Machine Learning in Medical Imaging: First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010 (Paperback)

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 Body Trunk CT Images.- Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography.