Machine Learning in Medical Imaging First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Wang, Fei (Επιμελητής έκδοσης), Yan, Pingkun (Επιμελητής έκδοσης), Suzuki, Kenji (Επιμελητής έκδοσης), Shen, Dinggang (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Σειρά: Lecture Notes in Computer Science, 6357
• Θέματα: Computer science.; Radiology.; Algorithms.; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Image Processing and Computer Vision.; Imaging / Radiology.; Pattern Recognition.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Algorithm Analysis and Problem Complexity.

The first International Workshop on Machine Learning in Medical Imaging, MLMI 2010, was held at the China National Convention Center, Beijing, China on Sept- ber 20, 2010 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2010. Mac...

Πίνακας περιεχομένων:

• 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.