MI 2015 - 1st Machine Learning meets Medical Imaging workshop

1st Machine Learning meets Medical Imaging workshop (https://sites.google.com/site/icml2015mi/) held in conjunction with the International Conference on Machine Learning(http://icml.cc) 2015, in Lille France, on 11th July 2015.
Developments in machine learning have opened up novel opportunities in knowledge discovery, analysis, visualisation and reconstruction of medical image datasets. However, medical images also pose several particular challenges for standard approaches, for instance, lack of data availability, poor image quality or dedicated training requirements. This workshop will cover both theoretical aspects as well as effective applications of machine learning. We are honoured to have the following invited speakers presenting:
* Bertrand Thirion (Research Director, Parietal Team, INRIA)
* John Ashburner (Professor, Functional Imaging Laboratory, University College London)
* Marleen de Bruijne (Professor, Erasmus Medical Center, Rotterdam, University of Copenhagen)
* Ben Glocker (Lecturer, Biomedical Image Analysis Group, Imperial College London)
We invite innovative contributions in machine learning applied to all areas of medical imaging. Topics of interest include, but are not limited to:
- Medical image analysis (segmentation, labelling, registration)
- Modeling spaces of medical images
- Learning on datasets of medical data
- Classification and retrieval
- Dimensionality reduction
- Sparse methods
- Medical image reconstruction (CT, PET, MRI)
Selected papers will be published in Springer format.
Original submissions will be accepted in the LNCS format, 6 to 8 pages, single column.
** Important dates ** :
- Deadline for submissions: ** 1st May 2015 23:59 PST **
- Notification of acceptance: 10th May 2015
- ICML early registration deadline: 15th May 2015
- Machine learning meets medical imaging workshop: 11th July 2015
For further information contact the organisers Kanwal Bhatia (k.bhatia-AT-imperial.ac.uk) or Hervé Lombaert (herve.lombaert-AT-inria.fr).