Dicheng Chen

According to our database, Dicheng Chen authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

Comparative evaluation of a deep learning method QNet and LCModel for MRS quantification on the cloud computing platform CloudBrain-MRS.

Meijin Lin, Lin Guo, Dicheng Chen, Jianshu Chen, Zhangren Tu, Xu Huang, Jianhua Wang, Ji Qi, Yuan Long, Zhiguo Huang, Di Guo, Xiaobo Qu, Haiwei Han

BMC Medical Imaging, December, 2026

2025

A Dynamics Theory of RMSProp-Based Implicit Regularization in Deep Low-Rank Matrix Factorization.

Jian Cao, Chen Qian, Yihui Huang, Dicheng Chen, Yuncheng Gao, Jiyang Dong, Di Guo, Xiaobo Qu

IEEE Trans. Neural Networks Learn. Syst., October, 2025

An artificially intelligent magnetic resonance spectroscopy quantification method: Comparison between QNet and LCModel on the cloud computing platform CloudBrain-MRS.

Meijin Lin, Lin Guo, Dicheng Chen, Jianshu Chen, Zhangren Tu, Xu Huang, Jianhua Wang, Ji Qi, Yuan Long, Zhiguo Huang, Di Guo, Xiaobo Qu, Haiwei Han

CoRR, March, 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

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

2022

Spatiotemporal Flexible Sparse Reconstruction for Rapid Dynamic Contrast-Enhanced MRI.

Yuhan Hu, Xinlin Zhang, Dicheng Chen, Zhiping Yan, Xiaoyong Shen, Gen Yan, Lin Ou-yang, Jianzhong Lin, Jiyang Dong, Xiaobo Qu

IEEE Trans. Biomed. Eng., 2022

A Dynamics Theory of Implicit Regularization in Deep Low-Rank Matrix Factorization.

Jian Cao, Chen Qian, Yihui Huang, Dicheng Chen, Yuncheng Gao, Jiyang Dong, Di Guo, Xiaobo Qu

CoRR, 2022

2021

Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data.

Wanqi Hu, Dicheng Chen, Tianyu Qiu, Hao Chen, Xi Chen, Lin Yang, Gen Yan, Di Guo, Xiaobo Qu

CoRR, 2021

A computational model of emotion based on audio-visual stimuli understanding and personalized regulation with concurrency.

Dazhi Jiang, Donghui Jin, Jiaxi Zhuang, Daqiang Tan, Dicheng Chen, Yujie Liang

Concurr. Comput. Pract. Exp., 2021

2020

Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy.

Dicheng Chen, Zi Wang, Di Guo, Vladislav Orekhov, Xiaobo Qu

CoRR, 2020

2019

AHE Detection With a Hybrid Intelligence Model in Smart Healthcare.

Guorong Xiao, Akhil Garg, Dicheng Chen, Dazhi Jiang, Wanneng Shu, Xuemiao Xu

IEEE Access, 2019