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Titlebook: Biomedical Image Registration; Second International James C. Gee,J. B. Antoine Maintz,Michael W. Vanni Conference proceedings 2003 Springer

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發(fā)表于 2025-3-21 16:42:33 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Biomedical Image Registration
期刊簡稱Second International
影響因子2023James C. Gee,J. B. Antoine Maintz,Michael W. Vanni
視頻videohttp://file.papertrans.cn/189/188052/188052.mp4
發(fā)行地址Includes supplementary material:
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Biomedical Image Registration; Second International James C. Gee,J. B. Antoine Maintz,Michael W. Vanni Conference proceedings 2003 Springer
影響因子The 2nd International Workshop on Biomedical Image Registration (WBIR) was held June 23–24, 2003, at the University of Pennsylvania, Philadelphia. Following the success of the ?rst workshop in Bled, Slovenia, this meeting aimed to once again bring together leading researchers in the area of biomedical image registration to present and discuss recent developments in the ?eld. Thetheory,implementationandapplicationofimageregistrationinmedicine have become major themes in nearly every scienti?c forum dedicated to image processingandanalysis. Thisintenseinterestre?ectsthe?eld’simportantrolein theconductofabroadandcontinuallygrowingrangeofstudies. Indeed,thete- niques have enabled some of the most exciting contemporary developments in the clinical and research application of medical imaging, including fusion of m- timodality data to assist clinical interpretation; change detection in longitudinal studies; brain shift modeling to improve anatomic localization in neurosurgical procedures; cardiac motion quanti?cation; construction of probabilistic atlases of organ structure and function; and large-scale phenotyping in animal models. WBIR was conceived to provide the burgeoning community o
Pindex Conference proceedings 2003
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Labour Productivity and Flexibilityular curvature based regularizer, which has been demonstrated to produce very satisfactory results in conjunction with the sum of squared differences distance measure. The method is evaluated for inter-subject MR brain image registration using simulated deformations and compared with a scheme that a
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https://doi.org/10.1007/978-1-349-25977-9 method for designing variational energies that adjust the optimization process over the solution domain such that features which are salient in the human decision-making process are used. The application here is locating correspondence of corpora callosa that agree with expert user data. General pr
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Labour Questions in the Global Southping and non-overlapping shapes, open curves, and landmarks based on the level set approach. When implemented in 3-D, the same framework could be used to warp 3-D objects with minimal modification. Our approach is to use the level set functions to represent the objects to be matched. Using this repr
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Praveen Jha,Lyn Ossome,Walter Chambatier pre- and intra-operative information. In this paper we present and test a technique that can be used to measure brain surface motion automatically. This method relies on a tracked laser range scanner (LRS) that can acquire simultaneously a picture and the 3D physical coordinates of objects within
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https://doi.org/10.1007/978-1-349-14497-6plied to MRI scans from two groups. The study populations were 9 right-handed and 9 left-handed adult males from ages of 24 to 51 years old. The mean brain shape of each population was computed and used as the reference shape for detecting shape differences. Nonrigid, ICLEIR transformations that reg
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