Medical Image Computing and Computer-Assisted Intervention • MICCAI 2015, Part III

Medical Image Computing and Computer-Assisted Intervention • MICCAI 2015, Part III

18th International Conference, Munich, Germany, October 5-9, 2015 Proceedings, Part III
Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro Frangi (Eds.)

The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have been organized in the following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided diagnosis: automation; quantitative image analysis II: classification, detection, features, and morphology; advanced MRI: diffusion, fMRI, DCE; quantitative image analysis III: motion, deformation, development and degeneration; quantitative image analysis IV: microscopy, fluorescence and histological imagery; registration: method and advanced applications; reconstruction, image formation, advanced acquisition - computational imaging; modelling and simulation for diagnosis and interventional planning; computer-assisted and image-guided interventions.

Contents
Unsupervised Myocardial Segmentation for Cardiac MRI - Mukhopadhyay, Anirban (et al.) - Seiten 12-20
Multimodal Cortical Parcellation Based on Anatomical and Functional Brain Connectivity - Wang, Chendi (et al.) - Seiten 21-28
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning - Wang, Guotai (et al.) - Seiten 29-37
GPSSI: Gaussian Process for Sampling Segmentations of Images - Lê, Matthieu (et al.) - Seiten 38-46
Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI - Arslan, Salim (et al.) - Seiten 47-54
Interactive Multi-organ Segmentation Based on Multiple Template Deformation - Gauriau, Romane (et al.) - Seiten 55-62
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data - Guo, Yanrong (et al.) - Seiten 63-71
Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI - Melbourne, Andrew (et al.) - Seiten 72-79
Interactive Whole-Heart Segmentation in Congenital Heart Disease - Pace, Danielle F. (et al.) - Seiten 80-88
Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior - Qiu, Wu (et al.) - Seiten 89-96
Multiple Surface Segmentation Using Truncated Convex Priors - Shah, Abhay (et al.) - Seiten 97-104
Statistical Power in Image Segmentation: Relating Sample Size to Reference Standard Quality - Gibson, Eli (et al.) - Seiten 105-113
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs - Gao, Yaozong (et al.) - Seiten 114-122
Corpus Callosum Segmentation in MS Studies Using Normal Atlases and Optimal Hybridization of Extrinsic and Intrinsic Image Cues - Tang, Lisa Y. W. (et al.) - Seiten 123-131
Brain Tissue Segmentation Based on Diffusion MRI Using l0 Sparse-Group Representation Classification - Yap, Pew-Thian (et al.) - Seiten 132-139
A Latent Source Model for Patch-Based Image Segmentation - Chen, George H. (et al.) - Seiten 140-148
Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis - Wang, Chunliang (et al.) - Seiten 149-156
Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information - Bates, Russell (et al.) - Seiten 157-164
A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation - Parisot, Sarah (et al.) - Seiten 16