Titlebook: Biomedical Image Registration; 5th International Wo Beno?t M. Dawant,Gary E. Christensen,Daniel Ruecke Conference proceedings 2012 Springer

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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

adipose-tissue

Introduction to Biological Macromolecules,d to implement using readily available large displacement diffeomorphic metric mapping (LDDMM) shooting algorithms and decouples the problem into pairwise image registrations allowing parallel computations. We evaluate the approach using 2D synthetic images and real 3D brain images.

煩躁的女人

Consolidation of Axiomatic Set Theoryract the centerline using a minimum cost path approach in which the cost is defined by medialness and an intensity based similarity term. The two centerlines are aligned by an iterative closest point (ICP) algorithm, using rigid and thin-plate spline transformation models. The resulting point corres

infarct

Grievance

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Registration of Free-Hand Ultrasound and MRI of Carotid Arteries through Combination of Point-Based ract the centerline using a minimum cost path approach in which the cost is defined by medialness and an intensity based similarity term. The two centerlines are aligned by an iterative closest point (ICP) algorithm, using rigid and thin-plate spline transformation models. The resulting point corres

精密

A Method for Automated Cortical Surface Registration and Labelingefine the locations of the sulcal curves sulci and label boundaries further, such that they follow the true sulcal fundi more closely. The flow is formulated using a level set based method on the cortical surface, which represents the curves as zero level sets. We also incorporate a curvature based

nettle

quiet-sleep

Origins of the Theory of Point-Sets, the results were quantified on 14 cross sections of interest. The main contribution of this work is that the registered results could be used for systematic labeling of tissues, which ultimately will lead to reliable construction of training dataset for feature extraction and supervised classification of atherosclerotic tissues.