IEEE Symposium of Brain-Inspired Computing for Medical Big Data will held at Columbia University on November 18th-20th, 2016. The symposium is co-located with The IEEE International Conference on Smart Cloud (SmartCloud 2016). Recent academic achievements in this specific field will be welcome to this symposium. The accepted papers will be included in the conference proceedings and indexed by EI. Excellent papers will be selected and published on SCI and EI journals. At least one of the authors for each paper has to attend the symposim to present the paper. Please refer to the Submission page for the information of paper submission.
Topics of particular interest include, but are not limited to:
Biologically Inspired System
Brain inspired medical system
Brain inspired signal processing
Brain inspired learning
Brain machine interface
Applications
Neural Computing
Neuro-computing systems for brain imaging
Neural control systems
Biological neural network models
Deeping neural networks
Applications
Medical Data Analysis
Medical image processing analysis and interpretation
Patient specific modeling and medical image understanding
X-ray, CT, Ultrasound, EEG
Thermal imaging
Brain & Neurological diseases
Brain imaging (Functional MRI, Structural MRI, PET)
Quantitative image analysis
Applications
General Method for Image Processing
Image representation and compression
Image restoration and enhancement
Image synthesis
Imaging genetics
Machine learning and pattern recognition
Model-based image analysis
Motion/time series analysis
Registration methodologies
Segmentation methodologies
Shapre representation and analysis
11月18日
2016
11月20日
2016
初稿截稿日期
注册截止日期
2024年05月10日 美国 New York
2024 IEEE 9th International Conference on Smart Cloud (SmartCloud)2023年09月16日 日本 Tokyo
2023 IEEE 8th International Conference on Smart Cloud2022年10月08日 中国 Shanghai
2022 IEEE 7th International Conference on Smart Cloud2021年11月06日 美国 Newark
2021 IEEE 6th International Conference on Smart Cloud2018年09月21日 美国
2018 IEEE International Conference on Smart Cloud
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