Difference between revisions of "Call for Identification of Medical Image Computing Grant Applications"

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Many of us work in a clinically relevant area of [http://en.wikipedia.org/wiki/Medical_image_computing Medical Image Computing]. And yet, we struggle to get NIH funding for methodological developments in this area of research. While we get encouragement from the program officers, the applications often gets poor scores from the study sections. To the best of our knowledge, there is no study section at NIH on [http://en.wikipedia.org/wiki/Medical_image_computing Medical Image Computing] (rather than [http://en.wikipedia.org/wiki/Medical_imaging Medical Imaging], for example, that is much more focused on improving image acquisition).
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'''''Note: NA-MIC is no longer a funded research effort. This page is maintained for historical purposes only.'''''
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</blockquote>
  
To create such study section, NIH needs evidence that enough grants on the topic are submitted to warrant an ad-hoc study section first, which can later be converted to a permanent study section if the stream of applications is sustained over several application cycles.
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[http://en.wikipedia.org/wiki/Medical_image_computing Medical Image Computing] (MIC) is a young field of research. To the best of our knowledge, there is no study section at NIH specializing on this topic. This is in contrast to the well established field of [http://en.wikipedia.org/wiki/Medical_imaging Medical Imaging], which is focused on improving image acquisition and reconstruction and has its own specialized study section.
  
This is a call for everyone who is submitting a grant application to NIH. Please mention the term Medical Image Analysis in your grant summary/abstract and keywords. You don't need to do anything else differently, just add the keyword to the text. After 3-4 grant submission cycles, this will give NIH enough evidence (by searching the applications) to warrant a special ad-hoc study section on Medical Image Analysis. This will be a start. If as a community, we can sustain the volume of applications for a separate section, the ad-hoc study section will convert to a permanent one.
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We would like to raise the visibility of the field of Medical Image Computing (MIC) with the long term goal of initiating the creation of a study section focused on our field. This would provide a better match not only of the individual reviewers but also of the study section as a whole, which would be better attuned to MIC content. NIH needs evidence that enough grants on the topic are submitted at sufficient frequency to initiate this process. The typical threshold is around 20 submissions per cycle. Typically, an ad-hoc study section is created first, which can later be converted to a permanent study section if the stream of applications is sustained over several application cycles.
  
We are not calling for any drastic changes in the structure of the NIH review process. Our goal is to use the existing structure to create a completely valid avenue for Medical Image Computing grant applications to compete against others in this field on equal footing and for the NIH reviewers to select the best science and engineering in this field with the highest potential to improve medical care. This will improve the system relative to the current state where Medical Image Computing applications are sent to many other study sections and are evaluated by reviewers largely outside the field.
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This is a call to the Medical Image Computing community. When submitting a MIC themed grant application to the NIH, please include the term '''Medical Image Computing''' in your grant summary and the keywords. You don't need to do anything else, just add the term. If, as a community, we can sustain the volume of applications that are labeled like this, then we can lobby for the process of study section formation to begin.
  
All you need to do to help with the process is to mention [http://en.wikipedia.org/wiki/Medical_image_computing Medical Image Computing] in the summary and the keywords of the next grant applications you are sending to NIH. And help us improve the
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Our goal is to use the existing policies and governance to create a completely valid avenue for Medical Image Computing grant applications to compete against others in this field on equal footing and for the NIH reviewers to select the best science and engineering in this field with the highest potential to improve medical care. This will improve the reviewing system relative to the current state where Medical Image Computing applications are sent to a variety of different study sections and are evaluated by reviewers with core competences largely outside the MIC field.
visibility of the field by editing the wikipedia page on [http://en.wikipedia.org/wiki/Medical_image_computing Medical Image Computing].
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=Actions Requested=
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* Please include '''Medical Image Computing''' in the summary and keywords of all your future grant applications to NIH.  
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* Review the wikipedia page on [http://en.wikipedia.org/wiki/Medical_image_computing Medical Image Computing]. Improve the wikipedia page by editing and adding content.
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=Signed=
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#[http://people.csail.mit.edu/polina Polina Golland]
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#[http://www.spl.harvard.edu/pages/People/kikinis Ron Kikinis]
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#[http://www.martinstyner.org Martin Styner]
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#[http://www.sci.utah.edu/people/gerig.html Guido Gerig]
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#[http://www.na-mic.org/Wiki/index.php/Algorithm:BU Allen Tannenbaum]
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#[http://lmi.bwh.harvard.edu/~westin Carl-Fredrik Westin]
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#[http://www.cs.utah.edu/~crj/ Chris Johnson]
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#[http://www.stanford.edu/people/Sandy.Napel Sandy Napel]
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#[http://www.cs.queensu.ca/~gabor Gabor Fichtinger]
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#[http://www.iacl.ece.jhu.edu/ Aaron Carass]
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#[https://masi.vuse.vanderbilt.edu/index.php/Main_Page Bennett Landman]
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#[http://www.cise.ufl.edu/~vemuri Baba C. Vemuri]
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#[http://stanford.edu/~rubin/ Daniel Rubin]
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#[http://www.cs.wm.edu/~nikos Nikos Chrisochoides]

Latest revision as of 03:37, 17 December 2015

Home < Call for Identification of Medical Image Computing Grant Applications

Note: NA-MIC is no longer a funded research effort. This page is maintained for historical purposes only.

Medical Image Computing (MIC) is a young field of research. To the best of our knowledge, there is no study section at NIH specializing on this topic. This is in contrast to the well established field of Medical Imaging, which is focused on improving image acquisition and reconstruction and has its own specialized study section.

We would like to raise the visibility of the field of Medical Image Computing (MIC) with the long term goal of initiating the creation of a study section focused on our field. This would provide a better match not only of the individual reviewers but also of the study section as a whole, which would be better attuned to MIC content. NIH needs evidence that enough grants on the topic are submitted at sufficient frequency to initiate this process. The typical threshold is around 20 submissions per cycle. Typically, an ad-hoc study section is created first, which can later be converted to a permanent study section if the stream of applications is sustained over several application cycles.

This is a call to the Medical Image Computing community. When submitting a MIC themed grant application to the NIH, please include the term Medical Image Computing in your grant summary and the keywords. You don't need to do anything else, just add the term. If, as a community, we can sustain the volume of applications that are labeled like this, then we can lobby for the process of study section formation to begin.

Our goal is to use the existing policies and governance to create a completely valid avenue for Medical Image Computing grant applications to compete against others in this field on equal footing and for the NIH reviewers to select the best science and engineering in this field with the highest potential to improve medical care. This will improve the reviewing system relative to the current state where Medical Image Computing applications are sent to a variety of different study sections and are evaluated by reviewers with core competences largely outside the MIC field.

Actions Requested

  • Please include Medical Image Computing in the summary and keywords of all your future grant applications to NIH.
  • Review the wikipedia page on Medical Image Computing. Improve the wikipedia page by editing and adding content.

Signed

  1. Polina Golland
  2. Ron Kikinis
  3. Martin Styner
  4. Guido Gerig
  5. Allen Tannenbaum
  6. Carl-Fredrik Westin
  7. Chris Johnson
  8. Sandy Napel
  9. Gabor Fichtinger
  10. Aaron Carass
  11. Bennett Landman
  12. Baba C. Vemuri
  13. Daniel Rubin
  14. Nikos Chrisochoides