会议信息

ICBSP 2020: International Conference on Biomedical Imaging, Signal Processing

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ICBSP
截稿日期:
2020-06-05 Extended
通知日期:
2020-06-25
会议日期:
2020-09-27
会议地点:
Kitakyushu, Japan
届数:
5
浏览: 16879   关注: 3   参加: 1

征稿

ICBSP 2020 (International Conference on Biomedical Imaging, Signal Processing) is an academic conference held in Kitakyushu, Japan on 2020-09-27. The paper submission deadline is 2020-06-05 (extended). Acceptance notifications are sent on 2020-06-25.

2020 5th International Conference on Biomedical Imaging, Signal Processing (ICBSP 2020) will be held in Kyushu Institute of Technology, Kitakyushu, Japan during September 27-29, 2020. The aim of ICBSP 2020 is to present the latest research and results of scientists related to Biomedical Imaging, Signal Processing topics. This conference provides opportunities for delegates to exchange new ideas and application experiences face to face, to establish business or research relations as well as to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up-to-date scientific fields. Topics of interest for submission include, but are not limited to: • Bioimaging and Biomedical Signal Processing • Biomedical Imaging and Image Processing • Biomedical Imaging, Sensing and Genomic Signal Processing • Biomedical Signal and Image Filtering • Biomedical Signal and Image Measurement and Acquisition • Biomedical Signal and Image Processing • Medical Signal and Image Transmission • Biometric Image Processing and Recognition • Audio and Acoustic Signal Processing • Bioinstrumentation and Biosensors • Image Reconstruction and Enhancement • Image, Video and Multidimensional Signal Processing • Machine Learning for Signal and Image Processing • Mobile and Wearable Computing in Biomedical Engineering • Multimedia Signal Processing • Multimodal Data Fusion and Analysis • Neural Rehabilitation Engineering • Pattern Recognition in Biomedical Applications • Sensor Array and Multichannel Signal • Signal Processing for Big Data • Signal Processing for Communications and Networking • Signal Processing for the Internet of Things • Signal Processing Theory and Methods • Speech Processing • Spoken Language Processing
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