Liangjie Lin

According to our database, Liangjie Lin authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Pancreatic fat deposition as a mediator of adrenal gland volume and type 2 diabetes: evidence from MRI.

Qinhe Zhang, Ziting Zhang, Siqi Wang, Yuhui Liu, Liangjie Lin, Jing Peng, Ailian Liu

BMC Medical Imaging, December, 2026

Ultrafast Simultaneous T₁, T₂, T₂^*, PD, ΔB₀, and B₁ Mapping via Longitudinal Magnetization Controlled MOLED Acquisition.

Weikun Chen, Taishan Kang, Qing Lin, Xinyu Guo, Jian Wu, Simin Li, Yuchen Zheng, Jianzhong Lin, Liangjie Lin, Jiazheng Wang, Xiaobo Qu, Zhong Chen, Shuhui Cai, Congbo Cai

IEEE Trans. Biomed. Eng., February, 2026

Rapid multi-parametric quantitative MRI via deep learning-based synthetic-to-real reconstruction and 3D SSFP-MOLED imaging.

Jingying Yang, Liuhong Zhu, Kai Xiong, Jianfeng Bao, Qinqin Yang, Weikun Chen, Taishan Kang, Jianjun Zhou, Jianzhong Lin, Liangjie Lin, Zhong Chen, Shuhui Cai, Congbo Cai

NeuroImage, 2026

2025

CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer.

Wenjun Hu, Liangjie Lin, Changjun Ma, Anliang Chen, Zhongbao Luo, Ziming Zhang, Ailian Liu

BMC Medical Imaging, December, 2025

Reproducibility assessment of magnetic resonance spectroscopy of pregenual anterior cingulate cortex across sessions and vendors via the cloud computing platform CloudBrain-MRS.

Runhan Chen, Meijin Lin, Jianshu Chen, Liangjie Lin, Jiazheng Wang, Xiaoqing Li, Jianhua Wang, Xu Huang, Ling Qian, Shaoxing Liu, Yuan Long, Di Guo, Xiaobo Qu, Haiwei Han

NeuroImage, 2025

2024

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal.

Dicheng Chen, Meijin Lin, Huiting Liu, Jiayu Li, Yirong Zhou, Taishan Kang, Liangjie Lin, Zhigang Wu, Jiazheng Wang, Jing Li, Jianzhong Lin, Xi Chen, Di Guo, Xiaobo Qu

IEEE Trans. Biomed. Eng., June, 2024

2023

A blockchain-based privacy-preserving advertising attribution architecture: Requirements, design, and a prototype implementation.

Yang Liu, Liangjie Lin, Lin Jiang, Weizhe Zhang, Xuan Wang, Mehdi Gheisari, Tao Gong, Chao Gao, Hamid Esmaeili Najafabadi

Softw. Pract. Exp., August, 2023

Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data.

Dicheng Chen, Wanqi Hu, Huiting Liu, Yirong Zhou, Tianyu Qiu, Yihui Huang, Zi Wang, Meijin Lin, Liangjie Lin, Zhigang Wu, Jiazheng Wang, Hao Chen, Xi Chen, Gen Yan, Di Guo, Jianzhong Lin, Xiaobo Qu

IEEE Trans. Computational Imaging, 2023

Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Overall Macromolecular Signal.

Dicheng Chen, Meijin Lin, Huiting Liu, Jiayu Li, Yirong Zhou, Taishan Kang, Liangjie Lin, Zhigang Wu, Jiazheng Wang, Jing Li, Jianzhong Lin, Xi Chen, Di Guo, Xiaobo Qu

CoRR, 2023

2021

A Blockchain-based Privacy-Preserving Recommendation Mechanism.

Liangjie Lin, Yuchen Tian, Yang Liu

Proceedings of the 5th IEEE International Conference on Cryptography, Security and Privacy, 2021