Computer Vision for Biomedical Image Applications First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Liu, Yanxi (Επιμελητής έκδοσης), Jiang, Tianzi (Επιμελητής έκδοσης), Zhang, Changshui (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Σειρά: Lecture Notes in Computer Science, 3765
• Θέματα: Computer science.; Health informatics.; Radiology.; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Pattern Recognition.; Image Processing and Computer Vision.; Computer Graphics.; Artificial Intelligence (incl. Robotics).; Imaging / Radiology.; Health Informatics.

With the rapid increase in the variety and quantity of biomedical images in recent years, we see a steadily growing number of computer vision technologies applied to biomedical applications. The time is ripe for us to take a closer look at the accomplishments and experiences gained in this research...

Πίνακας περιεχομένων:

• Computational Anatomy and Computational Physiology for Medical Image Analysis
• Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge
• Advances on Medical Imaging and Computing
• Tracking of Migrating and Proliferating Cells in Phase-Contrast Microscopy Imagery for Tissue Engineering
• Cardiology Meets Image Analysis: Just an Application or Can Image Analysis Usefully Impact Cardiology Practice?
• Computer Vision Algorithms for Retinal Image Analysis: Current Results and Future Directions
• 3D Statistical Shape Models to Embed Spatial Relationship Information
• A Generalized Level Set Formulation of the Mumford-Shah Functional with Shape Prior for Medical Image Segmentation
• A Hybrid Eulerian-Lagrangian Approach for Thickness, Correspondence, and Gridding of Annular Tissues
• A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints
• A Learning Framework for the Automatic and Accurate Segmentation of Cardiac Tagged MRI Images
• A Local Adaptive Algorithm for Microaneurysms Detection in Digital Fundus Images
• A New Coarse-to-Fine Framework for 3D Brain MR Image Registration
• A New Vision Approach for Local Spectrum Features in Cervical Images via 2D Method of Geometric Restriction in Frequency Domain
• Active Contours Under Topology Control Genus Preserving Level Sets
• A Novel Multifaceted Virtual Craniofacial Surgery Scheme Using Computer Vision
• A Novel Unsupervised Segmentation Method for MR Brain Images Based on Fuzzy Methods
• A Pattern Classification Approach to Aorta Calcium Scoring in Radiographs
• A Topologically Faithful, Tissue-Guided, Spatially Varying Meshing Strategy for Computing Patient-Specific Head Models for Endoscopic Pituitary Surgery Simulation
• Applying Prior Knowledge in the Segmentation of 3D Complex Anatomic Structures
• Automatic Extraction of Femur Contours from Hip X-Ray Images
• Automatic Landmarking of 2D Medical Shapes Using the Growing Neural Gas Network
• Biomedical Image Classification with Random Subwindows and Decision Trees
• Combining Binary Classifiers for Automatic Cartilage Segmentation in Knee MRI
• Computer-Aided Diagnosis (CAD) for Cervical Cancer Screening and Diagnosis: A New System Design in Medical Image Processing
• Constrained Surface Evolutions for Prostate and Bladder Segmentation in CT Images
• Curvilinear Structure Based Mammographic Registration
• Deformable Registration for Generating Dissection Image of an Intestine from Annular Image Sequence
• Distance-Intensity for Image Registration
• Efficient Population Registration of 3D Data
• Efficient Symbolic Signatures for Classifying Craniosynostosis Skull Deformities
• Elastic Interaction Models for Active Contours and Surfaces
• Estimating Diameters of Pulmonary Nodules with Competition-Diffusion and Robust Ellipsoid Fit
• Fast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interaction
• Improved Motion Correction of fMRI Time-Series Corrupted with Major Head Movement Using Extended Motion-Corrected Independent Component Analysis
• Local or Global Minima: Flexible Dual-Front Active Contours
• Locally Switching Between Cost Functions in Iterative Non-rigid Registration
• Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI)
• Multi-scale Vessel Boundary Detection
• Non-rigid Registration for Colorectal Cancer MR Images
• Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images
• Real-Time Simulation of Deformable Soft Tissue Based on Mass-Spring and Medial Representation
• Registration of 3D Angiographic and X-Ray Images Using Sequential Monte Carlo Sampling
• Registration of PET and MR Hand Volumes Using Bayesian Networks
• Segmentation and Volume Representation Based on Spheres for Non-rigid Registration
• Segmentation of 3D CT Volume Images Using a Single 2D Atlas
• Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
• Segmenting Cardiopulmonary Images Using Manifold Learning with Level Sets
• Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images
• Simultaneous Segmentation and Motion Recovery in 3D Cardiac Image Analysis
• Spatial and Temporal Analysis for Optical Imaging Data Using CWT and tICA
• Stereo Matching and 3-D Reconstruction for Optic Disk Images
• Total Variation Based Iterative Image Reconstruction
• Voronoi-Based Segmentation of Cells on Image Manifolds
• Parcellating the Intra-splenium Based on the Traced Fiber from Tractography
• Motion Compensation and Plane Tracking for Kinematic MR-Imaging.