39 | 2018 |
ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentation H Zhang, J Zhang, C Li, EM Sweeney, P Spincemaille, TD Nguyen, ... NeuroImage: Clinical 32, 102854, 2021 | 32 | 2021 |
Spatially Covariant Lesion Segmentation H Zhang, R Wang, J Zhang, D Liu, C Li, J Li Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 23* | 2023 |
LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping J Zhang, P Spincemaille, H Zhang, TD Nguyen, C Li, J Li, I Kovanlikaya, ... NeuroImage 268, 119886, 2023 | 11 | 2023 |
Temporal feature fusion with sampling pattern optimization for multi-echo gradient echo acquisition and image reconstruction J Zhang, H Zhang, C Li, P Spincemaille, M Sabuncu, TD Nguyen, Y Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
mcLARO: Multi‐contrast learned acquisition and reconstruction optimization for simultaneous quantitative multi‐parametric mapping J Zhang, TD Nguyen, E Solomon, C Li, Q Zhang, J Li, H Zhang, ... Magnetic Resonance in Medicine 91 (1), 344-356, 2024 | 4 | 2024 |
Physics-based network fine-tuning for robust quantitative susceptibility mapping from high-pass filtered phase J Zhang, A Dimov, C Li, H Zhang, TD Nguyen, P Spincemaille, Y Wang arXiv preprint arXiv:2305.03844, 2023 | 1 | 2023 |
Motion artifact reduction in quantitative susceptibility mapping using deep neural network C Li, H Zhang, J Zhang, P Spincemaille, TD Nguyen, Y Wang arXiv preprint arXiv:2105.01746, 2021 | 1 | 2021 |
Implicit neural representation for free-breathing MR fingerprinting (INR-MRF): co-registered 3D whole-liver water T1, water T2, proton density fat fraction, and R2* mapping C Li, J Li, J Zhang, E Solomon, AV Dimov, P Spincemaille, TD Nguyen, ... arXiv preprint arXiv:2410.15175, 2024 | | 2024 |
MRI quantification of liver fibrosis using diamagnetic susceptibility: An ex-vivo feasibility study C Li, J Zhang, AV Dimov, AKK de González, MR Prince, J Li, D Romano, ... arXiv preprint arXiv:2410.03127, 2024 | | 2024 |
Deep learning improved autofocus for motion artifact reduction and its application in quantitative susceptibility mapping C Li, J Zhang, H Zhang, J Li, P Spincemaille, TD Nguyen, Y Wang arXiv preprint arXiv:2405.16664, 2024 | | 2024 |
3D liver R2, R2* and quantitative susceptibility maps in a single breath-hold C Li, J Li, J Zhang, P Spincemaille, T Nguyen, Y Wang International Society for Magnetic Resonance in Medicine, 2023 | | 2023 |
Fast Quantitative Susceptibility Mapping with Temporal Feature Augmented and Spatiotemporal Sampling Pattern Optimized Network J Zhang, H Zhang, P Spincemaille, C Li, T Nguyen, M Sabuncu, Y Wang International Society for Magnetic Resonance in Medicine, 2022 | | 2022 |
Physics-based network fine-tuning for robust susceptibility mapping from high-pass filtered phase J Zhang, A Dimov, H Zhang, C Li, T Nguyen, P Spincemaille, Y Wang International Society for Magnetic Resonance in Medicine, 2022 | | 2022 |
High resolution 3D whole brain T1, T2, T2* and QSM mapping within 3.5 mins J Zhang, T Nguyen, E Solomon, H Zhang, C Li, A Dimov, P Spincemaille, ... International Society for Magnetic Resonance in Medicine, 2022 | | 2022 |
mcLARO: Multi-Contrast Learned Acquisition and Reconstruction Optimization for simultaneous multi-contrast and multi-parametric mapping J Zhang, T Nguyen, P Spincemaille, E Solomon, C Li, J Li, Y Wang | | |
Free-breathing 3D Stack-of-Spiral Cardiac Quantitative Susceptibility Mapping for Noninvasive Measurement of Cardiac Chamber Oxygenation J Li, P Villar-Calle, J Zhang, C Li, TD Nguyen, Y Wang, J Kim, ... | | |