We demonstrate an EM-based algorithm that jointly registers and clusters a group of images using an affine transformation model. The output is a small number of prototype images that represent the different modes of the population. The proposed algorithm can be viewed as a generalization of other well-known atlas construction algorithms, where the collection of prototypes represent multiple atlases for that population. Our experiments indicate that the employment of multiple atlases improves the localization of the underlying structure in a new subject
Abstract. We seek to automatically establish dense correspondences across groups of images. Existing...
This manuscript tackles the reconstruction of 3D volumes via mono-modal registration of series of 2D...
Abstract. We present two new clustering algorithms for medical image segmentation based on the multi...
We demonstrate an EM-based algorithm that jointly registers and clusters a group of images using an ...
Abstract. Registration is a key component in multi-atlas approaches to medical image segmentation. C...
Registration is a key component in multi-atlas approaches to medical image segmentation. Current sta...
Registration is a key component in multi-atlas approaches to medical image segmentation. Current sta...
Groupwise registration has recently been proposed for simultaneous and consistent registration of al...
We present a statistical framework that combines the registration of an atlas with the segmentation ...
Medical image registration is a widely used strategy for intrasubject and intersubject matching. Ove...
We propose a fully automated method for locally registering 2-D multi-modal images. We model the ima...
Abstract. The non-rigid registration of a group of images shares a common feature with building a mo...
The paper presents a new memetic, cluster-based methodology for image registration in case of geomet...
Graph-based groupwise registration methods are widely used in atlas construction. Given a group of i...
Image registration is the process of finding the geometric transformation that, applied to the float...
Abstract. We seek to automatically establish dense correspondences across groups of images. Existing...
This manuscript tackles the reconstruction of 3D volumes via mono-modal registration of series of 2D...
Abstract. We present two new clustering algorithms for medical image segmentation based on the multi...
We demonstrate an EM-based algorithm that jointly registers and clusters a group of images using an ...
Abstract. Registration is a key component in multi-atlas approaches to medical image segmentation. C...
Registration is a key component in multi-atlas approaches to medical image segmentation. Current sta...
Registration is a key component in multi-atlas approaches to medical image segmentation. Current sta...
Groupwise registration has recently been proposed for simultaneous and consistent registration of al...
We present a statistical framework that combines the registration of an atlas with the segmentation ...
Medical image registration is a widely used strategy for intrasubject and intersubject matching. Ove...
We propose a fully automated method for locally registering 2-D multi-modal images. We model the ima...
Abstract. The non-rigid registration of a group of images shares a common feature with building a mo...
The paper presents a new memetic, cluster-based methodology for image registration in case of geomet...
Graph-based groupwise registration methods are widely used in atlas construction. Given a group of i...
Image registration is the process of finding the geometric transformation that, applied to the float...
Abstract. We seek to automatically establish dense correspondences across groups of images. Existing...
This manuscript tackles the reconstruction of 3D volumes via mono-modal registration of series of 2D...
Abstract. We present two new clustering algorithms for medical image segmentation based on the multi...