Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
ASSERT: a physician-in-the-loop content-based retrieval system for HRCT image databases
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Similarity Searching in Medical Image Databases
IEEE Transactions on Knowledge and Data Engineering
Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Feature Selection Applied to Content-Based Retrieval of Lung Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification-Driven Pathological Neuroimage Retrieval Using Statistical Asymmetry Measures
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Nonparametric discriminant analysis and nearest neighbor classification
Pattern Recognition Letters
Deformable templates using large deformation kinematics
IEEE Transactions on Image Processing
Fast rigid registration of vascular structures in IVUS sequences
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Context modeling in computer vision: techniques, implications, and applications
Multimedia Tools and Applications
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In medical imaging, comparing and retrieving objects is non-trivial because of the high variability in shape and appearance. Such variety leads to poor performance of retrieval algorithms only based on local or global descriptors (shape, color, texture). In this article, we propose a context-based framework for medical image retrieval on the grounds of a global object context based on the mutual positions of local descriptors. This characterization is incorporated into a fast non-rigid registration process to provide invariance against elastic transformations. We apply our method to a complex domain of images-retrieval of intravascular ultrasound images according to vessel morphology. Final results are very encouraging.