The second edition of MICGen will be held at MICCAI 2015, in Munich.
Accepted papers will be published in a Springer Lecture Notes in Computer Science (LNCS) Proceedings Volume.
[07 . 31 . 2015] Official submission notifications have gone out. If you are an author and haven't received an email, please contact us.
[07 . 03 . 2015] The official paper submission deadline is today!
[06 . 01 . 2015] The official call for papers for MICGen has gone out.
[04 . 01 . 2015] We are currently working with Springer for LNCS proceedings for MICGen 2015 publications.
[04 . 01 . 2015] MICGen 2015 Website is up!
[04 . 01 . 2015] Click here for an archive of MICGen 2014
MICGen: MICCAI Workshop on Imaging Genetics will be held for a second time on October 9th, 2015, in conjunction with the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference, and will take place in Munich. The first edition was held at MICCAI 2014, at the Massachusetts Institute of Technology, Cambridge, MA, USA. MICGen brings together researchers and clinicians from various fields including medical genetics, computational biology and medical imaging, presenting a forum for both fundamental concepts as well as state-of-the-art methods and applications.
MICGen will include tutorial sessions discussing fundamental concepts and challenges of imaging genetics, as well as oral presentations of accepted papers presenting novel methods or new applications. All researchers interested in imaging genetics, regardless of experience, are invited to attend.
Imaging genetics studies the relationships between genetic variation and measurements from anatomical or functional imaging data, often in the context of a disorder. While traditional genetic analyses are successful for deciphering simple genetic traits, imaging genetics can aid in understanding the underlying complex genetic mechanisms of multifaceted phenotypes. Specifically, imaging-based biomarkers are used as an intermediate or alternative phenotype that provides a rich quantitative characterization of disease. As large imaging genetics datasets are becoming available, their analysis poses unprecedented methodological challenges. MICCAI offers an ideal and timely opportunity to bring together people with different expertise and shared interests in this rapidly evolving field.