Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers

✍ Scribed by Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang (auth.), Fei Wang, Dinggang Shen, Pingkun Yan, Kenji Suzuki (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2012
• Tongue: English
• Leaves: 287
• Series: Lecture Notes in Computer Science 7588
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012.
The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.

✦ Table of Contents

Front Matter....Pages -
Transductive Prostate Segmentation for CT Image Guided Radiotherapy....Pages 1-9
Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries....Pages 10-18
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra....Pages 19-26
Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer’s Disease....Pages 27-35
Dense Deformation Reconstruction via Sparse Coding....Pages 36-44
Group Sparsity Constrained Automatic Brain Label Propagation....Pages 45-53
Sparse Patch-Guided Deformation Estimation for Improved Image Registration....Pages 54-62
Computer-Aided Detection of Aneurysms in 3D Time-of-Flight MRA Datasets....Pages 63-69
Data Driven Constraints for the SVM....Pages 70-77
Towards Improving the Accuracy of Sensorless Freehand 3D Ultrasound by Learning....Pages 78-85
A Novel 3D Joint MGRF Framework for Precise Lung Segmentation....Pages 86-93
Nonlinear Discriminant Graph Embeddings for Detecting White Matter Lesions in FLAIR MRI....Pages 94-102
Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination....Pages 103-110
Human Age Estimation with Surface-Based Features from MRI Images....Pages 111-118
Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability....Pages 119-127
Simultaneous Registration and Segmentation by L1 Minimization....Pages 128-135
On the Creation of Generic fMRI Feature Networks Using 3-D Moment Invariants....Pages 136-143
Description and Classification of Confocal Endomicroscopic Images for the Automatic Diagnosis of Inflammatory Bowel Disease....Pages 144-151
A Localized MKL Method for Brain Classification with Known Intra-class Variability....Pages 152-159
Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach....Pages 160-167
Learning to Locate Cortical Bone in MRI....Pages 168-175
Quality Classification of Microscopic Imagery with Weakly Supervised Learning....Pages 176-183
Graph-Based Inter-subject Classification of Local fMRI Patterns....Pages 184-192
Combining Multiple Image Segmentations by Maximizing Expert Agreement....Pages 193-200
Cardiac LV and RV Segmentation Using Mutual Context Information....Pages 201-209
Non-parametric Density Modeling and Outlier-Detection in Medical Imaging Datasets....Pages 210-217
Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative....Pages 218-225
Gradient Projection Learning for Parametric Nonrigid Registration....Pages 226-233
Learning to Rank from Medical Imaging Data....Pages 234-241
Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation....Pages 242-249
A Random Forest Based Approach for One Class Classification in Medical Imaging....Pages 250-257
Finding Deformable Shapes by Correspondence-Free Instantiation and Registration of Statistical Shape Models....Pages 258-265
Computer Aided Skin Lesion Diagnosis with Humans in the Loop....Pages 266-274
Back Matter....Pages -

✦ Subjects

Image Processing and Computer Vision; Pattern Recognition; Artificial Intelligence (incl. Robotics); Computer Imaging, Vision, Pattern Recognition and Graphics; Database Management; Computer Graphics