Functional localization is a concept which involves the application of a sequence of
geometrical and statistical image processing operations in order to define the location of …

For nearly 2 decades, adaptive radiation therapy (ART) has been proposed as a method to
account for changes in head and neck tumor and normal tissue to enhance therapeutic …

A particular problem in image registration arises for multi-modal images taken from different
imaging devices and/or modalities. Starting in 1995, mutual information has shown to be a …

Objectives: A particular problem in image registration arises for multi-modal images taken
from different imaging devices and/or modalities. Starting in 1995, mutual information has …

Predicting registration error can be useful for evaluation of registration procedures, which is
important for the adoption of registration techniques in the clinic. In addition, quantitative …

A novel method for automatic quality assessment of medical image registration is presented.
The method is based on supervised learning of local alignment patterns, which are captured …

In this paper we propose a supervised method to predict registration misalignment using
convolutional neural networks (CNNs). This task is casted to a classification problem with …

Filtering of vessel structures in medical images by analyzing the second order information or
the Hessian of the image, is a well known technique. In this work we incorporate Frangi's …

In this paper, we propose a novel method to estimate the confidence of a registration that
does not require any ground truth, is independent from the registration algorithm and the …

In this paper, a medical image registration based on Renyi's quadratic mutual information is
proposed. Firstly, the initial values (ie the translation and rotation parameters) for aligning …