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This workshop is a continuation of the successful MICCAI grand challenge workshops series focusing on evaluating and comparing medical image analysis methods in clinical settings.


The goal of this challenge is to quantitatively evaluate the performance of 3D image analysis algorithms for: Coronary artery stenoses detection/quantification and lumen segmentation in computed tomography angiography (CTA) images Right ventricle segmentation in cardiac MRI.

Paper submission

Papers will include results obtained on testing data and will be limited to eight pages following the MICCAI submission guidelines. Submission of results of an algorithm submitted to the main conference (or to some other workshops) is allowed, as well as submission of results of already published methodologies.

Workshop format

The competition will be conducted using a set of clinical image databases that cover a wider range of patients, pathologies, as well as image sources. We will develop dedicated comprehensive evaluation tools to target each individual application for an objective assessment of the algorithm performance. Three sets of test images will be provided to all participants. The first set includes expert, ground truth manual annotations and is used for fine-tuning the algorithms. The second set will be used to evaluate the methods before the workshop and provide results for the workshop papers. The third set will be used at the workshop to evaluate all submitted algorithms on-site. The evaluation results of each separate competition will be summarized in a top rank journal.

The workshop is a day long double track workshop that includes (i) an on-site challenge session with unseen testing data and (ii) in-depth oral presentations of selected algorithms. A poster session will accommodate further discussions. Electronic proceedings will be arranged for all of the papers and posters presented at the workshop.


Coronary artery stenoses detection & quantification and lumen segmentation in CTA images

Right Ventricle Segmentation Challenge in Cardiac MRI


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The content of the Grand Challenge 2012 website is copyrighted Hortense Kirisli, Theo van Walsum, Wiro Niessen, Caroline Petitjean.