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Kenji Suzuki, Fei Wang, Dinggang Shen and Pingkun Yan
Front matter
1-9
Learning Statistical Correlation of Prostate Deformations for Fast Registration
10-17
Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach
18-25
Computer-Assisted Intramedullary Nailing Using Real-Time Bone Detection in 2D Ultrasound Images
26-34
Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults
35-42
Automated Selection of Standardized Planes from Ultrasound Volume
43-50
Maximum Likelihood and James-Stein Edge Estimators for Left Ventricle Tracking in 3D Echocardiography
51-58
A Locally Deformable Statistical Shape Model
59-66
Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI
67-74
DCE-MRI Analysis Using Sparse Adaptive Representations
75-82
Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D & 3D Echocardiography
83-90
A Non-rigid Registration Framework That Accommodates Pathology Detection
91-99
Segmentation Based Features for Lymph Node Detection from 3-D Chest CT
100-108
Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models
109-116
Texture Analysis by a PLS Based Method for Combined Feature Extraction and Selection
117-125
An Effective Supervised Framework for Retinal Blood Vessel Segmentation Using Local Standardisation and Bagging
126-133
Automated Identification of Thoracolumbar Vertebrae Using Orthogonal Matching Pursuit
134-141
Segmentation of Skull Base Tumors from MRI Using a Hybrid Support Vector Machine-Based Method
142-150
Spatial Nonparametric Mixed-Effects Model with Spatial-Varying Coefficients for Analysis of Populations
151-158
A Machine Learning Approach to Tongue Motion Analysis in 2D Ultrasound Image Sequences
159-166
Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia
167-174
Probabilistic Graphical Model of SPECT/MRI
175-183
Directed Graph Based Image Registration
184-192
Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation
193-200
Network-Based Classification Using Cortical Thickness of AD Patients
201-208
Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer’s Disease
209-216
Rapidly Adaptive Cell Detection Using Transfer Learning with a Global Parameter
217-224
Automatic Morphological Classification of Lung Cancer Subtypes with Boosting Algorithms for Optimizing Therapy
225-232
Hot Spots Conjecture and Its Application to Modeling Tubular Structures
233-240
Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images
241-248
Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression
249-256
Automated Cephalometric Landmark Localization Using Sparse Shape and Appearance Models
257-264
A Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image
265-272
A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction
273-281
Automated Detection of Major Thoracic Structures with a Novel Online Learning Method
282-290
Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices
291-299
Tree Structured Model of Skin Lesion Growth Pattern via Color Based Cluster Analysis
300-307
Subject-Specific Cardiac Segmentation Based on Reinforcement Learning with Shape Instantiation
308-316
Faster Segmentation Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness
317-325
Automated Nuclear Segmentation of Coherent Anti-Stokes Raman Scattering Microscopy Images by Coupling Superpixel Context Information with Artificial Neural Networks
326-334
3D Segmentation in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients
335-343
Automatic Human Knee Cartilage Segmentation from Multi-contrast MR Images Using Extreme Learning Machines and Discriminative Random Fields
344-351
MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer’s Disease
352-359
Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization
360-367
Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques
Back matter
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