Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers

✍ Scribed by Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Shaoting Zhang, Weidong Cai, Dimitris Metaxas (eds.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 187
• Series: Lecture Notes in Computer Science 9601
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015.

The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.

✦ Table of Contents

Front Matter....Pages I-XV
Front Matter....Pages 1-1
Overview of the 2015 Workshop on Medical Computer Vision — Algorithms for Big Data (MCV 2015)....Pages 3-9
Front Matter....Pages 11-11
Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly....Pages 13-23
Relationship Induced Multi-atlas Learning for Alzheimer’s Disease Diagnosis ....Pages 24-33
Front Matter....Pages 35-35
Hierarchical Multi-Organ Segmentation Without Registration in 3D Abdominal CT Images....Pages 37-46
Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes....Pages 47-56
Front Matter....Pages 57-57
Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation....Pages 59-71
Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest....Pages 72-82
Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains....Pages 83-92
Front Matter....Pages 93-93
Calibrationless Parallel Dynamic MRI with Joint Temporal Sparsity....Pages 95-102
Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations....Pages 103-115
Psoas Major Muscle Segmentation Using Higher-Order Shape Prior....Pages 116-124
Front Matter....Pages 125-125
Joint Feature-Sample Selection and Robust Classification for Parkinson’s Disease Diagnosis....Pages 127-136
Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation....Pages 137-145
Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression....Pages 146-154
A Survey of Mathematical Structures for Extending 2D Neurogeometry to 3D Image Processing....Pages 155-167
Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution....Pages 168-179
Back Matter....Pages 181-182

✦ Subjects

Image Processing and Computer Vision;Pattern Recognition;Health Informatics