Titlebook: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014; 17th International C Polina Golland,Nobuhiko Hata,Robert Howe Con

北極熊

Active Graph Matching for Automatic Joint Segmentation and Annotation of , are able to combine the benefits of a global, statistical deformation model with the benefits of a local deformation model in form of a second-order random field. We present a new iterative energy minimization technique which achieves empirically good results. This enables us to exceed state-of-the

帽子

Semi-automated Query Construction for Content-Based Endomicroscopy Video Retrievalones in particular. Defining a relevant query for CBVR can however be a complex and time-consuming task for non-expert and even expert users. Indeed, uncut endomicroscopy videos may very well contain images corresponding to a variety of different tissue types. Using such uncut videos as queries may

drusen

aplomb

過(guò)份好問(wèn)

Joint Parametric Reconstruction and Motion Correction Framework for Dynamic PET Dataa. We derive a closed form update for the penalised likelihood maximisation which greatly enhances the algorithm’s computational efficiency for practical use. Our algorithm achieves sub-voxel motion correction residual with noisy data in the simulation-based validation and reduces the bias of the di

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費(fèi)解

發(fā)出眩目光芒

jarring

Improved Reconstruction of 4D-MR Images by Motion Predictions artifacts between slices. Especially images from rare motion states, like deep inhalations during free-breathing, suffer from too few observations..To address this problem, we propose to actively generate more suitable images instead of only selecting from the available images. The method is based

gene-therapy