E-raamat: Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings

Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR
Images.- Integrating Multiple Network Properties for MCI Identification.-
Learning-Boosted Label Fusion for Multi-atlas Auto-Segmentation.- Volumetric
Segmentation of Key Fetal Brain Structures in 3D Ultrasound.- Sparse
Classification with MRI Based Markers for Neuromuscular Disease
Categorization.- Fully Automatic Detection of the Carotid Artery from
Volumetric Ultrasound Images Using Anatomical Position-Dependent LBP
Features.- A Transfer-Learning Approach to Image Segmentation Across Scanners
by Maximizing Distribution Similarity.- A New Algorithm of Electronic
Cleansing for Weak Faecal-Tagging CT Colonography.- A Unified Approach to
Shape Model Fitting and Non-rigid Registration.- A Bayesian Algorithm for
Image-Based Time-to-Event Prediction.- Patient-Specific Manifold Embedding of
Multispectral Images Using Kernel Combinations.- fMRI Analysis with Sparse
Weisfeiler-Lehman Graph Statistics.- Patch-Based Segmentation without
Registration: Application to Knee MRI.- Flow-Based Correspondence Matching in
Stereovision.- Thickness NETwork (ThickNet) Features for the Detection of
Prodromal AD.- Metric Space Structures for Computational Anatomy.-
Discriminative Group Sparse Representation for Mild Cognitive Impairment
Classification.- Temporally Dynamic Resting-State Functional Connectivity
Networks for Early MCI Identification.- An Improved Optimization Method for
the Relevance Voxel Machine.- Disentanglement of Session and Plasticity
Effects in Longitudinal fMRI Studies.- Identification of Alzheimers Disease
Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion.- On
Feature Relevance in Image-Based Prediction Models: An Empirical Study.-
Decision Forests with Spatio-Temporal Features for Graph-Based Tumor
Segmentation in 4D Lung CT.- Improving Probabilistic Image Registration via
Reinforcement Learning and Uncertainty Evaluation.- HEp-2 Cell Image
Classification: AComparative Analysis.- A 2.5D Colon Wall Flattening Model
for CT-Based Virtual Colonoscopy.- Augmenting Auto-context with Global
Geometric Features for Spinal Cord Segmentation.- Large-Scale Manifold
Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor
Progression Prediction.- Ensemble Universum SVM Learning for Multimodal
Classification of Alzheimers Disease.- Joint Sparse Coding Spatial Pyramid
Matching for Classification of Color Blood Cell Image.- Multi-task Sparse
Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR
Images.- Sparse Multimodal Manifold-Regularized Transfer Learning for MCI
Conversion Prediction.