Brain MRI super resolution using 3D deep densely connected neural networks. - Yuhua Chen; Yibin Xie; Zhengwei Zhou; Feng Shi 001; Anthony G. Christodoulou; Debiao Li (ISBI, 2018)

Calcium removal from cardiac ct images using deep convolutional neural network. - Siming Yan; Feng Shi 001; Yuhua Chen; Damini Dey; Sang-Eun Lee; Hyuk-Jae Chang; Debiao Li; Yibin Xie (ISBI, 2018)

Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network. - Yuhua Chen; Feng Shi 001; Anthony G. Christodoulou; Yibin Xie; Zhengwei Zhou; Debiao Li (MICCAI (1), 2018)

Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking. - Yuhua Chen; Jaime L. Shaw; Yibin Xie; Debiao Li; Anthony G. Christodoulou (MICCAI (2), 2019)

MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better. - Yuhua Chen; Anthony G. Christodoulou; Zhengwei Zhou; Feng Shi 001; Yibin Xie; Debiao Li (CoRR, 2020)

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. - Qing Lyu 003; Hongming Shan; Yibin Xie; Debiao Li; Ge Wang 001 (CoRR, 2020)

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. - Qing Lyu 003; Hongming Shan; Yibin Xie; Alan C. Kwan; Yuka Otaki; Keiichiro Kuronuma; Debiao Li; Ge Wang 001 (IEEE Trans. Medical Imaging, 2021)

Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction. - Zihao Chen; Yuhua Chen; Yibin Xie; Debiao Li; Anthony G. Christodoulou (ISBI, 2022)

FedRNN: Federated Learning with RNN-Based Aggregation on Pancreas Segmentation. - Zengtian Deng; Touseef Ahmad Qureshi; Sehrish Javed; Lixia Wang; Anthony G. Christodoulou; Yibin Xie; Srinavas Gaddam; Stephen Jacob Pandol; Debiao Li (MICAD, 2022)

Segmentation of Pancreatic Subregions in Computed Tomography Images. - Sehrish Javed; Touseef Ahmad Qureshi; Zengtian Deng; Ashley Wachsman; Yaniv Raphael; Srinivas Gaddam; Yibin Xie; Stephen Jacob Pandol; Debiao Li (J. Imaging, 2022)

Alleviating the attribute conditional independence and I.I.D. assumptions of averaged one-dependence estimator by double weighting. - Limin Wang 007; Yibin Xie; Meng Pang; Junyang Wei (Knowl. Based Syst., 2022)

Roadside IRS Assisted Task Offloading in Vehicular Edge Computing Network. - Yibin Xie; Lei Shi 011; Zhehao Li 001; Xu Ding 001; Feng Liu (CollaborateCom (1), 2023)

A nonparametric online control chart for monitoring crowd density using relative density-ratio estimation. - Wenhui Zhou 001; Yibin Xie; Zhibin Zheng (Eur. J. Oper. Res., 2025)

An optimal scheme for speeding the training process of the asynchronous federated learning based on model partition. - Lei Shi 011; Ying Ren; Jing Xu; Yibin Xie; Chen Fang; Yuqi Fan 001 (Computing, 2025)

Efficient Task Offloading in Double Roadside RIS-Assisted Vehicular Edge Computing Networks Using Deep Reinforcement Learning. - Yibin Xie; Lei Shi 011; Zhehao Li 001; Xu Ding 001; Yuqi Fan 001 (IEEE Trans. Veh. Technol., 2025)