Characterization of Dysfunction in Left and Right Temporal Lobes of Anxiety Patients: Using Spatiotemporal Lyapunov Exponent. - Hongjian He; Xiaoping Xie; Feiyan Chen; Xiaohu Zhao (ISBI, 2007)

A geometric view of global signal confounds in resting-state functional MRI. - Hongjian He; Thomas T. Liu (NeuroImage, 2012)

Squeezed Trajectory Design for Peak RF and Integrated RF Power Reduction in Parallel Transmission MRI. - Qing Li 009; Congyu Liao; Huihui Ye; Ying Chen; Xiaozhi Cao; Lisha Yuan; Hongjian He; Jianhui Zhong (IEEE Trans. Medical Imaging, 2018)

Fast and Robust Diffusion Kurtosis Parametric Mapping Using a Three-Dimensional Convolutional Neural Network. - Zhiwei Li; Ting Gong; Zhichao Lin; Hongjian He; Qiqi Tong; Chen Li; Yi Sun; Feng Yu 003; Jianhui Zhong (IEEE Access, 2019)

MTE-NODDI: Multi-TE NODDI for disentangling non-T2-weighted signal fractions from compartment-specific T2 relaxation times. - Ting Gong; Qiqi Tong; Hongjian He; Yi Sun; Jianhui Zhong; Hui Zhang (NeuroImage, 2020)

Evaluation of the diffusion MRI white matter tract integrity model using myelin histology and Monte-Carlo simulations. - Zihan Zhou 009; Qiqi Tong; Lei Zhang; Qiuping Ding; Hui Lu; Laura E. Jonkman; Junye Yao; Hongjian He; Keqing Zhu; Jianhui Zhong (NeuroImage, 2020)

Reconstruction Of Quantitative Susceptibility Maps From Phase Of Susceptibility Weighted Imaging With Cross-Connected Ψ-Net. - Zhiyang Lu; Jun Li; Zheng Li; Hongjian He; Jun Shi 004 (ISBI, 2021)

A Deep Learning Approach Based on Feature Reconstruction and Multi-dimensional Attention Mechanism for Drug-Drug Interaction Prediction. - Jiang Xie 003; Jiaming Ouyang; Chang Zhao; Hongjian He; Xin Dong (ISBRA, 2021)

Convolutional neural network optimizes the application of diffusion kurtosis imaging in Parkinson's disease. - Junyan Sun; Ruike Chen; Qiqi Tong; Jinghong Ma; Linlin Gao; Jiliang Fang; Dongling Zhang; Piu Chan; Hongjian He; Tao Wu (Brain Informatics, 2021)

Unified Style Transfer. - Guanjie Huang; Hongjian He; Xiang Li; Xingchen Li; Ziang Liu 007 (CoRR, 2021)

Meta-Learning Based Interactively Connected Clique U-Net for Quantitative Susceptibility Mapping. - Zheng Li; Jun Li; Chaoyue Wang; Zhiyang Lu; Jun Wang 024; Hongjian He; Jun Shi 004 (IEEE Trans. Computational Imaging, 2021)

Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint. - Yi Xue; Wenjian Qin; Chen Luo; Pengfei Yang; Yangkang Jiang; Tiffany Tsui; Hongjian He; Li Wang 033; Jiale Qin; Yaoqin Xie; Tianye Niu (IEEE Trans. Medical Imaging, 2021)

STE-COVIDNet: A Multi-channel Model with Attention Mechanism for Time Series Prediction of COVID-19 Infection. - Hongjian He; Xinwei Lu; Dingkai Huang; Jiang Xie 003 (ICIC (2), 2022)

Preoperative CT and Intraoperative CBCT Image Registration and Evaluation in Robotic Cochlear Implant Surgery. - Chenxi Lu; Bo Dong; Xi Hu; Yang Zhao; Hongjian He; Jing Wang (MIUA, 2022)

Single-shot multi-parametric mapping based on multiple overlapping-echo detachment (MOLED) imaging. - Lingceng Ma; Jian Wu 001; Qinqin Yang; Zihan Zhou 009; Hongjian He; Jianfeng Bao; Lijun Bao; Xiaoyin Wang; Pujie Zhang; Jianhui Zhong; Congbo Cai; Shuhui Cai; et al. (NeuroImage, 2022)

A deep learning-based multisite neuroimage harmonization framework established with a traveling-subject dataset. - Dezheng Tian; Zilong Zeng; Xiaoyi Sun; Qiqi Tong; Huanjie Li; Hongjian He; Jia-Hong Gao 001; Yong He 002; Mingrui Xia (NeuroImage, 2022)

S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping. - Zhiyang Lu; Jun Li; Chaoyue Wang; Rongjun Ge; Lili Chen; Hongjian He; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2022)

MOdel-Based SyntheTic Data-Driven Learning (MOST-DL): Application in Single-Shot T2 Mapping With Severe Head Motion Using Overlapping-Echo Acquisition. - Qinqin Yang; Yanhong Lin; Jiechao Wang; Jianfeng Bao; Xiaoyin Wang; Lingceng Ma; Zihan Zhou 009; Qizhi Yang; Shuhui Cai; Hongjian He; Congbo Cai; Jiyang Dong; et al. (IEEE Trans. Medical Imaging, 2022)

Small molecule drug and biotech drug interaction prediction based on multi-modal representation learning. - Dingkai Huang; Hongjian He; Jiaming Ouyang; Chang Zhao; Xin Dong; Jiang Xie 003 (BMC Bioinform., 2022)

Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net. - Zheng Li; Shihui Ying; Jun Wang 024; Hongjian He; Jun Shi 004 (IEEE J. Biomed. Health Informatics, 2023)

Remote Sensing Retrieval of Cloud Top Height Using Neural Networks and Data from Cloud-Aerosol Lidar with Orthogonal Polarization. - Yinhe Cheng; Hongjian He; Qiangyu Xue; Jiaxuan Yang; Wei Zhong; Xinyu Zhu; Xiangyu Peng (Sensors, 2024)

MSFF-MA-DDI: Multi-Source Feature Fusion with Multiple Attention blocks for predicting Drug-Drug Interaction events. - Qi Jin; Jiang Xie 003; Dingkai Huang; Chang Zhao; Hongjian He (Comput. Biol. Chem., 2024)

An Improved Remote Sensing Retrieval Method for Elevated Duct in the South China Sea. - Yinhe Cheng; Mengling Zha; Wenli Qiao; Hongjian He; Shuwen Wang; Shengxiang Wang; Xiaoran Li; Weiye He (Remote. Sens., 2024)