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Titlebook: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017; 20th International C Maxime Descoteaux,Lena Maier-Hein,Simon Duch

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Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Imagesdditional information to the non-linear mapping process. We evaluated our proposed framework on 10 clinical MR images acquired from COPD patients. It outperformed state-of-the-art approaches in segmenting the lungs and lobes, yielding a mean Dice score of 95.7%.
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Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESAspatial locations over different populations. The discovered sLTPs are shown to have high reproducibility, ability to encode standard emphysema subtypes, and significant associations with clinical characteristics.
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Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Informationetwork fusion method. ., we apply a hierarchical affinity propagation clustering approach to group subjects into several clusters based on the fused similarity matrix. The proposed framework is generic and can be applied to any cortical region, or even the whole cortical surface. Experiments are car
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Longitudinal Modeling of Multi-modal Image Contrast Reveals Patterns of Early Brain Growthting non-linear contrast functions enable the study of maturation in various regions of interest. Our analysis of several brain regions in a study of 70 healthy children reveals a posterior to anterior pattern of timing of maturation in the major lobes of the cerebral cortex, with posterior regions
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