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New IEEE-TMI paper

April 12, 2021

It is my pleasure to announce that our new article “Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms” (first author: Loïc Peter) has been accepted for publication in IEEE Transactions on Medical Imaging, accepted for publication. The articles digs into how landmark correspondences, which are often used as gold standard to evaluate image registration algorithms, can bias results depending on how landmarks to annotate are selected. The article introduces a framework based on Gaussian processes that addresses this issue...

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