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Titlebook: Biomedical Image Registration; 6th International Wo Sébastien Ourselin,Marc Modat Conference proceedings 2014 Springer International Publis

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發(fā)表于 2025-3-21 16:25:08 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Biomedical Image Registration
期刊簡稱6th International Wo
影響因子2023Sébastien Ourselin,Marc Modat
視頻videohttp://file.papertrans.cn/189/188053/188053.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Biomedical Image Registration; 6th International Wo Sébastien Ourselin,Marc Modat Conference proceedings 2014 Springer International Publis
影響因子.This book constitutes the refereed proceedings of the 6th International Workshop on Biomedical Image Registration, WBIR 2014, held in London, UK, in July 2014..The 16 full papers and 8 poster papers included in this volume were carefully reviewed and selected from numerous submitted papers. The full papers are organized in the following topical sections: computational efficiency, model based regularisation, optimisation, reconstruction, interventional application and application specific measures of similarity..
Pindex Conference proceedings 2014
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書目名稱Biomedical Image Registration影響因子(影響力)




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沙發(fā)
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A Hierarchical Coarse-to-Fine Approach for Fundus Image Registrationening program, into 100 mosaics. Accuracy assessment by experienced clinical experts showed that 89 (out of 100) mosaics were either free of any noticeable misalignment or have a misalignment smaller than the width of the misaligned vessel.
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發(fā)表于 2025-3-22 12:53:53 | 只看該作者
Combining Image Registration, Respiratory Motion Modelling, and Motion Compensated Image Reconstructsingle image. The framework can also incorporate motion compensated image reconstruction by iterating between model fitting and image reconstruction. This means it is possible to estimate both the motion and the motion compensated reconstruction just from the partial imaging data and a respiratory s
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Fast and Robust 3D to 2D Image Registration by Backprojection of Gradient Covariancesethods was evaluated on two publicly available image datasets, one of cerebral angiograms and the other of a spine cadaver, using standardized evaluation methodology. Results showed that the proposed method outperformed the current state-of-the-art methods and achieved registration accuracy of 0.5 m
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Deformable Registration of Multi-modal Microscopic Images Using a Pyramidal Interactive Registrationn initialization and rely on the robustness of machine learning to the outliers and label updates via pyramidal deformable registration to gain better learning and predictions. In this sense, the proposed methodology has potential to be adapted in other learning problems as the manual labelling is u
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發(fā)表于 2025-3-23 07:42:51 | 只看該作者
Motion Correction of Intravital Microscopy of Preclinical Lung Tumour Imaging Using Multichannel Strel MIND (mMIND) are here presented. The proposed registration technique estimates both rigid transformations and non-linear deformations both common in the optical microscopy volumes and time-sequences acquisition. The performance of our registration technique based on a novel multichannel image rep
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