Hengjie Liu

13 papers C 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
B-FIRE: Binning-Free Diffusion Implicit Neural Representation for Hyper-Accelerated Motion-Resolved MRI.
CoRR
Di Xu, Hengjie Liu, Yang Yang, Mary Feng, Jin Ning, Xin Miao, Jessica E. Scholey, Alexandra E. Hotca-cho, William C. Chen, Michael Ohliger, Martina Descovich, Huiming Dong, Wensha Yang, Ke Sheng
2026 J jnl
Zero-shot Multi-Contrast Brain MRI Registration by Intensity Randomizing T1-weighted MRI (LUMIR25).
CoRR
Hengjie Liu, Yimeng Dou, Di Xu, Xinyi Fu, Dan Ruan, Ke Sheng
2025 J jnl
Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations.
CoRR
Di Xu, Hengjie Liu, Xin Miao, Daniel O'Connor, Jessica E. Scholey, Wensha Yang, Mary Feng, Michael Ohliger, Hui Lin, Dan Ruan, Yang Yang, Ke Sheng
2025 J jnl
Evaluating the effects of nonlocality and numerical discretization in peridynamic solutions for quasi-static elasticity and fracture.
Commun. Nonlinear Sci. Numer. Simul.
Xuhao Peng, Zhikun Zhou, Hengjie Liu, Ziguang Chen
2025 J jnl
MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration.
Medical Image Anal.
Hengjie Liu, Elizabeth McKenzie, Di Xu, Qifan Xu, Robert K. Chin, Dan Ruan, Ke Sheng
2024 J jnl
High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering.
CoRR
Hengjie Liu, Ruibo Hou, Yves Lepage
2024 C conf
Leveraging Knowledge from Translation Memory for Globally and Locally Guiding Neural Machine Translation.
PACLIC
Ruibo Hou, Hengjie Liu, Yves Lepage
2024 J jnl
On the one-point quadrature discretization in peridynamics: A novel perspective from Monte Carlo integration.
Comput. Phys. Commun.
Hengjie Liu, Ziguang Chen
2024 J jnl
Paired Conditional Generative Adversarial Network for Highly Accelerated Liver 4D MRI.
CoRR
Di Xu, Xin Miao, Hengjie Liu, Jessica E. Scholey, Wensha Yang, Mary Feng, Michael Ohliger, Hui Lin, Yi Lao, Yang Yang, Ke Sheng
2024 J jnl
Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement.
CoRR
Di Xu, Xin Miao, Hengjie Liu, Jessica E. Scholey, Wensha Yang, Mary Feng, Michael Ohliger, Hui Lin, Yi Lao, Yang Yang, Ke Sheng
2024 J jnl
TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography.
CoRR
Di Xu, Yang Yang, Hengjie Liu, Qihui Lyu, Martina Descovich, Dan Ruan, Ke Sheng
2023 — conf
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Di Xu, Hengjie Liu, Dan Ruan, Ke Sheng
2023 J jnl
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer.
CoRR
Di Xu, Hengjie Liu, Dan Ruan, Ke Sheng