********************************************************
CfP - Apologies for multiple postings
********************************************************
Update:
- Deadline extended to 24 June 2016
- Proceedings will be published as Springer LNCS
********************************************************
The 1st International Workshop on Reconstruction and Analysis of Moving Body
Organs (RAMBO) will be held in conjunction with this year's MICCAI, in
Athens, Greece on 17th October 2016 (AM), and is being co-organised by
King's College and Imperial College London.
Web: <https://sites.google.com/site/miccai2016rambo>
https://sites.google.com/site/miccai2016rambo
Contact: <mailto:miccai.ra...@gmail.com> miccai.ra...@gmail.com
CFP:
<https://sites.google.com/site/miccai2016rambo/home/submissions/RAMBO2016CFP
.pdf>
https://sites.google.com/site/miccai2016rambo/home/submissions/RAMBO2016CFP.
pdf
********************************************************
_________________
IMPORTANT DATES
_________________
Full paper submission deadline: June 10th 2016 June 24th 2016, 23:59 PST
Notification of acceptance: July 15th 2016
Camera-ready submission: August 5th 2016
Workshop: October 17th 2016
__________________
CALL FOR PAPERS
__________________
This workshop targets researchers for whom the effects of motion are
critical in image analysis or visualisation. By inviting contributions
across all application areas we aim to bring together ideas from different
fields without being confined to a particular methodology. In particular,
the move from model-based to learning-based methods of modelling over recent
years has resulted in increased transferability of techniques between
domains. RAMBO provides a forum for the dissemination and discussion of
novel developments related to dealing with, and taking advantage of, motion
in medical imaging.
We invite submissions on any aspect of medical imaging where motion plays a
role in the image formation or analysis. Topics include, but are not limited
to:
- Cardiac, respiratory, fetal, colon, fMRI, interventional applications
- Motion modelling (including methods to learn motion)
- Time series analysis
- Image registration
- Image segmentation / classification
- Real-time applications
- Machine learning methods
- Image reconstruction
- Image enhancement (e.g. super-resolution, denoising)
- Compressed sensing / accelerated imaging
___________________
KEYNOTE SPEAKERS
___________________
- Tommaso Mansi (Senior Scientist, Siemens Healthcare, Medical Imaging
Technologies)
- Tom Vercauteren (Senior Lecturer, Translational Imaging Group, University
College London)
_________________
WORKSHOP CHAIRS
_________________
Bernhard Kainz (Imperial College London)
Kanwal Bhatia (King's College London)
Maria Zuluaga (University College London)
Ghislain Vaillant (Imperial College London)
________________________
PROGRAMME COMMITTEE
________________________
Wenjia Bai (Imperial College London)
Olivier Bernard (CREATIS, Lyon, France)
Wolfgang Birkfellner (Medical University Vienna)
Lucilio Cordero-Grande (King's College London)
Ali Gholipour (Boston Children's Hospital)
Alberto Gomez (King's College London)
Matthias Heinrich (Universität zu Lübeck)
Karim Lekadir (Stanford University)
Herve Lombaert (INRIA, France)
Bartlomiej Papiez (University of Oxford)
Francois Rousseau (Telecom Bretagne)
Martin Urschler (Graz University of Technology)
Wolfgang Wein (ImFusion Gmbh)
__________
CONTACTS
__________
Contact: <mailto:miccai.ra...@gmail.com> miccai.ra...@gmail.com
Website: <https://sites.google.com/site/miccai2016rambo>
https://sites.google.com/site/miccai2016rambo
MICCAI: http://www.miccai2016.org/en/
<http://www.miccai2016.org/en/>
MICCAI 2016 <http://www.miccai2016.org/en/>
www.miccai2016.org <http://www.miccai2016.org>
WELCOME TO MICCAI 2016. MICCAI 2016, the 19th International Conference on
Medical Image Computing and Computer Assisted Intervention, will be held
from October 17 th ...
--
Dr. Bernhard Kainz
Department of Computing
Imperial College London
180 Queens' Gate
London SW7 2AZ
<mailto:b.ka...@imperial.ac.uk> mailto:b.ka...@imperial.ac.uk
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