|The FSL Course is an intensive course that covers both the theory and practice of functional and structural brain image analysis. Background concepts and the practicalities of analyses are taught in detailed lectures; these are interleaved with hands-on practical sessions where attendees learn how to carry out analysis for themselves on real data.|
Note that, as stated above, we will not have any more information about future course dates or locations until arrangements are finalised, at which time the information will immediately appear on this website.
|2018 - Oxford, UK|
|2017 - Vancouver, Canada||2012 - Auckland, New Zealand||2006 - Siena, Italy|
|2016 - Sicily, Italy||2011 - Montreal, Canada||2005 - Waltham, USA|
|2015 - Honolulu, USA||2010 - Heidelberg, Germany||2004 - Würzburg, Germany|
|2014 - Oxford, UK||2009 - San Francisco, USA||2003 - Los Angeles, USA|
|2013 - Redmond, USA||2008 - Brisbane, Australia||2002 - Oxford, UK|
|2012 - Bristol, UK||2007 - Cardiff, UK||2002 - Melbourne, Australia|
All material copyright © 2017-2018, FMRIB Analysis Group.
Data for FSL practicals
Data for UNIX practicals
Additonal UNIX help can be found in:A Basic UNIX Tutorial.
All material copyright © 2000-2018, FMRIB Analysis Group & MGH, Boston.
Documentation for FSL can be found at the FSL wiki
FreeSurfer material can be found here.
The data for the course is divided into a number of parts due to the size of the data and can be downloaded using the links below, or using wget [Linux] or curl [Mac OS X]. If you are working at the FMRIB Centre then please see these instructions for information on following the course inside FMRIB.
Once you have downloaded the files they need to be uncompressed before you can begin the course. To do this, open a terminal, change into the folder where you downloaded the course files to and run the following commands:
NB If you downloaded the files using Safari on Mac OS X, then they may already have been uncompressed, ie missing the .gz extension. In this case, change the tar commands above to '
All material copyright © 2006-2014 held by talk/practical authors
As the course data files are large, Linux users may find that using the wget command to download the course data files is more reliable. In a terminal, change to the folder you wish to download the data to and issue the following commands:
If, for some reason your wget downloads are interrupted, you can restart any incomplete downloads by running that wget command again.
As the course data files are large, Mac users may find that using the curl command to download the course data files is more reliable. In a terminal, change to the folder you wish to download the data to and issue the following commands:
If, for some reason your curl downloads are interrupted, you can restart any incomplete downloads by running that curl command again.