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Author:   Fei Wang ,  Pingkun Yan ,  Kenji Suzuki ,  Dinggang Shen
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Volume:   6357
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 22.90cm
Weight:   0.454kg
ISBN:  

9783642159473

ISBN 10:   3642159478
Pages:   192
Publication Date:   03 September 2010
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images.- Automated Intervertebral Disc Detection from Low Resolution, Sparse MRI Images for the Planning of Scan Geometries.- Content-Based Medical Image Retrieval with Metric Learning via Rank Correlation.- A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference.- Patch-Based Generative Shape Model and MDL Model Selection for Statistical Analysis of Archipelagos.- Prediction of Dementia by Hippocampal Shape Analysis.- Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis.- Appearance Normalization of Histology Slides.- Parallel Mean Shift for Interactive Volume Segmentation.- Soft Tissue Discrimination Using Magnetic Resonance Elastography with a New Elastic Level Set Model.- Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization.- Relation-Aware Spreadsheets for Multimodal Volume Segmentation and Visualization.- A Bayesian Learning Application to Automated Tumour Segmentation for Tissue Microarray Analysis.- Generalized Sparse Classifiers for Decoding Cognitive States in fMRI.- Manifold Learning for Biomarker Discovery in MR Imaging.- Optimal Live Cell Tracking for Cell Cycle Study Using Time-Lapse Fluorescent Microscopy Images.- Fully Automatic Joint Segmentation for Computer-Aided Diagnosis and Planning.- Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network.- Feature Extraction for fMRI-Based Human Brain Activity Recognition.- Sparse Spatio-temporal Inference of Electromagnetic Brain Sources.- Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis.- Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in BodyTrunk CT Images.- Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography.

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