dicheng

 

Homepage of Dicheng Chen(English, 中文)

Ph.D. candidate
 
1) Department of Electronic Science and 2) Research Center of Magnetic Resonance and Medical Imaging, Xiamen University.
 
Email: Timeisorigin@vip.qq.com
 
Computational Sensing Group, a part of Research Center of Magnetic Resonance and Medical Imaging at Xiamen University.
 
 
 



Biosketch Research interests Education Research and Teaching Experiences Selected Awards Professional Skills Recent Publications

Biosketch

Dicheng Chen is a PhD candidate of Department of Electronic Science at Xiamen University in China.


Research Interests
d

Magnetic resonance Spectral reconstruction

d Machine learning and deep learning
d

Medical image processing and analysis

Education
d Ph.D. candidate (Sept. 2019-Current) 
Advisor: Xiaobo Qu
Major : Electronics and Communication Engineering.
Xiamen University, Fujian Province, China.
d Graduate Student (Sept. 2016-June 2019)  
Advisor: Prof. Dazhi Jiang
Major : Department of Computer Science,
ShanTou University, Guangdong Province, China.
d

B.S. (Sept. 2011-June 2015) Department of Computer Science,
Guangdong Pharmaceutical University, Guangdong Province, China.

Research and Teaching Experiences
(a) Medical biological signal processing and analysis
d

Research on automatic recognition of emotional state for non-contact, unstable and long time scale physiological signals.

d

Research on multimodal physiological signals for VDT operators.

d

Research on health diagnosis based on massive sign signal data.

(b) Deep learning
d

A three-layer auto-coded neural network combining time window, empirical modal decomposition and deep learning was studied to predict the occurrence of acute hypotension.

d

In order to improve the interpretability of medical models, we studied hybrid artificial intelligence models of deep learning, multi-gene expression programming (GEP) and fuzzy expert system.

d

To study diagnosis and prognosis of cancer based on cell distribution characteristics.

Selected Wards
d

2018, The Second prize in China, National "teddy cup" data analysis vocational skills contest.

2015, The Third prize in Guangdong Province in China, National contest in mathematical modeling for college students.

Professional Skills
(a) Medical biological signal processing
Biological blood pressure signal processing.
Magnetic resonance Spectral processing.
(b) Deep learning

Deep learning framework: tensorflow, torch.

Mastered programming languages: Python, Matlab.

Recent Publications
(a) Journal paper
d

G. Xiao, A. Garg, D. Chen*, D. Jiang*, W. Shu and X. Xu, "AHE Detection With a Hybrid Intelligence Model in Smart Healthcare," in IEEE Access, vol. 7, pp. 37360-37370, 2019. (SCI, JCR 2, IF 4.1).