Important News!

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 prices 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
Paper submission is open! Deadline Extended to 15th of July. Submit here.
The Multi-shell diffusion MRI Harmonisation Challenge is OPEN!, Deadline 20th of August 2018. Useful information, data and rules for teams here.


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, Hardvard 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 (Extended) Paper submission deadline
3rd August 2018 Notification of acceptance
13th of August 2018 Camera-ready paper submission
20th of August 2018 MUSHAC Challenge entry submission deadline
20th of September 2018 Workshop at Granada, Spain


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