Important News!

CDMRI'18 Proceedings' book is on-line CDMRI'18 proceedings are available here. Thank you for your contributions!
Thank you all!! CDMRI'18 and MUSHAC has been a real success with more than 25 paper submissions and 11 teams competing in the Challenge! We would like to thank you all for your participation and contribution to CDMRI'18-MUSHAC and congratulations again to the winners of the Prizes (listed in the Programme section). Special thanks to all our sponsors who made all of this possible!
Even more prizes!!! NVIDIA TITAN Xp for the best paper and NVIDIA TITAN V for the best MUSHAC method. Sponsored by
NVIDIA
ISMRM Endorsement to CDMRI'18.
Fee discounts available for ISMRM members. (check Registration and Links for more information).
CDMRI'18 has been endorsed by the International Society for Magnetic Resonance in Medicine (ISMRM)
(ISMRM)
SOCIAL EVENT The workshop will conclude with a social event at Oliver Restaurante in the evening, where you will be able to exchange your prizes (if you wish). Google Map: Plaza Pescadería, 12. Granada. (maps link)
This year there will be prizes for: (1) The best Oral presentation, (2) The best poster presentation and (3) The best Challenge presentation! Each prize consists of: Dinner for two (Selection of Tapas and glass of wine), sponsored by Oliver Restaurante (Plaza Pescadería, 12. Granada). Oliver Restaurante
The Multi-shell diffusion MRI Harmonisation Challenge is OPEN!, Deadline 20th of August 2018. Useful information, data and rules for teams here.

Keynotes

Rita Nunes, Institute for Systems and Robotics, Lisboa, Portugal "Diffusion MRI outside the brain"
Peter Neher, German Cancer Research Center (DKFZ), Heidelberg, Germany "Current applications and future promises of machine learning in diffusion MRI"
Hans Knutsson, Linköping University, Sweden "Towards optimal sampling in diffusion MRI"
Yogesh Rathi, Harvard Medical School, USA "Retrospective and Prospective diffusion MRI data harmonization" and MUSHAC Challenge panelist
Neda Jahanshad, University of Southern California, USA "Challenges, opportunities and clinical applications of data harmonisation in diffusion MRI" and MUSHAC Challenge panelist

Workshop Topics

Over the last two decades interest in diffusion MRI has exploded. This noninvasive technique provides unique measurements sensitive to the microstructure of living tissue and enables connectivity mapping of the brain. As microscopic tissue alterations are often the earliest signs of disease or regeneration, the variety of clinical applications is expanding rapidly and includes detection of lesions and damaged tissue, grading of cancerous tumours, prognosis of functional impairment and neurosurgical planning. Moreover, fibre tractography gives fundamental new insights into connectional neuroanatomy.

Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into the clinic. New processing methods are essential for addressing challenges at each stage of the diffusion pipeline: data acquisition, image reconstruction, biophysical modelling and model fitting, tissue microstructure mapping, fibre tracking and connectivity mapping, machine learning and deep neural networks, visualisation, group studies and statistical inference.

This full-day MICCAI 2018 workshop, now in the eleventh edition, will give a snapshot of the current state of the art. Particular focus will be given to the opportunities that novel approaches such as machine learning techniques provide for computational diffusion MRI inside and outside the brain.

Important dates

2nd 15th July 2018 (Closed) Paper submission deadline
6th August 2018 Notification of acceptance
24th of August 2018 Camera-ready paper submission
20th 27th of August 2018 (Extended) MUSHAC Challenge entry submission deadline
20th of September 2018 Workshop at Granada, Spain

Challenge

This workshop will host the Multi-shell Diffusion MRI Harmonisation (MUSHAC) 2018 challenge.

Sponsors

Oliver Restaurante Oliver Restaurante (Plaza Pescadería, 12. Granada)

Siemens Healthineers Siemens

NVIDIA NVIDIA