Organization profile

Organisation profile

Brief History The Institute of Medical Informatics (IMI) at National Cheng Kung University is the first high-ranking academic institute that combines information technology with medical research in southern Taiwan. IMI began its operation with the establishment of MS program in August 2006. The aims of IMI are the integration of information technology and medical research, the nurture of talents in medical information, and the development of the oncoming medical informatics’ industry. Developing Directions The fundamental knowledge and technology of computer science and information engineering have been well developed. Thus, the challenge and goal will be “application and service” in the 21st century. In order to follow this trend, IMI will devote to the cultivation of information engineering talents as well as in the research and development of technology related to medical informatics’ software and hardware. IMI will make use of its research facilities to provide services to the industrial and business sectors and the government, establish communication channels between the academic circle and the industrial and business sector. It is intended to help industries and businesses upgrade their levels in hopes to further increasing national and global competitiveness. We also expect and aim to advance our institute to be an international first-class academic palace under the support of the Program for Promoting Academic Excellence of Universities of MOE. Research The research domains and application areas of Institute of Medical Informatics (IMI) are very diverse and varied. In the starting stage of IMI, we focus on the following topics and directions: ◾Medical signal processing ◾Medical information processing ◾Bio informatics ◾Medical information networking ◾Medical information embedded systems ◾Medical information system design and development

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Ultrasonics Engineering & Materials Science
ultrasonics Physics & Astronomy
blood Physics & Astronomy
Blood Engineering & Materials Science
Websites Engineering & Materials Science
Tissue Engineering & Materials Science
blood coagulation Physics & Astronomy
Backscattering Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2004 2018

Research Output 1996 2019

Accelerated Segmented Diffusion-Weighted Prostate Imaging for Higher Resolution, Higher Geometric Fidelity, and Multi-b Perfusion Estimation

Aksit Ciris, P., Chiou, J. Y. G., Glazer, D. I., Chao, T-C., Tempany-Afdhal, C. M., Madore, B. & Maier, S. E., 2019 Apr 1, In : Investigative radiology. 54, 4, p. 238-246 9 p.

Research output: Contribution to journalArticle

Prostate
Perfusion
Echo-Planar Imaging
Diffusion Magnetic Resonance Imaging
Magnetic Resonance Imaging

C-3PO: Click-sequence-aware deeP neural network (DNN)-based Pop-uPs recOmmendation: I know you’ll click

Huang, T. T. H. D. & Kao, H-Y., 2019 Nov 1, In : Soft Computing. 23, 22, p. 11793-11799 7 p.

Research output: Contribution to journalArticle

Application programs
Recommendations
Neural Networks
Collaborative filtering
Recommender systems

Evolutionary-fuzzy-integral-based convolutional neural networks for facial image classification

Lin, C. J., Lin, C. H., Sun, C. C. & Wang, S. H., 2019 Sep, In : Electronics (Switzerland). 8, 9, 997.

Research output: Contribution to journalArticle

Open Access
Image classification
Neural networks
Network architecture
Particle swarm optimization (PSO)
Artificial intelligence

Student theses

Accelerating cerebral QSM scan via focusing volume of interest and parallel imaging

Author: 佳蓁, 蔡., 2018 Sep 3

Supervisor: Chao, T. (Supervisor)

Student thesis: Master's Thesis

A Classification Model Based on Generative Adversarial Networks for Breast Cancer

Author: 宥誠, 朱., 2018 Sep 3

Supervisor: Guo, S. (Supervisor)

Student thesis: Master's Thesis

A Modified Synthetic Aperture Focusing Technique Utilizing Beam Characteristics of Transducer for Ultrasound Image Improvement

Author: 嘉哲, 何., 2014 Sep 2

Supervisor: Wang, S. (Supervisor)

Student thesis: Master's Thesis