[Neuroinfo] Five days to submit your paper to MIUA 2017

[VALDES HERNANDEZ Maria]

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Apologies if you receive this more than once.

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**

*MIUA 2017 – SUBMISSION DEADLINE EXTENDED*

**

*FINAL CALL FOR PAPERS: March 10, 2017*

**

*_No further extensions will be allowed_*

**

*21st MEDICAL IMAGE ANALYSIS AND UNDERSTANDING 
CONFERENCE<https://miua2017.wordpress.com/>*

*July 11-13, 2017, Edinburgh, United Kingdom 
<https://miua2017.wordpress.com/>***

Due to many requests received the deadline for paper submission at MIUA 
2017 has been extended. MIUA 2017 is the 21^st edition of the Medical 
Image Understanding and Analysis Conference Series for communicating 
research progress within the community interested in biomedical image 
analysis. Its goals are 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.

*Paper Submissions:*

Full papers of length between 8 and 12 pages (1 column – LNCS Springer 
format) showing original research contributions under the topics of the 
conference are invited.

This year, the conference proceedings will be published in the Springer 
CCIS – Communications in Computer and Information Science 
<http://www.springer.com/series/7899>.

A selection of the best papers will be invited to submit an extend 
version to the special issue “Selected papers from MIUA 2017” 
<http://www.mdpi.com/journal/jimaging/special_issues/MIUA_2017>of the 
Journal of Imaging <http://www.mdpi.com/journal/jimaging>.

*IMPORTANT DATES*

Paper Submission deadline: March 10, 2017 [FINAL DATE]

Author Notification: April 19, 2017 [NEW DATE]

Camera-ready papers due: May 3, 2017[NEW DATE]

Early-bird registration due: May 12, 2017

Conference: July 11-13, 2017

*IMPORTANT NOTE: Please, note that this year Clinical Abstracts are also 
invited and the submission deadline for these is later than the deadline 
for submitting full papers*

**

*Honorary Guest Speaker: **Professor Sir Michael Brady* 
<http://www.robots.ox.ac.uk/%7Ejmb/>*to Open the Conference*

*Invited Speakers:*

Ingela Nyström <http://www.cb.uu.se/%7Eingela/>-- /Interactive Image 
Segmentation and Visualisation - for Cranio-Maxillofacial Surgery 
Planning and Orthopedic Applications/

Professor Nyström is the Head of the Division of Visual Information and 
Interaction at the Department of Information Technology, and Director of 
the Centre for Image Analysis in Uppsala University, Sweden. Vice-Chair 
of the Council for Research Infrastructure in Sweden

Jinah Park <https://cgv.kaist.ac.kr/professor>-- /Model-based approach 
to 3D shape recovery and analysis/

Professor Park, from the School of Computing at the Korea Advanced 
Institute of Science and Technology (KAIST, Daejeon, South Korea), is 
the Head of the Computer Graphics and Visualisation Research Laboratory 
and Head of KAIST Research Group of Future Emerging Technology on 
Medical Imaging.

Daniel Rueckert <http://wp.doc.ic.ac.uk/dr/> -- /Machine Learning for 
Medical Imaging/

Professor Rueckert is the Head of the Biomedical Image Analysis 
Laboratory at the Imperial College London, Fellow of the Royal Academy 
of Engineering, MICCAI and IEEE Societies.

*Tutorials by:*

Dr Constantino Carlos Reyes Aldasoro 
<https://www.city.ac.uk/people/academics/carlos-reyes-aldasoro>

*Processing and analysing microscopy images with MATLAB*

Dr. Reyes Aldasoro is**Senior Lecturer in the Department of Electrical 
and Electronic Engineering at the City University London, senior member 
of the IEEE, and author of “Biomedical Image Analysis Recipes in MATLAB: 
for Life Scientists and Engineers 
<https://www.amazon.co.uk/Biomedical-Image-Analysis-Recipes-MATLAB/dp/1118657551?ie=UTF8&*Version*=1&*entries*=0%20%29>” 
(ISBN 978-1-118-65755-3, Wiley-Blackwell)**

And

Dr. Konstantinos Kamnitsas** 
<https://uk.linkedin.com/in/konstantinos-kamnitsas-18221660>

*Deep Learning on the analysis of radiological images*

Dr. Kamnitsas is a Post-Doctoral Researcher in the Department of 
Computing at the Imperial College London, former Software Engineer and 
Microsoft Research Intern, and author of DeepMedic 
<https://github.com/Kamnitsask?tab=repositories>

*CONFERENCE TOPICS*

Big data processing
Clinical and Scientific Evaluation of Imaging Studies
Computer-Aided Pathology
Computer-Aided Radiology
Computer-Assisted Surgery

Data compression and anonymization

Data Fusion
Decision Support
Discovery of imaging biomarkers
Human Computer Interaction

Image Enhancement

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

Protocol Development and Standardization

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

The registered attendants will have the possibility to book a 1-day trip 
to the Scottish Highlands on Friday 14^th . Please email 
MIUA.2017 at ed.ac.uk <mailto:MIUA.2017 at ed.ac.uk>for more information about 
how to make the reservation.

Maria del C. Valdés Hernández, BEng, MSc, PhD, FHEA
Lecturer in Image Analysis and Chair MIUA 2017
Centre for Clinical Brain Sciences (CCBS)
Neuroimaging Sciences
The University of Edinburgh
Chancellor’s Building
49 Little France Crescent
Edinburgh EH16 4SB

Tel: 0131 465 9527 (CCBS)
Email: M.Valdes-Hernan at ed.ac.uk


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