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MIUA 2017 : Medical Image Understanding and Analysis

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Link: http://miua.org.uk/
 
When Jul 11, 2017 - Jul 13, 2017
Where Edinburgh (UK)
Submission Deadline Feb 24, 2017
Notification Due Mar 31, 2017
Final Version Due Apr 24, 2017
Categories    image processing   image analysis   medical imaging
 

Call For Papers

MIUA is the principal UK forum for communicating research progress within the community interested in image analysis applied to medicine and related biological science. The meetings are designed for the dissemination and discussion of research in medical image processing and analysis, and aims to encourage the growth and raise the profile of this multi-disciplinary field.

Scope:

The conference is looking for new technical contributions in medical image analysis including, but not restricted to, the following topics:

Big data processing
Clinical and Scientific Evaluation of Imaging Studies
Computer-Aided Pathology
Computer-Aided Radiology
Computer-Assisted Surgery
Data Fusion
Decision Support
Discovery of imaging biomarkers
Human Computer Interaction
Image Interpretation
Image-Guided Intervention
Image formation and reconstruction
Image Perception
Image Registration
Image Segmentation
Intelligent Imaging Systems
Machine Learning in Imaging
Modelling and Simulation
Motion Analysis
Multi-Modality Image Analysis
Pattern and feature recognition
Quantitative Image Analysis
Shape Analysis
Software development
Super-resolution algorithms
Statistical Methods in Imaging
Systematic Testing & Validation
Texture Analysis
Time series analyses
Virtual Reality
Visualisation

Related Resources

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ICIP 2019   International Conference on Image Processing
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IJCSEIT 2018   International Journal of Computer Science, Engineering and Information Technology
IbPRIA 2019   8th Iberian Conference on Pattern Recognition and Image Analysis
MDA 2019   14th International Conference on Mass Data Analysis of Images and Signals
IJPLA 2018   International Journal of Programming Languages and Applications
CLOUD 2019   8th International Conference on Cloud Computing: Services and Architecture