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| The LNCS series reports state-of-the-art results in computer science research，development，and education，at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community，with numerous individuals，as well as with prestigious organizations and societies，LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS，including its subseries LNAI，spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes. —proceedings （published in time for the respective conference） —post-proceedings （consisting of thoroughly revised final full papers） —research monographs（which may be based on outstanding PhD work，research projects，technical reports，etc.）. |
| 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 hnpact 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 CMcium 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 …… |
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