This contest is meant to give recognition to the medical art that is enabled by open-source software, particularly ITK and VTK. This contest is complimentary to the open-access Insight Journal that gives recognition to the algorithms of open-source software.
Kitware, Inc. creates and supports leading edge, high quality software in the fields of computer vision, medical imaging, visualization, 3D data publishing, and technical software development. Kitware employs an open source development model to foster extended, collaborative communities, and an open source business model to provide flexible, low-cost technical solutions. The Company's services and products include software support, consulting, custom application development, and training and productivity tools that leverage our open-source software systems.
Kitware is looking for candidates who share our passion for open-source software, imaging research, and software engineering. We have openings at our Clifton Park, NY and Chapel Hill, NC offices. More information is available here.
N. Ayache, INRIA, Sophia-Antipolis
J. M. Fitzpatrick, Vanderbilt University
A. Frangi, Pompeu Fabra University
H. Huisman, Radboud University Medical Centre Nijmegen
N. Karssemeijer, Radboud University Medical Centre Nijmegen
D. Inglis, McMaster University
M. Niethammer, The University of North Carolina
S. Pieper, Isomics, Inc.
J. Schnabel, University of Oxford
M. Styner, The University of North Carolina
D. Testi, BioComputing Compentence Centre
M. Viceconti, Istituto Ortopedico Rizzoli
The judging for this contest will be conducted by a panel of experts, guided by public opinion. Any registered user may vote at any time during this contest. Since voting and image uploading will occur simultaneously, there is incentive to upload your material early. However, to be fair to images uploaded towards the end of this contest and to ensure the goals of this contest are met, the judging panel will not be obligated to choose the image with the most first-place votes.
The panel will be instructed to consider medical significance, use of ITK and/or VTK, and aesthetics. Images that first, provide novel insights into medical data; second, make effective use of ITK and VTK; and third, have artistic appeal will be rated higher than images that do not. Programming in ITK and VTK is not required and will not be specifically rewarded. The goal of this contest is to emphasize images that can be produced by programs that use ITK and/or VTK.
Each submitted image, and a summary of the votes it received from the public, will be viewed by the judging panel. Judges will include members of academia and industry. Judges will be asked to assign a score of 1 (low) to 5 (high) in each of the categories for each image. Votes from judges with perceived conflicts of interest will be excluded from an image's tally. The winners will be chosen by a weighted average of the scores. The winners will be announced at the MICCAI conference and contacted via the emails supplied when the winning images were uploaded. The winners will have 30 days to respond or their winnings will be forfeited. Winners are responsible for all applicable US and foreign taxes on their winnings.
Kitware reserves the right to remove any image from the contest and from the contest website at any time, with and without cause.
This website was created using Python and Django. For more information contact Patrick Reynolds at Kitware's North Carolina Office.