The Insight Journal is an Open Access on-line publication covering the domain of medical image processing.

The unique characteristics of the Insight Journal include:

Open-access to articles, data, code, and reviews : All submissions are available for free.  The Insight Journal advances the idea that the results of scientific research should be made available to the public.  Open access enables others to more fully understand the research and to more easily build upon the research.  The field of medical image analysis will more rapidly advance.

Open peer-review that invites discussion between reviewers and authors: The review process is made public and performed online. Every reader is a reviewer and may post comments.  Reviewers' comments are posted with the submissions.  Authors may respond to reviewers' comments.  Authors may submit revisions to the papers in response to reviewers' comments.  Once you join the IJ, you may be asked to provide reviews when papers are submitted that match your expertise.

Emphasis on reproducible science via automated code compilation and testing: Code submitted to the IJ is verified by an automatic system.  Authors are encouraged to post their papers along with the source code, the input data, and the expected output data needed to replicate the results presented in the paper.  When the recommended IJ coding tools are used (e.g., CMake) then the code will be automatically compiled on a test platform, the executables will be run, and the actual outputs will be compared with the ideal output.  Compilation errors and output differences will be noted using Dashboards and those Dashboards will be posted as a review.   Reviewers are also encouraged to download code and data and report their results on the IJ.  Readers searching for useful code will know automated results as well as the experiences of others.

Support for continuous revision of articles, code, and reviews: The IJ is a dynamic publication environment.  All submissions can be continually reviewed, tested, revised, and extended.  Ultimately, ITK-based code that receives high marks and community support has the option of being integrated directly into an ITK release.

The IJ is volunteer supported: We need your help in the form of submissions, reviews, and ideas!   The IJ is a novel concept in the field of medical image analysis, and we need your time, intelligence, and insight to make it work.   Please contact us with your suggestions.