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

polysomnography

書目名稱Biomedical Image Registration影響因子(影響力)




書目名稱Biomedical Image Registration影響因子(影響力)學(xué)科排名




書目名稱Biomedical Image Registration網(wǎng)絡(luò)公開度




書目名稱Biomedical Image Registration網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Biomedical Image Registration被引頻次




書目名稱Biomedical Image Registration被引頻次學(xué)科排名




書目名稱Biomedical Image Registration年度引用




書目名稱Biomedical Image Registration年度引用學(xué)科排名




書目名稱Biomedical Image Registration讀者反饋




書目名稱Biomedical Image Registration讀者反饋學(xué)科排名

Amenable

音樂戲劇

echnic

芭蕾舞女演員

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.

Colonnade

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

空洞

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

Middle-Ear

鋼盔

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

領(lǐng)袖氣質(zhì)

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