Researcher Database

（Last updated : 2023-11-20 16:02:34）

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CHEN Yen-Wei

Department / Course College of Information Science and Engineering Department of Information Science and Engineering

Title / Position Professor

Other Affiliations
1.	Graduate School of Information Science and Engineering
2.	Research Organization of Science and Technology The Bio Medical Engineering Research Center

Academic background
1.	1990/03 Degree Acquisition	│ Osaka University Ph.D
2.	～1985/03	Faculty of Engineering │ Kobe University │ Graduated
3.	～1990	Doctorial Course │ Graduate School, Division of Engineering │ Osaka University │ Completed

Research activities
1.		The Institute of Electrical Engineers of Japan
2.		The Institute of Electronics, Information and Communication Engineers (IEICE)
3.		The Japanese Society of Medical Imaging Technology

Research summary
A research on Intelligent Image Processing Image media has drawn additional attention in the information society. It is necessary to give learning ability and adaptation ability that a human being has to a computer, if very flexible and reliable image processing, recognition and understanding like a human being is required for the computer. I am engaged in three basic research subjects of "Medical Image and 3D Image Processing", "Image Analysis and Pattern Recognition" and "Intelligent Image Processing". I am also widely researching the subjects from basic study to applied study by combining three fields above.

Present specialized field
Keyword：pattern recognition, medical image processing, atigicial intelligence (deep learning)

Books
1.	2021	Innovation in Medicine and Healthcare 2021 │ (Co-authored)
2.	2021	Intelligent System Design │ (Co-authored)
3.	2020	Deep Learning in Healthcare │ (Co-authored)
4.	2019	Innovation in Medicine and Healthcare Systems, and Multimedia │
5.	2017/06	Innovation in Medicine and Healthcare 2017 │ (Co-authored)
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Papers
1.	2023/11	Unsupervised Logo Detection Using Adversarial Learning From Synthetic to Real Images │ IEEE Transactions on Emerging Topics in Computational Intelligence │ (Co-authored)
2.	2023/05	3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation │ IEICE Trans. Information and Systems │ E106-D (5),pp.1027-1037 (Co-authored)
3.	2023/03	Modality-Invariant Temporal Representation Learning for Multimodal Sentiment Classification, │ Information Fusion │ Vol.91,pp.504-514 (Co-authored)
4.	2023/03	TensorFormer: A Tensor-based Multimodal Transformer for Multimodal Sentiment Analysis and Depression Detection, │ IEEE Transactions on Affective Computing │ Vol.91,pp.504-514 (Co-authored)
5.	2023/02	Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors │ IEEE Transactions on Emerging Topics in Computational Intelligence │ 7 (2),pp.426-435 (Co-authored)
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Academic conference presentation
1.	2020/05	UNET 3+: A Full-Scale Connected UNET for Medical Image Segmentation (The 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP2019) (H5: 79))
2.	2020/04	WNET: An End-to-end Atlas-Guided and Boundary-Enhanced Network for for Medical Image Segmentation (IEEE International Symposium on Medical Imaging (IEEE ISBI2020) (H5: 28))
3.	2020/01	An improved Faster R-CNN based mobile food object detection and classification system (38th IEEE International Conference on Consumer Electronics (IEEE ICCE2020) (H5:20))
4.	2020/01	Color Guided Depth Map Super-Resolution based on a Deep Self-Learning Approach (38th IEEE International Conference on Consumer Electronics (IEEE ICCE2020) (H5:20))
5.	2020/01	Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images (38th IEEE International Conference on Consumer Electronics (IEEE ICCE2020) (H5:20))
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Winning science prize
1.	2018/01	国際学会IEEE International Conference on Consumer Electronics (Las Vegas, USA) IEEE CE East Joint Japan Chapter ICCE Young Scientist Paper Award (Multi-Frame Super Resolution Using Frame Selection and Multiple Fusion for 250 Million Pixel Images)
2.	2017/09	2017 4th International Conference on Mechanical, Electronics and Computer Engineering (CMECE 2017). Best Student Presentation Award (Kinect-Based Gesture Recognition for Touchless Visualization of Medical Images)
3.	2012/11	21st International Conference on Pattern Recognition (ICPR 2012) Best Scientific Paper Award
4.	2009/10	Asian Simulation Conference 2009 (JSST2009) Poster Award
5.	1997/01	SPIE SPIE Medical Imaging 2017, Best Student Paper Award (Robust hepatic vessel segmentation using multi deep convolution networks)