Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer. - Di Xu; Hengjie Liu; Dan Ruan; Ke Sheng (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Paired Conditional Generative Adversarial Network for Highly Accelerated Liver 4D MRI. - Di Xu; Xin Miao; Hengjie Liu; Jessica E. Scholey; Wensha Yang; Mary Feng; Michael Ohliger; Hui Lin; Yi Lao; Yang Yang; Ke Sheng (CoRR, 2024)

High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering. - Hengjie Liu; Ruibo Hou; Yves Lepage (CoRR, 2024)

TomoGRAF: A Robust and Generalizable Reconstruction Network for Single-View Computed Tomography. - Di Xu; Yang Yang; Hengjie Liu; Qihui Lyu; Martina Descovich; Dan Ruan; Ke Sheng (CoRR, 2024)

Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement. - Di Xu; Xin Miao; Hengjie Liu; Jessica E. Scholey; Wensha Yang; Mary Feng; Michael Ohliger; Hui Lin; Yi Lao; Yang Yang; Ke Sheng (CoRR, 2024)

On the one-point quadrature discretization in peridynamics: A novel perspective from Monte Carlo integration. - Hengjie Liu; Ziguang Chen (Comput. Phys. Commun., 2024)

Evaluating the effects of nonlocality and numerical discretization in peridynamic solutions for quasi-static elasticity and fracture. - Xuhao Peng; Zhikun Zhou; Hengjie Liu; Ziguang Chen (Commun. Nonlinear Sci. Numer. Simul., 2025)

MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration. - Hengjie Liu; Elizabeth McKenzie; Di Xu; Qifan Xu; Robert K. Chin; Dan Ruan; Ke Sheng (Medical Image Anal., 2025)

Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations. - 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 (CoRR, 2025)