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

Flirtatious

Yasser Ghanbari,Luke Bloy,Varsha Shankar,J. Christopher Edgar,Timothy P. L. Roberts,Robert T. Schult

BACLE

Mitigate

Alireza Akhondi-Asl,Onur Afacan,Robert V. Mulkern,Simon K. Warfield

emulsify

Generalized Multiresolution Hierarchical Shape Models via Automatic Landmark Clusterizationutomatized thanks to the new agglomerative landmark clustering method presented here. Our new and automatic GMRH-PDM framework performed significantly better than classical approaches, and as well as the state-of-the-art with the best manual configuration. Evaluations have been studied for two diffe

果核

Genus-One Surface Registration via Teichmüller Extremal Mappingrmal (QC) iteration, to find the Teichmüller extremal mapping between the covering spaces of genus-1 surfaces. By representing the set of diffeomorphisms using Beltrami coefficients (BCs), we look for an optimal BC which corresponds to our desired diffeomorphism that matches prescribed features and

炼油厂

蒙太奇

托运

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounderso-occurring patterns with respect to gradient orientations. We demonstrate the utility of CoLlAGe in distinguishing two subtly different types of pathologies on MRI in the context of brain tumors and breast cancer. In the first problem, we look at CoLlAGe for distinguishing radiation effects from re

平静生活

Automatic Clustering and Thickness Measurement of Anatomical Variants of the Human Perirhinal Cortexed MRI scans that are preferred by many authors for detailed imaging of the MTL, but which pose challenges for segmentation and shape analysis. After automatically labeling MTL substructures using multi-atlas segmentation, our method clusters subjects into groups based on the shape of the PRC, const

懒惰人民

Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Curfaces of each infant. Then we establish intersubject cortical correspondences by groupwise registration of the within-subject mean cortical folding geometries of all infants. More importantly, for the first time, we further parcellate the 4D infant surface atlases into developmentally and function