Personal Profile

Academic Degrees

1999.11 - 1999.9

Teesside University, UK  Doctorate in Electronic Engineering and Computer Science

1986.9 - 1989.5

Huazhong University of Technology- Computer Software and Theory -master 's degree  

1979.9 - 1983.7

Huazhong Institute of Technology - Bachelor’s Degree in Computer Science

Professional Experience

2005.3 - Now

Huazhong University of Science and Technology - School of Computer Science and Technology - Professor, doctoral supervisor - engaged in teaching and scientific research in the fields of image processing, artificial intelligence, health big data analysis, etc

2001.10 - 2005.2

University of California at San Francisco - Department of Radiology - Medical Imaging Specialist - Research on Medical image processing algorithms

1999.10 - 2001.9

University of California at San Francisco - Department of Radiology - Postdoctoral fellow - engaged in medical image processing research

1995.9 - 1996.10

University of Texas at San Antonio - Department of Electrical Engineering - Visiting scholar - engaged in fast algorithm research

1989.9 - 1995.8

Huazhong University of Science and Technology - Department of Computer Science and Technology- Lecturer/Associate Professor - Engaged in teaching and research of computer science

1983.7 - 1989.8

Air Force Radar Academy - Computer Teaching and Research Department - assistant professor - engaged in teaching and research of computer science

Courses Taught

Discrete Mathematics, Linear Algebra, Digital Logic, Multimedia Technology Foundation, Sensor Principle and Application

Awards and Honors

[1] As the person in charge, he won the following awards:

[2] Second prize of Science and Technology Progress Award of Hubei Province

[3] First prize of Outstanding Paper in Natural Scienceof Hubei Province

[4] Silver Medal at the Geneva International Exhibition of Inventions

[5] Gold Medal at China National Invention Exhibition

Selected Projects Funded

As the principal investigator, he has completed the following projects:

[1] The National Natural Science Foundation of China (NSFC) Project “Research on Prostate Biopsy Sampling Method Assisted by 3D Tumor Probability Mapping” (Project number: 60542003), which was concluded in February 2007;

[2] National High-tech Research and Development “863” project “Digital Medical Decision Support System Based on Grid” (project No. 2006AA02Z347), which has been concluded in September 2009;

[3] International cooperation project “Medical Image Feature Quantitative Analysis System” (Project No. 2009DFA12290), Completed in October 2011;

[4] The project of National Natural Science Foundation of China, “Non-rigid Registration Method of Multimodal Heart Images Based on Hetero-directional Features” (Project number: 61075010), which has been concluded in February 2014;

[5] “Image Monitoring System”, sub-project of “Research on Intelligent Space Biological Module Platform Technology and Device”, Civil aerospace Project of the State Administration of Science, Technology and Industry for National Defense, completed in December 2008;

[6] The project of Ministry of Education and Guangdong Province, “Development of Equipment for Quantitative Analysis of Liver Disease Severity Based on B-ultrasound Images”,  completed in December 2008.

In addition, in recent years, we have been cooperating with Shanghai United Imaging Healthcare Co., Ltd. and its subsidiaries to carry out research on image processing algorithms for high-end imaging equipment.

Selected Publications

[1] Zhan B, Song E, Liu H, et al. CFNet: A medical image segmentation method using the multi-view attention mechanism and adaptive fusion strategy[J]. Biomedical Signal Processing and Control, 2022, 79: 104112.

[2] Liu H, Cao H, Song E, Ma G, Xu X, Jin R, Liu T, Liu L, Liu D, Hung CC. A new data augmentation method based on local image warping for medical image segmentation. Med Phys. 2021 Apr;48(4):1685-1696.

[3] Jin L., Song E., Zhang W., Denoising Color Images Based on Local Orientation Estimation and CNN Classifier (2020) Journal of Mathematical Imaging and Vision, 62 (4), pp. 505-531.

[4] Liu H, Xu L, Song E, Jin R, Hung C., Automatic labelling of brain tissues in MR images through spatial indexes-based hybrid atlas forest. IET Image Processing. (2020), 14(12)2728-2736.

[5] Song E., Qian Y., Liu H., Yan M., Song H., Hung C.-C. ，A target-oriented segmentation method for specific tissues in MRI images of the brain (2019) Multimedia Tools and Applications, 78 (7), pp. 9083-9099.

[6] Song E., Yu F., Li Y., Liu H., Wan Y., Hung C.-C.，An Image-guided Endoscope System for the Ureter Detection. (2018) Mobile Networks and Applications, 23 (6), pp. 1655-1668.

Professional Affiliations

Research Group

CBIB

Description of Research Group:CBIB, Huazhong University of Science and Technology, is a member of the “Key Laboratory of Image Information Processing and Intelligent Control of the Ministry of Education”. It is a professional research institution engaged in the research of medical image processing and analysis. There are 4 professors, 2 associate professors and more than 40 doctoral students. In recent years, CBIB has undertaken and completed the National Natural Science Foundation project “Research on Non-rigid Registration Method of Multimodal Heart Images Based on Heteroelement Orientation Characteristics”, the National 863 program target-oriented project “Grid based Digital Medical Decision Support System”, The International Science and Technology Cooperation Key Project “Medical Image Quantitative Analysis System” of the Ministry of Science and Technology, the industry-university-research combination project of the Ministry of Education and Guangdong Province, “Development of Equipment for Quantitative Analysis of Liver Disease Severity Based on B-ultrasound Images”, the sub-projects of the National Support Program “Case Study of Application of True Stereoscopic Display Technology in the Field of Digital Medicine and its Special Technical Requirements” and “Study of Precise Stereoscopic Radiotherapy Planning System Based on Monte Carlo Method and Image Guided Positioning”. Some of the research results have been applied in domestic high-end imaging equipment. Some have won prizes in international and domestic invention exhibitions, and some have won provincial-level Science and Technology Progress Awards.

Enrollment Information

Personal Homepage

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